| 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 | 2123 | 2015 |
| 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/CVF conference on computer vision and pattern …, 2019 | 727 | 2019 |
| Generalized autoencoder: A neural network framework for dimensionality reduction W Wang, Y Huang, Y Wang, L Wang Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 416 | 2014 |
| See the forest for the trees: Joint spatial and temporal recurrent neural networks for video-based person re-identification Z Zhou, Y Huang, W Wang, L Wang, T Tan Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 365 | 2017 |
| Skeleton-based action recognition with spatial reasoning and temporal stack learning C Si, Y Jing, W Wang, L Wang, T Tan Proceedings of the European conference on computer vision (ECCV), 103-118, 2018 | 347 | 2018 |
| Joint feature selection and subspace learning for cross-modal retrieval K Wang, R He, L Wang, W Wang, T Tan IEEE transactions on pattern analysis and machine intelligence 38 (10), 2010 …, 2015 | 324 | 2015 |
| A comprehensive survey on cross-modal retrieval K Wang, Q Yin, W Wang, S Wu, L Wang arXiv preprint arXiv:1607.06215, 2016 | 303 | 2016 |
| Bidirectional recurrent convolutional networks for multi-frame super-resolution Y Huang, W Wang, L Wang Advances in neural information processing systems 28, 2015 | 267 | 2015 |
| Learning coupled feature spaces for cross-modal matching K Wang, R He, W Wang, L Wang, T Tan Proceedings of the IEEE international conference on computer vision, 2088-2095, 2013 | 254 | 2013 |
| Instance-aware image and sentence matching with selective multimodal lstm Y Huang, W Wang, L Wang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 243 | 2017 |
| Measuring visual saliency by site entropy rate W Wang, Y Wang, Q Huang, W Gao 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 234 | 2010 |
| Deep embedding network for clustering P Huang, Y Huang, W Wang, L Wang 2014 22nd International conference on pattern recognition, 1532-1537, 2014 | 215 | 2014 |
| Video super-resolution via bidirectional recurrent convolutional networks Y Huang, W Wang, L Wang IEEE transactions on pattern analysis and machine intelligence 40 (4), 1015-1028, 2017 | 167 | 2017 |
| M3: Multimodal memory modelling for video captioning J Wang, W Wang, Y Huang, L Wang, T Tan Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 162 | 2018 |
| Simulating human saccadic scanpaths on natural images W Wang, C Chen, Y Wang, T Jiang, F Fang, Y Yao CVPR 2011, 441-448, 2011 | 124 | 2011 |
| Learning visual relationship and context-aware attention for image captioning J Wang, W Wang, L Wang, Z Wang, DD Feng, T Tan Pattern Recognition 98, 107075, 2020 | 113 | 2020 |
| Multi-task deep neural network for multi-label learning Y Huang, W Wang, L Wang, T Tan 2013 IEEE International conference on image processing, 2897-2900, 2013 | 102 | 2013 |
| Pose-guided multi-granularity attention network for text-based person search Y Jing, C Si, J Wang, W Wang, L Wang, T Tan Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11189 …, 2020 | 79 | 2020 |
| Multistage adversarial losses for pose-based human image synthesis C Si, W Wang, L Wang, T Tan Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 67 | 2018 |
| Locate then segment: A strong pipeline for referring image segmentation Y Jing, T Kong, W Wang, L Wang, L Li, T Tan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 62 | 2021 |
Tieniu TanInstitute of Automation, Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn
