| Metaformer is actually what you need for vision W Yu, M Luo, P Zhou, C Si, Y Zhou, X Wang, J Feng, S Yan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 672 | 2022 |
| Activating more pixels in image super-resolution transformer X Chen, X Wang, J Zhou, Y Qiao, C Dong Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 475* | 2023 |
| Metaformer baselines for vision W Yu, C Si, P Zhou, M Luo, Y Zhou, J Feng, S Yan, X Wang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 59 | 2023 |
| Mugs: A multi-granular self-supervised learning framework P Zhou, Y Zhou, C Si, W Yu, TK Ng, S Yan arXiv preprint arXiv:2203.14415, 2022 | 46 | 2022 |
| Towards accurate human pose estimation in videos of crowded scenes S Chang, L Yuan, X Nie, Z Huang, Y Zhou, Y Chen, J Feng, S Yan Proceedings of the 28th ACM International Conference on Multimedia, 4630-4634, 2020 | 18 | 2020 |
| Gcm: Efficient video recognition with glance and combine module Y Zhou, Z Huang, X Yang, M Ang, TK Ng Pattern Recognition 133, 108970, 2023 | 8 | 2023 |
| Toward accurate person-level action recognition in videos of crowed scenes L Yuan, Y Zhou, S Chang, Z Huang, Y Chen, X Nie, T Wang, J Feng, ... Proceedings of the 28th ACM International Conference on Multimedia, 4694-4698, 2020 | 7 | 2020 |
| A simple baseline for pose tracking in videos of crowed scenes L Yuan, S Chang, Z Huang, Y Zhou, Y Chen, X Nie, FEH Tay, J Feng, ... Proceedings of the 28th ACM International Conference on Multimedia, 4684-4688, 2020 | 6 | 2020 |
| ID preserving face super-resolution generative adversarial networks J Li, Y Zhou, J Ding, C Chen, X Yang IEEE Access 8, 138373-138381, 2020 | 5 | 2020 |
| Transformed Autoencoder: Pre-training with Mask-Free Encoder and Transformed Decoder Y Zhou, P Zhou, C Si, W Yu, TK Ng, S Yan | | |
