| End-to-end weakly supervised object detection with sparse proposal evolution M Liao, F Wan, Y Yao, Z Han, J Zou, Y Wang, B Feng, P Yuan, Q Ye European Conference on Computer Vision, 210-226, 2022 | 19 | 2022 |
| Evaluation of text-to-video generation models: A dynamics perspective M Liao, Q Ye, W Zuo, F Wan, T Wang, Y Zhao, J Wang, X Zhang Advances in Neural Information Processing Systems 37, 109790-109816, 2025 | 14 | 2025 |
| Attentionshift: Iteratively estimated part-based attention map for pointly supervised instance segmentation M Liao, Z Guo, Y Wang, P Yuan, B Feng, F Wan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
| Hierarchical AttentionShift for Pointly Supervised Instance Segmentation M Liao, F Wan, Z Guo, Q Ye IEEE Transactions on Neural Networks and Learning Systems, 2025 | | 2025 |
| DynRefer: Delving into Region-level Multi-modality Tasks via Dynamic Resolution Y Zhao, F Liu, Y Liu, M Liao, C Gong, Q Ye, F Wan arXiv preprint arXiv:2405.16071, 2024 | | 2024 |
| End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution–Supplementary Material– M Liao, F Wan, Y Yao, Z Han, J Zou, Y Wang, B Feng, P Yuan, Q Ye | | |
| Discriminatively Matched Part Tokens for Pointly Supervised Instance Segmentation Z Guo, M Liao, Z Peng, Y Zhang, P Yuan, Q Ye, F Wan | | |
| AttentionShift: Iteratively Estimated Part-based Attention Map for Pointly Supervised Instance Segmentation–Supplementary Material– M Liao, Z Guo, Y Wang, P Yuan, B Feng, F Wan | | |
