Lin, Dahua

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Yan, S., Xiong, Y., & Lin, D. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 5,410

Unsupervised Feature Learning via Non-parametric Instance Discrimination

Wu, Z., Xiong, Y., Yu, S. X., & Lin, D. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot LearningAdvanced Image and Video Retrieval Techniques

Cited by 3,664

MMDetection: Open MMLab Detection Toolbox and Benchmark

Chen, K., Wang, J., Pang, J., Cao, Y., Xiong, Y., Li, X., Sun, S., Feng, W., Liu, Z., Xu, J., et al. (2019) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,227

Hybrid Task Cascade for Instance Segmentation

Chen, K., Pang, J., Wang, J., Xiong, Y., Li, X., Sun, S., Feng, W., Liu, Z., Shi, J., Ouyang, W., et al. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 1,587

Learning a Unified Classifier Incrementally via Rebalancing

Hou, S., Pan, X., Loy, C. C., Wang, Z., & Lin, D. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 1,195

Temporal Action Detection with Structured Segment Networks

Zhao, Y., Xiong, Y., Wang, L., Wu, Z., Tang, X., & Lin, D. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 892

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

Wang, T., Zhu, X., Pang, J., & Lin, D. (2021) · 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 683

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

Wang, T., Zhu, X., Pang, J., & Lin, D. (2021) · arXiv

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 683

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

Liu, Y., Duan, H., Zhang, Y., Li, B., Zhang, S., Zhao, W., Yuan, Y., Wang, J., He, C., Liu, Z., et al. (2025) · Lecture Notes in Computer Science

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 668

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

Liu, Y., Duan, H., Zhang, Y., Li, B., Zhang, S., Zhao, W., Yuan, Y., Wang, J., He, C., Liu, Z., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 487

VBench: Comprehensive Benchmark Suite for Video Generative Models

Huang, Z., He, Y., Yu, J., Zhang, F., Si, C., Jiang, Y., Zhang, Y., Wu, T., Jin, Q., Chanpaisit, N., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 407

Adapting Object Detectors via Selective Cross-Domain Alignment

Zhu, X., Pang, J., Yang, C., Shi, J., & Lin, D. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 387

Holistic Scene Understanding for 3D Object Detection with RGBD Cameras

Lin, D., Fidler, S., & Urtasun, R. (2013) · 2013 IEEE International Conference on Computer Vision

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 253

Lifelong Learning via Progressive Distillation and Retrospection

Hou, S., Pan, X., Loy, C. C., Wang, Z., & Lin, D. (2018) · Lecture Notes in Computer Science

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 190

Learning to cluster faces on an affinity graph

Yang, L., Zhan, X., Chen, D., Yan, J., Loy, C. C., & Lin, D. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Face recognition and analysisFace and Expression Recognition

Cited by 142

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

Zhu, X., Ma, Y., Wang, T., Xu, Y., Shi, J., & Lin, D. (2020) · Lecture Notes in Computer Science

3D Shape Modeling and AnalysisAdvanced Neural Network Applications

Cited by 119

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

Guo, Y., Yang, C., Rao, A., Liang, Z., Wang, Y., Qiao, Y., Agrawala, M., Lin, D., & Dai, B. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 119

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

Chen, L., Li, J., Dong, X., Zhang, P., Zang, Y., Chen, Z., Duan, H., Wang, J., Qiao, Y., Lin, D., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 108

VLMEvalKit: An Open-Source ToolKit for Evaluating Large Multi-Modality Models

Duan, H., Yang, J., Qiao, Y., Fang, X., Chen, L., Liu, Y., Dong, X., Zang, Y., Zhang, P., Wang, J., et al. (2024) · Proceedings of the 32nd ACM International Conference on Multimedia

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 95

ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs

Zhuo, J., Zhang, S., Fang, X., Duan, H., Lin, D., & Chen, K. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Topic ModelingNatural Language Processing Techniques

Cited by 78

ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs

Zhuo, J., Zhang, S., Fang, X., Duan, H., Lin, D., & Chen, K. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 78

T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step

Chen, Z., Du, W., Zhang, W., Liu, K., Liu, J., Zheng, M., Zhuo, J., Zhang, S., Lin, D., Chen, K., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 32

InternLM2 Technical Report

Cai, Z., Cao, M., Chen, H., Chen, K., Chen, K., Chen, X., Chen, X., Chen, Z., Chen, Z., Chu, P., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 30

SAM2LONG: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree

Ding, S., Qian, R., Dong, X., Zhang, P., Zang, Y., Cao, Y., Guo, Y., Lin, D., & Wang, J. (2025) · 2025 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 19