| Photo tourism: exploring photo collections in 3D N Snavely, SM Seitz, R Szeliski ACM siggraph 2006 papers, 835-846, 2006 | 4852 | 2006 |
| Unsupervised learning of depth and ego-motion from video T Zhou, M Brown, N Snavely, DG Lowe Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 3239 | 2017 |
| Modeling the world from internet photo collections N Snavely, SM Seitz, R Szeliski International journal of computer vision 80, 189-210, 2008 | 2993 | 2008 |
| Building rome in a day S Agarwal, Y Furukawa, N Snavely, I Simon, B Curless, SM Seitz, ... Communications of the ACM 54 (10), 105-112, 2011 | 2906 | 2011 |
| Megadepth: Learning single-view depth prediction from internet photos Z Li, N Snavely Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1222 | 2018 |
| Stereo magnification: Learning view synthesis using multiplane images T Zhou, R Tucker, J Flynn, G Fyffe, N Snavely arXiv preprint arXiv:1805.09817, 2018 | 1059 | 2018 |
| Nerf++: Analyzing and improving neural radiance fields K Zhang, G Riegler, N Snavely, V Koltun arXiv preprint arXiv:2010.07492, 2020 | 1054 | 2020 |
| Multi-view stereo for community photo collections M Goesele, N Snavely, B Curless, H Hoppe, SM Seitz 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 991 | 2007 |
| Ibrnet: Learning multi-view image-based rendering Q Wang, Z Wang, K Genova, PP Srinivasan, H Zhou, JT Barron, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 918 | 2021 |
| Spacetime faces: high resolution capture for modeling and animation L Zhang, N Snavely, B Curless, SM Seitz ACM SIGGRAPH 2004 Papers, 548-558, 2004 | 796 | 2004 |
| Neural scene flow fields for space-time view synthesis of dynamic scenes Z Li, S Niklaus, N Snavely, O Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 790 | 2021 |
| Deepstereo: Learning to predict new views from the world's imagery J Flynn, I Neulander, J Philbin, N Snavely Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 779 | 2016 |
| Material recognition in the wild with the materials in context database S Bell, P Upchurch, N Snavely, K Bala Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 683 | 2015 |
| Bundle adjustment in the large S Agarwal, N Snavely, SM Seitz, R Szeliski Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 625 | 2010 |
| Location recognition using prioritized feature matching Y Li, N Snavely, DP Huttenlocher Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 581 | 2010 |
| Worldwide Pose Estimation using 3D Point Clouds Y Li, N Snavely, D Huttenlocher, P Fua ECCV, 2012 | 509 | 2012 |
| Robust global translations with 1dsfm K Wilson, N Snavely Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 507 | 2014 |
| Deepview: View synthesis with learned gradient descent J Flynn, M Broxton, P Debevec, M DuVall, G Fyffe, R Overbeck, N Snavely, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 497 | 2019 |
| Intrinsic images in the wild S Bell, K Bala, N Snavely ACM Transactions on Graphics (TOG) 33 (4), 1-12, 2014 | 485 | 2014 |
| Discrete-continuous optimization for large-scale structure from motion D Crandall, A Owens, N Snavely, D Huttenlocher CVPR 2011, 3001-3008, 2011 | 468 | 2011 |
Steve SeitzProfessor of Computer Science & Engineering, University of Washington; Google Corporation確認したメール アドレス: cs.washington.edu