Dahua Lin

According to our database, Dahua Lin authored at least 302 papers between 2005 and 2024.

Collaborative distances:

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

2024

Delving Into the Devils of Bird's-Eye-View Perception: A Review, Evaluation and Recipe.

Hongyang Li, Chonghao Sima, Jifeng Dai, Wenhai Wang, Lewei Lu, Huijie Wang, Jia Zeng, Zhiqi Li, Jiazhi Yang, Hanming Deng, Hao Tian, Enze Xie, Jiangwei Xie, Li Chen, Tianyu Li, Yang Li, Yulu Gao, Xiaosong Jia, Si Liu, Jianping Shi, Dahua Lin, Yu Qiao

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

Weakly Supervised 3-D Building Reconstruction From Monocular Remote Sensing Images.

Weijia Li, Zhenghao Hu, Lingxuan Meng, Jinwang Wang, Juepeng Zheng, Runmin Dong, Conghui He, Gui-Song Xia, Haohuan Fu, Dahua Lin

IEEE Trans. Geosci. Remote. Sens., 2024

Are We on the Right Way for Evaluating Large Vision-Language Models?

Lin Chen, Jinsong Li, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Zehui Chen, Haodong Duan, Jiaqi Wang, Yu Qiao, Dahua Lin, Feng Zhao

CoRR, 2024

RAR: Retrieving And Ranking Augmented MLLMs for Visual Recognition.

Ziyu Liu, Zeyi Sun, Yuhang Zang, Wei Li, Pan Zhang, Xiaoyi Dong, Yuanjun Xiong, Dahua Lin, Jiaqi Wang

CoRR, 2024

Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models.

Zehui Chen, Kuikun Liu, Qiuchen Wang, Wenwei Zhang, Jiangning Liu, Dahua Lin, Kai Chen, Feng Zhao

CoRR, 2024

GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image.

Xiao Fu, Wei Yin, Mu Hu, Kaixuan Wang, Yuexin Ma, Ping Tan, Shaojie Shen, Dahua Lin, Xiaoxiao Long

CoRR, 2024

DevBench: A Comprehensive Benchmark for Software Development.

Bowen Li, Wenhan Wu, Ziwei Tang, Lin Shi, John Yang, Jinyang Li, Shunyu Yao, Chen Qian, Binyuan Hui, Qicheng Zhang, Zhiyin Yu, He Du, Ping Yang, Dahua Lin, Chao Peng, Kai Chen

CoRR, 2024

3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors.

Fangzhou Hong, Jiaxiang Tang, Ziang Cao, Min Shi, Tong Wu, Zhaoxi Chen, Tengfei Wang, Liang Pan, Dahua Lin, Ziwei Liu

CoRR, 2024

WanJuan-CC: A Safe and High-Quality Open-sourced English Webtext Dataset.

Jiantao Qiu, Haijun Lv, Zhenjiang Jin, Rui Wang, Wenchang Ning, Jia Yu, ChaoBin Zhang, Zhenxiang Li, Pei Chu, Yuan Qu, Jin Shi, Lindong Lu, Runyu Peng, Zhiyuan Zeng, Huanze Tang, Zhikai Lei, Jiawei Hong, Keyu Chen, Zhaoye Fei, Ruiliang Xu, Wei Li, Zhongying Tu, Dahua Lin, Yu Qiao, Hang Yan, Conghui He

CoRR, 2024

SongComposer: A Large Language Model for Lyric and Melody Composition in Song Generation.

Shuangrui Ding, Zihan Liu, Xiaoyi Dong, Pan Zhang, Rui Qian, Conghui He, Dahua Lin, Jiaqi Wang

CoRR, 2024

Data-freeWeight Compress and Denoise for Large Language Models.

Runyu Peng, Yunhua Zhou, Qipeng Guo, Yang Gao, Hang Yan, Xipeng Qiu, Dahua Lin

CoRR, 2024

DualFocus: Integrating Macro and Micro Perspectives in Multi-modal Large Language Models.

Yuhang Cao, Pan Zhang, Xiaoyi Dong, Dahua Lin, Jiaqi Wang

CoRR, 2024

Balanced Data Sampling for Language Model Training with Clustering.

Yunfan Shao, Linyang Li, Zhaoye Fei, Hang Yan, Dahua Lin, Xipeng Qiu

CoRR, 2024

CriticBench: Evaluating Large Language Models as Critic.

Tian Lan, Wenwei Zhang, Chen Xu, Heyan Huang, Dahua Lin, Kai Chen, Xianling Mao

CoRR, 2024

LongWanjuan: Towards Systematic Measurement for Long Text Quality.

Kai Lv, Xiaoran Liu, Qipeng Guo, Hang Yan, Conghui He, Xipeng Qiu, Dahua Lin

CoRR, 2024

Identifying Semantic Induction Heads to Understand In-Context Learning.

Jie Ren, Qipeng Guo, Hang Yan, Dongrui Liu, Xipeng Qiu, Dahua Lin

CoRR, 2024

Code Needs Comments: Enhancing Code LLMs with Comment Augmentation.

Demin Song, Honglin Guo, Yunhua Zhou, Shuhao Xing, Yudong Wang, Zifan Song, Wenwei Zhang, Qipeng Guo, Hang Yan, Xipeng Qiu, Dahua Lin

CoRR, 2024

Turn Waste into Worth: Rectifying Top-k Router of MoE.

Zhiyuan Zeng, Qipeng Guo, Zhaoye Fei, Zhangyue Yin, Yunhua Zhou, Linyang Li, Tianxiang Sun, Hang Yan, Dahua Lin, Xipeng Qiu

CoRR, 2024

Mixed Gaussian Flow for Diverse Trajectory Prediction.

Jiahe Chen, Jinkun Cao, Dahua Lin, Kris Kitani, Jiangmiao Pang

CoRR, 2024

SepRep-Net: Multi-source Free Domain Adaptation via Model Separation And Reparameterization.

Ying Jin, Jiaqi Wang, Dahua Lin

CoRR, 2024

InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning.

Huaiyuan Ying, Shuo Zhang, Linyang Li, Zhejian Zhou, Yunfan Shao, Zhaoye Fei, Yichuan Ma, Jiawei Hong, Kuikun Liu, Ziyi Wang, Yudong Wang, Zijian Wu, Shuaibin Li, Fengzhe Zhou, Hongwei Liu, Songyang Zhang, Wenwei Zhang, Hang Yan, Xipeng Qiu, Jiayu Wang, Kai Chen, Dahua Lin

CoRR, 2024

LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K.

Tao Yuan, Xuefei Ning, Dong Zhou, Zhijie Yang, Shiyao Li, Minghui Zhuang, Zheyue Tan, Zhuyu Yao, Dahua Lin, Boxun Li, Guohao Dai, Shengen Yan, Yu Wang

CoRR, 2024

SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models.

Lijun Li, Bowen Dong, Ruohui Wang, Xuhao Hu, Wangmeng Zuo, Dahua Lin, Yu Qiao, Jing Shao

CoRR, 2024

Navigating the OverKill in Large Language Models.

Chenyu Shi, Xiao Wang, Qiming Ge, Songyang Gao, Xianjun Yang, Tao Gui, Qi Zhang, Xuanjing Huang, Xun Zhao, Dahua Lin

CoRR, 2024

InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model.

Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Bin Wang, Linke Ouyang, Xilin Wei, Songyang Zhang, Haodong Duan, Maosong Cao, Wenwei Zhang, Yining Li, Hang Yan, Yang Gao, Xinyue Zhang, Wei Li, Jingwen Li, Kai Chen, Conghui He, Xingcheng Zhang, Yu Qiao, Dahua Lin, Jiaqi Wang

CoRR, 2024

F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods.

Yu Sun, Keyu Chen, Shujie Wang, Qipeng Guo, Hang Yan, Xipeng Qiu, Xuanjing Huang, Dahua Lin

CoRR, 2024

Query of CC: Unearthing Large Scale Domain-Specific Knowledge from Public Corpora.

Zhaoye Fei, Yunfan Shao, Linyang Li, Zhiyuan Zeng, Hang Yan, Xipeng Qiu, Dahua Lin

CoRR, 2024

Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback.

Songyang Gao, Qiming Ge, Wei Shen, Shihan Dou, Junjie Ye, Xiao Wang, Rui Zheng, Yicheng Zou, Zhi Chen, Hang Yan, Qi Zhang, Dahua Lin

CoRR, 2024

SwinTextSpotter v2: Towards Better Synergy for Scene Text Spotting.

Mingxin Huang, Dezhi Peng, Hongliang Li, Zhenghao Peng, Chongyu Liu, Dahua Lin, Yuliang Liu, Xiang Bai, Lianwen Jin

CoRR, 2024

GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation.

Tong Wu, Guandao Yang, Zhibing Li, Kai Zhang, Ziwei Liu, Leonidas J. Guibas, Dahua Lin, Gordon Wetzstein

CoRR, 2024

Characterization of Large Language Model Development in the Datacenter.

Qinghao Hu, Zhisheng Ye, Zerui Wang, Guoteng Wang, Meng Zhang, Qiaoling Chen, Peng Sun, Dahua Lin, Xiaolin Wang, Yingwei Luo, Yonggang Wen, Tianwei Zhang

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

Parcae: Proactive, Liveput-Optimized DNN Training on Preemptible Instances.

Jiangfei Duan, Ziang Song, Xupeng Miao, Xiaoli Xi, Dahua Lin, Harry Xu, Minjia Zhang, Zhihao Jia

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

SpotServe: Serving Generative Large Language Models on Preemptible Instances.

Xupeng Miao, Chunan Shi, Jiangfei Duan, Xiaoli Xi, Dahua Lin, Bin Cui, Zhihao Jia

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

SPTS v2: Single-Point Scene Text Spotting.

Yuliang Liu, Jiaxin Zhang, Dezhi Peng, Mingxin Huang, Xinyu Wang, Jingqun Tang, Can Huang, Dahua Lin, Chunhua Shen, Xiang Bai, Lianwen Jin

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

Parsing-Conditioned Anime Translation: A New Dataset and Method.

Zhansheng Li, Yangyang Xu, Nanxuan Zhao, Yang Zhou, Yongtuo Liu, Dahua Lin, Shengfeng He

ACM Trans. Graph., 2023

A Coarse-to-Fine Framework for Automatic Video Unscreen.

Anyi Rao, Linning Xu, Zhizhong Li, Qingqiu Huang, Zhanghui Kuang, Wayne Zhang, Dahua Lin

IEEE Trans. Multim., 2023

EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AI.

Tai Wang, Xiaohan Mao, Chenming Zhu, Runsen Xu, Ruiyuan Lyu, Peisen Li, Xiao Chen, Wenwei Zhang, Kai Chen, Tianfan Xue, Xihui Liu, Cewu Lu, Dahua Lin, Jiangmiao Pang

CoRR, 2023

Gemini vs GPT-4V: A Preliminary Comparison and Combination of Vision-Language Models Through Qualitative Cases.

Zhangyang Qi, Ye Fang, Mengchen Zhang, Zeyi Sun, Tong Wu, Ziwei Liu, Dahua Lin, Jiaqi Wang, Hengshuang Zhao

CoRR, 2023

T-Eval: Evaluating the Tool Utilization Capability Step by Step.

Zehui Chen, Weihua Du, Wenwei Zhang, Kuikun Liu, Jiangning Liu, Miao Zheng, Jingming Zhuo, Songyang Zhang, Dahua Lin, Kai Chen, Feng Zhao

CoRR, 2023

SceneWiz3D: Towards Text-guided 3D Scene Composition.

Qihang Zhang, Chaoyang Wang, Aliaksandr Siarohin, Peiye Zhuang, Yinghao Xu, Ceyuan Yang, Dahua Lin, Bolei Zhou, Sergey Tulyakov, Hsin-Ying Lee

CoRR, 2023

HyperDreamer: Hyper-Realistic 3D Content Generation and Editing from a Single Image.

Tong Wu, Zhibing Li, Shuai Yang, Pan Zhang, Xingang Pan, Jiaqi Wang, Dahua Lin, Ziwei Liu

CoRR, 2023

Alpha-CLIP: A CLIP Model Focusing on Wherever You Want.

Zeyi Sun, Ye Fang, Tong Wu, Pan Zhang, Yuhang Zang, Shu Kong, Yuanjun Xiong, Dahua Lin, Jiaqi Wang

CoRR, 2023

OneLLM: One Framework to Align All Modalities with Language.

Jiaming Han, Kaixiong Gong, Yiyuan Zhang, Jiaqi Wang, Kaipeng Zhang, Dahua Lin, Yu Qiao, Peng Gao, Xiangyu Yue

CoRR, 2023

Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future.

Hongyang Li, Yang Li, Huijie Wang, Jia Zeng, Pinlong Cai, Huilin Xu, Dahua Lin, Junchi Yan, Feng Xu, Lu Xiong, Jingdong Wang, Futang Zhu, Kai Yan, Chunjing Xu, Tiancai Wang, Beipeng Mu, Shaoqing Ren, Zhihui Peng, Yu Qiao

CoRR, 2023

GPT4Point: A Unified Framework for Point-Language Understanding and Generation.

Zhangyang Qi, Ye Fang, Zeyi Sun, Xiaoyang Wu, Tong Wu, Jiaqi Wang, Dahua Lin, Hengshuang Zhao

CoRR, 2023

VideoBooth: Diffusion-based Video Generation with Image Prompts.

Yuming Jiang, Tianxing Wu, Shuai Yang, Chenyang Si, Dahua Lin, Yu Qiao, Chen Change Loy, Ziwei Liu

CoRR, 2023

Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering.

Tao Lu, Mulin Yu, Linning Xu, Yuanbo Xiangli, Limin Wang, Dahua Lin, Bo Dai

CoRR, 2023

VBench: Comprehensive Benchmark Suite for Video Generative Models.

Ziqi Huang, Yinan He, Jiashuo Yu, Fan Zhang, Chenyang Si, Yuming Jiang, Yuanhan Zhang, Tianxing Wu, Qingyang Jin, Nattapol Chanpaisit, Yaohui Wang, Xinyuan Chen, Limin Wang, Dahua Lin, Yu Qiao, Ziwei Liu

CoRR, 2023

OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation.

Qidong Huang, Xiaoyi Dong, Pan Zhang, Bin Wang, Conghui He, Jiaqi Wang, Dahua Lin, Weiming Zhang, Nenghai Yu

CoRR, 2023

Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation.

Shuangrui Ding, Rui Qian, Haohang Xu, Dahua Lin, Hongkai Xiong

CoRR, 2023

Cinematic Behavior Transfer via NeRF-based Differentiable Filming.

Xuekun Jiang, Anyi Rao, Jingbo Wang, Dahua Lin, Bo Dai

CoRR, 2023

HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting.

Xian Liu, Xiaohang Zhan, Jiaxiang Tang, Ying Shan, Gang Zeng, Dahua Lin, Xihui Liu, Ziwei Liu

CoRR, 2023

SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models.

Yuwei Guo, Ceyuan Yang, Anyi Rao, Maneesh Agrawala, Dahua Lin, Bo Dai

CoRR, 2023

InterControl: Generate Human Motion Interactions by Controlling Every Joint.

Zhenzhi Wang, Jingbo Wang, Dahua Lin, Bo Dai

CoRR, 2023

ShareGPT4V: Improving Large Multi-Modal Models with Better Captions.

Lin Chen, Jinsong Li, Xiaoyi Dong, Pan Zhang, Conghui He, Jiaqi Wang, Feng Zhao, Dahua Lin

CoRR, 2023

Flames: Benchmarking Value Alignment of Chinese Large Language Models.

Kexin Huang, Xiangyang Liu, Qianyu Guo, Tianxiang Sun, Jiawei Sun, Yaru Wang, Zeyang Zhou, Yixu Wang, Yan Teng, Xipeng Qiu, Yingchun Wang, Dahua Lin

CoRR, 2023

SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction.

Xinyuan Chen, Yaohui Wang, Lingjun Zhang, Shaobin Zhuang, Xin Ma, Jiashuo Yu, Yali Wang, Dahua Lin, Yu Qiao, Ziwei Liu

CoRR, 2023

BotChat: Evaluating LLMs' Capabilities of Having Multi-Turn Dialogues.

Haodong Duan, Jueqi Wei, Chonghua Wang, Hongwei Liu, Yixiao Fang, Songyang Zhang, Dahua Lin, Kai Chen

CoRR, 2023

HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion.

Xian Liu, Jian Ren, Aliaksandr Siarohin, Ivan Skorokhodov, Yanyu Li, Dahua Lin, Xihui Liu, Ziwei Liu, Sergey Tulyakov

CoRR, 2023

Scaling Laws of RoPE-based Extrapolation.

Xiaoran Liu, Hang Yan, Shuo Zhang, Chenxin An, Xipeng Qiu, Dahua Lin

CoRR, 2023

Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models.

Xianjun Yang, Xiao Wang, Qi Zhang, Linda R. Petzold, William Yang Wang, Xun Zhao, Dahua Lin

CoRR, 2023

InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition.

Pan Zhang, Xiaoyi Dong, Bin Wang, Yuhang Cao, Chao Xu, Linke Ouyang, Zhiyuan Zhao, Shuangrui Ding, Songyang Zhang, Haodong Duan, Wenwei Zhang, Hang Yan, Xinyue Zhang, Wei Li, Jingwen Li, Kai Chen, Conghui He, Xingcheng Zhang, Yu Qiao, Dahua Lin, Jiaqi Wang

CoRR, 2023

LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models.

Yaohui Wang, Xinyuan Chen, Xin Ma, Shangchen Zhou, Ziqi Huang, Yi Wang, Ceyuan Yang, Yinan He, Jiashuo Yu, Peiqing Yang, Yuwei Guo, Tianxing Wu, Chenyang Si, Yuming Jiang, Cunjian Chen, Chen Change Loy, Bo Dai, Dahua Lin, Yu Qiao, Ziwei Liu

CoRR, 2023

Unified Human-Scene Interaction via Prompted Chain-of-Contacts.

Zeqi Xiao, Tai Wang, Jingbo Wang, Jinkun Cao, Wenwei Zhang, Bo Dai, Dahua Lin, Jiangmiao Pang

CoRR, 2023

PointLLM: Empowering Large Language Models to Understand Point Clouds.

Runsen Xu, Xiaolong Wang, Tai Wang, Yilun Chen, Jiangmiao Pang, Dahua Lin

CoRR, 2023

WanJuan: A Comprehensive Multimodal Dataset for Advancing English and Chinese Large Models.

Conghui He, Zhenjiang Jin, Chao Xu, Jiantao Qiu, Bin Wang, Wei Li, Hang Yan, Jiaqi Wang, Dahua Lin

CoRR, 2023

Learning Referring Video Object Segmentation from Weak Annotation.

Wangbo Zhao, Kepan Nan, Songyang Zhang, Kai Chen, Dahua Lin, Yang You

CoRR, 2023

DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-centric Rendering.

Wei Cheng, Ruixiang Chen, Wanqi Yin, Siming Fan, Keyu Chen, Honglin He, Huiwen Luo, Zhongang Cai, Jingbo Wang, Yang Gao, Zhengming Yu, Zhengyu Lin, Daxuan Ren, Lei Yang, Ziwei Liu, Chen Change Loy, Chen Qian, Wayne Wu, Dahua Lin, Bo Dai, Kwan-Yee Lin

CoRR, 2023

MMBench: Is Your Multi-modal Model an All-around Player?

Yuan Liu, Haodong Duan, Yuanhan Zhang, Bo Li, Songyang Zhang, Wangbo Zhao, Yike Yuan, Jiaqi Wang, Conghui He, Ziwei Liu, Kai Chen, Dahua Lin

CoRR, 2023

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

Yuwei Guo, Ceyuan Yang, Anyi Rao, Yaohui Wang, Yu Qiao, Dahua Lin, Bo Dai

CoRR, 2023

Scene as Occupancy.

Chonghao Sima, Wenwen Tong, Tai Wang, Li Chen, Silei Wu, Hanming Deng, Yi Gu, Lewei Lu, Ping Luo, Dahua Lin, Hongyang Li

CoRR, 2023

Proteus: Simulating the Performance of Distributed DNN Training.

Jiangfei Duan, Xiuhong Li, Ping Xu, Xingcheng Zhang, Shengen Yan, Yun Liang, Dahua Lin

CoRR, 2023

RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars.

Dongwei Pan, Long Zhuo, Jingtan Piao, Huiwen Luo, Wei Cheng, Yuxin Wang, Siming Fan, Shengqi Liu, Lei Yang, Bo Dai, Ziwei Liu, Chen Change Loy, Chen Qian, Wayne Wu, Dahua Lin, Kwan-Yee Lin

CoRR, 2023

RIFormer: Keep Your Vision Backbone Effective While Removing Token Mixer.

Jiahao Wang, Songyang Zhang, Yong Liu, Taiqiang Wu, Yujiu Yang, Xihui Liu, Kai Chen, Ping Luo, Dahua Lin

CoRR, 2023

V3Det: Vast Vocabulary Visual Detection Dataset.

Jiaqi Wang, Pan Zhang, Tao Chu, Yuhang Cao, Yujie Zhou, Tong Wu, Bin Wang, Conghui He, Dahua Lin

CoRR, 2023

SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling.

Zhitao Yang, Zhongang Cai, Haiyi Mei, Shuai Liu, Zhaoxi Chen, Weiye Xiao, Yukun Wei, Zhongfei Qing, Chen Wei, Bo Dai, Wayne Wu, Chen Qian, Dahua Lin, Ziwei Liu, Lei Yang

CoRR, 2023

Position-Guided Point Cloud Panoptic Segmentation Transformer.

Zeqi Xiao, Wenwei Zhang, Tai Wang, Chen Change Loy, Dahua Lin, Jiangmiao Pang

CoRR, 2023

PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling.

Yuan Liu, Songyang Zhang, Jiacheng Chen, Kai Chen, Dahua Lin

CoRR, 2023

Dynamic Storyboard Generation in an Engine-based Virtual Environment for Video Production.

Anyi Rao, Xuekun Jiang, Yuwei Guo, Linning Xu, Lei Yang, Libiao Jin, Dahua Lin, Bo Dai

CoRR, 2023

VR-NeRF: High-Fidelity Virtualized Walkable Spaces.

Linning Xu, Vasu Agrawal, William Laney, Tony Garcia, Aayush Bansal, Changil Kim, Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder, Aljaz Bozic, Dahua Lin, Michael Zollhöfer, Christian Richardt

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

HyperDreamer: Hyper-Realistic 3D Content Generation and Editing from a Single Image.

Tong Wu, Zhibing Li, Shuai Yang, Pan Zhang, Xingang Pan, Jiaqi Wang, Dahua Lin, Ziwei Liu

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Dynamic Storyboard Generation in an Engine-based Virtual Environment for Video Production.

Anyi Rao, Xuekun Jiang, Yuwei Guo, Linning Xu, Lei Yang, Libiao Jin, Dahua Lin, Bo Dai

Proceedings of the ACM SIGGRAPH 2023 Posters, 2023

RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars.

Dongwei Pan, Long Zhuo, Jingtan Piao, Huiwen Luo, Wei Cheng, Yuxin Wang, Siming Fan, Shengqi Liu, Lei Yang, Bo Dai, Ziwei Liu, Chen Change Loy, Chen Qian, Wayne Wu, Dahua Lin, Kwan-Yee Lin

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

HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE.

Zikai Wei, Anyi Rao, Bo Dai, Dahua Lin

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

Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction.

Tong Wu, Jiaqi Wang, Xingang Pan, Xudong Xu, Christian Theobalt, Ziwei Liu, Dahua Lin

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling.

Zhitao Yang, Zhongang Cai, Haiyi Mei, Shuai Liu, Zhaoxi Chen, Weiye Xiao, Yukun Wei, Zhongfei Qing, Chen Wei, Bo Dai, Wayne Wu, Chen Qian, Dahua Lin, Ziwei Liu, Lei Yang

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

AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation.

Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Bo Dai, Dahua Lin

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

V3Det: Vast Vocabulary Visual Detection Dataset.

Jiaqi Wang, Pan Zhang, Tao Chu, Yuhang Cao, Yujie Zhou, Tong Wu, Bin Wang, Conghui He, Dahua Lin

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

Learning Human Dynamics in Autonomous Driving Scenarios.

Jingbo Wang, Ye Yuan, Zhengyi Luo, Kevin Xie, Dahua Lin, Umar Iqbal, Sanja Fidler, Sameh Khamis

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

Scene as Occupancy.

Wenwen Tong, Chonghao Sima, Tai Wang, Li Chen, Silei Wu, Hanming Deng, Yi Gu, Lewei Lu, Ping Luo, Dahua Lin, Hongyang Li

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

Semantics Meets Temporal Correspondence: Self-supervised Object-centric Learning in Videos.

Rui Qian, Shuangrui Ding, Xian Liu, Dahua Lin

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

Improving Pixel-based MIM by Reducing Wasted Modeling Capability.

Yuan Liu, Songyang Zhang, Jiacheng Chen, Zhaohui Yu, Kai Chen, Dahua Lin

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

DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-centric Rendering.

Wei Cheng, Ruixiang Chen, Siming Fan, Wanqi Yin, Keyu Chen, Zhongang Cai, Jingbo Wang, Yang Gao, Zhengming Yu, Zhengyu Lin, Daxuan Ren, Lei Yang, Ziwei Liu, Chen Change Loy, Chen Qian, Wayne Wu, Dahua Lin, Bo Dai, Kwan-Yee Lin

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

MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond.

Yixuan Li, Lihan Jiang, Linning Xu, Yuanbo Xiangli, Zhenzhi Wang, Dahua Lin, Bo Dai

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

E2EAI: End-to-End Deep Learning Framework for Active Investing.

Zikai Wei, Bo Dai, Dahua Lin

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Chimera: An Analytical Optimizing Framework for Effective Compute-intensive Operators Fusion.

Size Zheng, Siyuan Chen, Peidi Song, Renze Chen, Xiuhong Li, Shengen Yan, Dahua Lin, Jingwen Leng, Yun Liang

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

CLEVA: Chinese Language Models EVAluation Platform.

Yanyang Li, Jianqiao Zhao, Duo Zheng, Zi-Yuan Hu, Zhi Chen, Xiaohui Su, Yongfeng Huang, Shijia Huang, Dahua Lin, Michael R. Lyu, Liwei Wang

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

Cali-NCE: Boosting Cross-modal Video Representation Learning with Calibrated Alignment.

Nanxuan Zhao, Jianbo Jiao, Weidi Xie, Dahua Lin

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

Grid-guided Neural Radiance Fields for Large Urban Scenes.

Linning Xu, Yuanbo Xiangli, Sida Peng, Xingang Pan, Nanxuan Zhao, Christian Theobalt, Bo Dai, Dahua Lin

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

MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training.

Runsen Xu, Tai Wang, Wenwei Zhang, Runjian Chen, Jinkun Cao, Jiangmiao Pang, Dahua Lin

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

OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation.

Tong Wu, Jiarui Zhang, Xiao Fu, Yuxin Wang, Jiawei Ren, Liang Pan, Wayne Wu, Lei Yang, Jiaqi Wang, Chen Qian, Dahua Lin, Ziwei Liu

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

RIFormer: Keep Your Vision Backbone Effective But Removing Token Mixer.

Jiahao Wang, Songyang Zhang, Yong Liu, Taiqiang Wu, Yujiu Yang, Xihui Liu, Kai Chen, Ping Luo, Dahua Lin

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

Controllable Mesh Generation Through Sparse Latent Point Diffusion Models.

Zhaoyang Lyu, Jinyi Wang, Yuwei An, Ya Zhang, Dahua Lin, Bo Dai

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

OmniCity: Omnipotent City Understanding with Multi-Level and Multi-View Images.

Weijia Li, Yawen Lai, Linning Xu, Yuanbo Xiangli, Jinhua Yu, Conghui He, Gui-Song Xia, Dahua Lin

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

Multi-Level Logit Distillation.

Ying Jin, Jiaqi Wang, Dahua Lin

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

DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking.

Qing Lian, Tai Wang, Dahua Lin, Jiangmiao Pang

Proceedings of the Conference on Robot Learning, 2023

2022

Force-Aware Interface via Electromyography for Natural VR/AR Interaction.

Yunxiang Zhang, Benjamin Liang, Boyuan Chen, Paul M. Torrens, Seyed Farokh Atashzar, Dahua Lin, Qi Sun

ACM Trans. Graph., 2022

Jointly Learning the Attributes and Composition of Shots for Boundary Detection in Videos.

Xuekun Jiang, Libiao Jin, Anyi Rao, Linning Xu, Dahua Lin

IEEE Trans. Multim., 2022

Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-Based Perception.

Xinge Zhu, Hui Zhou, Tai Wang, Fangzhou Hong, Wei Li, Yuexin Ma, Hongsheng Li, Ruigang Yang, Dahua Lin

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

CARAFE++: Unified Content-Aware ReAssembly of FEatures.

Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin

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

Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation.

Xingang Pan, Xiaohang Zhan, Bo Dai, Dahua Lin, Chen Change Loy, Ping Luo

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

Factor Investing with a Deep Multi-Factor Model.

Zikai Wei, Bo Dai, Dahua Lin

CoRR, 2022

Rethinking Trajectory Prediction via "Team Game".

Zikai Wei, Xinge Zhu, Bo Dai, Dahua Lin

CoRR, 2022

Temporal and Contextual Transformer for Multi-Camera Editing of TV Shows.

Anyi Rao, Xuekun Jiang, Sichen Wang, Yuwei Guo, Zihao Liu, Bo Dai, Long Pang, Xiaoyu Wu, Dahua Lin, Libiao Jin

CoRR, 2022

DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition.

Haodong Duan, Jiaqi Wang, Kai Chen, Dahua Lin

CoRR, 2022

Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe.

Hongyang Li, Chonghao Sima, Jifeng Dai, Wenhai Wang, Lewei Lu, Huijie Wang, Enze Xie, Zhiqi Li, Hanming Deng, Hao Tian, Xizhou Zhu, Li Chen, Yulu Gao, Xiangwei Geng, Jia Zeng, Yang Li, Jiazhi Yang, Xiaosong Jia, Bohan Yu, Yu Qiao, Dahua Lin, Si Liu, Junchi Yan, Jianping Shi, Ping Luo

CoRR, 2022

Guided Diffusion Model for Adversarial Purification.

Jinyi Wang, Zhaoyang Lyu, Dahua Lin, Bo Dai, Hongfei Fu

CoRR, 2022

Accelerating Diffusion Models via Early Stop of the Diffusion Process.

Zhaoyang Lyu, Xudong Xu, Ceyuan Yang, Dahua Lin, Bo Dai

CoRR, 2022

MINI: Mining Implicit Novel Instances for Few-Shot Object Detection.

Yuhang Cao, Jiaqi Wang, Yiqi Lin, Dahua Lin

CoRR, 2022

Shoot360: Normal View Video Creation from City Panorama Footage.

Anyi Rao, Linning Xu, Dahua Lin

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

Audio-Driven Co-Speech Gesture Video Generation.

Xian Liu, Qianyi Wu, Hang Zhou, Yuanqi Du, Wayne Wu, Dahua Lin, Ziwei Liu

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

Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant.

Ying Jin, Jiaqi Wang, Dahua Lin

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

Transcript to Video: Efficient Clip Sequencing from Texts.

Yu Xiong, Fabian Caba Heilbron, Dahua Lin

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Cycle-Consistent Learning for Weakly Supervised Semantic Segmentation.

Bin Wang, Yu Qiao, Dahua Lin, Stephen D. H. Yang, Weijia Li

Proceedings of the HCMA@MM 2022: Proceedings of the 3rd International Workshop on Human-Centric Multimedia Analysis, 2022

SPTS: Single-Point Text Spotting.

Dezhi Peng, Xinyu Wang, Yuliang Liu, Jiaxin Zhang, Mingxin Huang, Songxuan Lai, Jing Li, Shenggao Zhu, Dahua Lin, Chunhua Shen, Xiang Bai, Lianwen Jin

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

PYSKL: Towards Good Practices for Skeleton Action Recognition.

Haodong Duan, Jiaqi Wang, Kai Chen, Dahua Lin

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

LongTail-Bench: A Benchmark Suite for Domain-Specific Operators in Deep Learning.

Xiuhong Li, Shengen Yan, Lijuan Jiang, Ping Xu, Jinming Ma, Xingcheng Zhang, Dahua Lin

Proceedings of the IEEE International Symposium on Workload Characterization, 2022

EasyView: Enabling and Scheduling Tensor Views in Deep Learning Compilers.

Lijuan Jiang, Ping Xu, Qianchao Zhu, Xiuhong Li, Shengen Yan, Xingcheng Zhang, Dahua Lin, Wenjing Ma, Zhouyang Li, Jun Liu, Jinming Ma, Minxi Jin, Chao Yang

Proceedings of the 51st International Conference on Parallel Processing, 2022

A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion.

Zhaoyang Lyu, Zhifeng Kong, Xudong Xu, Liang Pan, Dahua Lin

Proceedings of the Tenth International Conference on Learning Representations, 2022

BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering.

Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, Dahua Lin

Proceedings of the Computer Vision - ECCV 2022, 2022

Monocular 3D Object Detection with Depth from Motion.

Tai Wang, Jiangmiao Pang, Dahua Lin

Proceedings of the Computer Vision - ECCV 2022, 2022

Static and Dynamic Concepts for Self-supervised Video Representation Learning.

Rui Qian, Shuangrui Ding, Xian Liu, Dahua Lin

Proceedings of the Computer Vision - ECCV 2022, 2022

Mitigating Representation Bias in Action Recognition: Algorithms and Benchmarks.

Haodong Duan, Yue Zhao, Kai Chen, Yuanjun Xiong, Dahua Lin

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

OCSampler: Compressing Videos to One Clip with Single-step Sampling.

Jintao Lin, Haodong Duan, Kai Chen, Dahua Lin, Limin Wang

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

SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition.

Mingxin Huang, Yuliang Liu, Zhenghao Peng, Chongyu Liu, Dahua Lin, Shenggao Zhu, Nicholas Jing Yuan, Kai Ding, Lianwen Jin

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

TransRank: Self-supervised Video Representation Learning via Ranking-based Transformation Recognition.

Haodong Duan, Nanxuan Zhao, Kai Chen, Dahua Lin

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

Revisiting Skeleton-based Action Recognition.

Haodong Duan, Yue Zhao, Kai Chen, Dahua Lin, Bo Dai

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

Towards Diverse and Natural Scene-aware 3D Human Motion Synthesis.

Jingbo Wang, Yu Rong, Jingyuan Liu, Sijie Yan, Dahua Lin, Bo Dai

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

2021

Learning Diverse Fashion Collocation by Neural Graph Filtering.

Xin Liu, Yongbin Sun, Ziwei Liu, Dahua Lin

IEEE Trans. Multim., 2021

Towards Statistically Provable Geometric 3D Human Pose Recovery.

Jianqiao Wangni, Dahua Lin, Ji Liu, Kostas Daniilidis, Jianbo Shi

SIAM J. Imaging Sci., 2021

Distributions.jl: Definition and Modeling of Probability Distributions in the JuliaStats Ecosystem.

Mathieu Besançon, Theodore Papamarkou, David Anthoff, Alex Arslan, Simon Byrne, Dahua Lin, John Pearson

J. Stat. Softw., 2021

Towards Balanced Learning for Instance Recognition.

Jiangmiao Pang, Kai Chen, Qi Li, Zhihai Xu, Huajun Feng, Jianping Shi, Wanli Ouyang, Dahua Lin

Int. J. Comput. Vis., 2021

SPTS: Single-Point Text Spotting.

Dezhi Peng, Xinyu Wang, Yuliang Liu, Jiaxin Zhang, Mingxin Huang, Songxuan Lai, Shenggao Zhu, Jing Li, Dahua Lin, Chunhua Shen, Lianwen Jin

CoRR, 2021

CityNeRF: Building NeRF at City Scale.

Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, Dahua Lin

CoRR, 2021

Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion.

Tong Wu, Liang Pan, Junzhe Zhang, Tai Wang, Ziwei Liu, Dahua Lin

CoRR, 2021

INTERN: A New Learning Paradigm Towards General Vision.

Jing Shao, Siyu Chen, Yangguang Li, Kun Wang, Zhenfei Yin, Yinan He, Jianing Teng, Qinghong Sun, Mengya Gao, Jihao Liu, Gengshi Huang, Guanglu Song, Yichao Wu, Yuming Huang, Fenggang Liu, Huan Peng, Shuo Qin, Chengyu Wang, Yujie Wang, Conghui He, Ding Liang, Yu Liu, Fengwei Yu, Junjie Yan, Dahua Lin, Xiaogang Wang, Yu Qiao

CoRR, 2021

WSSOD: A New Pipeline for Weakly- and Semi-Supervised Object Detection.

Shijie Fang, Yuhang Cao, Xinjiang Wang, Kai Chen, Dahua Lin, Wayne Zhang

CoRR, 2021

Revisiting Skeleton-based Action Recognition.

Haodong Duan, Yue Zhao, Kai Chen, Dian Shao, Dahua Lin, Bo Dai

CoRR, 2021

Welcome back!

Hai Jin, Yuanchun Shi, Dahua Lin

Commun. ACM, 2021

Generative Occupancy Fields for 3D Surface-Aware Image Synthesis.

Xudong Xu, Xingang Pan, Dahua Lin, Bo Dai

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

Balanced Chamfer Distance as a Comprehensive Metric for Point Cloud Completion.

Tong Wu, Liang Pan, Junzhe Zhang, Tai Wang, Ziwei Liu, Dahua Lin

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

Few-Shot Object Detection via Association and DIscrimination.

Yuhang Cao, Jiaqi Wang, Ying Jin, Tong Wu, Kai Chen, Ziwei Liu, Dahua Lin

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

MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding.

Zhanghui Kuang, Hongbin Sun, Zhizhong Li, Xiaoyu Yue, Tsui Hin Lin, Jianyong Chen, Huaqiang Wei, Yiqin Zhu, Tong Gao, Wenwei Zhang, Kai Chen, Wayne Zhang, Dahua Lin

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

FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection.

Tai Wang, Xinge Zhu, Jiangmiao Pang, Dahua Lin

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

Vision Transformer with Progressive Sampling.

Xiaoyu Yue, Shuyang Sun, Zhanghui Kuang, Meng Wei, Philip H. S. Torr, Wayne Zhang, Dahua Lin

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

BlockPlanner: City Block Generation with Vectorized Graph Representation.

Linning Xu, Yuanbo Xiangli, Anyi Rao, Nanxuan Zhao, Bo Dai, Ziwei Liu, Dahua Lin

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

3D Building Reconstruction from Monocular Remote Sensing Images.

Weijia Li, Lingxuan Meng, Jinwang Wang, Conghui He, Gui-Song Xia, Dahua Lin

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

Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation.

Xinge Zhu, Hui Zhou, Tai Wang, Fangzhou Hong, Yuexin Ma, Wei Li, Hongsheng Li, Dahua Lin

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

Visually Informed Binaural Audio Generation without Binaural Audios.

Xudong Xu, Hang Zhou, Ziwei Liu, Bo Dai, Xiaogang Wang, Dahua Lin

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

Adversarial Robustness Under Long-Tailed Distribution.

Tong Wu, Ziwei Liu, Qingqiu Huang, Yu Wang, Dahua Lin

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

Seesaw Loss for Long-Tailed Instance Segmentation.

Jiaqi Wang, Wenwei Zhang, Yuhang Zang, Yuhang Cao, Jiangmiao Pang, Tao Gong, Kai Chen, Ziwei Liu, Chen Change Loy, Dahua Lin

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

Scene-Aware Generative Network for Human Motion Synthesis.

Jingbo Wang, Sijie Yan, Bo Dai, Dahua Lin

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

Towards Evaluating and Training Verifiably Robust Neural Networks.

Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Kehuan Zhang, Dahua Lin

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

Probabilistic and Geometric Depth: Detecting Objects in Perspective.

Tai Wang, Xinge Zhu, Jiangmiao Pang, Dahua Lin

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Understanding the wiring evolution in differentiable neural architecture search.

Sirui Xie, Shoukang Hu, Xinjiang Wang, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Joint Semantic-geometric Learning for Polygonal Building Segmentation.

Weijia Li, Wenqian Zhao, Huaping Zhong, Conghui He, Dahua Lin

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

Temporal ROI Align for Video Object Recognition.

Tao Gong, Kai Chen, Xinjiang Wang, Qi Chu, Feng Zhu, Dahua Lin, Nenghai Yu, Huamin Feng

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

2020

Parallel Multi-Environment Shaping Algorithm for Complex Multi-step Task.

Cong Ma, Zhizhong Li, Dahua Lin, Jiangshe Zhang

Neurocomputing, 2020

Temporal Action Detection with Structured Segment Networks.

Yue Zhao, Yuanjun Xiong, Limin Wang, Zhirong Wu, Xiaoou Tang, Dahua Lin

Int. J. Comput. Vis., 2020

Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation.

Hui Zhou, Xinge Zhu, Xiao Song, Yuexin Ma, Zhe Wang, Hongsheng Li, Dahua Lin

CoRR, 2020

Novel Policy Seeking with Constrained Optimization.

Hao Sun, Zhenghao Peng, Bo Dai, Jian Guo, Dahua Lin, Bolei Zhou

CoRR, 2020

Evolutionary Stochastic Policy Distillation.

Hao Sun, Xinyu Pan, Bo Dai, Dahua Lin, Bolei Zhou

CoRR, 2020

Feature Pyramid Grids.

Kai Chen, Yuhang Cao, Chen Change Loy, Dahua Lin, Christoph Feichtenhofer

CoRR, 2020

Regularizing Reasons for Outfit Evaluation with Gradient Penalty.

Xingxing Zou, Zhizhong Li, Ke Bai, Dahua Lin, Waikeung Wong

CoRR, 2020

FLAVA: Find, Localize, Adjust and Verify to Annotate LiDAR-based Point Clouds.

Tai Wang, Conghui He, Zhe Wang, Jianping Shi, Dahua Lin

Proceedings of the UIST '20 Adjunct: The 33rd Annual ACM Symposium on User Interface Software and Technology, 2020

Real or Not Real, that is the Question.

Yuanbo Xiangli, Yubin Deng, Bo Dai, Chen Change Loy, Dahua Lin

Proceedings of the 8th International Conference on Learning Representations, 2020

SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds.

Xinge Zhu, Yuexin Ma, Tai Wang, Yan Xu, Jianping Shi, Dahua Lin

Proceedings of the Computer Vision - ECCV 2020, 2020

Sep-Stereo: Visually Guided Stereophonic Audio Generation by Associating Source Separation.

Hang Zhou, Xudong Xu, Dahua Lin, Xiaogang Wang, Ziwei Liu

Proceedings of the Computer Vision - ECCV 2020, 2020

Learn to Propagate Reliably on Noisy Affinity Graphs.

Lei Yang, Qingqiu Huang, Huaiyi Huang, Linning Xu, Dahua Lin

Proceedings of the Computer Vision - ECCV 2020, 2020

Online Multi-modal Person Search in Videos.

Jiangyue Xia, Anyi Rao, Qingqiu Huang, Linning Xu, Jiangtao Wen, Dahua Lin

Proceedings of the Computer Vision - ECCV 2020, 2020

Distribution-Balanced Loss for Multi-label Classification in Long-Tailed Datasets.

Tong Wu, Qingqiu Huang, Ziwei Liu, Yu Wang, Dahua Lin

Proceedings of the Computer Vision - ECCV 2020, 2020

Side-Aware Boundary Localization for More Precise Object Detection.

Jiaqi Wang, Wenwei Zhang, Yuhang Cao, Kai Chen, Jiangmiao Pang, Tao Gong, Jianping Shi, Chen Change Loy, Dahua Lin

Proceedings of the Computer Vision - ECCV 2020, 2020

Motion Guided 3D Pose Estimation from Videos.

Jingbo Wang, Sijie Yan, Yuanjun Xiong, Dahua Lin

Proceedings of the Computer Vision - ECCV 2020, 2020

A Unified Framework for Shot Type Classification Based on Subject Centric Lens.

Anyi Rao, Jiaze Wang, Linning Xu, Xuekun Jiang, Qingqiu Huang, Bolei Zhou, Dahua Lin

Proceedings of the Computer Vision - ECCV 2020, 2020

Placepedia: Comprehensive Place Understanding with Multi-faceted Annotations.

Huaiyi Huang, Yuqi Zhang, Qingqiu Huang, Zhengkui Guo, Ziwei Liu, Dahua Lin

Proceedings of the Computer Vision - ECCV 2020, 2020

Caption-Supervised Face Recognition: Training a State-of-the-Art Face Model Without Manual Annotation.

Qingqiu Huang, Lei Yang, Huaiyi Huang, Tong Wu, Dahua Lin

Proceedings of the Computer Vision - ECCV 2020, 2020

MovieNet: A Holistic Dataset for Movie Understanding.

Qingqiu Huang, Yu Xiong, Anyi Rao, Jiaze Wang, Dahua Lin

Proceedings of the Computer Vision - ECCV 2020, 2020

Omni-Sourced Webly-Supervised Learning for Video Recognition.

Haodong Duan, Yue Zhao, Yuanjun Xiong, Wentao Liu, Dahua Lin

Proceedings of the Computer Vision - ECCV 2020, 2020

Self-Supervised Scene De-Occlusion.

Xiaohang Zhan, Xingang Pan, Bo Dai, Ziwei Liu, Dahua Lin, Chen Change Loy

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

Learning to Cluster Faces via Confidence and Connectivity Estimation.

Lei Yang, Dapeng Chen, Xiaohang Zhan, Rui Zhao, Chen Change Loy, Dahua Lin

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

FineGym: A Hierarchical Video Dataset for Fine-Grained Action Understanding.

Dian Shao, Yue Zhao, Bo Dai, Dahua Lin

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

Intra- and Inter-Action Understanding via Temporal Action Parsing.

Dian Shao, Yue Zhao, Bo Dai, Dahua Lin

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

A Local-to-Global Approach to Multi-Modal Movie Scene Segmentation.

Anyi Rao, Linning Xu, Yu Xiong, Guodong Xu, Qingqiu Huang, Bolei Zhou, Dahua Lin

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

DSNAS: Direct Neural Architecture Search Without Parameter Retraining.

Shoukang Hu, Sirui Xie, Hehui Zheng, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin

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

When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks.

Minghao Guo, Yuzhe Yang, Rui Xu, Ziwei Liu, Dahua Lin

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

Prime Sample Attention in Object Detection.

Yuhang Cao, Kai Chen, Chen Change Loy, Dahua Lin

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

Open Compound Domain Adaptation.

Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Dahua Lin, Stella X. Yu, Boqing Gong

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

Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds.

Tai Wang, Xinge Zhu, Dahua Lin

Proceedings of the 4th Conference on Robot Learning, 2020

Learning a Decision Module by Imitating Driver's Control Behaviors.

Junning Huang, Sirui Xie, Jiankai Sun, Gary Qiurui Ma, Chunxiao Liu, Dahua Lin, Bolei Zhou

Proceedings of the 4th Conference on Robot Learning, 2020

Fastened CROWN: Tightened Neural Network Robustness Certificates.

Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel

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

2019

Temporal Segment Networks for Action Recognition in Videos.

Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, Luc Van Gool

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

Learning Driving Decisions by Imitating Drivers' Control Behaviors.

Junning Huang, Sirui Xie, Jiankai Sun, Gary Qiurui Ma, Chunxiao Liu, Jianping Shi, Dahua Lin, Bolei Zhou

CoRR, 2019

Learning to Synthesize Fashion Textures.

Wu Shi, Tak-Wai Hui, Ziwei Liu, Dahua Lin, Chen Change Loy

CoRR, 2019

Biased Estimates of Advantages over Path Ensembles.

Lanxin Lei, Zhizhong Li, Dahua Lin

CoRR, 2019

Compound Domain Adaptation in an Open World.

Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Stella X. Yu, Dahua Lin, Boqing Gong

CoRR, 2019

MMDetection: Open MMLab Detection Toolbox and Benchmark.

Kai Chen, Jiaqi Wang, Jiangmiao Pang, Yuhang Cao, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jiarui Xu, Zheng Zhang, Dazhi Cheng, Chenchen Zhu, Tianheng Cheng, Qijie Zhao, Buyu Li, Xin Lu, Rui Zhu, Yue Wu, Jifeng Dai, Jingdong Wang, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin

CoRR, 2019

POPQORN: Quantifying Robustness of Recurrent Neural Networks.

Ching-Yun Ko, Zhaoyang Lyu, Tsui-Wei Weng, Luca Daniel, Ngai Wong, Dahua Lin

CoRR, 2019

Online Hyper-parameter Learning for Auto-Augmentation Strategy.

Chen Lin, Minghao Guo, Chuming Li, Wei Wu, Dahua Lin, Wanli Ouyang, Junjie Yan

CoRR, 2019

WIDER Face and Pedestrian Challenge 2018: Methods and Results.

Chen Change Loy, Dahua Lin, Wanli Ouyang, Yuanjun Xiong, Shuo Yang, Qingqiu Huang, Dongzhan Zhou, Wei Xia, Quanquan Li, Ping Luo, Junjie Yan, Jianfeng Wang, Zuoxin Li, Ye Yuan, Boxun Li, Shuai Shao, Gang Yu, Fangyun Wei, Xiang Ming, Dong Chen, Shifeng Zhang, Cheng Chi, Zhen Lei, Stan Z. Li, Hongkai Zhang, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen, Wu Liu, Boyan Zhou, Huaxiong Li, Peng Cheng, Tao Mei, Artem Kukharenko, Artem Vasenin, Nikolay Sergievskiy, Hua Yang, Liangqi Li, Qiling Xu, Yuan Hong, Lin Chen, Mingjun Sun, Yirong Mao, Shiying Luo, Yongjun Li, Ruiping Wang, Qiaokang Xie, Ziyang Wu, Lei Lu, Yiheng Liu, Wengang Zhou

CoRR, 2019

Policy Continuation with Hindsight Inverse Dynamics.

Hao Sun, Zhizhong Li, Xiaotong Liu, Bolei Zhou, Dahua Lin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

POPQORN: Quantifying Robustness of Recurrent Neural Networks.

Ching-Yun Ko, Zhaoyang Lyu, Lily Weng, Luca Daniel, Ngai Wong, Dahua Lin

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

Convolutional Sequence Generation for Skeleton-Based Action Synthesis.

Sijie Yan, Zhizhong Li, Yuanjun Xiong, Huahan Yan, Dahua Lin

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

Recursive Visual Sound Separation Using Minus-Plus Net.

Xudong Xu, Bo Dai, Dahua Lin

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

A Graph-Based Framework to Bridge Movies and Synopses.

Yu Xiong, Qingqiu Huang, Lingfeng Guo, Hang Zhou, Bolei Zhou, Dahua Lin

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

CARAFE: Content-Aware ReAssembly of FEatures.

Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin

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

Online Hyper-Parameter Learning for Auto-Augmentation Strategy.

Chen Lin, Minghao Guo, Chuming Li, Xin Yuan, Wei Wu, Junjie Yan, Dahua Lin, Wanli Ouyang

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

Adapting Object Detectors via Selective Cross-Domain Alignment.

Xinge Zhu, Jiangmiao Pang, Ceyuan Yang, Jianping Shi, Dahua Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Self-Supervised Learning via Conditional Motion Propagation.

Xiaohang Zhan, Xingang Pan, Ziwei Liu, Dahua Lin, Chen Change Loy

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning to Cluster Faces on an Affinity Graph.

Lei Yang, Xiaohang Zhan, Dapeng Chen, Junjie Yan, Chen Change Loy, Dahua Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Region Proposal by Guided Anchoring.

Jiaqi Wang, Kai Chen, Shuo Yang, Chen Change Loy, Dahua Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Libra R-CNN: Towards Balanced Learning for Object Detection.

Jiangmiao Pang, Kai Chen, Jianping Shi, Huajun Feng, Wanli Ouyang, Dahua Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning a Unified Classifier Incrementally via Rebalancing.

Saihui Hou, Xinyu Pan, Chen Change Loy, Zilei Wang, Dahua Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

IRLAS: Inverse Reinforcement Learning for Architecture Search.

Minghao Guo, Zhao Zhong, Wei Wu, Dahua Lin, Junjie Yan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Hybrid Task Cascade for Instance Segmentation.

Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Monocular 3D Pose Recovery via Nonconvex Sparsity with Theoretical Analysis.

Jianqiao Wangni, Dahua Lin, Ji Liu, Kostas Daniilidis, Jianbo Shi

CoRR, 2018

Improving On-policy Learning with Statistical Reward Accumulation.

Yubin Deng, Ke Yu, Dahua Lin, Xiaoou Tang, Chen Change Loy

CoRR, 2018

From Trailers to Storylines: An Efficient Way to Learn from Movies.

Qingqiu Huang, Yuanjun Xiong, Yu Xiong, Yuqi Zhang, Dahua Lin

CoRR, 2018

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination.

Zhirong Wu, Yuanjun Xiong, Stella X. Yu, Dahua Lin

CoRR, 2018

Trajectory Convolution for Action Recognition.

Yue Zhao, Yuanjun Xiong, Dahua Lin

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Neural Compositional Paradigm for Image Captioning.

Bo Dai, Sanja Fidler, Dahua Lin

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation.

Xinge Zhu, Hui Zhou, Ceyuan Yang, Jianping Shi, Dahua Lin

Proceedings of the Computer Vision - ECCV 2018, 2018

PSANet: Point-wise Spatial Attention Network for Scene Parsing.

Hengshuang Zhao, Yi Zhang, Shu Liu, Jianping Shi, Chen Change Loy, Dahua Lin, Jiaya Jia

Proceedings of the Computer Vision - ECCV 2018, 2018

Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition.

Xiaohang Zhan, Ziwei Liu, Junjie Yan, Dahua Lin, Chen Change Loy

Proceedings of the Computer Vision - ECCV 2018, 2018

Pose Guided Human Video Generation.

Ceyuan Yang, Zhe Wang, Xinge Zhu, Chen Huang, Jianping Shi, Dahua Lin

Proceedings of the Computer Vision - ECCV 2018, 2018

Move Forward and Tell: A Progressive Generator of Video Descriptions.

Yilei Xiong, Bo Dai, Dahua Lin

Proceedings of the Computer Vision - ECCV 2018, 2018

Find and Focus: Retrieve and Localize Video Events with Natural Language Queries.

Dian Shao, Yu Xiong, Yue Zhao, Qingqiu Huang, Yu Qiao, Dahua Lin

Proceedings of the Computer Vision - ECCV 2018, 2018

Person Search in Videos with One Portrait Through Visual and Temporal Links.

Qingqiu Huang, Wentao Liu, Dahua Lin

Proceedings of the Computer Vision - ECCV 2018, 2018

Lifelong Learning via Progressive Distillation and Retrospection.

Saihui Hou, Xinyu Pan, Chen Change Loy, Zilei Wang, Dahua Lin

Proceedings of the Computer Vision - ECCV 2018, 2018

Rethinking the Form of Latent States in Image Captioning.

Bo Dai, Deming Ye, Dahua Lin

Proceedings of the Computer Vision - ECCV 2018, 2018

Recognize Actions by Disentangling Components of Dynamics.

Yue Zhao, Yuanjun Xiong, Dahua Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Unsupervised Feature Learning via Non-Parametric Instance Discrimination.

Zhirong Wu, Yuanjun Xiong, Stella X. Yu, Dahua Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning Globally Optimized Object Detector via Policy Gradient.

Yongming Rao, Dahua Lin, Jiwen Lu, Jie Zhou

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Low-Latency Video Semantic Segmentation.

Yule Li, Jianping Shi, Dahua Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Unifying Identification and Context Learning for Person Recognition.

Qingqiu Huang, Yu Xiong, Dahua Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Optimizing Video Object Detection via a Scale-Time Lattice.

Kai Chen, Jiaqi Wang, Shuo Yang, Xingcheng Zhang, Yuanjun Xiong, Chen Change Loy, Dahua Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Accelerated Training for Massive Classification via Dynamic Class Selection.

Xingcheng Zhang, Lei Yang, Junjie Yan, Dahua Lin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition.

Sijie Yan, Yuanjun Xiong, Dahua Lin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Probabilistic Ensemble of Collaborative Filters.

Zhiyu Min, Dahua Lin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Generative Adversarial Frontal View to Bird View Synthesis.

Xinge Zhu, Zhichao Yin, Jianping Shi, Hongsheng Li, Dahua Lin

Proceedings of the 2018 International Conference on 3D Vision, 2018

2017

Peephole: Predicting Network Performance Before Training.

Boyang Deng, Junjie Yan, Dahua Lin

CoRR, 2017

Learning Sparse Visual Representations with Leaky Capped Norm Regularizers.

Jianqiao Wangni, Dahua Lin

CoRR, 2017

A Pursuit of Temporal Accuracy in General Activity Detection.

Yuanjun Xiong, Yue Zhao, Limin Wang, Dahua Lin, Xiaoou Tang

CoRR, 2017

Contrastive Learning for Image Captioning.

Bo Dai, Dahua Lin

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Scalable Estimation of Dirichlet Process Mixture Models on Distributed Data.

Ruohui Wang, Dahua Lin

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Integrating Specialized Classifiers Based on Continuous Time Markov Chain.

Zhizhong Li, Dahua Lin

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Be Your Own Prada: Fashion Synthesis with Structural Coherence.

Shizhan Zhu, Sanja Fidler, Raquel Urtasun, Dahua Lin, Chen Change Loy

Proceedings of the IEEE International Conference on Computer Vision, 2017

Towards Diverse and Natural Image Descriptions via a Conditional GAN.

Bo Dai, Sanja Fidler, Raquel Urtasun, Dahua Lin

Proceedings of the IEEE International Conference on Computer Vision, 2017

PolyNet: A Pursuit of Structural Diversity in Very Deep Networks.

Xingcheng Zhang, Zhizhong Li, Chen Change Loy, Dahua Lin

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

UntrimmedNets for Weakly Supervised Action Recognition and Detection.

Limin Wang, Yuanjun Xiong, Dahua Lin, Luc Van Gool

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Detecting Visual Relationships with Deep Relational Networks.

Bo Dai, Yuqi Zhang, Dahua Lin

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Discover and Learn New Objects from Documentaries.

Kai Chen, Hang Song, Chen Change Loy, Dahua Lin

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Joint Inference of Objects and Scenes With Efficient Learning of Text-Object-Scene Relations.

Botao Wang, Dahua Lin, Hongkai Xiong, Yuan F. Zheng

IEEE Trans. Multim., 2016

CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016.

Yuanjun Xiong, Limin Wang, Zhe Wang, Bowen Zhang, Hang Song, Wei Li, Dahua Lin, Yu Qiao, Luc Van Gool, Xiaoou Tang

CoRR, 2016

Deep Markov Random Field for Image Modeling.

Zhirong Wu, Dahua Lin, Xiaoou Tang

Proceedings of the Computer Vision - ECCV 2016, 2016

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition.

Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Adjustable Bounded Rectifiers: Towards Deep Binary Representations.

Zhirong Wu, Dahua Lin, Xiaoou Tang

CoRR, 2015

Generating Multi-Sentence Lingual Descriptions of Indoor Scenes.

Dahua Lin, Chen Kong, Sanja Fidler, Raquel Urtasun

CoRR, 2015

Recognize complex events from static images by fusing deep channels.

Yuanjun Xiong, Kai Zhu, Dahua Lin, Xiaoou Tang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Generating Multi-sentence Natural Language Descriptions of Indoor Scenes.

Dahua Lin, Sanja Fidler, Chen Kong, Raquel Urtasun

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Mining text snippets for images on the web.

Anitha Kannan, Simon Baker, Krishnan Ramnath, Juliet Fiss, Dahua Lin, Lucy Vanderwende, Rizwan Ansary, Ashish Kapoor, Qifa Ke, Matt Uyttendaele, Xin-Jing Wang, Lei Zhang

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Visual Semantic Search: Retrieving Videos via Complex Textual Queries.

Dahua Lin, Sanja Fidler, Chen Kong, Raquel Urtasun

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

What Are You Talking About? Text-to-Image Coreference.

Chen Kong, Dahua Lin, Mohit Bansal, Raquel Urtasun, Sanja Fidler

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation.

Dahua Lin

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Characterizing Layouts of Outdoor Scenes Using Spatial Topic Processes.

Dahua Lin, Jianxiong Xiao

Proceedings of the IEEE International Conference on Computer Vision, 2013

Holistic Scene Understanding for 3D Object Detection with RGBD Cameras.

Dahua Lin, Sanja Fidler, Raquel Urtasun

Proceedings of the IEEE International Conference on Computer Vision, 2013

Hidden Factor Analysis for Age Invariant Face Recognition.

Dihong Gong, Zhifeng Li, Dahua Lin, Jianzhuang Liu, Xiaoou Tang

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Generative modeling of dynamic visual scenes.

Dahua Lin

PhD thesis, 2012

Efficient Sampling from Combinatorial Space via Bridging.

Dahua Lin, John W. Fisher III

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Coupling Nonparametric Mixtures via Latent Dirichlet Processes.

Dahua Lin, John W. Fisher III

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

Learning Deformations with Parallel Transport.

Donglai Wei, Dahua Lin, John W. Fisher III

Proceedings of the Computer Vision - ECCV 2012, 2012

Low level vision via switchable Markov random fields.

Dahua Lin, John W. Fisher III

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Manifold guided composite of Markov random fields for image modeling.

Dahua Lin, John W. Fisher III

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2010

Construction of Dependent Dirichlet Processes based on Poisson Processes.

Dahua Lin, Eric Grimson, John W. Fisher III

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Joint People, Event, and Location Recognition in Personal Photo Collections Using Cross-Domain Context.

Dahua Lin, Ashish Kapoor, Gang Hua, Simon Baker

Proceedings of the Computer Vision, 2010

Modeling and estimating persistent motion with geometric flows.

Dahua Lin, Eric Grimson, John W. Fisher III

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Nonparametric Discriminant Analysis for Face Recognition.

Zhifeng Li, Dahua Lin, Xiaoou Tang

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Learning visual flows: A Lie algebraic approach.

Dahua Lin, W. Eric L. Grimson, John W. Fisher III

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2007

Quality-Driven Face Occlusion Detection and Recovery.

Dahua Lin, Xiaoou Tang

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Discriminant Mutual Subspace Learning for Indoor and Outdoor Face Recognition.

Zhifeng Li, Dahua Lin, Helen M. Meng, Xiaoou Tang

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Inter-modality Face Recognition.

Dahua Lin, Xiaoou Tang

Proceedings of the Computer Vision, 2006

Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion.

Dahua Lin, Xiaoou Tang

Proceedings of the Computer Vision, 2006

Pursuing Informative Projection on Grassmann Manifold.

Dahua Lin, Shuicheng Yan, Xiaoou Tang

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Recognize High Resolution Faces: From Macrocosm to Microcosm.

Dahua Lin, Xiaoou Tang

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005

Neighbor combination and transformation for hallucinating faces.

Wei Liu, Dahua Lin, Xiaoou Tang

Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

Face hallucination through dual associative learning.

Wei Liu, Dahua Lin, Xiaoou Tang

Proceedings of the 2005 International Conference on Image Processing, 2005

Comparative study: face recognition on unspecific persons using linear subspace methods.

Dahua Lin, Shuicheng Yan, Xiaoou Tang

Proceedings of the 2005 International Conference on Image Processing, 2005

Feedback-based dynamic generalized LDA for face recognition.

Dahua Lin, Shuicheng Yan, Xiaoou Tang

Proceedings of the 2005 International Conference on Image Processing, 2005

Tensor-based factor decomposition for relighting.

Dahua Lin, Yingqing Xu, Xiaoou Tang, Shuicheng Yan

Proceedings of the 2005 International Conference on Image Processing, 2005

Layered local prediction network with dynamic learning for face super-resolution.

Dahua Lin, Wei Liu, Xiaoou Tang

Proceedings of the 2005 International Conference on Image Processing, 2005

Coupled Space Learning for Image Style Transformation.

Dahua Lin, Xiaoou Tang

Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Hallucinating Faces: TensorPatch Super-Resolution and Coupled Residue Compensation.

Wei Liu, Dahua Lin, Xiaoou Tang

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Nonparametric Subspace Analysis for Face Recognition.

Zhifeng Li, Wei Liu, Dahua Lin, Xiaoou Tang

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005