| A deep learning-based approach to progressive vehicle re-identification for urban surveillance X Liu, W Liu, T Mei, H Ma Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 689 | 2016 |
| Large-scale vehicle re-identification in urban surveillance videos X Liu, W Liu, H Ma, H Fu 2016 IEEE international conference on multimedia and expo (ICME), 1-6, 2016 | 600 | 2016 |
| Provid: Progressive and multimodal vehicle reidentification for large-scale urban surveillance X Liu, W Liu, T Mei, H Ma IEEE Transactions on Multimedia 20 (3), 645-658, 2017 | 468 | 2017 |
| Fastreid: A pytorch toolbox for general instance re-identification L He, X Liao, W Liu, X Liu, P Cheng, T Mei ACM Multimedia 2023, 9664-9667, 2023 | 411 | 2023 |
| Monocular, One-stage, Regression of Multiple 3D People TM Y Sun, Q Bao, W Liu, Y Fu, MJ Black ICCV 2021, 2020 | 315* | 2020 |
| Multi-task deep visual-semantic embedding for video thumbnail selection W Liu, T Mei, Y Zhang, C Che, J Luo Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 283 | 2015 |
| Siamese neural network based gait recognition for human identification C Zhang, W Liu, H Ma, H Fu 2016 ieee international conference on acoustics, speech and signal …, 2016 | 243 | 2016 |
| Foreground-aware pyramid reconstruction for alignment-free occluded person re-identification L He, Y Wang, W Liu, H Zhao, Z Sun, J Feng Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 242 | 2019 |
| Group-aware label transfer for domain adaptive person re-identification K Zheng, W Liu, L He, T Mei, J Luo, ZJ Zha Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 219 | 2021 |
| Human mesh recovery from monocular images via a skeleton-disentangled representation Y Sun, Y Ye, W Liu, W Gao, Y Fu, T Mei Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 205 | 2019 |
| Recent advances of monocular 2d and 3d human pose estimation: A deep learning perspective W Liu, Q Bao, Y Sun, T Mei ACM Computing Surveys 55 (4), 1-41, 2022 | 203 | 2022 |
| Hierarchical LSTM with adjusted temporal attention for video captioning J Song, Z Guo, L Gao, W Liu, D Zhang, HT Shen arXiv preprint arXiv:1706.01231, 2017 | 194 | 2017 |
| Content-consistent matching for domain adaptive semantic segmentation G Li, G Kang, W Liu, Y Wei, Y Yang European conference on computer vision, 440-456, 2020 | 187 | 2020 |
| T-C3D: Temporal convolutional 3D network for real-time action recognition K Liu, W Liu, C Gan, M Tan, H Ma Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 172 | 2018 |
| Gait recognition in the wild with dense 3d representations and a benchmark J Zheng, X Liu, W Liu, L He, C Yan, T Mei Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 171 | 2022 |
| Putting people in their place: Monocular regression of 3d people in depth Y Sun, W Liu, Q Bao, Y Fu, T Mei, MJ Black Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 164 | 2022 |
| Guided saliency feature learning for person re-identification in crowded scenes L He, W Liu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 135 | 2020 |
| Third-eye: A mobilephone-enabled crowdsensing system for air quality monitoring L Liu, W Liu, Y Zheng, H Ma, C Zhang Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 106 | 2018 |
| Beyond the parts: Learning multi-view cross-part correlation for vehicle re-identification X Liu, W Liu, J Zheng, C Yan, T Mei Proceedings of the 28th ACM international conference on multimedia, 907-915, 2020 | 102 | 2020 |
| Hierarchical gumbel attention network for text-based person search K Zheng, W Liu, J Liu, ZJ Zha, T Mei Proceedings of the 28th ACM international conference on multimedia, 3441-3449, 2020 | 92 | 2020 |
Tao MeiHiDream.ai; Fellow of CAE/IEEE/IAPR/CAAIVerified email at hidream.ai
