Random erasing data augmentation Z Zhong, L Zheng, G Kang, S Li, Y Yang The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020 | 3787 | 2020 |
Beyond part models: Person retrieval with refined part pooling (and a strong convolutional baseline) Y Sun, L Zheng, Y Yang, Q Tian, S Wang Proceedings of the European conference on computer vision (ECCV), 480-496, 2018 | 2597 | 2018 |
Unlabeled samples generated by gan improve the person re-identification baseline in vitro Z Zheng, L Zheng, Y Yang ICCV 2017 3, 2017 | 2273 | 2017 |
Person re-identification: Past, present and future L Zheng, Y Yang, AG Hauptmann arXiv preprint arXiv:1610.02984, 2016 | 1467 | 2016 |
Filter pruning via geometric median for deep convolutional neural networks acceleration Y He, P Liu, Z Wang, Z Hu, Y Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1260 | 2019 |
Soft filter pruning for accelerating deep convolutional neural networks Y He, G Kang, X Dong, Y Fu, Y Yang arXiv preprint arXiv:1808.06866, 2018 | 1125 | 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 | 1120 | 2018 |
L2, 1-norm regularized discriminative feature selection for unsupervised learning Y Yang, HT Shen, Z Ma, Z Huang, X Zhou Twenty-Second International Joint Conference on Artificial Intelligence, 2011 | 1009 | 2011 |
A discriminatively learned cnn embedding for person reidentification Z Zheng, L Zheng, Y Yang ACM transactions on multimedia computing, communications, and applications …, 2017 | 980 | 2017 |
Contrastive adaptation network for unsupervised domain adaptation G Kang, L Jiang, Y Yang, AG Hauptmann Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 971 | 2019 |
Improving person re-identification by attribute and identity learning Y Lin, L Zheng, Z Zheng, Y Wu, Z Hu, C Yan, Y Yang Pattern recognition 95, 151-161, 2019 | 926 | 2019 |
Joint discriminative and generative learning for person re-identification Z Zheng, X Yang, Z Yu, L Zheng, Y Yang, J Kautz proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 901 | 2019 |
Person re-identification in the wild L Zheng, H Zhang, S Sun, M Chandraker, Y Yang, Q Tian Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 889 | 2017 |
Infrared patch-image model for small target detection in a single image C Gao, D Meng, Y Yang, Y Wang, X Zhou, AG Hauptmann IEEE transactions on image processing 22 (12), 4996-5009, 2013 | 876 | 2013 |
Learning to propagate labels: Transductive propagation network for few-shot learning Y Liu, J Lee, M Park, S Kim, E Yang, SJ Hwang, Y Yang arXiv preprint arXiv:1805.10002, 2018 | 860 | 2018 |
SIFT meets CNN: A decade survey of instance retrieval L Zheng, Y Yang, Q Tian IEEE transactions on pattern analysis and machine intelligence 40 (5), 1224-1244, 2017 | 832 | 2017 |
Taking a closer look at domain shift: Category-level adversaries for semantics consistent domain adaptation Y Luo, L Zheng, T Guan, J Yu, Y Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 802 | 2019 |
Unsupervised person re-identification: Clustering and fine-tuning H Fan, L Zheng, C Yan, Y Yang ACM Transactions on Multimedia Computing, Communications, and Applications …, 2018 | 786 | 2018 |
Nas-bench-201: Extending the scope of reproducible neural architecture search X Dong, Y Yang arXiv preprint arXiv:2001.00326, 2020 | 754 | 2020 |
Invariance matters: Exemplar memory for domain adaptive person re-identification Z Zhong, L Zheng, Z Luo, S Li, Y Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 716 | 2019 |