Spatio-temporal attention networks for action recognition and detection J Li, X Liu, W Zhang, M Zhang, J Song, N Sebe IEEE Transactions on Multimedia 22 (11), 2990-3001, 2020 | 139 | 2020 |
Spatio-temporal deformable 3d convnets with attention for action recognition J Li, X Liu, M Zhang, D Wang Pattern Recognition 98, 107037, 2020 | 122 | 2020 |
Graph attention based proposal 3d convnets for action detection J Li, X Liu, Z Zong, W Zhao, M Zhang, J Song Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4626-4633, 2020 | 48 | 2020 |
Progressive Generative Hashing for Image Retrieval. Y Ma, Y He, F Ding, S Hu, J Li, X Liu IJCAI, 871-877, 2018 | 23 | 2018 |
Semantic object segmentation in tagged videos via detection Y Zhang, X Chen, J Li, C Wang, C Xia, J Li IEEE transactions on pattern analysis and machine intelligence 40 (7), 1741-1754, 2017 | 9 | 2017 |
Multi-pretext attention network for few-shot learning with self-supervision H Li, R Tao, J Li, H Qin, Y Ding, S Wang, X Liu 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 7 | 2021 |
Dynamic spatio-temporal feature learning via graph convolution in 3D convolutional networks J Li, X Liu, J Xiao, H Li, S Wang, L Liu 2019 International Conference on Data Mining Workshops (ICDMW), 646-652, 2019 | 7 | 2019 |
Two-branch attention network via efficient semantic coupling for one-shot learning J Li, D Wang, X Liu, Z Shi, M Wang IEEE Transactions on Image Processing 31, 341-351, 2021 | 4 | 2021 |
Candidate region correlation for video action detection Y Li, M Zhang, L Hu, J Li, D Wang Journal of Visual Communication and Image Representation 71, 102818, 2020 | | 2020 |