Jon Barron

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Pratul SrinivasanResearch Scientist at Google ResearchVerified email at google.com
Jitendra MalikProfessor of EECS, UC BerkeleyVerified email at eecs.berkeley.edu
Ben MildenhallResearch scientist at Google ResearchVerified email at google.com
Ren NgProfessor in Computer Science, University of California, BerkeleyVerified email at berkeley.edu
Jiawen ChenResearch Scientist at AdobeVerified email at adobe.com
Ravi RamamoorthiProfessor of Computer Science, University of California, San DiegoVerified email at cs.ucsd.edu
Matthew TancikGraduate student, UC BerkeleyVerified email at berkeley.edu
Tianfan XueGoogle ResearchVerified email at csail.mit.edu
Neal WadhwaGoogle ResearchVerified email at mit.edu
Rahul GargStaff Research Scientist, Google Inc.Verified email at google.com
Yun-Ta TsaiStaff Software Engineer at TeslaVerified email at tesla.com
Pablo ArbelaezUniversidad de los Andes, ColombiaVerified email at uniandes.edu.co
Sam HasinoffSoftware Engineer, GoogleVerified email at google.com
Noah SnavelyAssociate Professor, Cornell University and Researcher at Google ResearchVerified email at cs.cornell.edu
Steve SeitzProfessor of Computer Science & Engineering, University of Washington; Google CorporationVerified email at cs.washington.edu
Jordi Pont-TusetResearch Scientist at Google ResearchVerified email at google.com
Marc LevoyProfessor of Computer Science, Emeritus, Stanford UniversityVerified email at cs.stanford.edu
Paul DebevecProfessor of Computer Science, University of Southern CaliforniaVerified email at debevec.org
Christoph RhemannResearch Scientist, GoogleVerified email at google.com
Robert CarrollUniversity of California, BerkeleyVerified email at berkeley.edu

Jon Barron

Senior Staff Research Scientist at Google Research

Verified email at google.com - Homepage

Computer Vision Machine Learning Computational Photography


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Multiscale combinatorial grouping P Arbeláez, J Pont-Tuset, JT Barron, F Marques, J Malik Proceedings of the IEEE conference on computer vision and pattern …, 2014	1275	2014
NeRF: Representing scenes as neural radiance fields for view synthesis B Mildenhall, PP Srinivasan, M Tancik, JT Barron, R Ramamoorthi, R Ng European Conference on Computer Vision, 2020	968	2020
Shape, illumination, and reflectance from shading JT Barron, J Malik IEEE transactions on pattern analysis and machine intelligence 37 (8), 1670-1687, 2014	616	2014
Multiscale combinatorial grouping for image segmentation and object proposal generation J Pont-Tuset, P Arbelaez, JT Barron, F Marques, J Malik IEEE transactions on pattern analysis and machine intelligence 39 (1), 128-140, 2016	511	2016
A category-level 3d object dataset: Putting the kinect to work A Janoch, S Karayev, Y Jia, JT Barron, M Fritz, K Saenko, T Darrell Consumer depth cameras for computer vision, 141-165, 2013	504	2013
Deep bilateral learning for real-time image enhancement M Gharbi, J Chen, JT Barron, SW Hasinoff, F Durand ACM Transactions on Graphics (TOG) 36 (4), 1-12, 2017	415	2017
Fourier features let networks learn high frequency functions in low dimensional domains M Tancik, PP Srinivasan, B Mildenhall, S Fridovich-Keil, N Raghavan, ... Advances in Neural Information Processing Systems, 2020	358	2020
Semantic image segmentation with task-specific edge detection using cnns and a discriminatively trained domain transform LC Chen, JT Barron, G Papandreou, K Murphy, AL Yuille Proceedings of the IEEE conference on computer vision and pattern …, 2016	332	2016
The fast bilateral solver JT Barron, B Poole European Conference on Computer Vision, 617-632, 2016	308	2016
Burst photography for high dynamic range and low-light imaging on mobile cameras SW Hasinoff, D Sharlet, R Geiss, A Adams, JT Barron, F Kainz, J Chen, ... ACM Transactions on Graphics (ToG) 35 (6), 1-12, 2016	307	2016
Intrinsic Scene Properties from a Single RGB-D Image JT Barron, J Malik Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2013	259	2013
A general and adaptive robust loss function JT Barron Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	246	2019
Burst denoising with kernel prediction networks B Mildenhall, JT Barron, J Chen, D Sharlet, R Ng, R Carroll Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	232	2018
Jump: virtual reality video R Anderson, D Gallup, JT Barron, J Kontkanen, N Snavely, C Hernández, ... ACM Transactions on Graphics (TOG) 35 (6), 1-13, 2016	224	2016
3D self-portraits H Li, E Vouga, A Gudym, L Luo, JT Barron, G Gusev ACM Transactions on Graphics (TOG) 32 (6), 1-9, 2013	214	2013
Nerf in the wild: Neural radiance fields for unconstrained photo collections R Martin-Brualla, N Radwan, MSM Sajjadi, JT Barron, A Dosovitskiy, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	211	2021
Unprocessing images for learned raw denoising T Brooks, B Mildenhall, T Xue, J Chen, D Sharlet, JT Barron Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	196	2019
Shape, albedo, and illumination from a single image of an unknown object JT Barron, J Malik Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, 334-341, 2012	188	2012
Convolutional color constancy JT Barron Proceedings of the IEEE International Conference on Computer Vision, 379-387, 2015	184	2015
Nerfies: Deformable neural radiance fields K Park, U Sinha, JT Barron, S Bouaziz, DB Goldman, SM Seitz, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	179	2021

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