| Vector neurons: A general framework for so (3)-equivariant networks C Deng, O Litany, Y Duan, A Poulenard, A Tagliasacchi, LJ Guibas Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 321 | 2021 |
| Deep adversarial metric learning Y Duan, W Zheng, X Lin, J Lu, J Zhou Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 272 | 2018 |
| Context-aware local binary feature learning for face recognition Y Duan, J Lu, J Feng, J Zhou IEEE transactions on pattern analysis and machine intelligence 40 (5), 1139-1153, 2017 | 236 | 2017 |
| Structural relational reasoning of point clouds Y Duan, Y Zheng, J Lu, J Zhou, Q Tian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 146 | 2019 |
| Uniformface: Learning deep equidistributed representation for face recognition Y Duan, J Lu, J Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 139 | 2019 |
| Deep variational metric learning X Lin, Y Duan, Q Dong, J Lu, J Zhou Proceedings of the European Conference on Computer Vision (ECCV), 689-704, 2018 | 131 | 2018 |
| Learning deep binary descriptor with multi-quantization Y Duan, J Lu, Z Wang, J Feng, J Zhou Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 124 | 2017 |
| Curriculum deepsdf Y Duan, H Zhu, H Wang, L Yi, R Nevatia, LJ Guibas Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 119 | 2020 |
| Learning dynamic facial radiance fields for few-shot talking head synthesis S Shen, W Li, Z Zhu, Y Duan, J Zhou, J Lu European conference on computer vision, 666-682, 2022 | 114 | 2022 |
| Captra: Category-level pose tracking for rigid and articulated objects from point clouds Y Weng, H Wang, Q Zhou, Y Qin, Y Duan, Q Fan, B Chen, H Su, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 105 | 2021 |
| Diffusion-sdf: Text-to-shape via voxelized diffusion M Li, Y Duan, J Zhou, J Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 101 | 2023 |
| Bridge-prompt: Towards ordinal action understanding in instructional videos M Li, L Chen, Y Duan, Z Hu, J Feng, J Zhou, J Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 78 | 2022 |
| Learning rotation-invariant local binary descriptor Y Duan, J Lu, J Feng, J Zhou IEEE Transactions on Image Processing 26 (8), 3636-3651, 2017 | 76 | 2017 |
| Building change detection with RGB-D map generated from UAV images B Chen, Z Chen, L Deng, Y Duan, J Zhou Neurocomputing 208, 350-364, 2016 | 76 | 2016 |
| Seggroup: Seg-level supervision for 3d instance and semantic segmentation A Tao, Y Duan, Y Wei, J Lu, J Zhou IEEE Transactions on Image Processing 31, 4952-4965, 2022 | 72 | 2022 |
| Deep localized metric learning Y Duan, J Lu, J Feng, J Zhou IEEE Transactions on Circuits and Systems for Video Technology 28 (10), 2644 …, 2017 | 72 | 2017 |
| If-defense: 3d adversarial point cloud defense via implicit function based restoration Z Wu, Y Duan, H Wang, Q Fan, LJ Guibas arXiv preprint arXiv:2010.05272, 2020 | 69 | 2020 |
| Learning transferable human-object interaction detector with natural language supervision S Wang, Y Duan, H Ding, YP Tan, KH Yap, J Yuan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 61 | 2022 |
| Occworld: Learning a 3d occupancy world model for autonomous driving W Zheng, W Chen, Y Huang, B Zhang, Y Duan, J Lu European conference on computer vision, 55-72, 2024 | 59 | 2024 |
| Deep embedding learning with discriminative sampling policy Y Duan, L Chen, J Lu, J Zhou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 53 | 2019 |
Jie ZhouProfessor, Department of Automation, Tsinghua UniversityEmail yang diverifikasi di tsinghua.edu.cn