Unsupervised cross-dataset transfer learning for person re-identification P Peng, T Xiang, Y Wang, M Pontil, S Gong, T Huang, Y Tian Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 452 | 2016 |
Adversarial reciprocal points learning for open set recognition G Chen, P Peng, X Wang, Y Tian IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 8065 …, 2021 | 317 | 2021 |
Learning open set network with discriminative reciprocal points G Chen, L Qiao, Y Shi, P Peng, J Li, T Huang, S Pu, Y Tian Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 241 | 2020 |
Amplitude-phase recombination: Rethinking robustness of convolutional neural networks in frequency domain G Chen, P Peng, L Ma, J Li, L Du, Y Tian Proceedings of the IEEE/CVF international conference on computer vision, 458-467, 2021 | 114 | 2021 |
Joint semantic and latent attribute modelling for cross-class transfer learning P Peng, Y Tian, T Xiang, Y Wang, M Pontil, T Huang IEEE transactions on pattern analysis and machine intelligence 40 (7), 1625-1638, 2017 | 114 | 2017 |
Masked face recognition with latent part detection F Ding, P Peng, Y Huang, M Geng, Y Tian Proceedings of the 28th ACM international Conference on multimedia, 2281-2289, 2020 | 99 | 2020 |
Learning with fantasy: Semantic-aware virtual contrastive constraint for few-shot class-incremental learning Z Song, Y Zhao, Y Shi, P Peng, L Yuan, Y Tian Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 87 | 2023 |
Domain adaptive attention learning for unsupervised person re-identification Y Huang, P Peng, Y Jin, Y Li, J Xing Proceedings of the AAAI conference on artificial intelligence 34 (07), 11069 …, 2020 | 87 | 2020 |
Robust multiple cameras pedestrian detection with multi-view Bayesian network P Peng, Y Tian, Y Wang, J Li, T Huang Pattern Recognition 48 (5), 1760-1772, 2015 | 87 | 2015 |
Masked face recognition with generative data augmentation and domain constrained ranking M Geng, P Peng, Y Huang, Y Tian Proceedings of the 28th ACM international conference on multimedia, 2246-2254, 2020 | 82 | 2020 |
Visual tracking via spatially aligned correlation filters network M Zhang, Q Wang, J Xing, J Gao, P Peng, W Hu, S Maybank Proceedings of the European conference on computer vision (ECCV), 469-485, 2018 | 68 | 2018 |
Model latent views with multi-center metric learning for vehicle re-identification Y Jin, C Li, Y Li, P Peng, GA Giannopoulos IEEE Transactions on Intelligent Transportation Systems 22 (3), 1919-1931, 2021 | 52 | 2021 |
Joint learning of semantic and latent attributes P Peng, Y Tian, T Xiang, Y Wang, T Huang Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 47 | 2016 |
Multi-view learning for vehicle re-identification W Lin, Y Li, X Yang, P Peng, J Xing 2019 IEEE international conference on multimedia and expo (ICME), 832-837, 2019 | 41 | 2019 |
Self-guided adaptation: Progressive representation alignment for domain adaptive object detection C Zhang, Z Li, J Liu, P Peng, Q Ye, S Lu, T Huang, Y Tian IEEE Transactions on Multimedia 24, 2246-2258, 2021 | 30 | 2021 |
Metavim: Meta variationally intrinsic motivated reinforcement learning for decentralized traffic signal control L Zhu, P Peng, Z Lu, Y Tian IEEE Transactions on Knowledge and Data Engineering 35 (11), 11570-11584, 2023 | 26 | 2023 |
Deep reinforcement learning with spiking q-learning D Chen, P Peng, T Huang, Y Tian arXiv preprint arXiv:2201.09754, 2022 | 23 | 2022 |
Training full spike neural networks via auxiliary accumulation pathway G Chen, P Peng, G Li, Y Tian arXiv preprint arXiv:2301.11929, 2023 | 21 | 2023 |
Spectrum random masking for generalization in image-based reinforcement learning Y Huang, P Peng, Y Zhao, G Chen, Y Tian Advances in Neural Information Processing Systems 35, 20393-20406, 2022 | 17 | 2022 |
Vehicle re-identification by multi-grain Learni X Yang, C Lang, P Peng, J Xing 2019 IEEE International Conference on Image Processing (ICIP), 3113-3117, 2019 | 12 | 2019 |