Liang Lin

According to our database, Liang Lin authored at least 571 papers between 2008 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Self-Prophetic Decoding to Unlock Visual Search in LVLMs.

Zhendong He, Qiyuan Dai, Guanbin Li, Liang Lin, Sibei Yang

CoRR, May, 2026

Where Detectors Fail: Probing Generative Space for Generalizable AI-Generated Image Detection.

Zijie Cao, Weijie Tu, Yao Xiao, Weijian Deng, Liang Lin, Pengxu Wei

CoRR, May, 2026

EchoDistill:Alignment Noisy-to-Clean Self-Distillation for Robust Audio LLMs.

Liang Lin, Chunxi Luo, Kaiwen Luo, Jie Zhang, Jin Wang, Yuanhe Zhang, Yuchen Cai, Qiankun Li, Gongli Xi, Zhenhong Zhou, Kun Wang, Junhao Dong

CoRR, May, 2026

When Preference Labels Fall Short: Aligning Diffusion Models from Real Data.

Weiyan Chen, Weijian Deng, Yao Xiao, Weijie Tu, ZiYi Dong, Ibrahim Radwan, Liang Lin, Pengxu Wei

CoRR, May, 2026

RoVLA: Multi-Consistency Constraints for Robust Vision-Language-Action Models.

Jingzhou Luo, Yifan Wen, Yongjie Bai, Xinshuai Song, Yang Liu, Liang Lin

CoRR, May, 2026

Language Generation as Optimal Control: Closed-Loop Diffusion in Latent Control Space.

ZiYi Dong, Yuliang Huang, Weijian Deng, Xiangyang Ji, Liang Lin, Pengxu Wei

CoRR, May, 2026

Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion.

ShiYing Huang, Liang Lin, Yuer Li, Kaiwen Luo, Zhenhong Zhou, An Zhang, Junhao Dong, Kun Wang, Zhigang Zeng

CoRR, May, 2026

RePO-VLA: Recovery-Driven Policy Optimization for Vision-Language-Action Models.

Weijia Liufu, Xiaoyu Guo, Ruiyi Chen, Jingzhi Liu, Kaidong Zhang, Xiwen Liang, Jianqi Lin, Dawei Sun, Yuze Wang, Rongtao Xu, Bingqian Lin, Bowen Yang, Tongtong Cao, Bowen Peng, Dongyu Zhang, Guangrun Wang, Min Wang, Liang Lin, Xiaodan Liang

CoRR, May, 2026

Large Vision-Language Models Get Lost in Attention.

Gongli Xi, Ye Tian, Mengyu Yang, Huahui Yi, Liang Lin, Xiaoshuai Hao, Kun Wang, Wendong Wang

CoRR, May, 2026

Towards Sample-Efficiency and Generalization of Transfer and Inverse Reinforcement Learning: A Comprehensive Literature Review.

Hossein Hassani, Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif, Liang Lin

IEEE Trans. Artif. Intell., April, 2026

Personalized Cross-Modal Emotional Correlation Learning for Speech-Preserving Facial Expression Manipulation.

Tianshui Chen, Yujie Zhu, Jianman Lin, Zhijing Yang, Chunmei Qing, Feng Gao, Liang Lin

CoRR, April, 2026

Learning Spatial-Temporal Coherent Correlations for Speech-Preserving Facial Expression Manipulation.

Tianshui Chen, Jianman Lin, Zhijing Yang, Chunmei Qing, Guangrun Wang, Liang Lin

CoRR, April, 2026

DreamShot: Personalized Storyboard Synthesis with Video Diffusion Prior.

Junjia Huang, Binbin Yang, Pengxiang Yan, Jiyang Liu, Bin Xia, Zhao Wang, Yitong Wang, Liang Lin, Guanbin Li

CoRR, April, 2026

LookasideVLN: Direction-Aware Aerial Vision-and-Language Navigation.

Yuwei Ning, Ganlong Zhao, Yipeng Qin, Si Liu, Yang Liu, Liang Lin, Guanbin Li

CoRR, April, 2026

OptiMVMap: Offline Vectorized Map Construction via Optimal Multi-vehicle Perspectives.

Zedong Dan, Zijie Wang, Wei Zhang, Xiangru Lin, Weiming Zhang, Xiao Tan, Jingdong Wang, Liang Lin, Guanbin Li

CoRR, April, 2026

Robotic Manipulation is Vision-to-Geometry Mapping (f(v) → G): Vision-Geometry Backbones over Language and Video Models.

Zijian Song, Qichang Li, Jiawei Zhou, Zhenlong Yuan, Tianshui Chen, Liang Lin, Guangrun Wang

CoRR, April, 2026

Referring-Aware Visuomotor Policy Learning for Closed-Loop Manipulation.

Jiahua Ma, Yiran Qin, Xin Wen, Yixiong Li, Yuyu Sun, Yulan Guo, Liang Lin, Ruimao Zhang

CoRR, April, 2026

Towards Practical Lossless Neural Compression for LiDAR Point Clouds.

Pengpeng Yu, Haoran Li, Runqing Jiang, Dingquan Li, Jing Wang, Liang Lin, Yulan Guo

CoRR, March, 2026

TAG: Target-Agnostic Guidance for Stable Object-Centric Inference in Vision-Language-Action Models.

Jiaying Zhou, Zhihao Zhan, Ruifeng Zhai, Qinhan Lyu, Hao Liu, Keze Wang, Liang Lin, Guangrun Wang

CoRR, March, 2026

PointCoT: A Multi-modal Benchmark for Explicit 3D Geometric Reasoning.

Dongxu Zhang, Yiding Sun, Pengcheng Li, Yumou Liu, Hongqiang Lin, Haoran Xu, Xiaoxuan Mu, Liang Lin, Wenbiao Yan, Ning Yang, Chaowei Fang, Juanjuan Zhao, Jihua Zhu, Conghui He, Cheng Tan

CoRR, February, 2026

RADAR: Benchmarking Vision-Language-Action Generalization via Real-World Dynamics, Spatial-Physical Intelligence, and Autonomous Evaluation.

Yuhao Chen, Zhihao Zhan, Xiaoxin Lin, Zijian Song, Hao Liu, Qinhan Lyu, Yubo Zu, Xiao Chen, Zhiyuan Liu, Tao Pu, Tianshui Chen, Keze Wang, Liang Lin, Guangrun Wang

CoRR, February, 2026

Spectral Gating Networks.

Jusheng Zhang, Yijia Fan, Kaitong Cai, Jing Yang, Yongsen Zheng, Kwok-Yan Lam, Liang Lin, Keze Wang

CoRR, February, 2026

AR-MAP: Are Autoregressive Large Language Models Implicit Teachers for Diffusion Large Language Models?

Liang Lin, Feng Xiong, Zengbin Wang, Kun Wang, Junhao Dong, Xuecai Hu, Yong Wang, Xiangxiang Chu

CoRR, February, 2026

DDP-WM: Disentangled Dynamics Prediction for Efficient World Models.

Shicheng Yin, Kaixuan Yin, Weixing Chen, Yang Liu, Guanbin Li, Liang Lin

CoRR, February, 2026

CIREC: Causal Intervention-Inspired Policy Learning to Mitigate Exposure Bias for Interactive Recommendation.

Yongsen Zheng, Guohua Wang, Jinghui Qin, Ziliang Chen, Junfan Lin, Pengxu Wei, Liang Lin, Kwok-Yan Lam

IEEE Trans. Knowl. Data Eng., January, 2026

Unveiling Perceptual Artifacts: A Fine-Grained Benchmark for Interpretable AI-Generated Image Detection.

Yao Xiao, Weiyan Chen, Jiahao Chen, Zijie Cao, Weijian Deng, Binbin Yang, ZiYi Dong, Xiangyang Ji, Wei Ke, Pengxu Wei, Liang Lin

CoRR, January, 2026

Neural Chain-of-Thought Search: Searching the Optimal Reasoning Path to Enhance Large Language Models.

Guoming Ling, Zhongzhan Huang, Yupei Lin, Junxin Li, Shanshan Zhong, Hefeng Wu, Liang Lin

CoRR, January, 2026

RSA-Bench: Benchmarking Audio Large Models in Real-World Acoustic Scenarios.

Yibo Zhang, Liang Lin, Kaiwen Luo, Shilinlu Yan, Jin Wang, Yaoqi Guo, Yitian Chen, Yalan Qin, Zhenhong Zhou, Kun Wang, Li Sun

CoRR, January, 2026

ChronosAudio: A Comprehensive Long-Audio Benchmark for Evaluating Audio-Large Language Models.

Kaiwen Luo, Liang Lin, Yibo Zhang, Moayad Aloqaily, Dexian Wang, Zhenhong Zhou, Junwei Zhang, Kun Wang, Li Sun, Qingsong Wen

CoRR, January, 2026

Bridging the Discrete-Continuous Gap: Unified Multimodal Generation via Coupled Manifold Discrete Absorbing Diffusion.

Yuanfeng Xu, Yuhao Chen, Liang Lin, Guangrun Wang

CoRR, January, 2026

Stable Language Guidance for Vision-Language-Action Models.

Zhihao Zhan, Yuhao Chen, Jiaying Zhou, Qinhan Lv, Hao Liu, Keze Wang, Liang Lin, Guangrun Wang

CoRR, January, 2026

HearSay Benchmark: Do Audio LLMs Leak What They Hear?

Jin Wang, Liang Lin, Kaiwen Luo, Weiliu Wang, Yitian Chen, Moayad Aloqaily, Xuehai Tang, Zhenhong Zhou, Kun Wang, Li Sun, Qingsong Wen

CoRR, January, 2026

Exploiting Temporal Audio-Visual Correlation Embedding for Audio-Driven One-Shot Talking Head Animation.

Zhihua Xu, Tianshui Chen, Zhijing Yang, Chunmei Qing, Keze Wang, Liang Lin

IEEE Trans. Multim., 2026

Toward Top-Down Reasoning: An Explainable Multi-Agent Approach for Visual Question Answering.

Zeqing Wang, Wentao Wan, Qiqing Lao, Runmeng Chen, Minjie Lang, Xiao Wang, Feng Gao, Keze Wang, Liang Lin

IEEE Trans. Multim., 2026

High-Fidelity and Lip-Synced Talking Face Synthesis via Landmark-Based Diffusion Model.

Weizhi Zhong, Junfan Lin, Peixin Chen, Feng Gao, Liang Lin, Guanbin Li

IEEE Trans. Image Process., 2026

Robust Source-Free Domain Adaptation From Non-Robust Source Models.

Yao Xiao, Pengxu Wei, Guangrun Wang, Cong Liu, Liang Lin

IEEE Trans. Image Process., 2026

Enhancing Zero-Shot Adversarial Robustness of Vision-Language Models With Training-Free Adaptive Feature Movement.

Baoshun Tong, Hanjiang Lai, Yan Pan, Jian Yin, Liang Lin

IEEE Trans. Image Process., 2026

Knowledge-guided multi-modality transformer for multi-label genetic mutation prediction.

Gexin Huang, Chenfei Wu, Mingjie Li, Xiaojun Chang, Ying Sun, Lei Xing, Xiaodan Liang, Liang Lin, Guang Yang, Shen Zhao

Pattern Recognit., 2026

SafeCrossNet: Multi-modal fusion with social-aware for pedestrian crossing intention prediction.

Quancheng Du, Lele Xu, Qiong Wu, Huansheng Ning, Xiao Wang, Liang Lin, Changyin Sun

Inf. Fusion, 2026

Similarity-aware Probabilistic Embeddings Modeling for Video-Text Retrieval.

Yuliang Huang, Pengxu Wei, Zhicheng Dong, Liang Lin

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

Learning Physics from Pretrained Video Models: A Multimodal Continuous and Sequential World Interaction Models for Robotic Manipulation.

Zijian Song, Qichang Li, Sihan Qin, Yuhao Chen, Tianshui Chen, Liang Lin, Guangrun Wang

Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

OOWM: Structuring Embodied Reasoning and Planning via Object-Oriented Programmatic World Modeling.

Hongyu Chen, Liang Lin, Guangrun Wang

Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

Human-Centric Open-Future Task Discovery: Formulation, Benchmark, and Scalable Tree-Based Search.

Zijian Song, Xiaoxin Lin, Tao Pu, Zhenlong Yuan, Guangrun Wang, Liang Lin

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment Through Latent Acoustic Pattern Triggers.

Liang Lin, Miao Yu, Kaiwen Luo, Yibo Zhang, Lilan Peng, Dexian Wang, Xuehai Tang, Yuanhe Zhang, Xikang Yang, Zhenhong Zhou, Kun Wang, Yang Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ACD: Direct Conditional Control for Video Diffusion Models via Attention Supervision.

Weiqi Li, Zehao Zhang, Liang Lin, Guangrun Wang

CoRR, December, 2025

Massive Editing for Large Language Models Based on Dynamic Weight Generation.

Wentao Wan, Qiqing Lao, Zhiwei Xie, Hefeng Wu, Runnan Lin, Liang Lin, Keze Wang

CoRR, December, 2025

Enhancing Visual Programming for Visual Reasoning via Probabilistic Graphs.

Wentao Wan, Kaiyu Wu, Qingyang Ma, Nan Kang, Yunjie Chen, Liang Lin, Keze Wang

CoRR, December, 2025

MM-CoT:A Benchmark for Probing Visual Chain-of-Thought Reasoning in Multimodal Models.

Jusheng Zhang, Kaitong Cai, Xiaoyang Guo, Sidi Liu, Qinhan Lv, Ruiqi Chen, Jing Yang, Yijia Fan, Xiaofei Sun, Jian Wang, Ziliang Chen, Liang Lin, Keze Wang

CoRR, December, 2025

VLA Models Are More Generalizable Than You Think: Revisiting Physical and Spatial Modeling.

Weiqi Li, Quande Zhang, Ruifeng Zhai, Liang Lin, Guangrun Wang

CoRR, December, 2025

ℰ₀: Enhancing Generalization and Fine-Grained Control in VLA Models via Continuized Discrete Diffusion.

Zhihao Zhan, Jiaying Zhou, Likui Zhang, Qinhan Lv, Hao Liu, Jusheng Zhang, Weizheng Li, Ziliang Chen, Tianshui Chen, Keze Wang, Liang Lin, Guangrun Wang

CoRR, November, 2025

DreamArtist: Controllable One-Shot Text-to-Image Generation via Positive-Negative Adapter.

Ziyi Dong, Pengxu Wei, Liang Lin

Int. J. Comput. Vis., October, 2025

Boosting Fidelity for Pre-Trained-Diffusion-Based Low-Light Image Enhancement via Condition Refinement.

Xiaogang Xu, Jian Wang, Yunfan Lu, Ruihang Chu, Ruixing Wang, Jiafei Wu, Bei Yu, Liang Lin

CoRR, October, 2025

AngularFuse: A Closer Look at Angle-based Perception for Spatial-Sensitive Multi-Modality Image Fusion.

Xiaopeng Liu, Yupei Lin, Sen Zhang, Xiao Wang, Yukai Shi, Liang Lin

CoRR, October, 2025

Backdoor Collapse: Eliminating Unknown Threats via Known Backdoor Aggregation in Language Models.

Liang Lin, Miao Yu, Moayad Aloqaily, Zhenhong Zhou, Kun Wang, Linsey Pang, Prakhar Mehrotra, Qingsong Wen

CoRR, October, 2025

SaFeR-VLM: Toward Safety-aware Fine-grained Reasoning in Multimodal Models.

Huahui Yi, Kun Wang, Qiankun Li, Miao Yu, Liang Lin, Gongli Xi, Hao Wu, Xuming Hu, Kang Li, Yang Liu

CoRR, October, 2025

Authentic Discrete Diffusion Model.

Xiao Li, Jiaqi Zhang, Shuxiang Zhang, Tianshui Chen, Liang Lin, Guangrun Wang

CoRR, October, 2025

Parametric Linear Blend Skinning Model for Multiple-Shape 3D Garments.

Xipeng Chen, Guangrun Wang, Xiaogang Xu, Philip Torr, Liang Lin

IEEE Trans. Vis. Comput. Graph., September, 2025

ODMixer: Fine-Grained Spatial-Temporal MLP for Metro Origin-Destination Prediction.

Yang Liu, Binglin Chen, Yongsen Zheng, Lechao Cheng, Guanbin Li, Liang Lin

IEEE Trans. Knowl. Data Eng., September, 2025

OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective Alignment.

Liang Lin, Zhihao Xu, Junhao Dong, Jian Zhao, Yuchen Yuan, Guibin Zhang, Miao Yu, Yiming Zhang, Zhengtao Yao, Huahui Yi, Dongrui Liu, Xinfeng Li, Kun Wang

CoRR, September, 2025

Embodied Arena: A Comprehensive, Unified, and Evolving Evaluation Platform for Embodied AI.

Fei Ni, Min Zhang, Pengyi Li, Yifu Yuan, Lingfeng Zhang, Yuecheng Liu, Peilong Han, Longxin Kou, Shaojin Ma, Jinbin Qiao, David Gamaliel Arcos Bravo, Yuening Wang, Xiao Hu, Zhanguang Zhang, Xianze Yao, Yutong Li, Zhao Zhang, Ying Wen, Ying-Cong Chen, Xiaodan Liang, Liang Lin, Bin He, Haitham Bou-Ammar, He Wang, Huazhe Xu, Jiankang Deng, Shan Luo, Shuqiang Jiang, Wei Pan, Yang Gao, Stefanos Zafeiriou, Jan Peters, Yuzheng Zhuang, Yingxue Zhang, Yan Zheng, Hongyao Tang, Jianye Hao

CoRR, September, 2025

CrossFuse: Learning Infrared and Visible Image Fusion by Cross-Sensor Top-K Vision Alignment and Beyond.

Yukai Shi, Cidan Shi, Zhipeng Weng, Yin Tian, Xiaoyu Xian, Liang Lin

IEEE Trans. Circuits Syst. Video Technol., August, 2025

Re-Densification Meets Cross-Scale Propagation: Real-Time Compression of LiDAR Point Clouds.

Pengpeng Yu, Haoran Li, Dingquan Li, Runqing Jiang, Jing Wang, Liang Lin, Yulan Guo

CoRR, August, 2025

GS: Generative Segmentation via Label Diffusion.

Yuhao Chen, Shubin Chen, Liang Lin, Guangrun Wang

CoRR, August, 2025

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models.

Yuanfeng Xu, Zehui Dai, Jian Liang, Jiapeng Guan, Guangrun Wang, Liang Lin, Xiaohui Lv

CoRR, August, 2025

HumanGenesis: Agent-Based Geometric and Generative Modeling for Synthetic Human Dynamics.

Weiqi Li, Zehao Zhang, Liang Lin, Guangrun Wang

CoRR, August, 2025

Physical Autoregressive Model for Robotic Manipulation without Action Pretraining.

Zijian Song, Sihan Qin, Tianshui Chen, Liang Lin, Guangrun Wang

CoRR, August, 2025

Learning to See and Act: Task-Aware View Planning for Robotic Manipulation.

Yongjie Bai, Zhouxia Wang, Yang Liu, Weixing Chen, Ziliang Chen, Mingtong Dai, Yongsen Zheng, Lingbo Liu, Guanbin Li, Liang Lin

CoRR, August, 2025

One Model For All: Partial Diffusion for Unified Try-On and Try-Off in Any Pose.

Jinxi Liu, Zijian He, Guangrun Wang, Guanbin Li, Liang Lin

CoRR, August, 2025

Energy-guided test-time adaptation for data shifts in multi-modal perception.

Yun Pei, Lingbo Liu, Runqing Jiang, Ye Zhang, Pengpeng Yu, Liang Lin, Yulan Guo

Vis. Comput., July, 2025

Contrastive Decoupled Representation Learning and Regularization for Speech-Preserving Facial Expression Manipulation.

Tianshui Chen, Jianman Lin, Zhijing Yang, Chumei Qing, Yukai Shi, Liang Lin

Int. J. Comput. Vis., July, 2025

PanMatch: Unleashing the Potential of Large Vision Models for Unified Matching Models.

Yongjian Zhang, Longguang Wang, Kunhong Li, Ye Zhang, Yun Wang, Liang Lin, Yulan Guo

CoRR, July, 2025

AutoLayout: Closed-Loop Layout Synthesis via Slow-Fast Collaborative Reasoning.

Weixing Chen, Dafeng Chi, Yang Liu, Yuxi Yang, Yexin Zhang, Yuzheng Zhuang, Xingyue Quan, Jianye Hao, Guanbin Li, Liang Lin

CoRR, July, 2025

SIRI-Bench: Challenging VLMs' Spatial Intelligence through Complex Reasoning Tasks.

Zijian Song, Xiaoxin Lin, Qiuming Huang, Guangrun Wang, Liang Lin

CoRR, June, 2025

DART: Differentiable Dynamic Adaptive Region Tokenizer for Vision Transformer and Mamba.

Shicheng Yin, Kaixuan Yin, Yang Liu, Weixing Chen, Liang Lin

CoRR, June, 2025

Continuous Value Assignment: A Doubly Robust Data Augmentation for Off-Policy Learning.

Junfan Lin, Zhongzhan Huang, Keze Wang, Lingbo Liu, Liang Lin

IEEE Trans. Neural Networks Learn. Syst., May, 2025

A Causality-Aware Paradigm for Evaluating Creativity of Multimodal Large Language Models.

Zhongzhan Huang, Shanshan Zhong, Pan Zhou, Shanghua Gao, Marinka Zitnik, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

Geometry-Editable and Appearance-Preserving Object Compositon.

Jianman Lin, Haojie Li, Chunmei Qing, Zhijing Yang, Liang Lin, Tianshui Chen

CoRR, May, 2025

UniErase: Unlearning Token as a Universal Erasure Primitive for Language Models.

Miao Yu, Liang Lin, Guibin Zhang, Xinfeng Li, Junfeng Fang, Ningyu Zhang, Kun Wang, Yang Wang

CoRR, May, 2025

Exploiting Temporal Audio-Visual Correlation Embedding for Audio-Driven One-Shot Talking Head Animation.

Zhihua Xu, Tianshui Chen, Zhijing Yang, Siyuan Peng, Keze Wang, Liang Lin

CoRR, April, 2025

YOLO-LLTS: Real-Time Low-Light Traffic Sign Detection via Prior-Guided Enhancement and Multi-Branch Feature Interaction.

Ziyu Lin, Yunfan Wu, Yuhang Ma, Junzhou Chen, Ronghui Zhang, Jiaming Wu, Guodong Yin, Liang Lin

CoRR, March, 2025

VTON 360: High-Fidelity Virtual Try-On from Any Viewing Direction.

Zijian He, Yuwei Ning, Yipeng Qin, Wangrun Wang, Sibei Yang, Liang Lin, Guanbin Li

CoRR, March, 2025

Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering.

Kaixuan Jiang, Yang Liu, Weixing Chen, Jingzhou Luo, Ziliang Chen, Ling Pan, Guanbin Li, Liang Lin

CoRR, March, 2025

RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs.

Zhongzhan Huang, Guoming Ling, Vincent S. Liang, Yupei Lin, Yandong Chen, Shanshan Zhong, Hefeng Wu, Liang Lin

CoRR, March, 2025

Randomness of Low-Layer Parameters Determines Confusing Samples in Terms of Interaction Representations of a DNN.

Junpeng Zhang, Lei Cheng, Qing Li, Liang Lin, Quanshi Zhang

CoRR, February, 2025

Road Network-Guided Fine-Grained Urban Traffic Flow Inference.

Lingbo Liu, Mengmeng Liu, Guanbin Li, Ziyi Wu, Junfan Lin, Liang Lin

IEEE Trans. Neural Networks Learn. Syst., January, 2025

Efficient and Robust Video Virtual Try-On via Enhanced Multi-Garment Alignment.

Zijian He, Peixin Chen, Guolin Zheng, Guangrun Wang, Xiaonan Luo, Liang Lin, Guanbin Li

IEEE Trans. Multim., 2025

SQLNet: Scale-Modulated Query and Localization Network for Few-Shot Class-Agnostic Counting.

Hefeng Wu, Yandong Chen, Lingbo Liu, Tianshui Chen, Keze Wang, Liang Lin

IEEE Trans. Image Process., 2025

Neural Scene Designer: Self-Styled Semantic Image Manipulation.

Jianman Lin, Tianshui Chen, Chunmei Qing, Zhijing Yang, Shuangping Huang, Yuheng Ren, Liang Lin

IEEE Trans. Image Process., 2025

Cross-Modal Causal Representation Learning for Radiology Report Generation.

Weixing Chen, Yang Liu, Ce Wang, Jiarui Zhu, Guanbin Li, Cheng-Lin Liu, Liang Lin

IEEE Trans. Image Process., 2025

DFVO: Learning Darkness-Free Visible and Infrared Image Disentanglement and Fusion All at Once.

Qi Zhou, Yukai Shi, Xiaojun Yang, Xiaoyu Xian, Lunjia Liao, Ruimao Zhang, Liang Lin

IEEE Trans. Instrum. Meas., 2025

Scaling Up Single Image Dehazing Algorithm by Cross-Data Vision Alignment for Richer Representation Learning and Beyond.

Yukai Shi, Zhipeng Weng, Yupei Lin, Cidan Shi, Xingyuan Guo, Xiaojun Yang, Liang Lin

IEEE Trans. Instrum. Meas., 2025

YOLO-LLTS: Real-Time Low-Light Traffic Sign Detection via Prior-Guided Enhancement and Multibranch Feature Interaction.

Ziyu Lin, Yunfan Wu, Yuhang Ma, Junzhou Chen, Ronghui Zhang, Jiaming Wu, Guodong Yin, Liang Lin

IEEE Trans. Instrum. Meas., 2025

Rethinking Generalizable Infrared Small Target Detection: A Real-Scene Benchmark and Cross-View Representation Learning.

Yahao Lu, Yuehui Li, Xingyuan Guo, Shuai Yuan, Yukai Shi, Liang Lin

IEEE Trans. Geosci. Remote. Sens., 2025

Enhancing out-of-distribution detection via diversified multi-prototype contrastive learning.

Yulong Jia, Jiaming Li, Ganlong Zhao, Shuangyin Liu, Weijun Sun, Liang Lin, Guanbin Li

Pattern Recognit., 2025

A novel linear discriminant analysis based on alternate ratio sum minimization.

Xiaojun Yang, Chuanjie Cao, Keyi Zhou, Siyuan Peng, Zheng Wang, Liang Lin, Feiping Nie

Inf. Sci., 2025

Counterfactual Balancing Feature Alignment for Few-Shot Cross-Domain Scene Parsing.

Cody Mingzhan Sun, Ziliang Chen, Liang Lin

IEEE Access, 2025

Delving into Cascaded Instability: A Lipschitz Continuity View on Image Restoration and Object Detection Synergy.

Qing Zhao, Weijian Deng, Pengxu Wei, ZiYi Dong, Hannan Lu, Xiangyang Ji, Liang Lin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Robust Egocentric Referring Video Object Segmentation via Dual-Modal Causal Intervention.

Haijing Liu, Zhiyuan Song, Hefeng Wu, Tao Pu, Keze Wang, Liang Lin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

3DAffordSplat: Efficient Affordance Reasoning with 3D Gaussians.

Zeming Wei, Junyi Lin, Yang Liu, Weixing Chen, Jingzhou Luo, Guanbin Li, Liang Lin

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

DART: Dual Adaptive Refinement Transfer for Open-Vocabulary Multi-Label Recognition.

Haijing Liu, Tao Pu, Hefeng Wu, Keze Wang, Liang Lin

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

AlphaAgent: LLM-Driven Alpha Mining with Regularized Exploration to Counteract Alpha Decay.

Ziyi Tang, Zechuan Chen, Jiarui Yang, Jiayao Mai, Yongsen Zheng, Keze Wang, Jinrui Chen, Liang Lin

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Are High-Quality AI-Generated Images More Difficult for Models to Detect?

Yao Xiao, Binbin Yang, Weiyan Chen, Jiahao Chen, Zijie Cao, ZiYi Dong, Xiangyang Ji, Liang Lin, Wei Ke, Pengxu Wei

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Language Models as Implicit Tree Search.

Ziliang Chen, Zhao-Rong Lai, Yufeng Yang, Liangda Fang, Zhanfu Yang, Liang Lin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective.

Yiming Liu, Kezhao Liu, Yao Xiao, Ziyi Dong, Xiaogang Xu, Pengxu Wei, Liang Lin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Free-Moref: Instantly Multiplexing Context Perception Capabilities of Video-Mllms Within Single Inference.

Kuo Wang, Quanlong Zheng, Junlin Xie, Yanhao Zhang, Jinguo Luo, Haonan Lu, Liang Lin, Fan Zhou, Guanbin Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Sim-DETR: Unlock DETR for Temporal Sentence Grounding.

Jiajin Tang, Zhengxuan Wei, Yuchen Zhu, Cheng Shi, Guanbin Li, Liang Lin, Sibei Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering.

Kaixuan Jiang, Yang Liu, Weixing Chen, Jingzhou Luo, Ziliang Chen, Ling Pan, Guanbin Li, Liang Lin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

DreamFuse: Adaptive Image Fusion with Diffusion Transformer.

Junjia Huang, Pengxiang Yan, Jiyang Liu, Jie Wu, Zhao Wang, Yitong Wang, Liang Lin, Guanbin Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Can We Achieve Efficient Diffusion without Self-Attention? Distilling Self-Attention Into Convolutions.

ZiYi Dong, Chengxing Zhou, Weijian Deng, Pengxu Wei, Xiangyang Ji, Liang Lin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Anima²: Cross-Species Animal Animation through Image-to-Video Synthesis with Subject Alignment.

Yuanfeng Xu, Yuhao Chen, Zhongzhan Huang, Zijian He, Guangrun Wang, Liang Lin

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Thinking Before You Speak: A Proactive Test-time Scaling Approach.

Cong Liu, Wenchang Chai, Hejun Wu, Yan Pan, Pengxu Wei, Liang Lin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs.

Zhongzhan Huang, Guoming Ling, Yupei Lin, Yandong Chen, Shanshan Zhong, Hefeng Wu, Liang Lin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

DAGSM: Disentangled Avatar Generation with GS-enhanced Mesh.

Jingyu Zhuang, Di Kang, Linchao Bao, Liang Lin, Guanbin Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Towards Long-Horizon Vision-Language Navigation: Platform, Benchmark and Method.

Xinshuai Song, Weixing Chen, Yang Liu, Weikai Chen, Guanbin Li, Liang Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

DSPNet: Dual-vision Scene Perception for Robust 3D Question Answering.

Jingzhou Luo, Yang Liu, Weixing Chen, Zhen Li, Yaowei Wang, Guanbin Li, Liang Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

VTON 360: High-Fidelity Virtual Try-On from Any Viewing Direction.

Zijian He, Yuwei Ning, Yipeng Qin, Guangrun Wang, Sibei Yang, Liang Lin, Guanbin Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Cross-modal Causal Relation Alignment for Video Question Grounding.

Weixing Chen, Yang Liu, Binglin Chen, Jiandong Su, Yongsen Zheng, Liang Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Reproducible Vision-Language Models Meet Concepts Out of Pre-Training.

Ziliang Chen, Xin Huang, Xiaoxuan Fan, Keze Wang, Yuyu Zhou, Quanlong Guan, Liang Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender System.

Yongsen Zheng, Zongxuan Xie, Guohua Wang, Ziyao Liu, Liang Lin, Kwok-Yan Lam

Proceedings of the Findings of the Association for Computational Linguistics, 2025

HyperCRS: Hypergraph-Aware Multi-Grained Preference Learning to Burst Filter Bubbles in Conversational Recommendation System.

Yongsen Zheng, Mingjie Qian, Guohua Wang, Yang Liu, Ziliang Chen, Mingzhi Mao, Liang Lin, Kwok-Yan Lam

Proceedings of the Findings of the Association for Computational Linguistics, 2025

MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models.

Zhongzhan Huang, Guoming Ling, Shanshan Zhong, Hefeng Wu, Liang Lin

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Monitoring Primitive Interactions During the Training of DNNs.

Jie Ren, Xinhao Zheng, Jiyu Liu, Andrew Lizarraga, Ying Nian Wu, Liang Lin, Quanshi Zhang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks.

Wentao Wan, Zhuojie Yang, Yongcan Chen, Chenglin Luo, Ruilin Wang, Kehao Cai, Nan Kang, Liang Lin, Keze Wang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

CIPL: Counterfactual Interactive Policy Learning to Eliminate Popularity Bias for Online Recommendation.

Yongsen Zheng, Jinghui Qin, Pengxu Wei, Ziliang Chen, Liang Lin

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Exploration and Exploitation of Unlabeled Data for Open-Set Semi-supervised Learning.

Ganlong Zhao, Guanbin Li, Yipeng Qin, Jinjin Zhang, Zhenhua Chai, Xiaolin Wei, Liang Lin, Yizhou Yu

Int. J. Comput. Vis., December, 2024

Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels.

Tianshui Chen, Tao Pu, Lingbo Liu, Yukai Shi, Zhijing Yang, Liang Lin

Int. J. Comput. Vis., December, 2024

Routing User-Interest Markov Tree for Scalable Personalized Knowledge-Aware Recommendation.

Yongsen Zheng, Pengxu Wei, Ziliang Chen, Chengpei Tang, Liang Lin

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Template-Based Contrastive Distillation Pretraining for Math Word Problem Solving.

Jinghui Qin, Zhicheng Yang, Jiaqi Chen, Xiaodan Liang, Liang Lin

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Contrastive Transformer Learning With Proximity Data Generation for Text-Based Person Search.

Hefeng Wu, Weifeng Chen, Zhibin Liu, Tianshui Chen, Zhiguang Chen, Liang Lin

IEEE Trans. Circuits Syst. Video Technol., August, 2024

TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts.

Jingyu Zhuang, Di Kang, Yan-Pei Cao, Guanbin Li, Liang Lin, Ying Shan

ACM Trans. Graph., July, 2024

An advanced subway train localization system using a vision-based kilometer marker recognition-assisted multi-sensor fusion method.

Xiaoyu Xian, Dan Liu, Daxin Tian, Yin Tian, Wei Jiang, Yukai Shi, Liang Lin

Int. J. Gen. Syst., July, 2024

Accelerating Massively Distributed Deep Learning Through Efficient Pseudo-Synchronous Update Method.

Yingpeng Wen, Zhilin Qiu, Dongyu Zhang, Dan Huang, Nong Xiao, Liang Lin

Int. J. Parallel Program., June, 2024

DNA Family: Boosting Weight-Sharing NAS With Block-Wise Supervisions.

Guangrun Wang, Changlin Li, Liuchun Yuan, Jiefeng Peng, Xiaoyu Xian, Xiaodan Liang, Xiaojun Chang, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Prototypical Graph Contrastive Learning.

Shuai Lin, Chen Liu, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric P. Xing, Xiaodan Liang

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Hand Gesture Authentication by Discovering Fine-Grained Spatiotemporal Identity Characteristics.

Wenwei Song, Wenxiong Kang, Liang Lin

IEEE Trans. Circuits Syst. Video Technol., January, 2024

A Prior Guided Wavelet-Spatial Dual Attention Transformer Framework for Heavy Rain Image Restoration.

Ronghui Zhang, Jiongze Yu, Junzhou Chen, Guofa Li, Liang Lin, Danwei Wang

IEEE Trans. Multim., 2024

Dual-View Data Hallucination With Semantic Relation Guidance for Few-Shot Image Recognition.

Hefeng Wu, Guangzhi Ye, Ziyang Zhou, Ling Tian, Qing Wang, Liang Lin

IEEE Trans. Multim., 2024

Improving Network Interpretability via Explanation Consistency Evaluation.

Hefeng Wu, Hao Jiang, Keze Wang, Ziyi Tang, Xianghuan He, Liang Lin

IEEE Trans. Multim., 2024

Extensible Max-Min Collaborative Retention for Online Mini-Batch Learning Hash Retrieval.

Junpeng Tan, Xiaojun Yang, Zhijing Yang, Ruihan Chen, Yongyi Lu, Liang Lin

IEEE Trans. Multim., 2024

NiteDR: Nighttime Image De-Raining With Cross-View Sensor Cooperative Learning for Dynamic Driving Scenes.

Cidan Shi, Lihuang Fang, Han Wu, Xiaoyu Xian, Yukai Shi, Liang Lin

IEEE Trans. Multim., 2024

Category-Adaptive Label Discovery and Noise Rejection for Multi-Label Recognition With Partial Positive Labels.

Tao Pu, Qianru Lao, Hefeng Wu, Tianshui Chen, Ling Tian, Jie Liu, Liang Lin

IEEE Trans. Multim., 2024

Adaptive Global-Local Representation Learning and Selection for Cross-Domain Facial Expression Recognition.

Yuefang Gao, Yuhao Xie, Zeke Zexi Hu, Tianshui Chen, Liang Lin

IEEE Trans. Multim., 2024

Multi-Person 3D Pose Estimation With Occlusion Reasoning.

Xipeng Chen, Junzheng Zhang, Keze Wang, Pengxu Wei, Liang Lin

IEEE Trans. Multim., 2024

DPHANet: Discriminative Parallel and Hierarchical Attention Network for Natural Language Video Localization.

Ruihan Chen, Junpeng Tan, Zhijing Yang, Xiaojun Yang, Qingyun Dai, Yongqiang Cheng, Liang Lin

IEEE Trans. Multim., 2024

Spatial-Temporal Knowledge-Embedded Transformer for Video Scene Graph Generation.

Tao Pu, Tianshui Chen, Hefeng Wu, Yongyi Lu, Liang Lin

IEEE Trans. Image Process., 2024

Uncertainty-Aware Active Domain Adaptive Salient Object Detection.

Guanbin Li, Zhuohua Chen, Mingzhi Mao, Liang Lin, Chaowei Fang

IEEE Trans. Image Process., 2024

Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration.

Tianshui Chen, Weihang Wang, Tao Pu, Jinghui Qin, Zhijing Yang, Jie Liu, Liang Lin

IEEE Trans. Image Process., 2024

IDF-CR: Iterative Diffusion Process for Divide-and-Conquer Cloud Removal in Remote-Sensing Images.

Meilin Wang, Yexing Song, Pengxu Wei, Xiaoyu Xian, Yukai Shi, Liang Lin

IEEE Trans. Geosci. Remote. Sens., 2024

Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion Prior.

Yukai Shi, Yupei Lin, Pengxu Wei, Xiaoyu Xian, Tianshui Chen, Liang Lin

IEEE Trans. Geosci. Remote. Sens., 2024

SIRST-5K: Exploring Massive Negatives Synthesis With Self-Supervised Learning for Robust Infrared Small Target Detection.

Yahao Lu, Yupei Lin, Han Wu, Xiaoyu Xian, Yukai Shi, Liang Lin

IEEE Trans. Geosci. Remote. Sens., 2024

An Introspective Data Augmentation Method for Training Math Word Problem Solvers.

Jinghui Qin, Zhongzhan Huang, Ying Zeng, Quanshi Zhang, Liang Lin

IEEE ACM Trans. Audio Speech Lang. Process., 2024

MirrorDiffusion: Stabilizing Diffusion Process in Zero-Shot Image Translation by Prompts Redescription and Beyond.

Yupei Lin, Xiaoyu Xian, Yukai Shi, Liang Lin

IEEE Signal Process. Lett., 2024

Dual-perspective semantic-aware representation blending for multi-label image recognition with partial labels.

Tao Pu, Tianshui Chen, Hefeng Wu, Yukai Shi, Zhijing Yang, Liang Lin

Expert Syst. Appl., 2024

Category-Adaptive Cross-Modal Semantic Refinement and Transfer for Open-Vocabulary Multi-Label Recognition.

Haijing Liu, Tao Pu, Hefeng Wu, Keze Wang, Liang Lin

CoRR, 2024

InfiniteWorld: A Unified Scalable Simulation Framework for General Visual-Language Robot Interaction.

Pengzhen Ren, Min Li, Zhen Luo, Xinshuai Song, Ziwei Chen, Weijia Liufu, Yixuan Yang, Hao Zheng, Rongtao Xu, Zitong Huang, Tongsheng Ding, Luyang Xie, Kaidong Zhang, Changfei Fu, Yang Liu, Liang Lin, Feng Zheng, Xiaodan Liang

CoRR, 2024

Towards Sample-Efficiency and Generalization of Transfer and Inverse Reinforcement Learning: A Comprehensive Literature Review.

Hossein Hassani, Roozbeh Razavi-Far, Mehrdad Saif, Liang Lin

CoRR, 2024

High-fidelity and Lip-synced Talking Face Synthesis via Landmark-based Diffusion Model.

Weizhi Zhong, Junfan Lin, Peixin Chen, Liang Lin, Guanbin Li

CoRR, 2024

Style-Preserving Lip Sync via Audio-Aware Style Reference.

Weizhi Zhong, Jichang Li, Yinqi Cai, Liang Lin, Guanbin Li

CoRR, 2024

Fuse, Reason and Verify: Geometry Problem Solving with Parsed Clauses from Diagram.

Ming-Liang Zhang, Zhong-Zhi Li, Fei Yin, Liang Lin, Cheng-Lin Liu

CoRR, 2024

Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI.

Yang Liu, Weixing Chen, Yongjie Bai, Guanbin Li, Wen Gao, Liang Lin

CoRR, 2024

Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification.

Gexin Huang, Chenfei Wu, Mingjie Li, Xiaojun Chang, Ling Chen, Ying Sun, Shen Zhao, Xiaodan Liang, Liang Lin

CoRR, 2024

Quantifying In-Context Reasoning Effects and Memorization Effects in LLMs.

Siyu Lou, Yuntian Chen, Xiaodan Liang, Liang Lin, Quanshi Zhang

CoRR, 2024

Two-Phase Dynamics of Interactions Explains the Starting Point of a DNN Learning Over-Fitted Features.

Junpeng Zhang, Qing Li, Liang Lin, Quanshi Zhang

CoRR, 2024

Fine-grained Spatial-temporal MLP Architecture for Metro Origin-Destination Prediction.

Yang Liu, Binglin Chen, Yongsen Zheng, Guanbin Li, Liang Lin

CoRR, 2024

Towards Better Adversarial Purification via Adversarial Denoising Diffusion Training.

Yiming Liu, Kezhao Liu, Yao Xiao, Ziyi Dong, Xiaogang Xu, Pengxu Wei, Liang Lin

CoRR, 2024

AnimateZoo: Zero-shot Video Generation of Cross-Species Animation via Subject Alignment.

Yuanfeng Xu, Yuhao Chen, Zhongzhan Huang, Zijian He, Guangrun Wang, Philip Torr, Liang Lin

CoRR, 2024

AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis.

Tao Tang, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang

CoRR, 2024

Multimodal Embodied Interactive Agent for Cafe Scene.

Yang Liu, Xinshuai Song, Kaixuan Jiang, Weixing Chen, Jingzhou Luo, Guanbin Li, Liang Lin

CoRR, 2024

Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima.

Shanshan Zhong, Zhongzhan Huang, Daifeng Li, Wushao Wen, Jinghui Qin, Liang Lin

Proceedings of the ACM on Web Conference 2024, 2024

Exploring Out-of-Distribution Scene Text Recognition for Driving Scenes with Hybrid Test-Time Adaptation.

Xiaoyu Xian, Jinghui Qin, Yukai Shi, Daxin Tian, Liang Lin

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Diversity Matters: User-Centric Multi-Interest Learning for Conversational Movie Recommendation.

Yongsen Zheng, Guohua Wang, Yang Liu, Liang Lin

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Self-Supervised Emotion Representation Disentanglement for Speech-Preserving Facial Expression Manipulation.

Zhihua Xu, Tianshui Chen, Zhijing Yang, Chunmei Qing, Yukai Shi, Liang Lin

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Decoder-Only LLMs are Better Controllers for Diffusion Models.

Ziyi Dong, Yao Xiao, Pengxu Wei, Liang Lin

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Semantic Correlation Adaptation for Union-Set Multi-label Image Recognition.

Xinyu Wang, Tao Pu, Dongyu Zhang, Liang Lin

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Kepler codebook.

Junrong Lian, Ziyue Dong, Pengxu Wei, Wei Ke, Chang Liu, Qixiang Ye, Xiangyang Ji, Liang Lin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios.

Zhongzhan Huang, Mingfu Liang, Shanshan Zhong, Liang Lin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Credible Teacher for Semi-Supervised Object Detection in Open Scene.

Jingyu Zhuang, Kuo Wang, Liang Lin, Guanbin Li

Proceedings of the IEEE International Conference on Acoustics, 2024

Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation.

Yongsen Zheng, Ruilin Xu, Guohua Wang, Liang Lin, Kwok-Yan Lam

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object Detection.

Kuo Wang, Lechao Cheng, Weikai Chen, Pingping Zhang, Liang Lin, Fan Zhou, Guanbin Li

Proceedings of the Computer Vision - ECCV 2024, 2024

Stripe Observation Guided Inference Cost-Free Attention Mechanism.

Zhongzhan Huang, Shanshan Zhong, Wushao Wen, Jinghui Qin, Liang Lin

Proceedings of the Computer Vision - ECCV 2024, 2024

WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models.

Zijian He, Peixin Chen, Guangrun Wang, Guanbin Li, Philip H. S. Torr, Liang Lin

Proceedings of the Computer Vision - ECCV 2024, 2024

Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation.

Shanshan Zhong, Zhongzhan Huang, Shanghua Gao, Wushao Wen, Liang Lin, Marinka Zitnik, Pan Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis.

Tang Tao, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection.

Jiaming Li, Jiacheng Zhang, Jichang Li, Ge Li, Si Liu, Liang Lin, Guanbin Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learning Adaptive Spatial Coherent Correlations for Speech-Preserving Facial Expression Manipulation.

Tianshui Chen, Jianman Lin, Zhijing Yang, Chunmei Qing, Liang Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation.

Yongsen Zheng, Ruilin Xu, Ziliang Chen, Guohua Wang, Mingjie Qian, Jinghui Qin, Liang Lin

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System.

Yongsen Zheng, Ziliang Chen, Jinghui Qin, Liang Lin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach.

Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan, Liang Lin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE.

Junyi Chen, Longteng Guo, Jia Sun, Shuai Shao, Zehuan Yuan, Liang Lin, Dongyu Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

IRA-FSOD: Instant-Response and Accurate Few-Shot Object Detector.

Junying Huang, Junhao Cao, Liang Lin, Dongyu Zhang

IEEE Trans. Circuits Syst. Video Technol., November, 2023

Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis.

Junfan Lin, Keze Wang, Ziliang Chen, Xiaodan Liang, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering.

Yang Liu, Guanbin Li, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning.

Bingqian Lin, Yanxin Long, Yi Zhu, Fengda Zhu, Xiaodan Liang, Qixiang Ye, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Discourse-Aware Graph Networks for Textual Logical Reasoning.

Yinya Huang, Lemao Liu, Kun Xu, Meng Fang, Liang Lin, Xiaodan Liang

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction.

Lingbo Liu, Zewei Yang, Guanbin Li, Kuo Wang, Tianshui Chen, Liang Lin

IEEE Trans. Neural Networks Learn. Syst., July, 2023

Urban regional function guided traffic flow prediction.

Kuo Wang, Lingbo Liu, Yang Liu, Guanbin Li, Fan Zhou, Liang Lin

Inf. Sci., July, 2023

Reward-Adaptive Reinforcement Learning: Dynamic Policy Gradient Optimization for Bipedal Locomotion.

Changxin Huang, Guangrun Wang, Zhibo Zhou, Ronghui Zhang, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation.

Lingbo Liu, Yuying Zhu, Guanbin Li, Ziyi Wu, Lei Bai, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Semantic representation and dependency learning for multi-label image recognition.

Tao Pu, Mingzhan Sun, Hefeng Wu, Tianshui Chen, Ling Tian, Liang Lin

Neurocomputing, March, 2023

OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup.

Zhijing Yang, Junyang Chen, Yukai Shi, Hao Li, Tianshui Chen, Liang Lin

IEEE Trans. Multim., 2023

Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-Identification.

Ziyi Tang, Ruimao Zhang, Zhanglin Peng, Jinrui Chen, Liang Lin

IEEE Trans. Multim., 2023

Fine-Grained Face Editing via Personalized Spatial-Aware Affine Modulation.

Si Liu, Renda Bao, Defa Zhu, Shaofei Huang, Qiong Yan, Liang Lin, Chao Dong

IEEE Trans. Multim., 2023

Real-World Image Super-Resolution by Exclusionary Dual-Learning.

Hao Li, Jinghui Qin, Zhijing Yang, Pengxu Wei, Jinshan Pan, Liang Lin, Yukai Shi

IEEE Trans. Multim., 2023

Graph-Convolved Factorization Machines for Personalized Recommendation.

Yongsen Zheng, Pengxu Wei, Ziliang Chen, Yang Cao, Liang Lin

IEEE Trans. Knowl. Data Eng., 2023

Taylor Neural Network for Real-World Image Super-Resolution.

Pengxu Wei, Ziwei Xie, Guanbin Li, Liang Lin

IEEE Trans. Image Process., 2023

Hybrid-Order Representation Learning for Electricity Theft Detection.

Yuying Zhu, Yang Zhang, Lingbo Liu, Yang Liu, Guanbin Li, Mingzhi Mao, Liang Lin

IEEE Trans. Ind. Informatics, 2023

ADASR: An Adversarial Auto-Augmentation Framework for Hyperspectral and Multispectral Data Fusion.

Jinghui Qin, Lihuang Fang, Ruitao Lu, Liang Lin, Yukai Shi

IEEE Geosci. Remote. Sens. Lett., 2023

VisualProg Distiller: Learning to Fine-tune Non-differentiable Visual Programming Frameworks.

Wentao Wan, Zeqing Wang, Nan Kang, Keze Wang, Zhiyu Shen, Liang Lin

CoRR, 2023

Towards Real-World Burst Image Super-Resolution: Benchmark and Method.

Pengxu Wei, Yujing Sun, Xingbei Guo, Chang Liu, Jie Chen, Xiangyang Ji, Liang Lin

CoRR, 2023

Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMs.

Ziyi Tang, Ruilin Wang, Weixing Chen, Keze Wang, Yang Liu, Tianshui Chen, Liang Lin

CoRR, 2023

CausalVLR: A Toolbox and Benchmark for Visual-Linguistic Causal Reasoning.

Yang Liu, Weixing Chen, Guanbin Li, Liang Lin

CoRR, 2023

Visual Causal Scene Refinement for Video Question Answering.

Yushen Wei, Yang Liu, Hong Yan, Guanbin Li, Liang Lin

CoRR, 2023

Causality-aware Visual Scene Discovery for Cross-Modal Question Reasoning.

Yang Liu, Guanbin Li, Liang Lin

CoRR, 2023

ASR: Attention-alike Structural Re-parameterization.

ShanShan Zhong, Zhongzhan Huang, Wushao Wen, Jinghui Qin, Liang Lin

CoRR, 2023

Open-World Pose Transfer via Sequential Test-Time Adaption.

Junyang Chen, Xiaoyu Xian, Zhijing Yang, Tianshui Chen, Yongyi Lu, Yukai Shi, Jinshan Pan, Liang Lin

CoRR, 2023

Urban Regional Function Guided Traffic Flow Prediction.

Kuo Wang, Lingbo Liu, Yang Liu, Guanbin Li, Fan Zhou, Liang Lin

CoRR, 2023

Visual-Linguistic Causal Intervention for Radiology Report Generation.

Weixing Chen, Yang Liu, Ce Wang, Guanbin Li, Jiarui Zhu, Liang Lin

CoRR, 2023

DreamEditor: Text-Driven 3D Scene Editing with Neural Fields.

Jingyu Zhuang, Chen Wang, Liang Lin, Lingjie Liu, Guanbin Li

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

FIRE: Fine Implicit Reconstruction Enhancement with Detailed Body Part Labels and Geometric Features.

Junzheng Zhang, Xipeng Chen, Keze Wang, Pengxu Wei, Liang Lin

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

RecFormer: Recurrent Multi-modal Transformer with History-Aware Contrastive Learning for Visual Dialog.

Liucun Lu, Jinghui Qin, Zequn Jie, Lin Ma, Liang Lin, Xiaodan Liang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection.

Zhongzhan Huang, Pan Zhou, Shuicheng Yan, Liang Lin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models.

Shanshan Zhong, Zhongzhan Huang, Wushao Wen, Jinghui Qin, Liang Lin

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Visual Causal Scene Refinement for Video Question Answering.

Yushen Wei, Yang Liu, Hong Yan, Guanbin Li, Liang Lin

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Long-term Wind Power Forecasting with Hierarchical Spatial-Temporal Transformer.

Yang Zhang, Lingbo Liu, Xinyu Xiong, Guanbin Li, Guoli Wang, Liang Lin

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback.

Junfan Lin, Yuying Zhu, Lingbo Liu, Yang Liu, Guanbin Li, Liang Lin

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Adversarially Robust Source-free Domain Adaptation with Relaxed Adversarial Training.

Yao Xiao, Pengxu Wei, Cong Liu, Liang Lin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment.

Xujie Zhang, Binbin Yang, Michael C. Kampffmeyer, Wenqing Zhang, Shiyue Zhang, Guansong Lu, Liang Lin, Hang Xu, Xiaodan Liang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels.

Ziyi Zhang, Weikai Chen, Chaowei Fang, Zhen Li, Lechao Chen, Liang Lin, Guanbin Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts.

Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training.

Hong Yan, Yang Liu, Yushen Wei, Zhen Li, Guanbin Li, Liang Lin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Real-World Burst Image Super-Resolution: Benchmark and Method.

Pengxu Wei, Yujing Sun, Xingbei Guo, Chang Liu, Guanbin Li, Jie Chen, Xiangyang Ji, Liang Lin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Enhanced Soft Label for Semi-Supervised Semantic Segmentation.

Jie Ma, Chuan Wang, Yang Liu, Liang Lin, Guanbin Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos.

Haoyuan Li, Haoye Dong, Hanchao Jia, Dong Huang, Michael C. Kampffmeyer, Liang Lin, Xiaodan Liang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Understanding Self-attention Mechanism via Dynamical System Perspective.

Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, Liang Lin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Retrospect to Multi-prompt Learning across Vision and Language.

Ziliang Chen, Xin Huang, Quanlong Guan, Liang Lin, Weiqi Luo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

HutCRS: Hierarchical User-Interest Tracking for Conversational Recommender System.

Mingjie Qian, Yongsen Zheng, Jinghui Qin, Liang Lin

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Identity-Preserving Talking Face Generation with Landmark and Appearance Priors.

Weizhi Zhong, Chaowei Fang, Yinqi Cai, Pengxu Wei, Gangming Zhao, Liang Lin, Guanbin Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Masked Images Are Counterfactual Samples for Robust Fine-Tuning.

Yao Xiao, Ziyi Tang, Pengxu Wei, Cong Liu, Liang Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Being Comes from Not-Being: Open-Vocabulary Text-to-Motion Generation with Wordless Training.

Junfan Lin, Jianlong Chang, Lingbo Liu, Guanbin Li, Liang Lin, Qi Tian, Chang Wen Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Scene Graph to Image Synthesis via Knowledge Consensus.

Yang Wu, Pengxu Wei, Liang Lin

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

De-biased Teacher: Rethinking IoU Matching for Semi-supervised Object Detection.

Kuo Wang, Jingyu Zhuang, Guanbin Li, Chaowei Fang, Lechao Cheng, Liang Lin, Fan Zhou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Adapting Object Size Variance and Class Imbalance for Semi-supervised Object Detection.

Yuxiang Nie, Chaowei Fang, Lechao Cheng, Liang Lin, Guanbin Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation.

Bingqian Lin, Yi Zhu, Xiaodan Liang, Liang Lin, Jianzhuang Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Configurable Graph Reasoning for Visual Relationship Detection.

Yi Zhu, Xiwen Liang, Bingqian Lin, Qixiang Ye, Jianbin Jiao, Liang Lin, Xiaodan Liang

IEEE Trans. Neural Networks Learn. Syst., 2022

Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition.

Guangrun Wang, Liang Lin, Rongcong Chen, Guangcong Wang, Jiqi Zhang

IEEE Trans. Neural Networks Learn. Syst., 2022

Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding.

Qingxing Cao, Bailin Li, Xiaodan Liang, Keze Wang, Liang Lin

IEEE Trans. Neural Networks Learn. Syst., 2022

Structured Attention Network for Referring Image Segmentation.

Liang Lin, Pengxiang Yan, Xiaoqian Xu, Sibei Yang, Kun Zeng, Guanbin Li

IEEE Trans. Multim., 2022

Physical-Virtual Collaboration Modeling for Intra- and Inter-Station Metro Ridership Prediction.

Lingbo Liu, Jingwen Chen, Hefeng Wu, Jiajie Zhen, Guanbin Li, Liang Lin

IEEE Trans. Intell. Transp. Syst., 2022

TCGL: Temporal Contrastive Graph for Self-Supervised Video Representation Learning.

Yang Liu, Keze Wang, Lingbo Liu, Haoyuan Lan, Liang Lin

IEEE Trans. Image Process., 2022

Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition.

Fuyu Wang, Xiaodan Liang, Lin Xu, Liang Lin

IEEE Trans. Cybern., 2022

A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning.

Hongjun Wang, Guanbin Li, Xiaobai Liu, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation.

Bingqian Lin, Yi Zhu, Yanxin Long, Xiaodan Liang, Qixiang Ye, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer.

Liang Lin, Yiming Gao, Ke Gong, Meng Wang, Xiaodan Liang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning Spatially Variant Linear Representation Models for Joint Filtering.

Jiangxin Dong, Jinshan Pan, Jimmy S. Ren, Liang Lin, Jinhui Tang, Ming-Hsuan Yang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph Learning.

Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Lingbo Liu, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition.

Tianshui Chen, Liang Lin, Riquan Chen, Xiaolu Hui, Hefeng Wu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Multi-label image recognition with attentive transformer-localizer module.

Lin Nie, Tianshui Chen, Zhouxia Wang, Wenxiong Kang, Liang Lin

Multim. Tools Appl., 2022

Fast Spectral Embedded Clustering Based on Structured Graph Learning for Large-Scale Hyperspectral Image.

Xiaojun Yang, Guoquan Lin, Yijun Liu, Feiping Nie, Liang Lin

IEEE Geosci. Remote. Sens. Lett., 2022

Structured graph optimization for joint spectral embedding and clustering.

Xiaojun Yang, Siyuan Li, Ke Liang, Feiping Nie, Liang Lin

Neurocomputing, 2022

Causal Reasoning Meets Visual Representation Learning: A Prospective Study.

Yang Liu, Yushen Wei, Hong Yan, Guanbin Li, Liang Lin

Int. J. Autom. Comput., 2022

DreamArtist: Towards Controllable One-Shot Text-to-Image Generation via Contrastive Prompt-Tuning.

Ziyi Dong, Pengxu Wei, Liang Lin

CoRR, 2022

Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels.

Tao Pu, Qianru Lao, Hefeng Wu, Tianshui Chen, Liang Lin

CoRR, 2022

OhMG: Zero-shot Open-vocabulary Human Motion Generation.

Junfan Lin, Jianlong Chang, Lingbo Liu, Guanbin Li, Liang Lin, Qi Tian, Chang Wen Chen

CoRR, 2022

Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering.

Yang Liu, Guanbin Li, Liang Lin

CoRR, 2022

Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels.

Tao Pu, Tianshui Chen, Hefeng Wu, Yongyi Lu, Liang Lin

CoRR, 2022

Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution.

Xiaoqian Xu, Pengxu Wei, Weikai Chen, Mingzhi Mao, Liang Lin, Guanbin Li

CoRR, 2022

Audio-Visual Contrastive Learning for Self-supervised Action Recognition.

Haoyuan Lan, Yang Liu, Liang Lin

CoRR, 2022

Causal Reasoning with Spatial-temporal Representation Learning: A Prospective Study.

Yang Liu, Yushen Wei, Hong Yan, Guanbin Li, Liang Lin

CoRR, 2022

Semantic Representation and Dependency Learning for Multi-Label Image Recognition.

Tao Pu, Lixian Yuan, Hefeng Wu, Tianshui Chen, Ling Tian, Liang Lin

CoRR, 2022

Open Set Domain Adaptation By Novel Class Discovery.

Jingyu Zhuang, Ziliang Chen, Pengxu Wei, Guanbin Li, Liang Lin

CoRR, 2022

Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning.

Ziyi Zhang, Weikai Chen, Hui Cheng, Zhen Li, Siyuan Li, Liang Lin, Guanbin Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Structure-Preserving 3D Garment Modeling with Neural Sewing Machines.

Xipeng Chen, Guangrun Wang, Dizhong Zhu, Xiaodan Liang, Philip H. S. Torr, Liang Lin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Double-Check Soft Teacher for Semi-Supervised Object Detection.

Kuo Wang, Yuxiang Nie, Chaowei Fang, Chengzhi Han, Xuewen Wu, Xiaohui Wang, Liang Lin, Fan Zhou, Guanbin Li

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Discovering Implicit Classes Achieves Open Set Domain Adaptation.

Jingyu Zhuang, Ziliang Chen, Pengxu Wei, Guanbin Li, Liang Lin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Cross-Domain Action Recognition via Prototypical Graph Alignment.

Binbin Yang, Junhao Zhong, Pengxu Wei, Dongyu Zhang, Liang Lin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Multimodal Crowd Counting with Mutual Attention Transformers.

Zhengtao Wu, Lingbo Liu, Yang Zhang, Mingzhi Mao, Liang Lin, Guanbin Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Enhancing Prototypical Few-Shot Learning By Leveraging The Local-Level Strategy.

Junying Huang, Fan Chen, Keze Wang, Liang Lin, Dongyu Zhang

Proceedings of the IEEE International Conference on Acoustics, 2022

LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning.

Zhicheng Yang, Jinghui Qin, Jiaqi Chen, Liang Lin, Xiaodan Liang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression.

Jiaqi Chen, Tong Li, Jinghui Qin, Pan Lu, Liang Lin, Chongyu Chen, Xiaodan Liang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Adversarially-Aware Robust Object Detector.

Ziyi Dong, Pengxu Wei, Liang Lin

Proceedings of the Computer Vision - ECCV 2022, 2022

Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution.

Xiaoqian Xu, Pengxu Wei, Weikai Chen, Yang Liu, Mingzhi Mao, Liang Lin, Guanbin Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Semantic-Aware Auto-Encoders for Self-supervised Representation Learning.

Guangrun Wang, Yansong Tang, Liang Lin, Philip H. S. Torr

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Content-Aware Hierarchical Representation Selection for Cross-View Geo-Localization.

Zeng Lu, Tao Pu, Tianshui Chen, Liang Lin

Proceedings of the Computer Vision - ACCV 2022, 2022

Unsupervised Domain Adaptive Salient Object Detection through Uncertainty-Aware Pseudo-Label Learning.

Pengxiang Yan, Ziyi Wu, Mengmeng Liu, Kun Zeng, Liang Lin, Guanbin Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Structured Semantic Transfer for Multi-Label Recognition with Partial Labels.

Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Liang Lin

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels.

Tao Pu, Tianshui Chen, Hefeng Wu, Liang Lin

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Graph Reasoning Networks and Applications.

Qingxing Cao, Wentao Wan, Xiaodan Liang, Liang Lin

Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021

Weakly Supervised Person Re-ID: Differentiable Graphical Learning and a New Benchmark.

Guangrun Wang, Guangcong Wang, Xujie Zhang, Jianhuang Lai, Zhengtao Yu, Liang Lin

IEEE Trans. Neural Networks Learn. Syst., 2021

Deductive Reinforcement Learning for Visual Autonomous Urban Driving Navigation.

Changxin Huang, Ronghui Zhang, Meizi Ouyang, Pengxu Wei, Junfan Lin, Jiang Su, Liang Lin

IEEE Trans. Neural Networks Learn. Syst., 2021

Fine-Grained Image Captioning With Global-Local Discriminative Objective.

Jie Wu, Tianshui Chen, Hefeng Wu, Zhi Yang, Guangchun Luo, Liang Lin

IEEE Trans. Multim., 2021

Unsupervised Multi-View Clustering by Squeezing Hybrid Knowledge From Cross View and Each View.

Junpeng Tan, Yukai Shi, Zhijing Yang, Caizhen Wen, Liang Lin

IEEE Trans. Multim., 2021

Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction.

Lingbo Liu, Jiajie Zhen, Guanbin Li, Geng Zhan, Zhaocheng He, Bowen Du, Liang Lin

IEEE Trans. Intell. Transp. Syst., 2021

GTAE: Graph Transformer-Based Auto-Encoders for Linguistic-Constrained Text Style Transfer.

Yukai Shi, Sen Zhang, Chenxing Zhou, Xiaodan Liang, Xiaojun Yang, Liang Lin

ACM Trans. Intell. Syst. Technol., 2021

Image Comes Dancing With Collaborative Parsing-Flow Video Synthesis.

Bowen Wu, Zhenyu Xie, Xiaodan Liang, Yubei Xiao, Haoye Dong, Liang Lin

IEEE Trans. Image Process., 2021

Semantics-Aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition.

Yang Liu, Keze Wang, Guanbin Li, Liang Lin

IEEE Trans. Image Process., 2021

Hierarchical Reasoning Network for Human-Object Interaction Detection.

Yiming Gao, Zhanghui Kuang, Guanbin Li, Wayne Zhang, Liang Lin

IEEE Trans. Image Process., 2021

Depthwise Nonlocal Module for Fast Salient Object Detection Using a Single Thread.

Haofeng Li, Guanbin Li, Binbin Yang, Guanqi Chen, Liang Lin, Yizhou Yu

IEEE Trans. Cybern., 2021

Interpretable Visual Question Answering by Reasoning on Dependency Trees.

Qingxing Cao, Xiaodan Liang, Bailin Li, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Deep CockTail Networks.

Ziliang Chen, Pengxu Wei, Jingyu Zhuang, Guanbin Li, Liang Lin

Int. J. Comput. Vis., 2021

Instance-level salient object segmentation.

Guanbin Li, Pengxiang Yan, Yuan Xie, Guisheng Wang, Liang Lin, Yizhou Yu

Comput. Vis. Image Underst., 2021

Plug-and-Play Few-shot Object Detection with Meta Strategy and Explicit Localization Inference.

Junying Huang, Fan Chen, Liang Lin, Dongyu Zhang

CoRR, 2021

Road Network Guided Fine-Grained Urban Traffic Flow Inference.

Lingbo Liu, Mengmeng Liu, Guanbin Li, Ziyi Wu, Liang Lin

CoRR, 2021

Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation.

Lingbo Liu, Yuying Zhu, Guanbin Li, Ziyi Wu, Lei Bai, Liang Lin

CoRR, 2021

Prototypical Graph Contrastive Learning.

Shuai Lin, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric P. Xing, Xiaodan Liang

CoRR, 2021

Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic Segmentation.

Chaohao Xie, Dongwei Ren, Lei Wang, Qinghua Hu, Liang Lin, Wangmeng Zuo

CoRR, 2021

Temporal Contrastive Graph for Self-supervised Video Representation Learning.

Yang Liu, Keze Wang, Haoyuan Lan, Liang Lin

CoRR, 2021

Rethinking the Pruning Criteria for Convolutional Neural Network.

Zhongzhan Huang, Wenqi Shao, Xinjiang Wang, Liang Lin, Ping Luo

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Explore before Moving: A Feasible Path Estimation and Memory Recalling Framework for Embodied Navigation.

Yang Wu, Shirui Feng, Guanbin Li, Liang Lin

Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Robust Real-World Image Super-Resolution against Adversarial Attacks.

Jiutao Yue, Haofeng Li, Pengxu Wei, Guanbin Li, Liang Lin

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video.

Jie Wu, Wei Zhang, Guanbin Li, Wenhao Wu, Xiao Tan, Yingying Li, Errui Ding, Liang Lin

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition.

Tao Pu, Tianshui Chen, Yuan Xie, Hefeng Wu, Liang Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp.

Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Unifying Dynamic Optimizer Search and Network Architecture Search.

Binbin Yang, Xiaodan Liang, Junhao Zhong, Jiefeng Peng, Guangrun Wang, Liang Lin

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Hierarchical Transformer: Unsupervised Representation Learning for Skeleton-Based Human Action Recognition.

Yi-Bin Cheng, Xipeng Chen, Junhong Chen, Pengxu Wei, Dongyu Zhang, Liang Lin

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Solving Inefficiency of Self-supervised Representation Learning.

Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift.

Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning.

Junkai Huang, Chaowei Fang, Weikai Chen, Zhenhua Chai, Xiaolin Wei, Pengxu Wei, Liang Lin, Guanbin Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Linguistically Routing Capsule Network for Out-of-distribution Visual Question Answering.

Qingxing Cao, Wentao Wan, Keze Wang, Xiaodan Liang, Liang Lin

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition.

Guolin Zheng, Yubei Xiao, Ke Gong, Pan Zhou, Xiaodan Liang, Liang Lin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting.

Lingbo Liu, Jiaqi Chen, Hefeng Wu, Guanbin Li, Chenglong Li, Liang Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks.

Jinghui Qin, Xiaodan Liang, Yining Hong, Jianheng Tang, Liang Lin

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning.

Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, Liang Lin

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition.

Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation.

Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Deductive Learning for Weakly-Supervised 3D Human Pose Estimation via Uncalibrated Cameras.

Xipeng Chen, Pengxu Wei, Liang Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning Semisupervised Multilabel Fully Convolutional Network for Hierarchical Object Parsing.

Xiaobai Liu, Qian Xu, Grayson Adkins, Eric Medwedeff, Liang Lin, Shuicheng Yan

IEEE Trans. Neural Networks Learn. Syst., 2020

Online Alternate Generator Against Adversarial Attacks.

Haofeng Li, Yirui Zeng, Guanbin Li, Liang Lin, Yizhou Yu

IEEE Trans. Image Process., 2020

Unifying Temporal Context and Multi-Feature With Update-Pacing Framework for Visual Tracking.

Yuefang Gao, Zexi Hu, Henry Wing Fung Yeung, Yuk Ying Chung, Xuhong Tian, Liang Lin

IEEE Trans. Circuits Syst. Video Technol., 2020

DDet: Dual-Path Dynamic Enhancement Network for Real-World Image Super-Resolution.

Yukai Shi, Haoyu Zhong, Zhijing Yang, Xiaojun Yang, Liang Lin

IEEE Signal Process. Lett., 2020

3D Human Pose Machines with Self-Supervised Learning.

Keze Wang, Liang Lin, Chenhan Jiang, Chen Qian, Pengxu Wei

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning.

Yukai Shi, Guanbin Li, Qingxing Cao, Keze Wang, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Crowd counting via scale-communicative aggregation networks.

Lixian Yuan, Zhilin Qiu, Lingbo Liu, Hefeng Wu, Tianshui Chen, Pei Chen, Liang Lin

Neurocomputing, 2020

Lightweight adversarial network for salient object detection.

Lili Huang, Guanbin Li, Ya Li, Liang Lin

Neurocomputing, 2020

REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement.

Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang, Liang Lin

CoRR, 2020

Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition.

Yang Liu, Guanbin Li, Liang Lin

CoRR, 2020

Look into Facial Expression Domain Adaptation: Adversarial Graph Learning and A Fair Evaluation Benchmark.

Tianshui Chen, Tao Pu, Yuan Xie, Hefeng Wu, Lingbo Liu, Liang Lin

CoRR, 2020

EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning.

Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang, Liang Lin

CoRR, 2020

Linguistically Driven Graph Capsule Network for Visual Question Reasoning.

Qingxing Cao, Xiaodan Liang, Keze Wang, Liang Lin

CoRR, 2020

Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis.

Junfan Lin, Ziliang Chen, Xiaodan Liang, Keze Wang, Liang Lin

CoRR, 2020

Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread.

Haofeng Li, Guanbin Li, Binbin Yang, Guanqi Chen, Liang Lin, Yizhou Yu

CoRR, 2020

Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction.

Jingwen Chen, Lingbo Liu, Hefeng Wu, Jiajie Zhen, Guanbin Li, Liang Lin

CoRR, 2020

Motion-transformer: self-supervised pre-training for skeleton-based action recognition.

Yi-Bin Cheng, Xipeng Chen, Dongyu Zhang, Liang Lin

Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

Efficient Crowd Counting via Structured Knowledge Transfer.

Lingbo Liu, Jiaqi Chen, Hefeng Wu, Tianshui Chen, Guanbin Li, Liang Lin

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Reinforcement Learning for Weakly Supervised Temporal Grounding of Natural Language in Untrimmed Videos.

Jie Wu, Guanbin Li, Xiaoguang Han, Liang Lin

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Active Object Search.

Jie Wu, Tianshui Chen, Lishan Huang, Hefeng Wu, Guanbin Li, Ling Tian, Liang Lin

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition.

Yuan Xie, Tianshui Chen, Tao Pu, Hefeng Wu, Liang Lin

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Grammatically Recognizing Images with Tree Convolution.

Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems.

Jinghui Qin, Lihui Lin, Xiaodan Liang, Rumin Zhang, Liang Lin

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems.

Lishan Huang, Zheng Ye, Jinghui Qin, Liang Lin, Xiaodan Liang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Collaborative Training Between Region Proposal Localization and Classification for Domain Adaptive Object Detection.

Ganlong Zhao, Guanbin Li, Ruijia Xu, Liang Lin

Proceedings of the Computer Vision - ECCV 2020, 2020

Component Divide-and-Conquer for Real-World Image Super-Resolution.

Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, Liang Lin

Proceedings of the Computer Vision - ECCV 2020, 2020

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results.

Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Feras Almasri, Thomas Vandamme, Olivier Debeir

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results.

Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Bidirectional Graph Reasoning Network for Panoptic Segmentation.

Yangxin Wu, Gengwei Zhang, Yiming Gao, Xiajun Deng, Ke Gong, Xiaodan Liang, Liang Lin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation.

Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking.

Hongjun Wang, Guangrun Wang, Ya Li, Dongyu Zhang, Liang Lin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation.

Jihan Yang, Ruijia Xu, Ruiyu Li, Xiaojuan Qi, Xiaoyong Shen, Guanbin Li, Liang Lin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Tree-Structured Policy Based Progressive Reinforcement Learning for Temporally Language Grounding in Video.

Jie Wu, Guanbin Li, Si Liu, Liang Lin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Knowledge Graph Transfer Network for Few-Shot Recognition.

Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Human Centric Visual Analysis with Deep Learning

Liang Lin, Dongyu Zhang, Ping Luo, Wangmeng Zuo

Springer, ISBN: 978-981-13-2386-7, 2020

2019

Cost-Effective Object Detection: Active Sample Mining With Switchable Selection Criteria.

Keze Wang, Liang Lin, Xiaopeng Yan, Ziliang Chen, Dongyu Zhang, Lei Zhang

IEEE Trans. Neural Networks Learn. Syst., 2019

Facial Landmark Machines: A Backbone-Branches Architecture With Progressive Representation Learning.

Lingbo Liu, Guanbin Li, Yuan Xie, Yizhou Yu, Qing Wang, Liang Lin

IEEE Trans. Multim., 2019

Neural Task Planning With AND-OR Graph Representations.

Tianshui Chen, Riquan Chen, Lin Nie, Xiaonan Luo, Xiaobai Liu, Liang Lin

IEEE Trans. Multim., 2019

Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction.

Lingbo Liu, Zhilin Qiu, Guanbin Li, Qing Wang, Wanli Ouyang, Liang Lin

IEEE Trans. Intell. Transp. Syst., 2019

SCAN: Self-and-Collaborative Attention Network for Video Person Re-Identification.

Ruimao Zhang, Jingyu Li, Hongbin Sun, Yuying Ge, Ping Luo, Xiaogang Wang, Liang Lin

IEEE Trans. Image Process., 2019

Cross-Modal Attentional Context Learning for RGB-D Object Detection.

Guanbin Li, Yukang Gan, Hejun Wu, Nong Xiao, Liang Lin

IEEE Trans. Image Process., 2019

Context-Aware Semantic Inpainting.

Haofeng Li, Guanbin Li, Liang Lin, Hongchuan Yu, Yizhou Yu

IEEE Trans. Cybern., 2019

Progressively diffused networks for semantic visual parsing.

Ruimao Zhang, Wei Yang, Zhanglin Peng, Pengxu Wei, Xiaogang Wang, Liang Lin

Pattern Recognit., 2019

Learning Support Correlation Filters for Visual Tracking.

Wangmeng Zuo, Xiaohe Wu, Liang Lin, Lei Zhang, Ming-Hsuan Yang

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions.

Ruimao Zhang, Liang Lin, Guangrun Wang, Meng Wang, Wangmeng Zuo

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Look into Person: Joint Body Parsing & Pose Estimation Network and a New Benchmark.

Xiaodan Liang, Ke Gong, Xiaohui Shen, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Visual Tracking via Dynamic Graph Learning.

Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang, Ming-Hsuan Yang

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Blockwisely Supervised Neural Architecture Search with Knowledge Distillation.

Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang

CoRR, 2019

ACFM: A Dynamic Spatial-Temporal Network for Traffic Prediction.

Lingbo Liu, Jiajie Zhen, Guanbin Li, Geng Zhan, Liang Lin

CoRR, 2019

Learning Compact Target-Oriented Feature Representations for Visual Tracking.

Chenglong Li, Yan Huang, Liang Wang, Jin Tang, Liang Lin

CoRR, 2019

Weakly Supervised Person Re-identification: Cost-effective Learning with A New Benchmark.

Guangrun Wang, Guangcong Wang, Xujie Zhang, Jianhuang Lai, Liang Lin

CoRR, 2019

Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation.

Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, Xiaogang Wang, Liang Lin

CoRR, 2019

Perceptual Image Enhancement by Relativistic Discriminant Learning With Cross-Scale Aggregated Representation.

Yukai Shi, Jinghui Qin, Pengxu Wei, Wanli Ouyang, Liang Lin

IEEE Access, 2019

Attention Embedded Spatio-Temporal Network for Video Salient Object Detection.

Lili Huang, Pengxiang Yan, Guanbin Li, Qing Wang, Liang Lin

IEEE Access, 2019

Simultaneous Lung Field Detection and Segmentation for Pediatric Chest Radiographs.

Wei Zhang, Guanbin Li, Fuyu Wang, Longjiang E, Yizhou Yu, Liang Lin, Huiying Liang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Lightweight Contrast Modeling for Attention-Aware Visual Localization.

Lili Huang, Guanbin Li, Ya Li, Liang Lin

Proceedings of the International Conference on Robotics and Automation, 2019

Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching.

Ziliang Chen, Zhanfu Yang, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, Liang Lin

Proceedings of the 36th International Conference on Machine Learning, 2019

Concrete Image Captioning by Integrating Content Sensitive and Global Discriminative Objective.

Jie Wu, Tianshui Chen, Hefeng Wu, Zhi Yang, Qing Wang, Liang Lin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Crowd Counting via Multi-view Scale Aggregation Networks.

Zhilin Qiu, Lingbo Liu, Guanbin Li, Qing Wang, Nong Xiao, Liang Lin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Taxi Origin-Destination Demand Prediction with Contextualized Spatial-Temporal Network.

Zhilin Qiu, Lingbo Liu, Guanbin Li, Qing Wang, Nong Xiao, Liang Lin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning.

Sirui Xie, Junning Huang, Lanxin Lei, Chunxiao Liu, Zheng Ma, Wei Zhang, Liang Lin

Proceedings of the 7th International Conference on Learning Representations, 2019

Few-Shot Structured Domain Adaptation for Virtual-to-Real Scene Parsing.

Junyi Zhang, Ziliang Chen, Junying Huang, Liang Lin, Dongyu Zhang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Semi-Supervised Video Salient Object Detection Using Pseudo-Labels.

Pengxiang Yan, Guanbin Li, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, Liang Lin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning.

Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, Liang Lin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation.

Ruijia Xu, Guanbin Li, Jihan Yang, Liang Lin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Crowd Counting With Deep Structured Scale Integration Network.

Lingbo Liu, Zhilin Qiu, Guanbin Li, Shufan Liu, Wanli Ouyang, Liang Lin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid.

Zhanghui Kuang, Yiming Gao, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition.

Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, Liang Lin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Adaptively Connected Neural Networks.

Guangrun Wang, Keze Wang, Liang Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Spatially Variant Linear Representation Models for Joint Filtering.

Jinshan Pan, Jiangxin Dong, Jimmy S. J. Ren, Liang Lin, Jinhui Tang, Ming-Hsuan Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

NTIRE 2019 Challenge on Image Enhancement: Methods and Results.

Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Graphonomy: Universal Human Parsing via Graph Transfer Learning.

Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks.

Ziliang Chen, Jingyu Zhuang, Xiaodan Liang, Liang Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Knowledge-Embedded Routing Network for Scene Graph Generation.

Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis.

Chao Chen, Guanbin Li, Ruijia Xu, Tianshui Chen, Meng Wang, Liang Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation.

Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, Liang Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results.

Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Anshun Sun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joonhee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

CamDrop: A New Explanation of Dropout and A Guided Regularization Method for Deep Neural Networks.

Hongjun Wang, Guangrun Wang, Guanbin Li, Liang Lin

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition.

Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

FRAME Revisited: An Interpretation View Based on Particle Evolution.

Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation.

Xiaohe Wu, Wangmeng Zuo, Liang Lin, Wei Jia, David Zhang

IEEE Trans. Neural Networks Learn. Syst., 2018

High-Precision Camera Localization in Scenes with Repetitive Patterns.

Xiaobai Liu, Qian Xu, Yadong Mu, Jiadi Yang, Liang Lin, Shuicheng Yan

ACM Trans. Intell. Syst. Technol., 2018

Learning to Segment Object Candidates via Recursive Neural Networks.

Tianshui Chen, Liang Lin, Xian Wu, Nong Xiao, Xiaonan Luo

IEEE Trans. Image Process., 2018

Guest Editorial Introduction to the Special Issue on Large Scale and Nonlinear Similarity Learning for Intelligent Video Analysis.

Wangmeng Zuo, Liang Lin, Alan L. Yuille, Horst Bischof, Lei Zhang, Fatih Porikli

IEEE Trans. Circuits Syst. Video Technol., 2018

Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning.

Ziliang Chen, Keze Wang, Xiao Wang, Pai Peng, Ebroul Izquierdo, Liang Lin

IEEE Trans. Circuits Syst. Video Technol., 2018

Active Self-Paced Learning for Cost-Effective and Progressive Face Identification.

Liang Lin, Keze Wang, Deyu Meng, Wangmeng Zuo, Lei Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Proposal-Free Network for Instance-Level Object Segmentation.

Xiaodan Liang, Liang Lin, Yunchao Wei, Xiaohui Shen, Jianchao Yang, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Learning deep representations for semantic image parsing: a comprehensive overview.

Lili Huang, Jiefeng Peng, Ruimao Zhang, Guanbin Li, Liang Lin

Frontiers Comput. Sci., 2018

FANet: Quality-Aware Feature Aggregation Network for RGB-T Tracking.

Yabin Zhu, Chenglong Li, Yijuan Lu, Liang Lin, Bin Luo, Jin Tang

CoRR, 2018

Unsupervised Domain Adaptation: An Adaptive Feature Norm Approach.

Ruijia Xu, Guanbin Li, Jihan Yang, Liang Lin

CoRR, 2018

Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches.

Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin

CoRR, 2018

Kalman Normalization: Normalizing Internal Representations Across Network Layers.

Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Symbolic Graph Reasoning Meets Convolutions.

Xiaodan Liang, Zhiting Hu, Hao Zhang, Liang Lin, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Structured Deep Learning for Pixel-level Understanding.

Yunchao Wei, Xiaodan Liang, Si Liu, Liang Lin

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Attentive Crowd Flow Machines.

Lingbo Liu, Ruimao Zhang, Jiefeng Peng, Guanbin Li, Bowen Du, Liang Lin

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network.

Tingting Li, Ruihe Qian, Chao Dong, Si Liu, Qiong Yan, Wenwu Zhu, Liang Lin

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Non-locally Enhanced Encoder-Decoder Network for Single Image De-raining.

Guanbin Li, Xiang He, Wei Zhang, Huiyou Chang, Le Dong, Liang Lin

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding.

Tianshui Chen, Wenxi Wu, Yuefang Gao, Le Dong, Xiaonan Luo, Liang Lin

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Embedding Temporally Consistent Depth Recovery for Real-time Dense Mapping in Visual-inertial Odometry.

Hui Cheng, Zhuoqi Zheng, Jinhao He, Chongyu Chen, Keze Wang, Liang Lin

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Convolutional Memory Blocks for Depth Data Representation Learning.

Keze Wang, Liang Lin, Chuangjie Ren, Wei Zhang, Wenxiu Sun

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep Reasoning with Knowledge Graph for Social Relationship Understanding.

Zhouxia Wang, Tianshui Chen, Jimmy S. J. Ren, Weihao Yu, Hui Cheng, Liang Lin

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

DRPose3D: Depth Ranking in 3D Human Pose Estimation.

Min Wang, Xipeng Chen, Wentao Liu, Chen Qian, Liang Lin, Lizhuang Ma

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Crowd Counting using Deep Recurrent Spatial-Aware Network.

Lingbo Liu, Hongjun Wang, Guanbin Li, Wanli Ouyang, Liang Lin

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition.

Tianshui Chen, Liang Lin, Riquan Chen, Yang Wu, Xiaonan Luo

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Fusing Object Context to Detect Functional Area for Cognitive Robots.

Hui Cheng, Junhao Cai, Quande Liu, Zhanpeng Zhang, Kai Yang, Chen Change Loy, Liang Lin

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Generative Semantic Manipulation with Mask-Contrasting GAN.

Xiaodan Liang, Hao Zhang, Liang Lin, Eric P. Xing

Proceedings of the Computer Vision - ECCV 2018, 2018

Learning Warped Guidance for Blind Face Restoration.

Xiaoming Li, Ming Liu, Yuting Ye, Wangmeng Zuo, Liang Lin, Ruigang Yang

Proceedings of the Computer Vision - ECCV 2018, 2018

PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report.

Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Instance-Level Human Parsing via Part Grouping Network.

Ke Gong, Xiaodan Liang, Yicheng Li, Yimin Chen, Ming Yang, Liang Lin

Proceedings of the Computer Vision - ECCV 2018, 2018

Monocular Depth Estimation with Affinity, Vertical Pooling, and Label Enhancement.

Yukang Gan, Xiangyu Xu, Wenxiu Sun, Liang Lin

Proceedings of the Computer Vision - ECCV 2018, 2018

Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks.

Yuan Yuan, Siyuan Liu, Jiawei Zhang, Yongbing Zhang, Chao Dong, Liang Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning.

Ke Yu, Chao Dong, Liang Lin, Chen Change Loy

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Deep Cocktail Network: Multi-Source Unsupervised Domain Adaptation With Category Shift.

Ruijia Xu, Ziliang Chen, Wangmeng Zuo, Junjie Yan, Liang Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Interpretable Video Captioning via Trajectory Structured Localization.

Xian Wu, Guanbin Li, Qingxing Cao, Qingge Ji, Liang Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection.

Keze Wang, Xiaopeng Yan, Dongyu Zhang, Lei Zhang, Liang Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains.

Jiahao Pang, Wenxiu Sun, Chengxi Yang, Jimmy S. J. Ren, Ruichao Xiao, Jin Zeng, Liang Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

LSTM Pose Machines.

Yue Luo, Jimmy S. J. Ren, Zhouxia Wang, Wenxiu Sun, Jinshan Pan, Jianbo Liu, Jiahao Pang, Liang Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Single View Stereo Matching.

Yue Luo, Jimmy S. J. Ren, Mude Lin, Jiahao Pang, Wenxiu Sun, Hongsheng Li, Liang Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Multi-Level Wavelet-CNN for Image Restoration.

Pengju Liu, Hongzhi Zhang, Kai Zhang, Liang Lin, Wangmeng Zuo

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Flow Guided Recurrent Neural Encoder for Video Salient Object Detection.

Guanbin Li, Yuan Xie, Tianhao Wei, Keze Wang, Liang Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Visual Question Reasoning on General Dependency Tree.

Qingxing Cao, Xiaodan Liang, Bailin Li, Guanbin Li, Liang Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Facial Landmark Localization in the Wild by Backbone-Branches Representation Learning.

Lingbo Liu, Guanbin Li, Yuan Xie, Liang Lin, Yizhou Yu

Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

Weakly Supervised Salient Object Detection Using Image Labels.

Guanbin Li, Yuan Xie, Liang Lin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition.

Tianshui Chen, Zhouxia Wang, Guanbin Li, Liang Lin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Learning a Wavelet-Like Auto-Encoder to Accelerate Deep Neural Networks.

Tianshui Chen, Liang Lin, Wangmeng Zuo, Xiaonan Luo, Lei Zhang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Saliency Detection on Light Field: A Multi-Cue Approach.

Jun Zhang, Meng Wang, Liang Lin, Xun Yang, Jun Gao, Yong Rui

ACM Trans. Multim. Comput. Commun. Appl., 2017

Structure-Preserving Image Super-Resolution via Contextualized Multitask Learning.

Yukai Shi, Keze Wang, Chongyu Chen, Li Xu, Liang Lin

IEEE Trans. Multim., 2017

Distance Metric Learning via Iterated Support Vector Machines.

Wangmeng Zuo, Faqiang Wang, David Zhang, Liang Lin, Yuchi Huang, Deyu Meng, Lei Zhang

IEEE Trans. Image Process., 2017

Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning.

Dongyu Zhang, Liang Lin, Tianshui Chen, Xian Wu, Wenwei Tan, Ebroul Izquierdo

IEEE Trans. Image Process., 2017

Cost-Effective Active Learning for Deep Image Classification.

Keze Wang, Dongyu Zhang, Ya Li, Ruimao Zhang, Liang Lin

IEEE Trans. Circuits Syst. Video Technol., 2017

Weighted Low-Rank Decomposition for Robust Grayscale-Thermal Foreground Detection.

Chenglong Li, Xiao Wang, Lei Zhang, Jin Tang, Hejun Wu, Liang Lin

IEEE Trans. Circuits Syst. Video Technol., 2017

Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning.

Liang Lin, Guangrun Wang, Wangmeng Zuo, Xiangchu Feng, Lei Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Human Parsing with Contextualized Convolutional Neural Network.

Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Jinhui Tang, Liang Lin, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Learning to Segment Human by Watching YouTube.

Xiaodan Liang, Yunchao Wei, Liang Lin, Yunpeng Chen, Xiaohui Shen, Jianchao Yang, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Context-Aware Semantic Inpainting.

Haofeng Li, Guanbin Li, Liang Lin, Yizhou Yu

CoRR, 2017

Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks.

Tianshui Chen, Liang Lin, Wangmeng Zuo, Xiaonan Luo, Lei Zhang

CoRR, 2017

Visual Tracking via Learning Dynamic Patch-based Graph Representation.

Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang, Ming-Hsuan Yang

CoRR, 2017

Scene Parsing by Weakly Supervised Learning with Image Descriptions.

Ruimao Zhang, Liang Lin, Guangrun Wang, Meng Wang, Wangmeng Zuo

CoRR, 2017

Progressively Diffused Networks for Semantic Image Segmentation.

Ruimao Zhang, Wei Yang, Zhanglin Peng, Xiaogang Wang, Liang Lin

CoRR, 2017

Structure-Preserving Image Super-resolution via Contextualized Multi-task Learning.

Yukai Shi, Keze Wang, Chongyu Chen, Li Xu, Liang Lin

CoRR, 2017

Place-centric Visual Urban Perception with Deep Multi-instance Regression.

Xiaobai Liu, Qi Chen, Lei Zhu, Yuanlu Xu, Liang Lin

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Knowledge-guided recurrent neural network learning for task-oriented action prediction.

Liang Lin, Lili Huang, Tianshui Chen, Yukang Gan, Hui Cheng

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Multi-label Image Recognition by Recurrently Discovering Attentional Regions.

Zhouxia Wang, Tianshui Chen, Guanbin Li, Ruijia Xu, Liang Lin

Proceedings of the IEEE International Conference on Computer Vision, 2017

Deep Dual Learning for Semantic Image Segmentation.

Ping Luo, Guangrun Wang, Liang Lin, Xiaogang Wang

Proceedings of the IEEE International Conference on Computer Vision, 2017

Joint Detection and Identification Feature Learning for Person Search.

Tong Xiao, Shuang Li, Bochao Wang, Liang Lin, Xiaogang Wang

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Learning Object Interactions and Descriptions for Semantic Image Segmentation.

Guangrun Wang, Ping Luo, Liang Lin, Xiaogang Wang

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results.

Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Recurrent 3D Pose Sequence Machines.

Mude Lin, Liang Lin, Xiaodan Liang, Keze Wang, Hui Cheng

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Interpretable Structure-Evolving LSTM.

Xiaodan Liang, Liang Lin, Xiaohui Shen, Jiashi Feng, Shuicheng Yan, Eric P. Xing

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Instance-Level Salient Object Segmentation.

Guanbin Li, Yuan Xie, Liang Lin, Yizhou Yu

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing.

Ke Gong, Xiaodan Liang, Dongyu Zhang, Xiaohui Shen, Liang Lin

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Attention-Aware Face Hallucination via Deep Reinforcement Learning.

Qingxing Cao, Liang Lin, Yukai Shi, Xiaodan Liang, Guanbin Li

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Face Recognition by Coarse-to-Fine Landmark Regression with Application to ATM Surveillance.

Ya Li, Lingbo Liu, Liang Lin, Qing Wang

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

Learning Patch-Based Dynamic Graph for Visual Tracking.

Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Learning Compositional Shape Models of Multiple Distance Metrics by Information Projection.

Ping Luo, Liang Lin, Xiaobai Liu

IEEE Trans. Neural Networks Learn. Syst., 2016

DISC: Deep Image Saliency Computing via Progressive Representation Learning.

Tianshui Chen, Liang Lin, Lingbo Liu, Xiaonan Luo, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2016

Clothes Co-Parsing Via Joint Image Segmentation and Labeling With Application to Clothing Retrieval.

Xiaodan Liang, Liang Lin, Wei Yang, Ping Luo, Junshi Huang, Shuicheng Yan

IEEE Trans. Multim., 2016

An Approach to Streaming Video Segmentation With Sub-Optimal Low-Rank Decomposition.

Chenglong Li, Liang Lin, Wangmeng Zuo, Wenzhong Wang, Jin Tang

IEEE Trans. Image Process., 2016

Learning Collaborative Sparse Representation for Grayscale-Thermal Tracking.

Chenglong Li, Hui Cheng, Shiyi Hu, Xiaobai Liu, Jin Tang, Liang Lin

IEEE Trans. Image Process., 2016

Inference With Collaborative Model for Interactive Tumor Segmentation in Medical Image Sequences.

Liang Lin, Wei Yang, Chenglong Li, Jin Tang, Xiaochun Cao

IEEE Trans. Cybern., 2016

Detection-Free Multiobject Tracking by Reconfigurable Inference With Bundle Representations.

Liang Lin, Yongyi Lu, Chenglong Li, Hui Cheng, Wangmeng Zuo

IEEE Trans. Cybern., 2016

Compositional models and Structured learning for visual recognition.

Liang Lin, Jason J. Corso, Wangmeng Zuo, David Zhang, Benjamin Z. Yao

Pattern Recognit., 2016

Deep Boosting: Joint feature selection and analysis dictionary learning in hierarchy.

Zhanglin Peng, Ya Li, Zhaoquan Cai, Liang Lin

Neurocomputing, 2016

Special issue on Chinese Conference on Computer Vision 2015.

Xinbo Gao, Deyu Meng, Liang Lin, Qiguang Miao

Neurocomputing, 2016

A Deep Structured Model with Radius-Margin Bound for 3D Human Activity Recognition.

Liang Lin, Keze Wang, Wangmeng Zuo, Meng Wang, Jiebo Luo, Lei Zhang

Int. J. Comput. Vis., 2016

End-to-End Deep Learning for Person Search.

Tong Xiao, Shuang Li, Bochao Wang, Liang Lin, Xiaogang Wang

CoRR, 2016

RGB-D Scene Labeling with Long Short-Term Memorized Fusion Model.

Zhen Li, Yukang Gan, Xiaodan Liang, Yizhou Yu, Hui Cheng, Liang Lin

CoRR, 2016

Learning to Segment Object Proposals via Recursive Neural Networks.

Tianshui Chen, Liang Lin, Xian Wu, Xiaonan Luo

CoRR, 2016

High-level representation sketch for video event retrieval.

Yu Zhang, Xiaowu Chen, Liang Lin, Changqun Xia, Dongqing Zou

Sci. China Inf. Sci., 2016

Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning.

Keze Wang, Shengfu Zhai, Hui Cheng, Xiaodan Liang, Liang Lin

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Geometric Scene Parsing with Hierarchical LSTM.

Zhanglin Peng, Ruimao Zhang, Xiaodan Liang, Xiaobai Liu, Liang Lin

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A Stochastic Image Grammar for Fine-Grained 3D Scene Reconstruction.

Xiaobai Liu, Yadong Mu, Liang Lin

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning a lightweight deep convolutional network for joint age and gender recognition.

Linnan Zhu, Keze Wang, Liang Lin, Lei Zhang

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Local- and holistic-structure preserving image super resolution via deep joint component learning.

Yukai Shi, Keze Wang, Li Xu, Liang Lin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Character proposal network for robust text extraction.

Shuye Zhang, Mude Lin, Tianshui Chen, Lianwen Jin, Liang Lin

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Semantic Object Parsing with Graph LSTM.

Xiaodan Liang, Xiaohui Shen, Jiashi Feng, Liang Lin, Shuicheng Yan

Proceedings of the Computer Vision - ECCV 2016, 2016

LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling.

Zhen Li, Yukang Gan, Xiaodan Liang, Yizhou Yu, Hui Cheng, Liang Lin

Proceedings of the Computer Vision - ECCV 2016, 2016

Joint Learning of Single-Image and Cross-Image Representations for Person Re-identification.

Faqiang Wang, Wangmeng Zuo, Liang Lin, David Zhang, Lei Zhang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection.

Keze Wang, Liang Lin, Wangmeng Zuo, Shuhang Gu, Lei Zhang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Deep Structured Scene Parsing by Learning with Image Descriptions.

Liang Lin, Guangrun Wang, Rui Zhang, Ruimao Zhang, Xiaodan Liang, Wangmeng Zuo

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Reversible Recursive Instance-Level Object Segmentation.

Xiaodan Liang, Yunchao Wei, Xiaohui Shen, Zequn Jie, Jiashi Feng, Liang Lin, Shuicheng Yan

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Semantic Object Parsing with Local-Global Long Short-Term Memory.

Xiaodan Liang, Xiaohui Shen, Donglai Xiang, Jiashi Feng, Liang Lin, Shuicheng Yan

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

DARI: Distance Metric and Representation Integration for Person Verification.

Guangrun Wang, Liang Lin, Shengyong Ding, Ya Li, Qing Wang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Fashion Parsing With Video Context.

Si Liu, Xiaodan Liang, Luoqi Liu, Ke Lu, Liang Lin, Xiaochun Cao, Shuicheng Yan

IEEE Trans. Multim., 2015

Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification.

Ruimao Zhang, Liang Lin, Rui Zhang, Wangmeng Zuo, Lei Zhang

IEEE Trans. Image Process., 2015

PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures With Edge-Preserving Coherence.

Keze Wang, Liang Lin, Jiangbo Lu, Chenglong Li, Keyang Shi

IEEE Trans. Image Process., 2015

Adaptive Scene Category Discovery With Generative Learning and Compositional Sampling.

Liang Lin, Ruimao Zhang, Xiaohua Duan

IEEE Trans. Circuits Syst. Video Technol., 2015

Deep feature learning with relative distance comparison for person re-identification.

Shengyong Ding, Liang Lin, Guangrun Wang, Hongyang Chao

Pattern Recognit., 2015

Discriminatively Trained And-Or Graph Models for Object Shape Detection.

Liang Lin, Xiaolong Wang, Wei Yang, Jian-Huang Lai

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Deep Human Parsing with Active Template Regression.

Xiaodan Liang, Si Liu, Xiaohui Shen, Jianchao Yang, Luoqi Liu, Jian Dong, Liang Lin, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Kernel sparse representation for time series classification.

Zhihua Chen, Wangmeng Zuo, Qinghua Hu, Liang Lin

Inf. Sci., 2015

Data-Driven Scene Understanding with Adaptively Retrieved Exemplars.

Xionghao Liu, Wei Yang, Liang Lin, Qing Wang, Zhaoquan Cai, Jianhuang Lai

IEEE Multim., 2015

Iterated Support Vector Machines for Distance Metric Learning.

Wangmeng Zuo, Faqiang Wang, David Zhang, Liang Lin, Yuchi Huang, Deyu Meng, Lei Zhang

CoRR, 2015

F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation.

Xiaohe Wu, Wangmeng Zuo, Yuanyuan Zhu, Liang Lin

CoRR, 2015

Human-Centric Images and Videos Analysis.

Si Liu, Bingbing Ni, Liang Lin

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

End-to-End Photo-Sketch Generation via Fully Convolutional Representation Learning.

Liliang Zhang, Liang Lin, Xian Wu, Shengyong Ding, Lei Zhang

Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Human Parsing with Contextualized Convolutional Neural Network.

Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Si Liu, Jinhui Tang, Liang Lin, Shuicheng Yan

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Towards Computational Baby Learning: A Weakly-Supervised Approach for Object Detection.

Xiaodan Liang, Si Liu, Yunchao Wei, Luoqi Liu, Liang Lin, Shuicheng Yan

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Discriminative learning of iteration-wise priors for blind deconvolution.

Wangmeng Zuo, Dongwei Ren, Shuhang Gu, Liang Lin, Lei Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Matching-CNN meets KNN: Quasi-parametric human parsing.

Si Liu, Xiaodan Liang, Luoqi Liu, Xiaohui Shen, Jianchao Yang, Changsheng Xu, Liang Lin, Xiaochun Cao, Shuicheng Yan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

SOLD: Sub-optimal low-rank decomposition for efficient video segmentation.

Chenglong Li, Liang Lin, Wangmeng Zuo, Shuicheng Yan, Jin Tang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

A Deep Joint Learning Approach for Age Invariant Face Verification.

Ya Li, Guangrun Wang, Liang Lin, Huiyou Chang

Proceedings of the Computer Vision - CCF Chinese Conference, 2015

2014

Complex Background Subtraction by Pursuing Dynamic Spatio-Temporal Models.

Liang Lin, Yuanlu Xu, Xiaodan Liang, Jian-Huang Lai

IEEE Trans. Image Process., 2014

Robust Feature Point Matching With Sparse Model.

Bo Jiang, Jin Tang, Bin Luo, Liang Lin

IEEE Trans. Image Process., 2014

Computational Baby Learning.

Xiaodan Liang, Si Liu, Yunchao Wei, Luoqi Liu, Liang Lin, Shuicheng Yan

CoRR, 2014

Deep Joint Task Learning for Generic Object Extraction.

Xiaolong Wang, Liliang Zhang, Liang Lin, Zhujin Liang, Wangmeng Zuo

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Person Search in a Scene by Jointly Modeling People Commonness and Person Uniqueness.

Yuanlu Xu, Bingpeng Ma, Rui Huang, Liang Lin

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

3D Human Activity Recognition with Reconfigurable Convolutional Neural Networks.

Keze Wang, Xiaolong Wang, Liang Lin, Meng Wang, Wangmeng Zuo

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Fashion Parsing with Video Context.

Si Liu, Xiaodan Liang, Luoqi Liu, Ke Lu, Liang Lin, Shuicheng Yan

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Deep boosting: Layered feature mining for general image classification.

Zhanglin Peng, Liang Lin, Ruimao Zhang, Jing Xu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Data-driven scene understanding by adaptive exemplar retrieval.

Xionghao Liu, Wei Yang, Qing Wang, Liang Lin, Jian-Huang Lai

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

An expressive deep model for human action parsing from a single image.

Zhujin Liang, Xiaolong Wang, Rui Huang, Liang Lin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Clothing Co-parsing by Joint Image Segmentation and Labeling.

Wei Yang, Ping Luo, Liang Lin

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Discovering Video Shot Categories by Unsupervised Stochastic Graph Partition.

Xiaohua Duan, Liang Lin, Hongyang Chao

IEEE Trans. Multim., 2013

Sparse Learning-to-Rank via an Efficient Primal-Dual Algorithm.

Hanjiang Lai, Yan Pan, Cong Liu, Liang Lin, Jie Wu

IEEE Trans. Computers, 2013

Human Re-identification by Matching Compositional Template with Cluster Sampling.

Yuanlu Xu, Liang Lin, Wei-Shi Zheng, Xiaobai Liu

Proceedings of the IEEE International Conference on Computer Vision, 2013

Correntropy Induced L2 Graph for Robust Subspace Clustering.

Can-Yi Lu, Jinhui Tang, Min Lin, Liang Lin, Shuicheng Yan, Zhouchen Lin

Proceedings of the IEEE International Conference on Computer Vision, 2013

SYM-FISH: A Symmetry-Aware Flip Invariant Sketch Histogram Shape Descriptor.

Xiaochun Cao, Hua Zhang, Si Liu, Xiaojie Guo, Liang Lin

Proceedings of the IEEE International Conference on Computer Vision, 2013

Integrating multi-stage depth-induced contextual information for human action recognition and localization.

Bingbing Ni, Yong Pei, Zhujin Liang, Liang Lin, Pierre Moulin

Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

Incorporating Structural Alternatives and Sharing into Hierarchy for Multiclass Object Recognition and Detection.

Xiaolong Wang, Liang Lin, Lichao Huang, Shuicheng Yan

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Spatial Priors.

Keyang Shi, Keze Wang, Jiangbo Lu, Liang Lin

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Robust Region Grouping via Internal Patch Statistics.

Xiaobai Liu, Liang Lin, Alan L. Yuille

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Integrating Graph Partitioning and Matching for Trajectory Analysis in Video Surveillance.

Liang Lin, Yongyi Lu, Yan Pan, Xiaowu Chen

IEEE Trans. Image Process., 2012

Object categorization with sketch representation and generalized samples.

Liang Lin, Xiaobai Liu, Shaowu Peng, Hongyang Chao, Yongtian Wang, Bo Jiang

Pattern Recognit., 2012

Representing and recognizing objects with massive local image patches.

Liang Lin, Ping Luo, Xiaowu Chen, Kun Zeng

Pattern Recognit., 2012

Dynamical And-Or Graph Learning for Object Shape Modeling and Detection.

Xiaolong Wang, Liang Lin

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Joint semantic segmentation by searching for compatible-competitive references.

Ping Luo, Xiaogang Wang, Liang Lin, Xiaoou Tang

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Robust stroke-based video animation via layered motion and correspondence.

Tao Lin, Liang Lin, Qing Wang

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Realtime object-of-interest tracking by learning Composite Patch-based Templates.

Yuanlu Xu, Hongfei Zhou, Qing Wang, Liang Lin

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Object-Layout-Aware Image Retrieval for Personal Album Management.

Mengyou Li, Zheng Song, Qiang Chen, Liang Lin, ZhongYang Huang, Shuicheng Yan

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Cross-based local multipoint filtering.

Jiangbo Lu, Keyang Shi, Dongbo Min, Liang Lin, Minh N. Do

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Learning contour-fragment-based shape model with And-Or tree representation.

Liang Lin, Xiaolong Wang, Wei Yang, Jian-Huang Lai

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

High-Resolution Face Fusion for Gender Conversion.

Jin-Li Suo, Liang Lin, Shiguang Shan, Xilin Chen, Wen Gao

IEEE Trans. Syst. Man Cybern. Part A, 2011

Integrating Spatio-Temporal Context With Multiview Representation for Object Recognition in Visual Surveillance.

Xiaobai Liu, Liang Lin, Shuicheng Yan, Hai Jin, Wenbing Tao

IEEE Trans. Circuits Syst. Video Technol., 2011

Adaptive Object Tracking by Learning Hybrid Template Online.

Xiaobai Liu, Liang Lin, Shuicheng Yan, Hai Jin, Wenbin Jiang

IEEE Trans. Circuits Syst. Video Technol., 2011

Color style transfer by constraint locally linear embedding.

Kun Zeng, Ruimao Zhang, Xiaodan Lan, Yan Pan, Liang Lin

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Interactive CT image segmentation with online discriminative learning.

Wei Yang, Xiaolong Wang, Liang Lin, Chengying Gao

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Segment an image by looking into an image corpus.

Xiaobai Liu, Jiashi Feng, Shuicheng Yan, Liang Lin, Hai Jin

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

A Discriminative Model for Object Representation and Detection via Sparse Features.

Xi Song, Ping Luo, Liang Lin, Yunde Jia

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Semantics-driven portrait cartoon stylization.

Ming Yang, Shu Lin, Ping Luo, Liang Lin, Hongyang Chao

Proceedings of the International Conference on Image Processing, 2010

Learning Shape Detector by Quantizing Curve Segments with Multiple Distance Metrics.

Ping Luo, Liang Lin, Hongyang Chao

Proceedings of the Computer Vision, 2010

2009

Semantic event representation and recognition using syntactic attribute graph grammar.

Liang Lin, Haifeng Gong, Li Li, Liang Wang

Pattern Recognit. Lett., 2009

Hierarchical 3D perception from a single image.

Ping Luo, Jiajie He, Liang Lin, Hongyang Chao

Proceedings of the International Conference on Image Processing, 2009

Accurate semantic image labeling by fast Geodesic Propagation.

Xiaowu Chen, Dongyue Zhao, Yibiao Zhao, Liang Lin

Proceedings of the International Conference on Image Processing, 2009

Trajectory parsing by cluster sampling in spatio-temporal graph.

Xiaobai Liu, Liang Lin, Song Chun Zhu, Hai Jin

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Layered shape matching and registration: Stochastic sampling with hierarchical graph representation.

Xiaobai Liu, Liang Lin, Hongwei Li, Hai Jin, Wenbing Tao

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008