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 | 11 | 2022 |
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 | 9 | 2023 |
Evaluation of Text-to-Video Generation Models: A Dynamics Perspective M Liao, H Lu, X Zhang, F Wan, T Wang, Y Zhao, W Zuo, Q Ye, J Wang arXiv preprint arXiv:2407.01094, 2024 | 1 | 2024 |
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 | | |