| Geodesc: Learning local descriptors by integrating geometry constraints Z Luo, T Shen, L Zhou, S Zhu, R Zhang, Y Yao, T Fang, L Quan Proceedings of the European conference on computer vision (ECCV), 168-183, 2018 | 145 | 2018 |
| Very large-scale global sfm by distributed motion averaging S Zhu, R Zhang, L Zhou, T Shen, T Fang, P Tan, L Quan Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 96 | 2018 |
| Graph-based consistent matching for structure-from-motion T Shen, S Zhu, T Fang, R Zhang, L Quan Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 84 | 2016 |
| Dense hybrid recurrent multi-view stereo net with dynamic consistency checking J Yan, Z Wei, H Yi, M Ding, R Zhang, Y Chen, G Wang, YW Tai Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 73 | 2020 |
| Distributed Very Large Scale Bundle Adjustment by Global Camera Consensus R Zhang, S Zhu, T Shen, L Zhou, Z Luo, T Fang, L Quan IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (2), 291-303, 2020 | 70 | 2020 |
| Distributed Very Large Scale Bundle Adjustment by Global Camera Consensus R Zhang, S Zhu, T Fang, L Quan Proceedings of the IEEE International Conference on Computer Vision, 29-38, 2017 | 70 | 2017 |
| Beyond photometric loss for self-supervised ego-motion estimation T Shen, Z Luo, L Zhou, H Deng, R Zhang, T Fang, L Quan 2019 International Conference on Robotics and Automation (ICRA), 6359-6365, 2019 | 69 | 2019 |
| Pyramid multi-view stereo net with self-adaptive view aggregation H Yi, Z Wei, M Ding, R Zhang, Y Chen, G Wang, YW Tai Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 58 | 2020 |
| Parallel structure from motion from local increment to global averaging S Zhu, T Shen, L Zhou, R Zhang, J Wang, T Fang, L Quan arXiv preprint arXiv:1702.08601, 2017 | 47* | 2017 |
| Matchable image retrieval by learning from surface reconstruction T Shen, Z Luo, L Zhou, R Zhang, S Zhu, T Fang, L Quan Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 37 | 2019 |
| Learning and matching multi-view descriptors for registration of point clouds L Zhou, S Zhu, Z Luo, T Shen, R Zhang, M Zhen, T Fang, L Quan Proceedings of the European Conference on Computer Vision (ECCV), 505-522, 2018 | 36 | 2018 |
| Joint camera clustering and surface segmentation for large-scale multi-view stereo R Zhang, S Li, T Fang, S Zhu, L Quan Proceedings of the IEEE International Conference on Computer Vision, 2084-2092, 2015 | 25 | 2015 |
| Vmnet: Voxel-mesh network for geodesic-aware 3d semantic segmentation Z Hu, X Bai, J Shang, R Zhang, J Dong, X Wang, G Sun, H Fu, CL Tai Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 23 | 2021 |
| Multi-view geometry compression S Zhu, T Fang, R Zhang, L Quan Computer Vision--ACCV 2014: 12th Asian Conference on Computer Vision …, 2015 | 3 | 2015 |
| Multi-scale Tetrahedral Fusion of a Similarity Reconstruction and Noisy Positional Measurements R Zhang, T Fang, S Zhu, L Quan ACCV 2014, 30-44, 2014 | 2 | 2014 |
| Voxel-mesh network for geodesic-aware 3D semantic segmentation of indoor scenes Z Hu, X Bai, J Shang, R Zhang, J Dong, X Wang, G Sun, H Fu, CL Tai IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 1 | 2022 |
| Correlation-based facade parsing using shape grammar R Zhang, R Deng, X He, G Zeng, R Gan, H Zha 2013 2nd IAPR Asian Conference on Pattern Recognition, 606-610, 2013 | 1 | 2013 |
| LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation Z Hu, X Bai, R Zhang, X Wang, G Sun, H Fu, CL Tai Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | | 2022 |
| Semantic Segmentation of Large-Scale Urban 3D Data with Low Annotation Cost J Wang, S Li, R Zhang, L Quan | | 2015 |
| VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation HU Zeyu, X Bai, J Shang, R Zhang, J Dong, X Wang, G Sun, H Fu, CL Tai | | |
Siyu ZhuDirector, Alibaba GroupBestätigte E-Mail-Adresse bei alibaba-inc.com
