| Identity-guided human semantic parsing for person re-identification K Zhu, H Guo, Z Liu, M Tang, J Wang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 286 | 2020 |
| Learning coarse-to-fine structured feature embedding for vehicle re-identification H Guo, C Zhao, Z Liu, J Wang, H Lu Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 169 | 2018 |
| Attention CoupleNet: Fully convolutional attention coupling network for object detection Y Zhu, C Zhao, H Guo, J Wang, X Zhao, H Lu IEEE Transactions on Image Processing 28 (1), 113-126, 2018 | 158 | 2018 |
| Two-level attention network with multi-grain ranking loss for vehicle re-identification H Guo, K Zhu, M Tang, J Wang IEEE Transactions on Image Processing 28 (9), 4328-4338, 2019 | 110 | 2019 |
| Multi-view 3D object retrieval with deep embedding network H Guo, J Wang, Y Gao, J Li, H Lu IEEE Transactions on Image Processing 25 (12), 5526-5537, 2016 | 110 | 2016 |
| Aaformer: Auto-aligned transformer for person re-identification K Zhu, H Guo, S Zhang, Y Wang, J Liu, J Wang, M Tang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 92 | 2023 |
| Semantic alignment: Finding semantically consistent ground-truth for facial landmark detection Z Liu, X Zhu, G Hu, H Guo, M Tang, Z Lei, NM Robertson, J Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 69 | 2019 |
| Adaptive variance based label distribution learning for facial age estimation X Wen, B Li, H Guo, Z Liu, G Hu, M Tang, J Wang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 55 | 2020 |
| A novel data augmentation scheme for pedestrian detection with attribute preserving GAN S Liu, H Guo, JG Hu, X Zhao, C Zhao, T Wang, Y Zhu, J Wang, M Tang Neurocomputing 401, 123-132, 2020 | 40 | 2020 |
| Pass: Part-aware self-supervised pre-training for person re-identification K Zhu, H Guo, T Yan, Y Zhu, J Wang, M Tang European conference on computer vision, 198-214, 2022 | 37 | 2022 |
| Scale-adaptive deconvolutional regression network for pedestrian detection Y Zhu, J Wang, C Zhao, H Guo, H Lu Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017 | 25 | 2017 |
| Vehicle re-identification with refined part model X Ma, K Zhu, H Guo, J Wang, M Huang, Q Miao 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW …, 2019 | 22 | 2019 |
| Multiple deep features learning for object retrieval in surveillance videos H Guo, J Wang, H Lu IET Computer Vision 10 (4), 268-272, 2016 | 22 | 2016 |
| SHREC’15 Track: 3D object retrieval with multimodal views Y Gao, A Liu, W Nie, Y Su, Q Dai, F Chen, Y Chen, Y Cheng, S Dong, ... Proc. Eurograph. Workshop 3D Object Retrieval, 129-136, 2015 | 19 | 2015 |
| Learning multi-view deep features for small object retrieval in surveillance scenarios H Guo, J Wang, M Xu, ZJ Zha, H Lu Proceedings of the 23rd ACM international conference on Multimedia, 859-862, 2015 | 17 | 2015 |
| Hybrid modality metric learning for visible-infrared person re-identification L Zhang, H Guo, K Zhu, H Qiao, G Huang, S Zhang, H Zhang, J Sun, ... ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022 | 14 | 2022 |
| Multi-granularity mutual learning network for object re-identification M Tu, K Zhu, H Guo, Q Miao, C Zhao, G Zhu, H Qiao, G Huang, M Tang, ... IEEE Transactions on Intelligent Transportation Systems 23 (9), 15178-15189, 2022 | 13 | 2022 |
| Learning semantics-consistent stripes with self-refinement for person re-identification K Zhu, H Guo, S Liu, J Wang, M Tang IEEE Transactions on Neural Networks and Learning Systems, 2022 | 13 | 2022 |
| Deep embedding network for robust age estimation Y He, M Huang, Q Miao, H Guo, J Wang 2017 IEEE international conference on image processing (ICIP), 1092-1096, 2017 | 9 | 2017 |
| Restoring execution environments of jupyter notebooks. In 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE) J Wang, L Li, A Zeller IEEE, 2021 | 8 | 2021 |
