| Modelscope text-to-video technical report J Wang, H Yuan, D Chen, Y Zhang, X Wang, S Zhang arXiv preprint arXiv:2308.06571, 2023 | 345 | 2023 |
| VideoComposer: Compositional Video Synthesis with Motion Controllability X Wang, H Yuan, S Zhang, D Chen, J Wang, Y Zhang, Y Shen, D Zhao, ... Advances in Neural Information Processing Systems (NeurIPS), 2023 | 289 | 2023 |
| Temporal Context Aggregation Network for Temporal Action Proposal Refinement Z Qing, H Su, W Gan, D Wang, W Wu, X Wang, Y Qiao, J Yan, C Gao, ... IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2021 | 224* | 2021 |
| I2vgen-xl: High-quality image-to-video synthesis via cascaded diffusion models S Zhang, J Wang, Y Zhang, K Zhao, H Yuan, Z Qin, X Wang, D Zhao, ... arXiv preprint arXiv:2311.04145, 2023 | 171 | 2023 |
| OadTR: Online Action Detection with Transformers X Wang, S Zhang, Z Qing, Y Shao, Z Zuo, C Gao, N Sang IEEE International Conference on Computer Vision (ICCV), 2021 | 145 | 2021 |
| Hybrid Relation Guided Set Matching for Few-shot Action Recognition X Wang, S Zhang, Z Qing, M Tang, Z Zuo, C Gao, R Jin, N Sang IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2022 | 109 | 2022 |
| Self-Supervised Learning for Semi-Supervised Temporal Action Proposal X Wang, S Zhang, Z Qing, Y Shao, C Gao, N Sang IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2021 | 81 | 2021 |
| MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition X Wang, S Zhang, Z Qing, C Gao, Y Zhang, D Zhao, N Sang IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2023 | 69 | 2023 |
| MAR: Masked Autoencoders for Efficient Action Recognition Z Qing, S Zhang, Z Huang, X Wang, Y Wang, Y Lv, C Gao, N Sang IEEE Transactions on Multimedia 26, 218-233, 2023 | 63 | 2023 |
| CLIP-guided prototype modulating for few-shot action recognition X Wang, S Zhang, J Cen, C Gao, Y Zhang, D Zhao, N Sang International Journal of Computer Vision (IJCV), 2023 | 58 | 2023 |
| Dreamtalk: When expressive talking head generation meets diffusion probabilistic models Y Ma, S Zhang, J Wang, X Wang, Y Zhang, Z Deng arXiv preprint arXiv:2312.09767, 2023 | 53 | 2023 |
| Videolcm: Video latent consistency model X Wang, S Zhang, H Zhang, Y Liu, Y Zhang, C Gao, N Sang arXiv preprint arXiv:2312.09109, 2023 | 43 | 2023 |
| RLIPv2: Fast Scaling of Relational Language-Image Pre-training H Yuan, S Zhang, X Wang, S Albanie, Y Pan, T Feng, J Jiang, D Ni, ... IEEE International Conference on Computer Vision (ICCV), 2023 | 36 | 2023 |
| InstructVideo: Instructing Video Diffusion Models with Human Feedback H Yuan, S Zhang, X Wang, Y Wei, T Feng, Y Pan, Y Zhang, Z Liu, ... IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2024 | 31 | 2024 |
| Proposal Relation Network for Temporal Action Detection X Wang, Z Qing, Z Huang, Y Feng, S Zhang, J Jiang, M Tang, C Gao, ... IEEE Conf. Computer Vision and Pattern Recognition Workshop (CVPRW), 2021 | 31 | 2021 |
| HyRSM++: Hybrid relation guided temporal set matching for few-shot action recognition X Wang, S Zhang, Z Qing, Z Zuo, C Gao, R Jin, N Sang Pattern Recognition (PR), 2024 | 25 | 2024 |
| Hierarchical spatio-temporal decoupling for text-to-video generation Z Qing, S Zhang, J Wang, X Wang, Y Wei, Y Zhang, C Gao, N Sang IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2024 | 24 | 2024 |
| A Recipe for Scaling up Text-to-Video Generation with Text-free Videos X Wang, S Zhang, H Yuan, Z Qing, B Gong, Y Zhang, Y Shen, C Gao, ... IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2024 | 23 | 2024 |
| Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning Y Pei, Z Qing, J Cen, X Wang, S Zhang, Y Wang, M Tang, N Sang, X Qian Advances in Neural Information Processing Systems (NeurIPS), 2022 | 21 | 2022 |
| UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation X Wang, S Zhang, C Gao, J Wang, X Zhou, Y Zhang, L Yan, N Sang arXiv preprint arXiv:2406.01188, 2024 | 17 | 2024 |
Shiwei ZhangAlibaba GroupVerifierad e-postadress på alibaba-inc.com
