| Mvsnet: Depth inference for unstructured multi-view stereo Y Yao, Z Luo, S Li, T Fang, L Quan Proceedings of the European Conference on Computer Vision (ECCV), 767-783, 2018 | 1133 | 2018 |
| Recurrent mvsnet for high-resolution multi-view stereo depth inference Y Yao, Z Luo, S Li, T Shen, T Fang, L Quan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 519 | 2019 |
| Blendedmvs: A large-scale dataset for generalized multi-view stereo networks Y Yao, Z Luo, S Li, J Zhang, Y Ren, L Zhou, T Fang, L Quan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 335 | 2020 |
| Aslfeat: Learning local features of accurate shape and localization Z Luo, L Zhou, X Bai, H Chen, J Zhang, Y Yao, S Li, T Fang, L Quan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 284 | 2020 |
| Contextdesc: Local descriptor augmentation with cross-modality context Z Luo, T Shen, L Zhou, J Zhang, Y Yao, S Li, T Fang, L Quan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 264 | 2019 |
| Image-based street-side city modeling J Xiao, T Fang, P Zhao, M Lhuillier, L Quan ACM Transactions on Graphics (TOG) 28 (5), 114, 2009 | 244 | 2009 |
| Image-based façade modeling J Xiao, T Fang, P Tan, P Zhao, E Ofek, L Quan ACM Transactions on Graphics (TOG) 27 (5), 161, 2008 | 235 | 2008 |
| 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 | 200 | 2018 |
| Single image tree modeling P Tan, T Fang, J Xiao, P Zhao, L Quan ACM Transactions on Graphics (TOG) 27 (5), 108, 2008 | 196 | 2008 |
| A Multiscale and Hierarchical Feature Extraction Method for Terrestrial Laser Scanning Point Cloud Classification Z Wang, L Zhang, T Fang, PT Mathiopoulos, X Tong, H Qu, Z Xiao, F Li, ... Geoscience and Remote Sensing, IEEE Transactions on 53 (5), 2409--2425, 2015 | 180 | 2015 |
| 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 | 154 | 2018 |
| Generating three-dimensional fadeçade models from images L Quan, J Xiao, T Fang, P Zhao US Patent App. 12/692,155, 2010 | 145* | 2010 |
| Self-supervised monocular 3d face reconstruction by occlusion-aware multi-view geometry consistency J Shang, T Shen, S Li, L Zhou, M Zhen, T Fang, L Quan Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 143 | 2020 |
| Joint semantic segmentation and boundary detection using iterative pyramid contexts M Zhen, J Wang, L Zhou, S Li, T Shen, J Shang, T Fang, L Quan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 136 | 2020 |
| Generating three-dimensional models from images L Quan, J Xiao, T Fang, P Zhao US Patent 8,798,965, 2014 | 125 | 2014 |
| Image-based procedural remodeling of buildings L Quan, P Zhao, T Fang, H Zhang US Patent App. 13/010,193, 2011 | 121* | 2011 |
| 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 | 96 | 2019 |
| Aspanformer: Detector-free image matching with adaptive span transformer H Chen, Z Luo, L Zhou, Y Tian, M Zhen, T Fang, D Mckinnon, Y Tsin, ... European Conference on Computer Vision, 20-36, 2022 | 95 | 2022 |
| Graph-based consistent matching for structure-from-motion T Shen, S Zhu, T Fang, R Zhang, L Quan European Conference on Computer Vision, 139-155, 2016 | 95 | 2016 |
| Distributed Very Large Scale Bundle Adjustment by Global Camera Consensus R Zhang, S Zhu, T Fang, L Quan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 87 | 2017 |
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