| A survey on visual surveillance of object motion and behaviors W Hu, T Tan, L Wang, S Maybank Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE …, 2004 | 3239 | 2004 |
| Hierarchical recurrent neural network for skeleton based action recognition Y Du, W Wang, L Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 2482 | 2015 |
| Session-based recommendation with graph neural networks S Wu, Y Tang, Y Zhu, L Wang, X Xie, T Tan Proceedings of the AAAI Conference on Artificial Intelligence 33, 346-353, 2019 | 1769 | 2019 |
| Silhouette analysis-based gait recognition for human identification L Wang, T Tan, H Ning, W Hu Pattern Analysis and Machine Intelligence, IEEE Transactions on 25 (12 …, 2003 | 1598 | 2003 |
| Recent developments in human motion analysis L Wang, W Hu, T Tan Pattern recognition 36 (3), 585-601, 2003 | 1479 | 2003 |
| Focal and efficient IOU loss for accurate bounding box regression YF Zhang, W Ren, Z Zhang, Z Jia, L Wang, T Tan Neurocomputing 506, 146-157, 2022 | 1227 | 2022 |
| Graph contrastive learning with adaptive augmentation Y Zhu, Y Xu, F Yu, Q Liu, S Wu, L Wang Proceedings of the Web Conference 2021, 2069-2080, 2021 | 1118 | 2021 |
| Predicting the next location: A recurrent model with spatial and temporal contexts Q Liu, S Wu, L Wang, T Tan Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 1063 | 2016 |
| An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition C Si, W Chen, W Wang, L Wang, T Tan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 961 | 2019 |
| Deep Graph Contrastive Representation Learning Y Zhu, Y Xu, F Yu, Q Liu, S Wu, L Wang arXiv preprint arXiv:2006.04131, 2020 | 949 | 2020 |
| Recent advances and trends in visual tracking: A review H Yang, L Shao, F Zheng, L Wang, Z Song Neurocomputing 74 (18), 3823-3831, 2011 | 865 | 2011 |
| A comprehensive study on cross-view gait based human identification with deep cnns Z Wu, Y Huang, L Wang, X Wang, T Tan IEEE transactions on pattern analysis and machine intelligence 39 (2), 209-226, 2017 | 788 | 2017 |
| Deep semantic ranking based hashing for multi-label image retrieval F Zhao, Y Huang, L Wang, T Tan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 732 | 2015 |
| Mask-Guided Contrastive Attention Model for Person Re-Identification C Song, Y Huang, W Ouyang, L Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 710 | 2018 |
| Fusion of static and dynamic body biometrics for gait recognition L Wang, H Ning, T Tan, W Hu Circuits and Systems for Video Technology, IEEE Transactions on 14 (2), 149-158, 2004 | 589 | 2004 |
| Fusion of static and dynamic body biometrics for gait recognition L Wang, H Ning, T Tan, W Hu Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on …, 2003 | 589 | 2003 |
| A dynamic recurrent model for next basket recommendation F Yu, Q Liu, S Wu, L Wang, T Tan Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016 | 579 | 2016 |
| Generalized Autoencoder: A Neural Network Framework for Dimensionality Reduction W Wang, Y Huang, Y Wang, L Wang Computer Vision and Pattern Recognition Workshops (CVPRW), 2014 IEEE …, 2014 | 529 | 2014 |
| Look and think twice: Capturing top-down visual attention with feedback convolutional neural networks C Cao, X Liu, Y Yang, Y Yu, J Wang, Z Wang, Y Huang, L Wang, C Huang, ... Proceedings of the IEEE International Conference on Computer Vision, 2956-2964, 2015 | 517 | 2015 |
| Automatic gait recognition based on statistical shape analysis L Wang, T Tan, W Hu, H Ning Image Processing, IEEE Transactions on 12 (9), 1120-1131, 2003 | 500 | 2003 |
Yan HuangInstitute of Automation, Chinese Academy of Sciencesnlpr.ia.ac.cn의 이메일 확인됨