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 | 1353 | 2018 |
Linear n-point camera pose determination L Quan, Z Lan IEEE Transactions on pattern analysis and machine intelligence 21 (8), 774-780, 1999 | 889 | 1999 |
Image deblurring with blurred/noisy image pairs L Yuan, J Sun, L Quan, HY Shum ACM SIGGRAPH 2007 papers, 1-es, 2007 | 868 | 2007 |
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 | 615 | 2019 |
A quasi-dense approach to surface reconstruction from uncalibrated images M Lhuillier, L Quan IEEE transactions on pattern analysis and machine intelligence 27 (3), 418-433, 2005 | 607 | 2005 |
Image-based plant modeling L Quan, P Tan, G Zeng, L Yuan, J Wang, SB Kang ACM Siggraph 2006 Papers, 599-604, 2006 | 478 | 2006 |
D3feat: Joint learning of dense detection and description of 3d local features X Bai, Z Luo, L Zhou, H Fu, L Quan, CL Tai Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 421 | 2020 |
Learning two-view correspondences and geometry using order-aware network J Zhang, D Sun, Z Luo, A Yao, L Zhou, T Shen, Y Chen, L Quan, H Liao Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 418 | 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 | 413 | 2020 |
Image-based tree modeling P Tan, G Zeng, J Wang, SB Kang, L Quan ACM SIGGRAPH 2007 papers, 87-es, 2007 | 354 | 2007 |
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 | 330 | 2020 |
Relative 3D reconstruction using multiple uncalibrated images R Mohr, L Quan, F Veillon The International Journal of Robotics Research 14 (6), 619-632, 1995 | 326 | 1995 |
Progressive inter-scale and intra-scale non-blind image deconvolution L Yuan, J Sun, L Quan, HY Shum Acm Transactions on Graphics (TOG) 27 (3), 1-10, 2008 | 312 | 2008 |
Match propagation for image-based modeling and rendering M Lhuillier, L Quan IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (8), 1140-1146, 2002 | 291 | 2002 |
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 | 286 | 2019 |
Image-based street-side city modeling J Xiao, T Fang, P Zhao, M Lhuillier, L Quan ACM SIGGRAPH Asia 2009 papers, 1-12, 2009 | 248 | 2009 |
Image-based façade modeling J Xiao, T Fang, P Tan, P Zhao, E Ofek, L Quan ACM SIGGRAPH Asia 2008 papers, 1-10, 2008 | 240 | 2008 |
Multiple view semantic segmentation for street view images J Xiao, L Quan 2009 IEEE 12th international conference on computer vision, 686-693, 2009 | 216 | 2009 |
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 | 213 | 2018 |
Robust dual motion deblurring J Chen, L Yuan, CK Tang, L Quan 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 206 | 2008 |