| Bag of tricks and a strong baseline for deep person re-identification H Luo, Y Gu, X Liao, S Lai, W Jiang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1473 | 2019 |
| Transreid: Transformer-based object re-identification S He, H Luo, P Wang, F Wang, H Li, W Jiang Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021 | 978 | 2021 |
| Alignedreid: Surpassing human-level performance in person re-identification X Zhang*, H Luo*, X Fan, W Xiang, Y Sun, Q Xiao, W Jiang, C Zhang, ... arXiv preprint arXiv:1711.08184, 2017 | 663 | 2017 |
| A strong baseline and batch normalization neck for deep person re-identification H Luo, W Jiang, Y Gu, F Liu, X Liao, S Lai, J Gu IEEE Transactions on Multimedia 22 (10), 2597-2609, 2019 | 611 | 2019 |
| AlignedReID++: Dynamically Matching Local Information for Person Re-Identification H Luo, W Jiang, X Zhang, X Fan, J Qian, C Zhang Pattern Recognition, 2019 | 265 | 2019 |
| Spherereid: Deep hypersphere manifold embedding for person re-identification X Fan, W Jiang, H Luo, M Fei Journal of Visual Communication and Image Representation 60, 51-58, 2019 | 230 | 2019 |
| Margin sample mining loss: A deep learning based method for person re-identification Q Xiao, H Luo, C Zhang arXiv preprint arXiv:1710.00478, 2017 | 194 | 2017 |
| SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-identification X Fan, H Luo, X Zhang, L He, C Zhang, W Jiang Asian Conference on Computer Vision, 19-34, 2018 | 130 | 2018 |
| Stnreid: Deep convolutional networks with pairwise spatial transformer networks for partial person re-identification H Luo, W Jiang, X Fan, C Zhang IEEE Transactions on Multimedia 22 (11), 2905-2913, 2020 | 119 | 2020 |
| A survey on self-supervised learning: Algorithms, applications, and future trends J Gui, T Chen, J Zhang, Q Cao, Z Sun, H Luo, D Tao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 118 | 2024 |
| Stripe-based and attribute-aware network: A two-branch deep model for vehicle re-identification J Qian, W Jiang, H Luo, H Yu Measurement Science and Technology 31 (9), 095401, 2020 | 108 | 2020 |
| Multi-domain learning and identity mining for vehicle re-identification S He, H Luo, W Chen, M Zhang, Y Zhang, F Wang, H Li, W Jiang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 96 | 2020 |
| Beyond appearance: a semantic controllable self-supervised learning framework for human-centric visual tasks W Chen, X Xu, J Jia, H Luo, Y Wang, F Wang, R Jin, X Sun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 93 | 2023 |
| Self-supervised pre-training for transformer-based person re-identification H Luo, P Wang, Y Xu, F Ding, Y Zhou, F Wang, H Li, R Jin arXiv preprint arXiv:2111.12084, 2021 | 73 | 2021 |
| City-scale multi-camera vehicle tracking guided by crossroad zones C Liu, Y Zhang, H Luo, J Tang, W Chen, X Xu, F Wang, H Li, YD Shen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 70 | 2021 |
| 基于深度学习的行人重识别研究进展 罗浩， 姜伟， 范星， 张思朋 自动化学报 45 (11), 2032-2049, 2019 | 57 | 2019 |
| MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID J Gu, K Wang, H Luo, C Chen, W Jiang, Y Fang, S Zhang, Y You, J Zhao IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023 | 45 | 2023 |
| An empirical study of vehicle re-identification on the ai city challenge H Luo, W Chen, X Xu, J Gu, Y Zhang, C Liu, Y Jiang, S He, F Wang, H Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 42 | 2021 |
| Modality-transfer generative adversarial network and dual-level unified latent representation for visible thermal person re-identification X Fan, W Jiang, H Luo, W Mao The Visual Computer, 1-16, 2022 | 41 | 2022 |
| Scaled relu matters for training vision transformers P Wang, X Wang, H Luo, J Zhou, Z Zhou, F Wang, H Li, R Jin Proceedings of the AAAI conference on artificial intelligence 36 (3), 2495-2503, 2022 | 39 | 2022 |
Wei JiangZhejiang universityVerified email at zju.edu.cn
