| Random erasing data augmentation Z Zhong, L Zheng, G Kang, S Li, Y Yang The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020 | 1946 | 2020 |
| Unlabeled samples generated by gan improve the person re-identification baseline in vitro Z Zheng, L Zheng, Y Yang ICCV 2017 3, 2017 | 1671 | 2017 |
| 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 | 1575 | 2018 |
| Person re-identification: Past, present and future L Zheng, Y Yang, AG Hauptmann arXiv preprint arXiv:1610.02984, 2016 | 1099 | 2016 |
| 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 | 788 | 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 | 780 | 2011 |
| A discriminatively learned cnn embedding for person reidentification Z Zheng, L Zheng, Y Yang ACM transactions on multimedia computing, communications, and applications …, 2017 | 742 | 2017 |
| 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 | 686 | 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 | 659 | 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 | 641 | 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 | 622 | 2017 |
| 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 | 570 | 2018 |
| 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 | 564 | 2017 |
| Camera style adaptation for person re-identification Z Zhong, L Zheng, Z Zheng, S Li, Y Yang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 542 | 2018 |
| 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 | 540 | 2019 |
| Inter-media hashing for large-scale retrieval from heterogeneous data sources J Song, Y Yang, Y Yang, Z Huang, HT Shen Proceedings of the 2013 ACM SIGMOD international conference on management of …, 2013 | 526 | 2013 |
| Pose-invariant embedding for deep person re-identification L Zheng, Y Huang, H Lu, Y Yang IEEE Transactions on Image Processing 28 (9), 4500-4509, 2019 | 508 | 2019 |
| Unsupervised Feature Selection Using Nonnegative Spectral Analysis Z Li, Y Yang, J Liu, X Zhou, H Lu Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012 | 502 | 2012 |
| 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 | 497 | 2018 |
| A discriminative CNN video representation for event detection Z Xu, Y Yang, AG Hauptmann Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015 | 495 | 2015 |
Alex HauptmannCarnegie Mellon UniversityZweryfikowany adres z cs.cmu.edu
