| The elements of end-to-end deep face recognition: A survey of recent advances H Du, H Shi, D Zeng, XP Zhang, T Mei ACM Computing Surveys (CSUR) 54 (10s), 1-42, 2022 | 151 | 2022 |
| Towards NIR-VIS masked face recognition H Du, H Shi, Y Liu, D Zeng, T Mei IEEE Signal Processing Letters 28, 768-772, 2021 | 54 | 2021 |
| Fbnet: Feedback network for point cloud completion X Yan, H Yan, J Wang, H Du, Z Wu, D Xie, S Pu, L Lu European Conference on Computer Vision, 676-693, 2022 | 44 | 2022 |
| Semi-siamese training for shallow face learning H Du, H Shi, Y Liu, J Wang, Z Lei, D Zeng, T Mei Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 31 | 2020 |
| Point cloud upsampling via cascaded refinement network H Du, X Yan, J Wang, D Xie, S Pu Proceedings of the Asian Conference on Computer Vision, 586-601, 2022 | 29 | 2022 |
| Boosting semi-supervised face recognition with noise robustness Y Liu, H Shi, H Du, R Zhu, J Wang, L Zheng, T Mei IEEE Transactions on Circuits and Systems for Video Technology 32 (2), 778-787, 2021 | 22 | 2021 |
| NPCFace: A negative-positive cooperation supervision for training large-scale face recognition D Zeng, H Shi, H Du, J Wang, Z Lei, T Mei arXiv preprint arXiv:2007.10172, 2020 | 16 | 2020 |
| Rethinking the approximation error in 3d surface fitting for point cloud normal estimation H Du, X Yan, J Wang, D Xie, S Pu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 15 | 2023 |
| Npcface: Negative-positive collaborative training for large-scale face recognition D Zeng, H Shi, H Du, J Wang, Z Lei, T Mei arXiv preprint arXiv:2007.10172, 2020 | 13 | 2020 |
| Cloud detection using super pixel classification and semantic segmentation H Liu, H Du, D Zeng, Q Tian Journal of Computer Science and Technology 34, 622-633, 2019 | 13 | 2019 |
| Multi-agent semi-siamese training for long-tail and shallow face learning Y Tai, H Shi, D Zeng, H Du, Y Hu, Z Zhang, Z Zhang, T Mei ACM Transactions on Multimedia Computing, Communications and Applications 19 …, 2023 | 5 | 2023 |
| Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning H Du, X Yan, J Wang, D Xie, S Pu Proceedings of the AAAI Conference on Artificial Intelligence 38 (2), 1626-1634, 2024 | 4 | 2024 |
| Scale Attention for Learning Deep Face Representation: A Study Against Visual Scale Variation H Shi, H Du, Y Hu, J Wang, D Zeng, T Yao arXiv preprint arXiv:2209.08788, 2022 | | 2022 |
| 基于超像素分类和语义分割的云检测算法 H Liu, H Du, D Zeng, Q Tian 计算机科学技术学报 34 (3), 622-633, 2019 | | 2019 |
| Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation: Supplementary Materials H Du, X Yan, J Wang, D Xie, S Pu | | |
| Supplementary Materials for Point Cloud Upsampling via Cascaded Refinement Network H Du, X Yan, J Wang, D Xie, S Pu | | |
| Supplementary for “FBNet: Feedback Network for Point Cloud Completion” X Yan, H Yan, J Wang, H Du, Z Wu, D Xie, S Pu, L Lu Training 2 (5.06), 0.530, 0 | | |
| Semi-Siamese Training for Shallow Face Learning Supplementary Material H Du, H Shi, Y Liu, J Wang, Z Lei, D Zeng, T Mei | | |