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• Y. Zhao, Y. Xiong, L. Wang, Z. Wu, X. Tang, and D. Lin
  Temporal Action Detection with Structured Segment Networks
  in IEEE International Conference on Computer Vision (ICCV), 2017.
  [ Paper ] [ BibTex ] [ Project Page ] [ Code ]
• L. Wang, Y. Xiong, D. Lin, and L. Van Gool
  UntrimmedNets for Weakly Supervised Action Recognition and Detection
  in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
  [ Paper ] [ BibTex ] [ Poster ] [ Code ]
• J. Song, L. Wang, L. Van Gool, and O. Hilliges
  Thin-Slicing Network: A Deep Structural Model for Human Pose Estimation in Videos ( oral presentation )
  in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
  [ Paper ] [ BibTex ] [ Project Page ]
• L. Wang, Y. Xiong, Z. Wang, Y. Qiao, D. Lin, X. Tang, and L. Van Gool
  Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
  in European Conference on Computer Vision (ECCV), 2016.
  major contribution to the winner solution of ActivityNet challenge 2016
  [ Paper ] [ BibTex ] [ Poster ] [ Code ]
• L. Wang, Y. Qiao, X. Tang, and L. Van Gool
  Actionness Estimation Using Hybrid Fully Convolutional Networks
  in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
  [ Paper ] [ BibTex ] [ Poster ] [ Project Page ] [ Code ]
• B. Zhang, L. Wang, Z. Wang, Y. Qiao, and H. Wang
  Real-time Action Recognition with Enhanced Motion Vector CNNs
  in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
  [ Paper ] [ BibTex ] [ Poster ] [ Project Page ] [ Code ]
• L. Wang, Y. Qiao, and X. Tang
  Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors
  in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
  [ Paper ] [ BibTex ] [ Poster ] [ Extended Abstract ] [ Project Page ] [ Code ]
• L. Wang, Y. Qiao, and X. Tang
  Video Action Detection with Relational Dynamic-Poselets
  in European Conference on Computer Vision (ECCV), 2014.
  [ Paper ] [ BibTex ] [ Poster ] [ Spotlight ] [ Code ]
• Z. Cai, L. Wang, X. Peng, and Y. Qiao
  Multi-View Super Vector for Action Recognition ( oral presentation )
  in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
  [ Paper ] [ BibTex ] [ Video Spotlight ] [ Oral Presentation ] [ Poster ] [ Supplement ] [ Code ]
• X. Peng*, L. Wang*, Y. Qiao, and Q. Peng (* indicates equal contribution)
  Boosting VLAD with Supervised Dictionary Learning and High-Order Statistics
  in European Conference on Computer Vision (ECCV), 2014.
  [ Paper ] [ BibTex ]
• L. Wang, Y. Qiao, and X. Tang
  Mining Motion Atoms and Phrases for Complex Action Recognition
  in IEEE International Conference on Computer Vision (ICCV), 2013.
  [ Paper ] [ BibTex ] [ Poster ] [ Spotlight ] [ Project Page ]
• L. Wang, Y. Qiao, and X. Tang
  Motionlets: Mid-Level 3D Parts for Human Motion Recognition
  in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
  [ Paper ] [ BibTex ] [ Poster ] [ Spotlight ] [ Project Page ]

• H. Zhang, Y. Liu, Y. Wang, L. Wang, Y Qiao
  Learning Discriminative Feature Representation for Open Set Action Recognition
  in ACM Multimedia Conference (ACM MM), 2023
  [ Paper ] [ Code ]
• Y. Feng, Z. Zhang, R. Quan, L. Wang, J Qin
  RefineTAD: Learning Proposal-free Refinement for Temporal Action Detection (Best Paper Honorable Mention Award)
  in ACM Multimedia Conference (ACM MM), 2023
  [ Paper ] [ Code ]
• J. Yang, S. Guo, G. Wu, L. Wang
  CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets
  in AAAI Conference on Artificial Intelligence (AAAI), 2023
  [ Paper ] [ Code ]
• G. Chen, Y. Zhen, L. Wang, and T. Lu
  DCAN: Improving Temporal Action Detection via Dual Context Aggregation
  in AAAI Conference on Artificial Intelligence (AAAI), 2022
  [ Paper ] [ Code ]
• Z. Wang, L. Wang, T. Wu, T. Li, and G. Wu
  Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
  in AAAI Conference on Artificial Intelligence (AAAI), 2022
  [ Paper ] [ Code ]
• Z. Zhu, L. Wang, S. Guo, and G. Wu
  A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark
  in British Machine Vision Conference (BMVC), 2021.
  [ Paper ] [ Code ]
• Z. Liu, D. Luo, Y. Wang, L. Wang, Y. Tai, C. Wang, J. Li, F. Huang, T. Lu
  TEINet: Towards an Efficient Architecture for Video Recognition
  in AAAI Conference on Artificial Intelligence (AAAI), 2020
  [ Paper ] [ BibTex ]
• S. Zhang, S. Guo, L. Wang, W. Huang, M. Scott
  Knowledge Integration Networks for Action Recognition
  in AAAI Conference on Artificial Intelligence (AAAI), 2020
  [ Paper ] [ BibTex ]
• Y. Li, W. Lin, T. Wang, J. See, R. Qian, N. Xu, L. Wang, S. Xu
  Finding Action Tubes with a Sparse-to-Dense Framework
  in AAAI Conference on Artificial Intelligence (AAAI), 2020
  [ Paper ] [ BibTex ]
• Y. Yao, Z. Sun, F. Shen, L. Liu, L. Wang, F. Zhu, L. Ding, G. Wu, L. Shao
  Dynamically Visual Disambiguation of Keyword-based Image Search
  in International Joint Conference on Artificial Intelligence (IJCAI), 2019
  [ Paper ] [ BibTex ]
• D. He, Z. Zhou, C. Gan, F. Li, X. Liu, Y. Li, L. Wang, S. Wen
  StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
  in AAAI Conference on Artificial Intelligence (AAAI), 2019
  [ Paper ] [ BibTex ]
• Z. Wang, X. Liu, L. Chen, L. Wang, Y. Qiao, X. Xie, and C. Fowlkes
  Structed Triplets Learning with Pos-tag Guided Attention for Visual Question Answering
  in IEEE Winter Conference on Applications of Computer Vision (WACV), 2018.
  [ Paper ] [ BibTex ]
• Y. Wang, J. Song, L. Wang, L. Van Gool, and O. Hilliges
  Two-Stream SR-CNNs for Action Recognition in Videos
  in British Machine Vision Conference (BMVC), 2016.
  [ Paper ] [ BibTex ]
• Z. Wang, Y. Wang, L. Wang, and Y. Qiao
  Codebook Enhancement of VLAD Representation for Visual Recognition
  in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016.
  [ Paper ] [ BibTex ]
• X. Peng, L. Wang, Y. Qiao, and Q. Peng
  A Joint Evaluation of Dictionary Learning and Feature Encoding for Action Recognition
  in International Conference on Pattern Recognition (ICPR), 2014.
  [ Paper ] [ BibTex ]
• X. Wang, L. Wang, and Y. Qiao
  A Comparative Study of Encoding, Pooling and Normalization Methods for Action Recognition
  in Asian Conference on Computer Vision (ACCV), 2012.
  [ Paper ] [ BibTex ] [ Poster ] [ Spotlight ]
• L. Wang, Y. Wu, T. Lu, and K. Chen
  Multiclass Object Detection by Combining Local Appearances and Context
  in ACM International Conference on Multimedia (ACM MM), 2011.
  [ Paper ] [ BibTex ]
• L. Wang, Y. Wu, Z. Tian, Z. Sun, and T. Lu
  A Novel Approach for Robust Surveillance Video Content Abstraction
  in Pacific-Rim Conference on Multimedia (PCM), 2010.
  [ Paper ] [ BibTex ]

• Y. Xiong, L. Wang, Z. Wang, B. Zhang, H. Song, W. Li, D. Lin, Y. Qiao, L. Van Gool, and X. Tang
  CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016 ( rank 1st place )
  in ActivityNet Large Scale Activity Recognition Challenge, CVPR, 2016.
  [ Paper ] [ BibTex] [ Presentation ]
  
• L. Wang, Z. Wang, S. Guo, and Y. Qiao
  Better Exploiting OS-CNNs for Better Event Recognition in Images
  in ChaLearn Looking at People (LAP) Challenge, ICCV, 2015.
  [ Paper ] [ BibTex ] [ Presentation ] [ Project Page ]
• L. Wang, Z. Wang, Y. Xiong, and Y. Qiao
  CUHK&SIAT Submission for THUMOS15 Action Recognition Challenge
  in THUMOS'15 Action Recognition Challenge, CVPR, 2015.
  [ Paper ] [ BibTex ] [ Presentation ]
  
• L. Wang, Z. Wang, W. Du, and Y. Qiao
  Object-Scene Convolutional Neural Networks for Event Recognition in Images ( rank 1st place )
  in ChaLearn Looking at People (LAP) Challenge, CVPR, 2015.
  [ Paper ] [ BibTex ] [ Presentation ] [ Project Page ]
  
• Z. Wang, L. Wang, W. Du, and Y. Qiao
  Exploring Fisher Vector and Deep Networks for Action Spotting ( rank 1st place )
  in ChaLearn Looking at People (LAP) Challenge, CVPR, 2015.
  [ Paper ] [ BibTex ] [ Presentation ]
  
• L. Wang, Y. Qiao, and X. Tang
  Action Recognition and Detection by Combining Motion and Appearance Features,
  in THUMOS'14 Action Recognition Challenge, ECCV, 2014.
  [ Paper ] [ BibTex ] [ Presentation ]
• X. Peng, L. Wang, Z. Cai, and Y. Qiao
  Action and Gesture Temporal Spotting with Super Vector Representation ( rank 1st place )
  in ChaLearn Looking at People (LAP) Challenge, ECCV, 2014.
  [ Paper ] [ BibTex ] [ Presentation ]
• X. Peng, L. Wang, Z. Cai, and Y. Qiao,
  Hybrid Super Vector with Improved Dense Trajectories for Action Recognition,
  in THUMOS'13 Action Recognition Challenge, ICCV, 2013.
  [ Paper ] [ BibTex ]