| Deep metric learning with hierarchical triplet loss W Ge Proceedings of the European conference on computer vision (ECCV), 269-285, 2018 | 470 | 2018 |
| A systematic review on affective computing: Emotion models, databases, and recent advances Y Wang, W Song, W Tao, A Liotta, D Yang, X Li, S Gao, Y Sun, W Ge, ... Information Fusion 83, 19-52, 2022 | 327 | 2022 |
| Weakly supervised complementary parts models for fine-grained image classification from the bottom up W Ge, X Lin, Y Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 317 | 2019 |
| Borrowing treasures from the wealthy: Deep transfer learning through selective joint fine-tuning W Ge, Y Yu Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 279 | 2017 |
| Multi-evidence filtering and fusion for multi-label classification, object detection and semantic segmentation based on weakly supervised learning W Ge, S Yang, Y Yu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 246 | 2018 |
| GraphFPN: Graph feature pyramid network for object detection G Zhao, W Ge, Y Yu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 94 | 2021 |
| 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 Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 84 | 2022 |
| Label-penet: Sequential label propagation and enhancement networks for weakly supervised instance segmentation W Ge, S Guo, W Huang, MR Scott Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 61 | 2019 |
| Attribute surrogates learning and spectral tokens pooling in transformers for few-shot learning Y He, W Liang, D Zhao, HY Zhou, W Ge, Y Yu, W Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 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 | 48 | 2022 |
| Multi-scale matching networks for semantic correspondence D Zhao, Z Song, Z Ji, G Zhao, W Ge, Y Yu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 45 | 2021 |
| Dynamic background estimation and complementary learning for pixel-wise foreground/background segmentation W Ge, Z Guo, Y Dong, Y Chen Pattern Recognition 59, 112-125, 2016 | 36 | 2016 |
| Weakly Supervised Image Segmentation Via Curriculum Learning W Ge, S Guo, W Huang, MR Scott US Patent App. 16/525,309, 2021 | 33 | 2021 |
| Image super-resolution via deterministic-stochastic synthesis and local statistical rectification W Ge, B Gong, Y Yu ACM Transactions on Graphics (TOG) 37 (6), 1-14, 2018 | 17 | 2018 |
| Improving empathetic dialogue generation by dynamically infusing commonsense knowledge H Cai, X Shen, Q Xu, W Shen, X Wang, W Ge, X Zheng, X Xue arXiv preprint arXiv:2306.04657, 2023 | 15 | 2023 |
| Rankdnn: Learning to rank for few-shot learning Q Guo, G Haotong, X Wei, Y Fu, Y Yu, W Zhang, W Ge Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 728-736, 2023 | 9 | 2023 |
| Benchmark dataset for short-term market prediction of limit order book in china markets C Huang, W Ge, H Chou, X Du The Journal of Financial Data Science 3 (4), 171-183, 2021 | 9 | 2021 |
| Background subtraction with dynamic noise sampling and complementary learning W Ge, Y Dong, Z Guo, Y Chen 2014 22nd International Conference on Pattern Recognition, 2341-2346, 2014 | 8 | 2014 |
| 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 | 7 | 2023 |
| Reading relevant feature from global representation memory for visual object tracking X Zhou, P Guo, L Hong, J Li, W Zhang, W Ge, W Zhang Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
Yizhou YuThe University of Hong Kong, IEEE FellowVerified email at acm.org
