Di Lin

According to our database, Di Lin authored at least 75 papers between 2014 and 2026.

Collaborative distances:

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

2026

Causal Inference via Style Bias Deconfounding for Domain Generalization.

Jiaxi Li, Di Lin, Hao Chen, Hongying Liu, Liang Wan, Wei Feng

IEEE Trans. Pattern Anal. Mach. Intell., May, 2026

Time-Variant Image Inpainting via Interactive Distribution Transition Estimation.

Yun Xing, Qing Guo, Xiaoguang Li, Yihao Huang, Xiaofeng Cao, Luqi Gong, Di Lin, Ivor W. Tsang, Lei Ma

IEEE Trans. Image Process., 2026

Firing Bits Where It Matters: Spiking-Guided Just Recognizable Distortion Modeling for Machine-Centric Video Coding.

Wuyuan Xie, Zhenming Li, Yuwu Lu, Di Lin, Yun Song, Miaohui Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Exploiting Geometric Structures for Modeling Multi-Agent Behaviors: A New Thinking.

Bohao Qu, Xiaofeng Cao, Bing Li, Menglin Zhang, Tuan-Anh Vu, Di Lin, Qing Guo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

FreeMem: Enhancing Consistency in Long Video Generation via Tuning-Free Memory.

Jibin Peng, Di Lin, Zhecheng Xu, Haoran Lu, Ruonan Liu, Wuyuan Xie, Miaohui Wang, Lingyu Liang, Yi Wang, Qing Guo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

CorrectAD: A Self-Correcting Agentic System to Improve End-to-end Planning in Autonomous Driving.

Enhui Ma, Lijun Zhou, Tao Tang, Jiahuan Zhang, Junpeng Jiang, Zhan Zhang, Dong Han, Kun Zhan, Xueyang Zhang, Xianpeng Lang, Haiyang Sun, Xia Zhou, Di Lin, Kaicheng Yu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

HRC-Net: Learning Visual Hypothesis, Representative, and Collaboration for Multi-Domain Image Inpainting.

Xin Wang, Di Lin, Wanchao Su, Ji Du, Renjie Zhang, Jie Zhang, Haotian Dong, Ke Xu, Qing Guo, Ping Li

ACM Trans. Graph., December, 2025

Causal Counterfactual Faithfulness Generation for Open-Set Fault Diagnosis of Complex Industrial Processes.

Ruonan Liu, Puyuan Hu, Siheng Zhao, Di Lin, Weidong Zhang, Steven X. Ding

IEEE Trans. Ind. Informatics, December, 2025

Temporal-Interim Pose Synthesis and Distillation for Dynamic Human Pose Estimation.

Renjie Zhang, Di Lin, Xin Wang, Ruonan Liu, Bin Sheng, George Baciu, C. L. Philip Chen, Ping Li

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

Point-to-Set Metric-Gated Mixture of Experts for Multisource Domain Adaptation Fault Diagnosis.

Boyuan Yang, Jinyuan Zhang, Ruonan Liu, Di Lin, Ping Li, C. L. Philip Chen

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

Time-variant Image Inpainting via Interactive Distribution Transition Estimation.

Yun Xing, Qing Guo, Xiaohong Li, Yihao Huang, Xiaofeng Cao, Di Lin, Ivor W. Tsang, Lei Ma

CoRR, June, 2025

Light as Deception: GPT-driven Natural Relighting Against Vision-Language Pre-training Models.

Ying Yang, Jie Zhang, Xiao Lv, Di Lin, Tao Xiang, Qing Guo

CoRR, May, 2025

EfficientDeRain+: Learning Uncertainty-Aware Filtering via RainMix Augmentation for High-Efficiency Deraining.

Qing Guo, Hua Qi, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Di Lin, Wei Feng, Song Wang

Int. J. Comput. Vis., April, 2025

Visibility-Uncertainty-guided 3D Gaussian Inpainting via Scene Conceptional Learning.

Mingxuan Cui, Qing Guo, Yuyi Wang, Hongkai Yu, Di Lin, Qin Zou, Ming-Ming Cheng, Xi Li

CoRR, April, 2025

Casual Inference via Style Bias Deconfounding for Domain Generalization.

Jiaxi Li, Di Lin, Hao Chen, Hongying Liu, Liang Wan, Wei Feng

CoRR, March, 2025

Causal Disentangled Graph Neural Network for Fault Diagnosis of Complex Industrial Process.

Ruonan Liu, Quanhu Zhang, Di Lin, Weidong Zhang, Steven X. Ding

IEEE Trans. Ind. Informatics, January, 2025

Accurate-PGNet: Learning to Assemble Perceptual Body Parts for Accurate Human Skeleton Establishment.

Renjie Zhang, Di Lin, Xin Wang, George Baciu, C. L. Philip Chen, Ping Li

IEEE Trans. Multim., 2025

CarveNet: Carving Point-Block for Complex 3D Shape Completion.

Qing Guo, Zhijie Wang, Lubo Wang, Haotian Dong, Felix Juefei-Xu, Di Lin, Lei Ma, Wei Feng, Yang Liu

IEEE Trans. Multim., 2025

CVLN-Think: Causal Inference with Counterfactual Style Adaptation for Continuous Vision-and-Language Navigation.

Ruonan Liu, Shuai Wu, Di Lin, Weidong Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

PhysGCN-DL: Physics-Informed Graph Convolutional Networks with Diversity-Aware Loss Optimization for Multimodal Pedestrian Trajectory Prediction.

Zihan Jiang, Ruonan Liu, Yibo Zhou, Haibo Lu, BoYuan Yang, Di Lin, Weidong Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Causal Regularization Graph Attention Network for Stable Variables Decoupling and Fault Diagnosis of Complex Industrial Processes.

Ruonan Liu, Puyuan Hu, Siheng Zhao, Shifei Ma, Di Lin, Weidong Zhang

Proceedings of the 23rd IEEE International Conference on Industrial Informatics, 2025

Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving.

Kairui Yang, Zihao Guo, Gengjie Lin, Haotian Dong, Zhao Huang, Yipeng Wu, Die Zuo, Jibin Peng, Ziyuan Zhong, Xin Wang, Qing Guo, Xiaosong Jia, Junchi Yan, Di Lin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

NoiseController: Towards Consistent Multi-View Video Generation via Noise Decomposition and Collaboration.

Haotian Dong, Xin Wang, Di Lin, Yipeng Wu, Qin Chen, Ruonan Liu, Kairui Yang, Ping Li, Qing Guo

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

Generative Hard Example Augmentation for Semantic Point Cloud Segmentation.

Qi Zhang, Jibin Peng, Zhao Huang, Wei Feng, Di Lin

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

SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments.

Yue Cao, Yun Xing, Jie Zhang, Di Lin, Tianwei Zhang, Ivor W. Tsang, Yang Liu, Qing Guo

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

mmFAS: Multimodal Face Anti-Spoofing Using Multi-Level Alignment and Switch-Attention Fusion.

Geng Chen, Wuyuan Xie, Di Lin, Ye Liu, Miaohui Wang

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

2024

Sign language translation with hierarchical memorized context in question answering scenarios.

Liqing Gao, Wei Feng, Peng Shi, Ruize Han, Di Lin, Liang Wang

Neural Comput. Appl., July, 2024

Intelligent Bearing Anomaly Detection for Industrial Internet of Things Based on Auto-Encoder Wasserstein Generative Adversarial Network.

Ruonan Liu, Dong Xiao, Di Lin, Weidong Zhang

IEEE Internet Things J., July, 2024

Non-iterative scribble-supervised learning with pacing pseudo-masks for medical image segmentation.

Zefan Yang, Di Lin, Dong Ni, Yi Wang

Expert Syst. Appl., March, 2024

Causal intervention graph neural network for fault diagnosis of complex industrial processes.

Ruonan Liu, Quanhu Zhang, Di Lin, Weidong Zhang, Steven X. Ding

Reliab. Eng. Syst. Saf., 2024

Information-based Gradient enhanced Causal Learning Graph Neural Network for fault diagnosis of complex industrial processes.

Ruonan Liu, Yunfei Xie, Di Lin, Weidong Zhang, Steven X. Ding

Reliab. Eng. Syst. Saf., 2024

Recurrent feature propagation and edge skip-connections for automatic abdominal organ segmentation.

Zefan Yang, Di Lin, Dong Ni, Yi Wang

Expert Syst. Appl., 2024

Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation.

Enhui Ma, Lijun Zhou, Tao Tang, Zhan Zhang, Dong Han, Junpeng Jiang, Kun Zhan, Peng Jia, Xianpeng Lang, Haiyang Sun, Di Lin, Kaicheng Yu

CoRR, 2024

Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion.

Lubo Wang, Di Lin, Kairui Yang, Ruonan Liu, Qing Guo, Wuyuan Xie, Miaohui Wang, Lingyu Liang, Yi Wang, Ping Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Sim2Real-Fire: A Multi-modal Simulation Dataset for Forecast and Backtracking of Real-world Forest Fire.

Yanzhi Li, Keqiu Li, Li Guohui, Zumin Wang, Changqing Ji, Lubo Wang, Die Zuo, Qing Guo, Feng Zhang, Manyu Wang, Di Lin

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks.

Jianlang Chen, Xuhong Ren, Qing Guo, Felix Juefei-Xu, Di Lin, Wei Feng, Lei Ma, Jianjun Zhao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

msLPCC: A Multimodal-Driven Scalable Framework for Deep LiDAR Point Cloud Compression.

Miaohui Wang, Runnan Huang, Hengjin Dong, Di Lin, Yun Song, Wuyuan Xie

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

2023

Surface Geometry Processing: An Efficient Normal-Based Detail Representation.

Wuyuan Xie, Miaohui Wang, Di Lin, Boxin Shi, Jianmin Jiang

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

Phase-based fine-grained change detection.

Xuzhi Wang, Liang Wan, Di Lin, Wei Feng

Expert Syst. Appl., October, 2023

Tampering localization and self-recovery using block labeling and adaptive significance.

Qiyuan Zhang, Xiaochen Yuan, Tong Liu, Chan-Tong Lam, Guoheng Huang, Di Lin, Ping Li

Expert Syst. Appl., September, 2023

GAN-based pencil drawing learning system for art education on large-scale image datasets with learning analytics.

Yuxi Jin, Ping Li, Wenxiao Wang, Suiyun Zhang, Di Lin, Chengjiu Yin

Interact. Learn. Environ., July, 2023

Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis.

Yu Wang, Ruonan Liu, Di Lin, Dongyue Chen, Ping Li, Qinghua Hu, C. L. Philip Chen

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

TAGNet: Learning Configurable Context Pathways for Semantic Segmentation.

Di Lin, Dingguo Shen, Yuanfeng Ji, Siting Shen, Mingrui Xie, Wei Feng, Hui Huang

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

Natural-language-driven Simulation Benchmark and Copilot for Efficient Production of Object Interactions in Virtual Road Scenes.

Kairui Yang, Zihao Guo, Gengjie Lin, Haotian Dong, Die Zuo, Jibin Peng, Zhao Huang, Zhecheng Xu, Fupeng Li, Ziyun Bai, Di Lin

CoRR, 2023

BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout.

Kairui Yang, Enhui Ma, Jibin Peng, Qing Guo, Di Lin, Kaicheng Yu

CoRR, 2023

On the Robustness of Segment Anything.

Yihao Huang, Yue Cao, Tianlin Li, Felix Juefei-Xu, Di Lin, Ivor W. Tsang, Yang Liu, Qing Guo

CoRR, 2023

Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation.

Tingliang Feng, Hao Shi, Xueyang Liu, Wei Feng, Liang Wan, Yanlin Zhou, Di Lin

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

Leveraging Inpainting for Single-Image Shadow Removal.

Xiaoguang Li, Qing Guo, Rabab Abdelfattah, Di Lin, Wei Feng, Ivor W. Tsang, Song Wang

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

CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion.

Haotian Dong, Enhui Ma, Lubo Wang, Miaohui Wang, Wuyuan Xie, Qing Guo, Ping Li, Lingyu Liang, Kairui Yang, Di Lin

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

2022

Deep LSAC for Fine-Grained Recognition.

Di Lin, Yi Wang, Lingyu Liang, Ping Li, C. L. Philip Chen

IEEE Trans. Neural Networks Learn. Syst., 2022

Fast and robust active camera relocalization in the wild for fine-grained change detection.

Qian Zhang, Wei Feng, Yi-Bo Shi, Di Lin

Neurocomputing, 2022

Uncertainty-Aware Cascaded Dilation Filtering for High-Efficiency Deraining.

Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Di Lin, Wei Feng, Song Wang

CoRR, 2022

Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation.

Zefan Yang, Di Lin, Yi Wang

CoRR, 2022

Generative Status Estimation and Information Decoupling for Image Rain Removal.

Di Lin, Xin Wang, Jia Shen, Renjie Zhang, Ruonan Liu, Miaohui Wang, Wuyuan Xie, Qing Guo, Ping Li

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

Cross-Image Context for Single Image Inpainting.

Tingliang Feng, Wei Feng, Weiqi Li, Di Lin

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

MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpainting.

Xiaoguang Li, Qing Guo, Di Lin, Ping Li, Wei Feng, Song Wang

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

2021

CarveNet: Carving Point-Block for Complex 3D Shape Completion.

Qing Guo, Zhijie Wang, Felix Juefei-Xu, Di Lin, Lei Ma, Wei Feng, Yang Liu

CoRR, 2021

Reciprocal Learning for Semi-supervised Segmentation.

Xiangyun Zeng, Rian Huang, Yuming Zhong, Dong Sun, Chu Han, Di Lin, Dong Ni, Yi Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

SCN: Switchable Context Network for Semantic Segmentation of RGB-D Images.

Di Lin, Ruimao Zhang, Yuanfeng Ji, Ping Li, Hui Huang

IEEE Trans. Cybern., 2020

Zig-Zag Network for Semantic Segmentation of RGB-D Images.

Di Lin, Hui Huang

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

RANet: Region Attention Network for Semantic Segmentation.

Dingguo Shen, Yuanfeng Ji, Ping Li, Yi Wang, Di Lin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

SAGNet: structure-aware generative network for 3D-shape modeling.

Zhijie Wu, Xiang Wang, Di Lin, Dani Lischinski, Daniel Cohen-Or, Hui Huang

ACM Trans. Graph., 2019

Multiview-coherent disocclusion synthesis using connected regions optimization.

Ping Li, Yuxi Jin, Bin Sheng, Di Lin, Yongwei Nie, Enhua Wu

Comput. Animat. Virtual Worlds, 2019

PRSNet: Part Relation and Selection Network for Bone Age Assessment.

Yuanfeng Ji, Hao Chen, Dan Lin, Xiaohua Wu, Di Lin

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

ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation.

Di Lin, Dingguo Shen, Siting Shen, Yuanfeng Ji, Dani Lischinski, Daniel Cohen-Or, Hui Huang

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

2018

Semantic object reconstruction via casual handheld scanning.

Ruizhen Hu, Cheng Wen, Oliver van Kaick, Luanmin Chen, Di Lin, Daniel Cohen-Or, Hui Huang

ACM Trans. Graph., 2018

Structure-aware Generative Network for 3D-Shape Modeling.

Zhijie Wu, Xiang Wang, Di Lin, Dani Lischinski, Daniel Cohen-Or, Hui Huang

CoRR, 2018

Multi-scale Context Intertwining for Semantic Segmentation.

Di Lin, Yuanfeng Ji, Dani Lischinski, Daniel Cohen-Or, Hui Huang

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

RSCM: Region Selection and Concurrency Model for Multi-Class Weather Recognition.

Di Lin, Cewu Lu, Hui Huang, Jiaya Jia

IEEE Trans. Image Process., 2017

Learning to Aggregate Ordinal Labels by Maximizing Separating Width.

Guangyong Chen, Shengyu Zhang, Di Lin, Hui Huang, Pheng-Ann Heng

Proceedings of the 34th International Conference on Machine Learning, 2017

Cascaded Feature Network for Semantic Segmentation of RGB-D Images.

Di Lin, Guangyong Chen, Daniel Cohen-Or, Pheng-Ann Heng, Hui Huang

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation.

Di Lin, Jifeng Dai, Jiaya Jia, Kaiming He, Jian Sun

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Deep LAC: Deep localization, alignment and classification for fine-grained recognition.

Di Lin, Xiaoyong Shen, Cewu Lu, Jiaya Jia

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

2014

Two-Class Weather Classification.

Cewu Lu, Di Lin, Jiaya Jia, Chi-Keung Tang

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

Learning Important Spatial Pooling Regions for Scene Classification.

Di Lin, Cewu Lu, Renjie Liao, Jiaya Jia

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