| Structured attentions for visual question answering C Zhu, Y Zhao, S Huang, K Tu, Y Ma Proceedings of the IEEE International Conference on Computer Vision, 1291-1300, 2017 | 118 | 2017 |
| Dehazing evaluation: Real-world benchmark datasets, criteria, and baselines S Zhao, L Zhang, S Huang, Y Shen, S Zhao IEEE Transactions on Image Processing 29, 6947-6962, 2020 | 102 | 2020 |
| Dynamic context correspondence network for semantic alignment S Huang, Q Wang, S Zhang, S Yan, X He Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 87 | 2019 |
| Evaluation of defogging: A real-world benchmark dataset, a new criterion and baselines S Zhao, L Zhang, S Huang, Y Shen, S Zhao, Y Yang 2019 IEEE international conference on multimedia and expo (ICME), 1840-1845, 2019 | 18 | 2019 |
| Towards scalable neural representation for diverse videos B He, X Yang, H Wang, Z Wu, H Chen, S Huang, Y Ren, SN Lim, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 13 | 2023 |
| Learning semantic correspondence with sparse annotations S Huang, L Yang, B He, S Zhang, X He, A Shrivastava European Conference on Computer Vision, 267-284, 2022 | 13 | 2022 |
| Confidence-aware adversarial learning for self-supervised semantic matching S Huang, Q Wang, X He Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 91-103, 2020 | 1 | 2020 |
