| A survey of human-in-the-loop for machine learning X Wu, L Xiao, Y Sun, J Zhang, T Ma, L He Future Generation Computer Systems, 2022 | 397 | 2022 |
| FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos Y Wang, Y Sun, Y Huang, Z Liu, S Gao, W Zhang, W Ge, W Zhang arXiv preprint arXiv:2203.09463, 2022 | 57 | 2022 |
| DPCNet: Dual Path Multi-Excitation Collaborative Network for Facial Expression Representation Learning in Videos Y Wang, Y Sun, W Song, S Gao, Y Huang, Z Chen, W Ge, W Zhang Proceedings of the 30th ACM International Conference on Multimedia, 101-110, 2022 | 31 | 2022 |
| Correspondence Transformers With Asymmetric Feature Learning and Matching Flow Super-Resolution Y Sun, D Zhao, Z Yin, Y Huang, T Gui, W Zhang, W Ge Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
| Counting Crowds with Perspective Distortion Correction via Adaptive Learning Y Sun, J Jin, X Wu, T Ma, J Yang Sensors 20 (13), 3781, 2020 | 2 | 2020 |
| MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence Y Sun, Y Huang, H Guo, Y Zhao, R Wu, Y Yu, W Ge, W Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 1 | 2023 |
| Weakly Supervised Learning of Semantic Correspondence through Cascaded Online Correspondence Refinement Y Huang, Y Sun, C Lai, Q Xu, X Wang, X Shen, W Ge Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
| Weakly Supervised Learning of Semantic Correspondence through Cascaded Online Correspondence Refinement——–Supplementary Material——– Y Huang, Y Sun, C Lai, Q Xu, X Wang, X Shen, W Ge | | |
| Supplementary Material for Correspondence Transformers with Asymmetric Feature Learning and Matching Flow Super-Resolution Y Sun, D Zhao, Z Yin, Y Huang, T Gui, W Zhang, W Ge | | |
| Supplementary Materials for MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence Y Sun, Y Huang, H Guo, Y Zhao, R Wu, Y Yu, W Ge, W Zhang | | |
