Pose-guided feature alignment for occluded person re-identification J Miao, Y Wu, P Liu, Y Ding, Y Yang Proceedings of the IEEE/CVF international conference on computer vision, 542-551, 2019 | 593 | 2019 |
Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration Y He, Y Ding, P Liu, L Zhu, H Zhang, Y Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 274 | 2020 |
Adaptive exploration for unsupervised person re-identification Y Ding, H Fan, M Xu, Y Yang ACM Transactions on Multimedia Computing, Communications, and Applications …, 2020 | 146 | 2020 |
Pstnet: Point spatio-temporal convolution on point cloud sequences H Fan, X Yu, Y Ding, Y Yang, M Kankanhalli arXiv preprint arXiv:2205.13713, 2022 | 131 | 2022 |
RFNet: Region-aware fusion network for incomplete multi-modal brain tumor segmentation Y Ding, X Yu, Y Yang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 89 | 2021 |
Modeling the probabilistic distribution of unlabeled data for one-shot medical image segmentation Y Ding, X Yu, Y Yang Proceedings of the AAAI conference on artificial intelligence 35 (2), 1246-1254, 2021 | 32 | 2021 |
Cfbi+: Collaborative video object segmentation by multi-scale foreground-background integration Z Yang, Y Ding, Y Wei, Y Yang CVPR Workshops 1 (2), 3, 2020 | 9 | 2020 |
Clustering propagation for universal medical image segmentation Y Ding, L Li, W Wang, Y Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 6 | 2024 |
Barely-supervised Brain Tumor Segmentation via Employing Segment Anything Model Y Ding, H Liu IEEE Transactions on Circuits and Systems for Video Technology, 2024 | | 2024 |
Supplementary material RFNet: Region-aware Fusion Network for Incomplete Multi-modal Brain Tumor Segmentation Y Ding, X Yu, Y Yang | | |