Παρακολούθηση
Noah Snavely
Noah Snavely
Professor at Cornell Tech and Researcher at Google DeepMind
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα cs.cornell.edu - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Photo tourism: exploring photo collections in 3D
N Snavely, SM Seitz, R Szeliski
ACM siggraph 2006 papers, 835-846, 2006
48522006
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
32392017
Modeling the world from internet photo collections
N Snavely, SM Seitz, R Szeliski
International journal of computer vision 80, 189-210, 2008
29932008
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
29062011
Megadepth: Learning single-view depth prediction from internet photos
Z Li, N Snavely
Proceedings of the IEEE conference on computer vision and pattern …, 2018
12222018
Stereo magnification: Learning view synthesis using multiplane images
T Zhou, R Tucker, J Flynn, G Fyffe, N Snavely
arXiv preprint arXiv:1805.09817, 2018
10592018
Nerf++: Analyzing and improving neural radiance fields
K Zhang, G Riegler, N Snavely, V Koltun
arXiv preprint arXiv:2010.07492, 2020
10542020
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
9912007
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
9182021
Spacetime faces: high resolution capture for modeling and animation
L Zhang, N Snavely, B Curless, SM Seitz
ACM SIGGRAPH 2004 Papers, 548-558, 2004
7962004
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
7902021
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
7792016
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
6832015
Bundle adjustment in the large
S Agarwal, N Snavely, SM Seitz, R Szeliski
Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010
6252010
Location recognition using prioritized feature matching
Y Li, N Snavely, DP Huttenlocher
Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010
5812010
Worldwide Pose Estimation using 3D Point Clouds
Y Li, N Snavely, D Huttenlocher, P Fua
ECCV, 2012
5092012
Robust global translations with 1dsfm
K Wilson, N Snavely
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
5072014
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
4972019
Intrinsic images in the wild
S Bell, K Bala, N Snavely
ACM Transactions on Graphics (TOG) 33 (4), 1-12, 2014
4852014
Discrete-continuous optimization for large-scale structure from motion
D Crandall, A Owens, N Snavely, D Huttenlocher
CVPR 2011, 3001-3008, 2011
4682011
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