| Region attention networks for pose and occlusion robust facial expression recognition K Wang, X Peng, J Yang, D Meng, Y Qiao IEEE Transactions on Image Processing 29, 4057-4069, 2020 | 760 | 2020 |
| Suppressing uncertainties for large-scale facial expression recognition K Wang, X Peng, J Yang, S Lu, Y Qiao CVPR-2020, 6897-6906, 2020 | 677 | 2020 |
| CAFE: Learning to Condense Dataset by Aligning Features K Wang, B Zhao, X Peng, Z Zhu, S Yang, S Wang, G Huang, H Bilen, ... CVPR-2022, 2022 | 185 | 2022 |
| Frame attention networks for facial expression recognition in videos D Meng, X Peng, K Wang, Y Qiao 2019 IEEE international conference on image processing (ICIP), 3866-3870, 2019 | 178 | 2019 |
| Dataset Distillation via Factorization S Liu, K Wang, X Yang, J Ye, X Wang NeurIPS-2022-Spotlight, 2022 | 142 | 2022 |
| MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning S Chen, Z Hong, GS Xie, W Wang, Q Peng, K Wang, J Zhao, X You CVPR-2022, 2022 | 116 | 2022 |
| Crafting Better Contrastive Views for Siamese Representation Learning X Peng*, K Wang*, Z Zhu, M Wang, Y You (equal contribution) CVPR-2022-Oral, 2022 | 111 | 2022 |
| Group emotion recognition with individual facial emotion CNNs and global image based CNNs L Tan, K Zhang, K Wang, X Zeng, X Peng, Y Qiao Proceedings of the 19th ACM international conference on multimodal …, 2017 | 95 | 2017 |
| Deep recurrent multi-instance learning with spatio-temporal features for engagement intensity prediction J Yang, K Wang, X Peng, Y Qiao Proceedings of the 20th ACM international conference on multimodal …, 2018 | 86 | 2018 |
| Exploring emotion features and fusion strategies for audio-video emotion recognition H Zhou, D Meng, Y Zhang, X Peng, J Du, K Wang, Y Qiao 2019 International conference on multimodal interaction, 562-566, 2019 | 78 | 2019 |
| DREAM: Efficient Dataset Distillation by Representative Matching Y Liu, J Gu, K Wang+, Z Zhu, W Jiang, Y You (project lead) ICCV-2023, 2023 | 52 | 2023 |
| GarbageNet: a unified learning framework for robust garbage classification J Yang, Z Zeng, K Wang, H Zou, L Xie IEEE Transactions on Artificial Intelligence 2 (4), 372-380, 2021 | 52 | 2021 |
| Cascade attention networks for group emotion recognition with face, body and image cues K Wang, X Zeng, J Yang, D Meng, K Zhang, X Peng, Y Qiao Proceedings of the 20th ACM international conference on multimodal …, 2018 | 49 | 2018 |
| Prompt vision transformer for domain generalization Z Zheng, X Yue, K Wang, Y You arXiv preprint arXiv:2208.08914, 2022 | 45 | 2022 |
| Learning discriminative representation for facial expression recognition from uncertainties X Fan, Z Deng, K Wang, X Peng, Y Qiao 2020 IEEE International Conference on image processing (ICIP), 903-907, 2020 | 44 | 2020 |
| Brain MRI super-resolution using coupled-projection residual network CM Feng, K Wang, S Lu, Y Xu, X Li Neurocomputing 456, 190-199, 2021 | 41 | 2021 |
| Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models Z Zheng, M Ma, K Wang, Z Qin, X Yue, Y You ICCV-2023, 2023 | 40 | 2023 |
| Suppressing mislabeled data via grouping and self-attention X Peng, K Wang*, Z Zeng, Q Li, J Yang, Y Qiao Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 37 | 2020 |
| Interactive dual generative adversarial networks for image captioning J Liu, K Wang, C Xu, Z Zhao, R Xu, Y Shen, M Yang Proceedings of the AAAI conference on artificial intelligence 34 (07), 11588 …, 2020 | 36 | 2020 |
| An efficient training approach for very large scale face recognition K Wang, S Wang, P Zhang, Z Zhou, Z Zhu, X Wang, X Peng, B Sun, H Li, ... CVPR-2022, 2021 | 33 | 2021 |
Yang YouPresidential Young Professor, National University of Singapore在 comp.nus.edu.sg 的电子邮件经过验证
