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ORCIDNoah Snavely
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- affiliation: Cornell University, Ithaca, NY, USA
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2020 – today
- 2022
[i52]Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, William T. Freeman:
Unsupervised Semantic Segmentation by Distilling Feature Correspondences. CoRR abs/2203.08414 (2022)- [i51]Kai Zhang, Fujun Luan, Zhengqi Li, Noah Snavely:
IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images. CoRR abs/2204.02232 (2022) - [i50]Vickie Ye, Zhengqi Li, Richard Tucker, Angjoo Kanazawa, Noah Snavely:
Deformable Sprites for Unsupervised Video Decomposition. CoRR abs/2204.07151 (2022) - 2021
- [j26]Tali Dekel, Noah Snavely:
Unveiling unexpected training data in internet video. Commun. ACM 64(8): 69-79 (2021) - [j25]Zhengqi Li
, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman:
MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4229-4241 (2021) - [j24]Scott Wehrwein, Kavita Bala, Noah Snavely:
Scene Summarization via Motion Normalization. IEEE Trans. Vis. Comput. Graph. 27(4): 2495-2501 (2021) - [c87]Kefan Chen, Noah Snavely, Ameesh Makadia:
Wide-Baseline Relative Camera Pose Estimation With Directional Learning. CVPR 2021: 3258-3268 - [c86]Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul P. Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas A. Funkhouser:
IBRNet: Learning Multi-View Image-Based Rendering. CVPR 2021: 4690-4699 - [c85]Yifan Wang, Andrew Liu, Richard Tucker, Jiajun Wu, Brian L. Curless, Steven M. Seitz, Noah Snavely:
Repopulating Street Scenes. CVPR 2021: 5110-5119 - [c84]Kai Zhang, Fujun Luan, Qianqian Wang, Kavita Bala, Noah Snavely:
PhySG: Inverse Rendering With Spherical Gaussians for Physics-Based Material Editing and Relighting. CVPR 2021: 5453-5462 - [c83]Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa:
De-Rendering the World's Revolutionary Artefacts. CVPR 2021: 6338-6347 - [c82]Zhengqi Li, Simon Niklaus, Noah Snavely, Oliver Wang:
Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes. CVPR 2021: 6498-6508 - [c81]Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa:
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. CVPR 2021: 12783-12792 - [c80]Ruojin Cai, Bharath Hariharan, Noah Snavely, Hadar Averbuch-Elor:
Extreme Rotation Estimation Using Dense Correlation Volumes. CVPR 2021: 14566-14575 - [c79]Xiaoshi Wu, Hadar Averbuch-Elor, Jin Sun, Noah Snavely:
Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal Vision. ICCV 2021: 418-427 - [c78]Claire Yuqing Cui, Apoorv Khandelwal, Yoav Artzi, Noah Snavely, Hadar Averbuch-Elor:
Who's Waldo? Linking People Across Text and Images. ICCV 2021: 1354-1364 - [c77]Andrew Liu, Ameesh Makadia, Richard Tucker, Noah Snavely, Varun Jampani, Angjoo Kanazawa:
Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image. ICCV 2021: 14438-14447 - [i49]Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul P. Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas A. Funkhouser:
IBRNet: Learning Multi-View Image-Based Rendering. CoRR abs/2102.13090 (2021) - [i48]Yifan Wang, Andrew Liu, Richard Tucker, Jiajun Wu, Brian L. Curless, Steven M. Seitz, Noah Snavely:
Repopulating Street Scenes. CoRR abs/2103.16183 (2021) - [i47]Kai Zhang, Fujun Luan, Qianqian Wang, Kavita Bala, Noah Snavely:
PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting. CoRR abs/2104.00674 (2021) - [i46]Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa:
De-rendering the World's Revolutionary Artefacts. CoRR abs/2104.03954 (2021) - [i45]Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa:
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. CoRR abs/2104.11224 (2021) - [i44]Ruojin Cai, Bharath Hariharan, Noah Snavely, Hadar Averbuch-Elor:
Extreme Rotation Estimation using Dense Correlation Volumes. CoRR abs/2104.13530 (2021) - [i43]Kefan Chen, Noah Snavely, Ameesh Makadia:
Wide-Baseline Relative Camera Pose Estimation with Directional Learning. CoRR abs/2106.03336 (2021) - [i42]Xiaoshi Wu, Hadar Averbuch-Elor, Jin Sun, Noah Snavely:
Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal Vision. CoRR abs/2108.05863 (2021) - [i41]Claire Yuqing Cui, Apoorv Khandelwal, Yoav Artzi, Noah Snavely, Hadar Averbuch-Elor:
Who's Waldo? Linking People Across Text and Images. CoRR abs/2108.07253 (2021) - [i40]Richard Strong Bowen, Richard Tucker, Ramin Zabih, Noah Snavely:
Dimensions of Motion: Learning to Predict a Subspace of Optical Flow from a Single Image. CoRR abs/2112.01502 (2021) - 2020
- [c76]Muhammad Usman Rafique, Hunter Blanton, Noah Snavely, Nathan Jacobs:
Generative Appearance Flow: A Hybrid Approach for Outdoor View Synthesis. BMVC 2020 - [c75]Richard Tucker, Noah Snavely:
Single-View View Synthesis With Multiplane Images. CVPR 2020: 548-557 - [c74]Kai Zhang, Jiaxin Xie, Noah Snavely, Qifeng Chen:
Depth Sensing Beyond LiDAR Range. CVPR 2020: 1689-1697 - [c73]Zekun Hao, Hadar Averbuch-Elor, Noah Snavely, Serge J. Belongie:
DualSDF: Semantic Shape Manipulation Using a Two-Level Representation. CVPR 2020: 7628-7638 - [c72]Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely:
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination. CVPR 2020: 8077-8086 - [c71]Zhiqiu Lin, Jin Sun, Abe Davis, Noah Snavely:
Visual Chirality. CVPR 2020: 12292-12300 - [c70]Zhengqi Li, Wenqi Xian, Abe Davis, Noah Snavely:
Crowdsampling the Plenoptic Function. ECCV (1) 2020: 178-196 - [c69]Jin Sun, Hadar Averbuch-Elor, Qianqian Wang, Noah Snavely:
Hidden Footprints: Learning Contextual Walkability from 3D Human Trails. ECCV (18) 2020: 192-207 - [c68]Ruojin Cai, Guandao Yang, Hadar Averbuch-Elor, Zekun Hao, Serge J. Belongie, Noah Snavely, Bharath Hariharan:
Learning Gradient Fields for Shape Generation. ECCV (3) 2020: 364-381 - [c67]Andrew Liu, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros, Noah Snavely:
Learning to Factorize and Relight a City. ECCV (4) 2020: 544-561 - [c66]Qianqian Wang, Xiaowei Zhou, Bharath Hariharan, Noah Snavely:
Learning Feature Descriptors Using Camera Pose Supervision. ECCV (1) 2020: 757-774 - [c65]Philippos Mordohai, Konstantinos Batsos, Ameesh Makadia, Noah Snavely:
NBVC: A Benchmark for Depth Estimation from Narrow-Baseline Video Clips. IROS 2020: 10076-10083 - [c64]Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, Ameesh Makadia:
An Analysis of SVD for Deep Rotation Estimation. NeurIPS 2020 - [c63]Yikai Li, Jiayuan Mao, Xiuming Zhang, Bill Freeman, Josh Tenenbaum, Noah Snavely, Jiajun Wu:
Multi-Plane Program Induction with 3D Box Priors. NeurIPS 2020 - [c62]Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein:
MetaSDF: Meta-Learning Signed Distance Functions. NeurIPS 2020 - [i39]Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely:
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination. CoRR abs/2003.08367 (2020) - [i38]Zekun Hao, Hadar Averbuch-Elor, Noah Snavely, Serge J. Belongie:
DualSDF: Semantic Shape Manipulation using a Two-Level Representation. CoRR abs/2004.02869 (2020) - [i37]Kai Zhang, Jiaxin Xie, Noah Snavely, Qifeng Chen:
Depth Sensing Beyond LiDAR Range. CoRR abs/2004.03048 (2020) - [i36]Richard Tucker, Noah Snavely:
Single-View View Synthesis with Multiplane Images. CoRR abs/2004.11364 (2020) - [i35]Ranjita Thapa, Noah Snavely, Serge J. Belongie, Awais Khan:
The Plant Pathology 2020 challenge dataset to classify foliar disease of apples. CoRR abs/2004.11958 (2020) - [i34]Qianqian Wang, Xiaowei Zhou, Bharath Hariharan, Noah Snavely:
Learning Feature Descriptors using Camera Pose Supervision. CoRR abs/2004.13324 (2020) - [i33]Zhiqiu Lin, Jin Sun, Abe Davis, Noah Snavely:
Visual Chirality. CoRR abs/2006.09512 (2020) - [i32]Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein:
MetaSDF: Meta-learning Signed Distance Functions. CoRR abs/2006.09662 (2020) - [i31]Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, Ameesh Makadia:
An Analysis of SVD for Deep Rotation Estimation. CoRR abs/2006.14616 (2020) - [i30]Zhengqi Li, Wenqi Xian, Abe Davis, Noah Snavely:
Crowdsampling the Plenoptic Function. CoRR abs/2007.15194 (2020) - [i29]Andrew Liu, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros, Noah Snavely:
Learning to Factorize and Relight a City. CoRR abs/2008.02796 (2020) - [i28]Ruojin Cai, Guandao Yang, Hadar Averbuch-Elor, Zekun Hao, Serge J. Belongie, Noah Snavely, Bharath Hariharan:
Learning Gradient Fields for Shape Generation. CoRR abs/2008.06520 (2020) - [i27]Jin Sun, Hadar Averbuch-Elor, Qianqian Wang, Noah Snavely:
Hidden Footprints: Learning Contextual Walkability from 3D Human Trails. CoRR abs/2008.08701 (2020) - [i26]Kai Zhang, Gernot Riegler, Noah Snavely, Vladlen Koltun:
NeRF++: Analyzing and Improving Neural Radiance Fields. CoRR abs/2010.07492 (2020) - [i25]Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Noah Snavely, Jiajun Wu:
Multi-Plane Program Induction with 3D Box Priors. CoRR abs/2011.10007 (2020) - [i24]Zhengqi Li, Simon Niklaus, Noah Snavely, Oliver Wang:
Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes. CoRR abs/2011.13084 (2020) - [i23]Margot J. Hanley, Apoorv Khandelwal, Hadar Averbuch-Elor, Noah Snavely, Helen Nissenbaum:
An Ethical Highlighter for People-Centric Dataset Creation. CoRR abs/2011.13583 (2020) - [i22]Andrew Liu, Richard Tucker, Varun Jampani, Ameesh Makadia, Noah Snavely, Angjoo Kanazawa:
Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image. CoRR abs/2012.09855 (2020)
2010 – 2019
- 2019
- [c61]Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely:
Pushing the Boundaries of View Extrapolation With Multiplane Images. CVPR 2019: 175-184 - [c60]John Flynn, Michael Broxton, Paul E. Debevec, Matthew DuVall, Graham Fyffe, Ryan S. Overbeck, Noah Snavely, Richard Tucker:
DeepView: View Synthesis With Learned Gradient Descent. CVPR 2019: 2367-2376 - [c59]Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman:
Learning the Depths of Moving People by Watching Frozen People. CVPR 2019: 4521-4530 - [c58]Moustafa Meshry, Dan B. Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla:
Neural Rerendering in the Wild. CVPR 2019: 6878-6887 - [c57]Howard Chen, Alane Suhr, Dipendra Misra, Noah Snavely, Yoav Artzi:
TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments. CVPR 2019: 12538-12547 - [c56]Utkarsh Mall, Kevin Matzen, Bharath Hariharan, Noah Snavely, Kavita Bala:
GeoStyle: Discovering Fashion Trends and Events. ICCV 2019: 411-420 - [c55]Wenqi Xian, Zhengqi Li, Noah Snavely, Matthew Fisher, Jonathan Eisenmann, Eli Shechtman:
UprightNet: Geometry-Aware Camera Orientation Estimation From Single Images. ICCV 2019: 9973-9982 - [c54]Kai Zhang, Noah Snavely, Jin Sun:
Leveraging Vision Reconstruction Pipelines for Satellite Imagery. ICCV Workshops 2019: 2139-2148 - [i21]Moustafa Meshry, Dan B. Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla:
Neural Rerendering in the Wild. CoRR abs/1904.04290 (2019) - [i20]Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman:
Learning the Depths of Moving People by Watching Frozen People. CoRR abs/1904.11111 (2019) - [i19]Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely:
Pushing the Boundaries of View Extrapolation with Multiplane Images. CoRR abs/1905.00413 (2019) - [i18]John Flynn, Michael Broxton, Paul E. Debevec, Matthew DuVall, Graham Fyffe, Ryan S. Overbeck, Noah Snavely, Richard Tucker:
DeepView: View Synthesis with Learned Gradient Descent. CoRR abs/1906.07316 (2019) - [i17]Wenqi Xian, Zhengqi Li, Matthew Fisher, Jonathan Eisenmann, Eli Shechtman, Noah Snavely:
UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images. CoRR abs/1908.07070 (2019) - [i16]Utkarsh Mall, Kevin Matzen, Bharath Hariharan, Noah Snavely, Kavita Bala:
GeoStyle: Discovering Fashion Trends and Events. CoRR abs/1908.11412 (2019) - [i15]Kai Zhang, Jin Sun, Noah Snavely:
Leveraging Vision Reconstruction Pipelines for Satellite Imagery. CoRR abs/1910.02989 (2019) - 2018
- [j23]Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, Noah Snavely:
Stereo magnification: learning view synthesis using multiplane images. ACM Trans. Graph. 37(4): 65:1-65:12 (2018) - [c53]Zhengqi Li, Noah Snavely:
MegaDepth: Learning Single-View Depth Prediction From Internet Photos. CVPR 2018: 2041-2050 - [c52]Zhengqi Li, Noah Snavely:
Learning Intrinsic Image Decomposition From Watching the World. CVPR 2018: 9039-9048 - [c51]Shubham Tulsiani, Richard Tucker, Noah Snavely:
Layer-Structured 3D Scene Inference via View Synthesis. ECCV (7) 2018: 311-327 - [c50]Zhengqi Li, Noah Snavely:
CGIntrinsics: Better Intrinsic Image Decomposition Through Physically-Based Rendering. ECCV (3) 2018: 381-399 - [c49]Supasorn Suwajanakorn, Noah Snavely, Jonathan Tompson, Mohammad Norouzi:
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning. NeurIPS 2018: 2063-2074 - [i14]Zhengqi Li, Noah Snavely:
Learning Intrinsic Image Decomposition from Watching the World. CoRR abs/1804.00582 (2018) - [i13]Zhengqi Li, Noah Snavely:
MegaDepth: Learning Single-View Depth Prediction from Internet Photos. CoRR abs/1804.00607 (2018) - [i12]Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, Noah Snavely:
Stereo Magnification: Learning View Synthesis using Multiplane Images. CoRR abs/1805.09817 (2018) - [i11]Supasorn Suwajanakorn, Noah Snavely, Jonathan Tompson, Mohammad Norouzi:
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning. CoRR abs/1807.03146 (2018) - [i10]Shubham Tulsiani, Richard Tucker, Noah Snavely:
Layer-structured 3D Scene Inference via View Synthesis. CoRR abs/1807.10264 (2018) - [i9]Zhengqi Li, Noah Snavely:
CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering. CoRR abs/1808.08601 (2018) - [i8]Howard Chen, Alane Suhr, Dipendra Kumar Misra, Noah Snavely, Yoav Artzi:
Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments. CoRR abs/1811.12354 (2018) - 2017
- [j22]William T. Freeman, Andreas E. Savakis, Yoav Y. Schechner, Noah Snavely, Wolfgang Heidrich:
Guest Editorial Special Issue on Extreme Imaging. IEEE Trans. Computational Imaging 3(3): 382-383 (2017) - [c48]Balazs Kovacs, Sean Bell, Noah Snavely, Kavita Bala:
Shading Annotations in the Wild. CVPR 2017: 850-859 - [c47]Paul Upchurch, Jacob R. Gardner, Geoff Pleiss, Robert Pless, Noah Snavely, Kavita Bala, Kilian Q. Weinberger:
Deep Feature Interpolation for Image Content Changes. CVPR 2017: 6090-6099 - [c46]Tinghui Zhou, Matthew Brown, Noah Snavely, David G. Lowe:
Unsupervised Learning of Depth and Ego-Motion from Video. CVPR 2017: 6612-6619 - [i7]Tinghui Zhou, Matthew Brown, Noah Snavely, David G. Lowe:
Unsupervised Learning of Depth and Ego-Motion from Video. CoRR abs/1704.07813 (2017) - [i6]Balazs Kovacs, Sean Bell, Noah Snavely, Kavita Bala:
Shading Annotations in the Wild. CoRR abs/1705.01156 (2017) - [i5]Kevin Matzen, Kavita Bala, Noah Snavely:
StreetStyle: Exploring world-wide clothing styles from millions of photos. CoRR abs/1706.01869 (2017) - 2016
- [j21]Albert J. Liu, Steve Marschner, Noah Snavely:
Caliber: Camera Localization and Calibration Using Rigidity Constraints. Int. J. Comput. Vis. 118(1): 1-21 (2016) - [j20]Daniel Cabrini Hauagge, Scott Wehrwein, Kavita Bala, Noah Snavely:
Photometric Ambient Occlusion for Intrinsic Image Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 38(4): 639-651 (2016) - [j19]Robert Anderson, David Gallup, Jonathan T. Barron, Janne Kontkanen, Noah Snavely, Carlos Hernández, Sameer Agarwal, Steven M. Seitz:
Jump: virtual reality video. ACM Trans. Graph. 35(6): 198:1-198:13 (2016) - [c45]John Flynn, Ivan Neulander, James Philbin, Noah Snavely:
Deep Stereo: Learning to Predict New Views from the World's Imagery. CVPR 2016: 5515-5524 - [c44]Kyle Wilson, David Bindel, Noah Snavely:
When is Rotations Averaging Hard? ECCV (7) 2016: 255-270 - [p1]Yunpeng Li, Noah Snavely, Daniel P. Huttenlocher, Pascal Fua:
Worldwide Pose Estimation Using 3D Point Clouds. Large-Scale Visual Geo-Localization 2016: 147-163 - [i4]Paul Upchurch, Noah Snavely, Kavita Bala:
From A to Z: Supervised Transfer of Style and Content Using Deep Neural Network Generators. CoRR abs/1603.02003 (2016) - [i3]Paul Upchurch, Jacob R. Gardner, Kavita Bala, Robert Pless, Noah Snavely, Kilian Q. Weinberger:
Deep Feature Interpolation for Image Content Changes. CoRR abs/1611.05507 (2016) - 2015
- [j18]Noah Snavely:
Technical Perspective: Paris Beyond Frommer's. Commun. ACM 58(12): 102 (2015) - [j17]Song Cao, Noah Snavely:
Graph-Based Discriminative Learning for Location Recognition. Int. J. Comput. Vis. 112(2): 239-254 (2015) - [c43]Scott Wehrwein, Kavita Bala, Noah Snavely:
Shadow Detection and Sun Direction in Photo Collections. 3DV 2015: 460-468 - [c42]Sean Bell, Paul Upchurch, Noah Snavely, Kavita Bala:
Material recognition in the wild with the Materials in Context Database. CVPR 2015: 3479-3487 - [c41]Kathleen Tuite, Rahul Banerjee, Noah Snavely, Jovan Popovic, Zoran Popovic:
PointCraft: Harnessing Players' FPS Skills to Interactively Trace Point Clouds in 3D. FDG 2015 - [c40]Kevin Matzen, Noah Snavely:
BubbLeNet: Foveated Imaging for Visual Discovery. ICCV 2015: 1931-1939 - [i2]John Flynn, Ivan Neulander, James Philbin, Noah Snavely:
DeepStereo: Learning to Predict New Views from the World's Imagery. CoRR abs/1506.06825 (2015) - 2014
- [j16]Sean Bell, Kavita Bala, Noah Snavely:
Intrinsic images in the wild. ACM Trans. Graph. 33(4): 159:1-159:12 (2014) - [c39]Daniel Cabrini Hauagge, Scott Wehrwein, Paul Upchurch, Kavita Bala, Noah Snavely:
Reasoning about Photo Collections using Models of Outdoor Illumination. BMVC 2014 - [c38]Song Cao, Noah Snavely:
Minimal Scene Descriptions from Structure from Motion Models. CVPR 2014: 461-468 - [c37]Kyle Wilson, Noah Snavely:
Robust Global Translations with 1DSfM. ECCV (3) 2014: 61-75 - [c36]Kevin Matzen, Noah Snavely:
Scene Chronology. ECCV (7) 2014: 615-630 - [i1]Sean Bell, Paul Upchurch, Noah Snavely, Kavita Bala:
Material recognition in the wild with the Materials in Context Database. CoRR abs/1412.0623 (2014) - 2013
- [j15]David J. Crandall, Andrew Owens, Noah Snavely, Daniel P. Huttenlocher:
SfM with MRFs: Discrete-Continuous Optimization for Large-Scale Structure from Motion. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 2841-2853 (2013) - [j14]Sean Bell, Paul Upchurch, Noah Snavely, Kavita Bala:
OpenSurfaces: a richly annotated catalog of surface appearance. ACM Trans. Graph. 32(4): 111:1-111:17 (2013) - [j13]Richard Szeliski, Noah Snavely, Steven M. Seitz:
Navigating the worldwide community of photos. ACM Trans. Multim. Comput. Commun. Appl. 9(1s): 47:1-47:4 (2013) - [c35]Chun-Po Wang, Kyle Wilson, Noah Snavely:
Accurate Georegistration of Point Clouds Using Geographic Data. 3DV 2013: 33-40 - [c34]Song Cao, Noah Snavely:
Graph-Based Discriminative Learning for Location Recognition. CVPR 2013: 700-707 - [c33]Daniel Cabrini Hauagge, Scott Wehrwein, Kavita Bala, Noah Snavely:
Photometric Ambient Occlusion. CVPR 2013: 2515-2522 - [c32]Kyle Wilson, Noah Snavely:
Network Principles for SfM: Disambiguating Repeated Structures with Local Context. ICCV 2013: 513-520 - [c31]Kevin Matzen, Noah Snavely:
NYC3DCars: A Dataset of 3D Vehicles in Geographic Context. ICCV 2013: 761-768 - 2012
- [j12]David J. Crandall, Noah Snavely:
Modeling people and places with internet photo collections. Commun. ACM 55(6): 52-60 (2012) - [j11]Guowei Wan, Noah Snavely, Daniel Cohen-Or, Qian Zheng, Baoquan Chen, Sikun Li:
Sorting unorganized photo sets for urban reconstruction. Graph. Model. 74(1): 14-28 (2012) - [c30]