| Iterative alignment network for continuous sign language recognition J Pu, W Zhou, H Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 107 | 2019 |
| Chinese sign language recognition with adaptive HMM J Zhang, W Zhou, C Xie, J Pu, H Li 2016 IEEE international conference on multimedia and expo (ICME), 1-6, 2016 | 103 | 2016 |
| Dilated convolutional network with iterative optimization for continuous sign language recognition. J Pu, W Zhou, H Li IJCAI 3, 7, 2018 | 76 | 2018 |
| Sign language recognition based on trajectory modeling with HMMs J Pu, W Zhou, J Zhang, H Li International Conference on Multimedia Modeling, 686-697, 2016 | 32 | 2016 |
| Continuous sign language recognition via reinforcement learning Z Zhang, J Pu, L Zhuang, W Zhou, H Li 2019 IEEE International Conference on Image Processing (ICIP), 285-289, 2019 | 20 | 2019 |
| Deep grammatical multi-classifier for continuous sign language recognition C Wei, W Zhou, J Pu, H Li 2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM), 435-442, 2019 | 19 | 2019 |
| Improving sign language translation with monolingual data by sign back-translation H Zhou, W Zhou, W Qi, J Pu, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 17 | 2021 |
| Sign language recognition with multi-modal features J Pu, W Zhou, H Li Pacific Rim Conference on Multimedia, 252-261, 2016 | 17 | 2016 |
| Global-local enhancement network for NMF-aware sign language recognition H Hu, W Zhou, J Pu, H Li ACM transactions on multimedia computing, communications, and applications …, 2021 | 16 | 2021 |
| Boosting continuous sign language recognition via cross modality augmentation J Pu, W Zhou, H Hu, H Li Proceedings of the 28th ACM International Conference on Multimedia, 1497-1505, 2020 | 15 | 2020 |
| Deep supervised quantization by self-organizing map M Wang, W Zhou, Q Tian, J Pu, H Li Proceedings of the 25th ACM international conference on Multimedia, 1707-1715, 2017 | 7 | 2017 |
| Energy based fast event retrieval in video with temporal match kernel J Pu, Y Matsui, F Yang, S Satoh 2017 IEEE International Conference on Image Processing (ICIP), 885-889, 2017 | 1 | 2017 |
| Music-driven Dance Regeneration with Controllable Key Pose Constraints J Pu, Y Shan arXiv preprint arXiv:2207.03682, 2022 | | 2022 |
| Self-Supervised Learning of Music-Dance Representation through Explicit-Implicit Rhythm Synchronization J Yu, J Pu, Y Cheng, R Feng, Y Shan arXiv preprint arXiv:2207.03190, 2022 | | 2022 |
| PC-Dance: Posture-controllable Music-driven Dance Synthesis J Gao, J Pu, H Zhang, Y Shan, WS Zheng | | 2022 |
| PC-Dance: Posture-controllable Music-driven Dance Synthesis Jibin Gao, Junfu Pu, Honglun Zhang, Ying Shan, Wei-Shi Zheng ACM International Conference on Multimedia, 2022 | | 2022 |
Wengang ZhouProfessor, EEIS Department, University of Science and Technology of ChinaVerified email at ustc.edu.cn
