Jon Barron

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Pratul SrinivasanResearch Scientist at Google ResearchDirección de correo verificada de google.com
Ben MildenhallResearch scientist at Google ResearchDirección de correo verificada de google.com
Ren NgProfessor in Computer Science, University of California, BerkeleyDirección de correo verificada de berkeley.edu
Matthew TancikLuma AIDirección de correo verificada de berkeley.edu
Ricardo Martin-BruallaGoogleDirección de correo verificada de google.com
Ravi RamamoorthiProfessor of Computer Science, University of California, San DiegoDirección de correo verificada de cs.ucsd.edu
Jiawen ChenResearch Scientist at AdobeDirección de correo verificada de adobe.com
Peter HedmanSenior Research Scientist at GoogleDirección de correo verificada de google.com
Tianfan XueInformation Engineering Department, The Chinese University of Hong KongDirección de correo verificada de ie.cuhk.edu.hk
Neal WadhwaGoogle ResearchDirección de correo verificada de mit.edu
Yun-Ta TsaiStaff Software Engineer at TeslaDirección de correo verificada de tesla.com
Rahul GargStaff Research Scientist, Google Inc.Dirección de correo verificada de google.com
Paul DebevecProfessor of Computer Science, University of Southern CaliforniaDirección de correo verificada de debevec.org
Ben PooleResearch Scientist at Google BrainDirección de correo verificada de stanford.edu
Steve SeitzProfessor of Computer Science & Engineering, University of Washington; Google CorporationDirección de correo verificada de cs.washington.edu
Noah SnavelyProfessor at Cornell Tech and Researcher at Google ResearchDirección de correo verificada de cs.cornell.edu
Pablo ArbelaezUniversidad de los Andes, ColombiaDirección de correo verificada de uniandes.edu.co
Sam HasinoffSoftware Engineer, GoogleDirección de correo verificada de google.com
Utkarsh SinhaGoogle, Carnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
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Jon Barron

Senior Staff Research Scientist at Google Research

Dirección de correo verificada de google.com - Página principal

Computer Vision Machine Learning Computational Photography


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	4633	2020
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	1425	2014
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	1341	2020
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	837	2021
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	764	2021
Shape, illumination, and reflectance from shading JT Barron, J Malik IEEE transactions on pattern analysis and machine intelligence 37 (8), 1670-1687, 2014	751	2014
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields JT Barron, B Mildenhall, M Tancik, P Hedman, R Martin-Brualla, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021	723	2021
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	682	2017
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	616	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: Research Topics and Applications …, 2013	545	2013
A general and adaptive robust loss function JT Barron Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	526	2019
Mip-nerf 360: Unbounded anti-aliased neural radiance fields JT Barron, B Mildenhall, D Verbin, PP Srinivasan, P Hedman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	460	2022
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	459	2021
Dreamfusion: Text-to-3d using 2d diffusion B Poole, A Jain, JT Barron, B Mildenhall arXiv preprint arXiv:2209.14988, 2022	458	2022
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	449	2016
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	403	2016
The fast bilateral solver JT Barron, B Poole European Conference on Computer Vision, 617-632, 2016	395	2016
NeRV: Neural reflectance and visibility fields for relighting and view synthesis PP Srinivasan, B Deng, X Zhang, M Tancik, B Mildenhall, JT Barron Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	382	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	369	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	369	2018

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