| 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 | 1938 | 2020 |
| 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 | 787 | 2018 |
| Soft filter pruning for accelerating deep convolutional neural networks Y He, G Kang, X Dong, Y Fu, Y Yang IJCAI 2018, 2018 | 640 | 2018 |
| Contrastive adaptation network for single-and multi-source domain adaptation G Kang, L Jiang, Y Wei, Y Yang, AG Hauptmann IEEE transactions on pattern analysis and machine intelligence, 2020 | 467* | 2020 |
| 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 | 237 | 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 | 184 | 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 | 132 | 2019 |
| 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 | 111* | 2017 |
| 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 | 107 | 2018 |
| 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 | 103* | 2019 |
| Patchshuffle regularization G Kang, X Dong, L Zheng, Y Yang arXiv preprint arXiv:1707.07103, 2017 | 68 | 2017 |
| 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 | 64 | 2020 |
| 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 | 55 | 2020 |
| 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 | 42 | 2019 |
| Argus: Efficient activity detection system for extended video analysis W Liu, G Kang, PY Huang, X Chang, Y Qian, J Liang, L Gui, J Wen, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 26 | 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 | 21 | 2021 |
| Annotation efficient cross-modal retrieval with adversarial attentive alignment PY Huang, G Kang, W Liu, X Chang, AG Hauptmann Proceedings of the 27th ACM International Conference on Multimedia, 1758-1767, 2019 | 17 | 2019 |
| EraseReLU: a simple way to ease the training of deep convolution neural networks X Dong, G Kang, K Zhan, Y Yang arXiv preprint arXiv:1709.07634, 2017 | 17 | 2017 |
| 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 | 13 | 2021 |
| MMVG-INF-Etrol@ TRECVID 2019: Activities in Extended Video. X Chang, W Liu, PY Huang, C Li, F Zhu, M Han, M Li, M Ma, S Hu, G Kang, ... TRECVID, 2019 | 12 | 2019 |
