| Random erasing data augmentation Z Zhong, L Zheng, G Kang, S Li, Y Yang Proceedings of the AAAI conference on artificial intelligence 34 (07), 13001 …, 2020 | 5127 | 2020 |
| Contrastive adaptation network for single-and multi-source domain adaptation G Kang, L Jiang, Y Wei, Y Yang, A Hauptmann IEEE transactions on pattern analysis and machine intelligence 44 (4), 1793-1804, 2020 | 1463* | 2020 |
| Soft filter pruning for accelerating deep convolutional neural networks Y He, G Kang, X Dong, Y Fu, Y Yang IJCAI 2018, 2018 | 1419 | 2018 |
| Image-image domain adaptation with preserved self-similarity and domain-dissimilarity for person re-identification W Deng, L Zheng, Q Ye, G Kang, Y Yang, J Jiao Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1267 | 2018 |
| Multi-interest network with dynamic routing for recommendation at Tmall C Li, Z Liu, M Wu, Y Xu, H Zhao, P Huang, G Kang, Q Chen, W Li, DL Lee Proceedings of the 28th ACM international conference on information and …, 2019 | 520 | 2019 |
| Multi-modal curriculum learning for semi-supervised image classification C Gong, D Tao, SJ Maybank, W Liu, G Kang, J Yang IEEE Transactions on Image Processing 25 (7), 3249-3260, 2016 | 389 | 2016 |
| Self-produced guidance for weakly-supervised object localization X Zhang, Y Wei, G Kang, Y Yang, T Huang Proceedings of the European conference on computer vision (ECCV), 597-613, 2018 | 304 | 2018 |
| Few-shot segmentation via cycle-consistent transformer G Zhang, G Kang, Y Yang, Y Wei Advances in neural information processing systems 34, 21984-21996, 2021 | 262 | 2021 |
| SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model G Zhang, L Wang, G Kang, L Chen, Y Wei ICCV 2023, 2023 | 226 | 2023 |
| Asymptotic soft filter pruning for deep convolutional neural networks Y He, X Dong, G Kang, Y Fu, C Yan, Y Yang IEEE transactions on cybernetics 50 (8), 3594-3604, 2019 | 220 | 2019 |
| Content-consistent matching for domain adaptive semantic segmentation G Li, G Kang, W Liu, Y Wei, Y Yang European conference on computer vision, 440-456, 2020 | 200 | 2020 |
| Domain consensus clustering for universal domain adaptation G Li, G Kang, Y Zhu, Y Wei, Y Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 196 | 2021 |
| Deep adversarial attention alignment for unsupervised domain adaptation: the benefit of target expectation maximization G Kang, L Zheng, Y Yan, Y Yang Proceedings of the European conference on computer vision (ECCV), 401-416, 2018 | 171 | 2018 |
| Patchshuffle regularization G Kang, X Dong, L Zheng, Y Yang arXiv preprint arXiv:1707.07103, 2017 | 161 | 2017 |
| Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation G Kang, Y Wei, Y Yang, Y Zhuang, A Hauptmann Advances in Neural Information Processing Systems (Oral) 33, 2020 | 160 | 2020 |
| Shakeout: A new approach to regularized deep neural network training G Kang, J Li, D Tao IEEE transactions on pattern analysis and machine intelligence 40 (5), 1245-1258, 2017 | 148* | 2017 |
| Visa: Reasoning video object segmentation via large language models C Yan, H Wang, S Yan, X Jiang, Y Hu, G Kang, W Xie, E Gavves European Conference on Computer Vision, 98-115, 2024 | 107 | 2024 |
| Attract or distract: Exploit the margin of open set Q Feng, G Kang, H Fan, Y Yang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 86 | 2019 |
| Attriclip: A non-incremental learner for incremental knowledge learning R Wang, X Duan, G Kang, J Liu, S Lin, S Xu, J Lü, B Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 83 | 2023 |
| Vaqf: Fully automatic software-hardware co-design framework for low-bit vision transformer M Sun, H Ma, G Kang, Y Jiang, T Chen, X Ma, Z Wang, Y Wang arXiv preprint arXiv:2201.06618, 2022 | 67 | 2022 |
