Jonathan T. Barron

According to our database, Jonathan T. Barron authored at least 108 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Binary Opacity Grids: Capturing Fine Geometric Detail for Mesh-Based View Synthesis.

Christian Reiser, Stephan J. Garbin, Pratul P. Srinivasan, Dor Verbin, Richard Szeliski, Ben Mildenhall, Jonathan T. Barron, Peter Hedman, Andreas Geiger

ACM Trans. Graph., July, 2024

SMERF: Streamable Memory Efficient Radiance Fields for Real-Time Large-Scene Exploration.

Daniel Duckworth, Peter Hedman, Christian Reiser, Peter Zhizhin, Jean-François Thibert, Mario Lucic, Richard Szeliski, Jonathan T. Barron

ACM Trans. Graph., July, 2024

State of the Art on Diffusion Models for Visual Computing.

Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit Bermano, Eric R. Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein

Comput. Graph. Forum, May, 2024

EVER: Exact Volumetric Ellipsoid Rendering for Real-time View Synthesis.

Alexander Mai, Peter Hedman, George Kopanas, Dor Verbin, David Futschik, Qiangeng Xu, Falko Kuester, Jonathan T. Barron, Yinda Zhang

CoRR, 2024

InterNeRF: Scaling Radiance Fields via Parameter Interpolation.

Clinton J. Wang, Peter Hedman, Polina Golland, Jonathan T. Barron, Daniel Duckworth

CoRR, 2024

CAT3D: Create Anything in 3D with Multi-View Diffusion Models.

Ruiqi Gao, Aleksander Holynski, Philipp Henzler, Arthur Brussee, Ricardo Martin-Brualla, Pratul P. Srinivasan, Jonathan T. Barron, Ben Poole

CoRR, 2024

NeRF-Casting: Improved View-Dependent Appearance with Consistent Reflections.

Dor Verbin, Pratul P. Srinivasan, Peter Hedman, Ben Mildenhall, Benjamin Attal, Richard Szeliski, Jonathan T. Barron

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

Nuvo: Neural UV Mapping for Unruly 3D Representations.

Pratul P. Srinivasan, Stephan J. Garbin, Dor Verbin, Jonathan T. Barron, Ben Mildenhall

Proceedings of the Computer Vision - ECCV 2024, 2024

Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering.

Benjamin Attal, Dor Verbin, Ben Mildenhall, Peter Hedman, Jonathan T. Barron, Matthew O'Toole, Pratul P. Srinivasan

Proceedings of the Computer Vision - ECCV 2024, 2024

ReconFusion: 3D Reconstruction with Diffusion Priors.

Rundi Wu, Ben Mildenhall, Philipp Henzler, Keunhong Park, Ruiqi Gao, Daniel Watson, Pratul P. Srinivasan, Dor Verbin, Jonathan T. Barron, Ben Poole, Aleksander Holynski

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Eclipse: Disambiguating Illumination and Materials Using Unintended Shadows.

Dor Verbin, Ben Mildenhall, Peter Hedman, Jonathan T. Barron, Todd E. Zickler, Pratul P. Srinivasan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild.

Andreas Engelhardt, Amit Raj, Mark Boss, Yunzhi Zhang, Abhishek Kar, Yuanzhen Li, Deqing Sun, Ricardo Martin-Brualla, Jonathan T. Barron, Hendrik P. A. Lensch, Varun Jampani

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

CamP: Camera Preconditioning for Neural Radiance Fields.

Keunhong Park, Philipp Henzler, Ben Mildenhall, Jonathan T. Barron, Ricardo Martin-Brualla

ACM Trans. Graph., December, 2023

MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes.

Christian Reiser, Richard Szeliski, Dor Verbin, Pratul P. Srinivasan, Ben Mildenhall, Andreas Geiger, Jonathan T. Barron, Peter Hedman

ACM Trans. Graph., August, 2023

Learning a Diffusion Prior for NeRFs.

Guandao Yang, Abhijit Kundu, Leonidas J. Guibas, Jonathan T. Barron, Ben Poole

CoRR, 2023

BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis.

Lior Yariv, Peter Hedman, Christian Reiser, Dor Verbin, Pratul P. Srinivasan, Richard Szeliski, Jonathan T. Barron, Ben Mildenhall

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

DreamFusion: Text-to-3D using 2D Diffusion.

Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DreamBooth3D: Subject-Driven Text-to-3D Generation.

Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan T. Barron, Yuanzhen Li, Varun Jampani

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields.

Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, Peter Hedman

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training.

Yifan Jiang, Peter Hedman, Ben Mildenhall, Dejia Xu, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields.

Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Tsung-Yi Lin, Alberto Rodriguez Garcia, Phillip Isola

CoRR, 2022

Fast and High-Quality Image Denoising via Malleable Convolutions.

Yifan Jiang, Bart Wronski, Ben Mildenhall, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue

CoRR, 2022

Advances in Neural Rendering.

Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul P. Srinivasan, Edgar Tretschk, Yifan Wang, Christoph Lassner, Vincent Sitzmann, Ricardo Martin-Brualla, Stephen Lombardi, Tomas Simon, Christian Theobalt, Matthias Nießner, Jonathan T. Barron, Gordon Wetzstein, Michael Zollhöfer, Vladislav Golyanik

Comput. Graph. Forum, 2022

NeRF: representing scenes as neural radiance fields for view synthesis.

Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng

Commun. ACM, 2022

Polynomial Neural Fields for Subband Decomposition and Manipulation.

Guandao Yang, Sagie Benaim, Varun Jampani, Kyle Genova, Jonathan T. Barron, Thomas A. Funkhouser, Bharath Hariharan, Serge J. Belongie

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections.

Mark Boss, Andreas Engelhardt, Abhishek Kar, Yuanzhen Li, Deqing Sun, Jonathan T. Barron, Hendrik P. A. Lensch, Varun Jampani

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields.

Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Tsung-Yi Lin, Alberto Rodriguez, Phillip Isola

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Fast and High Quality Image Denoising via Malleable Convolution.

Yifan Jiang, Bartlomiej Wronski, Ben Mildenhall, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue

Proceedings of the Computer Vision - ECCV 2022, 2022

HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video.

Chung-Yi Weng, Brian Curless, Pratul P. Srinivasan, Jonathan T. Barron, Ira Kemelmacher-Shlizerman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields.

Dor Verbin, Peter Hedman, Ben Mildenhall, Todd E. Zickler, Jonathan T. Barron, Pratul P. Srinivasan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Block-NeRF: Scalable Large Scene Neural View Synthesis.

Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben P. Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, Henrik Kretzschmar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dense Depth Priors for Neural Radiance Fields from Sparse Input Views.

Barbara Roessle, Jonathan T. Barron, Ben Mildenhall, Pratul P. Srinivasan, Matthias Nießner

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Urban Radiance Fields.

Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas A. Funkhouser, Vittorio Ferrari

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs.

Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, Noha Radwan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images.

Ben Mildenhall, Peter Hedman, Ricardo Martin-Brualla, Pratul P. Srinivasan, Jonathan T. Barron

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Zero-Shot Text-Guided Object Generation with Dream Fields.

Ajay Jain, Ben Mildenhall, Jonathan T. Barron, Pieter Abbeel, Ben Poole

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields.

Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, Peter Hedman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MIRA: Mental Imagery for Robotic Affordances.

Yen-Chen Lin, Pete Florence, Andy Zeng, Jonathan T. Barron, Yilun Du, Wei-Chiu Ma, Anthony Simeonov, Alberto Rodriguez Garcia, Phillip Isola

Proceedings of the Conference on Robot Learning, 2022

2021

NeRFactor: neural factorization of shape and reflectance under an unknown illumination.

Xiuming Zhang, Pratul P. Srinivasan, Boyang Deng, Paul E. Debevec, William T. Freeman, Jonathan T. Barron

ACM Trans. Graph., 2021

HyperNeRF: a higher-dimensional representation for topologically varying neural radiance fields.

Keunhong Park, Utkarsh Sinha, Peter Hedman, Jonathan T. Barron, Sofien Bouaziz, Dan B. Goldman, Ricardo Martin-Brualla, Steven M. Seitz

ACM Trans. Graph., 2021

Squareplus: A Softplus-Like Algebraic Rectifier.

Jonathan T. Barron

CoRR, 2021

Learned Dual-View Reflection Removal.

Simon Niklaus, Xuaner Cecilia Zhang, Jonathan T. Barron, Neal Wadhwa, Rahul Garg, Feng Liu, Tianfan Xue

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition.

Mark Boss, Varun Jampani, Raphael Braun, Ce Liu, Jonathan T. Barron, Hendrik P. A. Lensch

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

iNeRF: Inverting Neural Radiance Fields for Pose Estimation.

Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Defocus Map Estimation and Deblurring from a Single Dual-Pixel Image.

Shumian Xin, Neal Wadhwa, Tianfan Xue, Jonathan T. Barron, Pratul P. Srinivasan, Jiawen Chen, Ioannis Gkioulekas, Rahul Garg

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

How to Train Neural Networks for Flare Removal.

Yicheng Wu, Qiurui He, Tianfan Xue, Rahul Garg, Jiawen Chen, Ashok Veeraraghavan, Jonathan T. Barron

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Nerfies: Deformable Neural Radiance Fields.

Keunhong Park, Utkarsh Sinha, Jonathan T. Barron, Sofien Bouaziz, Dan B. Goldman, Steven M. Seitz, Ricardo Martin-Brualla

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Baking Neural Radiance Fields for Real-Time View Synthesis.

Peter Hedman, Pratul P. Srinivasan, Ben Mildenhall, Jonathan T. Barron, Paul E. Debevec

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

NeRD: Neural Reflectance Decomposition from Image Collections.

Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, Hendrik P. A. Lensch

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields.

Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, Pratul P. Srinivasan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Cross-Camera Convolutional Color Constancy.

Mahmoud Afifi, Jonathan T. Barron, Chloe LeGendre, Yun-Ta Tsai, Francois Bleibel

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Scalable Font Reconstruction with Dual Latent Manifolds.

Nikita Srivatsan, Si Wu, Jonathan T. Barron, Taylor Berg-Kirkpatrick

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

IBRNet: Learning Multi-View Image-Based Rendering.

Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul P. Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas A. Funkhouser

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learned Initializations for Optimizing Coordinate-Based Neural Representations.

Matthew Tancik, Ben Mildenhall, Terrance Wang, Divi Schmidt, Pratul P. Srinivasan, Jonathan T. Barron, Ren Ng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis.

Pratul P. Srinivasan, Boyang Deng, Xiuming Zhang, Matthew Tancik, Ben Mildenhall, Jonathan T. Barron

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections.

Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, Daniel Duckworth

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Portrait shadow manipulation.

Xuaner Cecilia Zhang, Jonathan T. Barron, Yun-Ta Tsai, Rohit Pandey, Xiuming Zhang, Ren Ng, David E. Jacobs

ACM Trans. Graph., 2020

Light stage super-resolution: continuous high-frequency relighting.

Tiancheng Sun, Zexiang Xu, Xiuming Zhang, Sean Ryan Fanello, Christoph Rhemann, Paul E. Debevec, Yun-Ta Tsai, Jonathan T. Barron, Ravi Ramamoorthi

ACM Trans. Graph., 2020

iNeRF: Inverting Neural Radiance Fields for Pose Estimation.

Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez Garcia, Phillip Isola, Tsung-Yi Lin

CoRR, 2020

Deformable Neural Radiance Fields.

Keunhong Park, Utkarsh Sinha, Jonathan T. Barron, Sofien Bouaziz, Dan B. Goldman, Steven M. Seitz, Ricardo Martin-Brualla

CoRR, 2020

Single-Image Lens Flare Removal.

Yicheng Wu, Qiurui He, Tianfan Xue, Rahul Garg, Jiawen Chen, Ashok Veeraraghavan, Jonathan T. Barron

CoRR, 2020

A Convenient Generalization of Schlick's Bias and Gain Functions.

Jonathan T. Barron

CoRR, 2020

Neural Light Transport for Relighting and View Synthesis.

Xiuming Zhang, Sean Ryan Fanello, Yun-Ta Tsai, Tiancheng Sun, Tianfan Xue, Rohit Pandey, Sergio Orts-Escolano, Philip Davidson, Christoph Rhemann, Paul E. Debevec, Jonathan T. Barron, Ravi Ramamoorthi, William T. Freeman

CoRR, 2020

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains.

Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, Ren Ng

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

What Matters in Unsupervised Optical Flow.

Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova

Proceedings of the Computer Vision - ECCV 2020, 2020

A Generalization of Otsu's Method and Minimum Error Thresholding.

Jonathan T. Barron

Proceedings of the Computer Vision - ECCV 2020, 2020

Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination.

Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Sky Optimization: Semantically aware image processing of skies in low-light photography.

Orly Liba, Yair Movshovitz-Attias, Longqi Cai, Yael Pritch, Yun-Ta Tsai, Huizhong Chen, Elad Eban, Jonathan T. Barron

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning to Autofocus.

Charles Herrmann, Richard Strong Bowen, Neal Wadhwa, Rahul Garg, Qiurui He, Jonathan T. Barron, Ramin Zabih

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Single image portrait relighting.

Tiancheng Sun, Jonathan T. Barron, Yun-Ta Tsai, Zexiang Xu, Xueming Yu, Graham Fyffe, Christoph Rhemann, Jay Busch, Paul E. Debevec, Ravi Ramamoorthi

ACM Trans. Graph., 2019

Handheld mobile photography in very low light.

Orly Liba, Kiran Murthy, Yun-Ta Tsai, Tim Brooks, Tianfan Xue, Nikhil Karnad, Qiurui He, Jonathan T. Barron, Dillon Sharlet, Ryan Geiss, Samuel W. Hasinoff, Yael Pritch, Marc Levoy

ACM Trans. Graph., 2019

Learning Single Camera Depth Estimation Using Dual-Pixels.

Rahul Garg, Neal Wadhwa, Sameer Ansari, Jonathan T. Barron

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Stereoscopic Dark Flash for Low-light Photography.

Jian Wang, Tianfan Xue, Jonathan T. Barron, Jiawen Chen

Proceedings of the IEEE International Conference on Computational Photography, 2019

A Deep Factorization of Style and Structure in Fonts.

Nikita Srivatsan, Jonathan T. Barron, Dan Klein, Taylor Berg-Kirkpatrick

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Pushing the Boundaries of View Extrapolation With Multiplane Images.

Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Unprocessing Images for Learned Raw Denoising.

Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, Jonathan T. Barron

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning to Synthesize Motion Blur.

Tim Brooks, Jonathan T. Barron

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A General and Adaptive Robust Loss Function.

Jonathan T. Barron

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Synthetic depth-of-field with a single-camera mobile phone.

Neal Wadhwa, Rahul Garg, David E. Jacobs, Bryan E. Feldman, Nori Kanazawa, Robert Carroll, Yair Movshovitz-Attias, Jonathan T. Barron, Yael Pritch, Marc Levoy

ACM Trans. Graph., 2018

Depth from motion for smartphone AR.

Julien P. C. Valentin, Adarsh Kowdle, Jonathan T. Barron, Neal Wadhwa, Max Dzitsiuk, Michael Schoenberg, Vivek Verma, Ambrus Csaszar, Eric Turner, Ivan Dryanovski, João Afonso, Jose Pascoal, Konstantine Tsotsos, Mira Leung, Mirko Schmidt, Onur G. Guleryuz, Sameh Khamis, Vladimir Tankovich, Sean Ryan Fanello, Shahram Izadi, Christoph Rhemann

ACM Trans. Graph., 2018

Aperture Supervision for Monocular Depth Estimation.

Pratul P. Srinivasan, Rahul Garg, Neal Wadhwa, Ren Ng, Jonathan T. Barron

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Burst Denoising With Kernel Prediction Networks.

Ben Mildenhall, Jonathan T. Barron, Jiawen Chen, Dillon Sharlet, Ren Ng, Robert Carroll

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Deep bilateral learning for real-time image enhancement.

Michaël Gharbi, Jiawen Chen, Jonathan T. Barron, Samuel W. Hasinoff, Frédo Durand

ACM Trans. Graph., 2017

Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation.

Jordi Pont-Tuset, Pablo Arbeláez, Jonathan T. Barron, Ferran Marqués, Jitendra Malik

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Continuously Differentiable Exponential Linear Units.

Jonathan T. Barron

CoRR, 2017

A More General Robust Loss Function.

Jonathan T. Barron

CoRR, 2017

A hardware-friendly bilateral solver for real-time virtual reality video.

Amrita Mazumdar, Armin Alaghi, Jonathan T. Barron, David Gallup, Luis Ceze, Mark Oskin, Steven M. Seitz

Proceedings of High Performance Graphics, 2017

Fast Fourier Color Constancy.

Jonathan T. Barron, Yun-Ta Tsai

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Jump: virtual reality video.

Robert Anderson, David Gallup, Jonathan T. Barron, Janne Kontkanen, Noah Snavely, Carlos Hernández, Sameer Agarwal, Steven M. Seitz

ACM Trans. Graph., 2016

Burst photography for high dynamic range and low-light imaging on mobile cameras.

Samuel W. Hasinoff, Dillon Sharlet, Ryan Geiss, Andrew Adams, Jonathan T. Barron, Florian Kainz, Jiawen Chen, Marc Levoy

ACM Trans. Graph., 2016

Intrinsic Scene Properties from a Single RGB-D Image.

Jonathan T. Barron, Jitendra Malik

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Geometric calibration for mobile, stereo, autofocus cameras.

Stephen DiVerdi, Jonathan T. Barron

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

The Fast Bilateral Solver.

Jonathan T. Barron, Ben Poole

Proceedings of the Computer Vision - ECCV 2016, 2016

Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform.

Liang-Chieh Chen, Jonathan T. Barron, George Papandreou, Kevin Murphy, Alan L. Yuille

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Shape, Illumination, and Reflectance from Shading.

Jonathan T. Barron, Jitendra Malik

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Scene Intrinsics and Depth from a Single Image.

Evan Shelhamer, Jonathan T. Barron, Trevor Darrell

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Convolutional Color Constancy.

Jonathan T. Barron

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Fast bilateral-space stereo for synthetic defocus.

Jonathan T. Barron, Andrew Adams, Yichang Shih, Carlos Hernández

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Multiscale Combinatorial Grouping.

Pablo Andrés Arbeláez, Jordi Pont-Tuset, Jonathan T. Barron, Ferran Marqués, Jitendra Malik

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

A Category-Level 3D Object Dataset: Putting the Kinect to Work.

Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell

Proceedings of the Consumer Depth Cameras for Computer Vision, 2013

Shapes, Paint, and Light.

Jonathan T. Barron

PhD thesis, 2013

3D self-portraits.

Hao Li, Etienne Vouga, Anton Gudym, Linjie Luo, Jonathan T. Barron, Gleb Gusev

ACM Trans. Graph., 2013

Volumetric Semantic Segmentation Using Pyramid Context Features.

Jonathan T. Barron, Mark D. Biggin, Pablo Arbeláez, David W. Knowles, Soile V. E. Keränen, Jitendra Malik

Proceedings of the IEEE International Conference on Computer Vision, 2013

Boundary Cues for 3D Object Shape Recovery.

Kevin Karsch, Zicheng Liao, Jason Rock, Jonathan T. Barron, Derek Hoiem

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Color Constancy, Intrinsic Images, and Shape Estimation.

Jonathan T. Barron, Jitendra Malik

Proceedings of the Computer Vision - ECCV 2012, 2012

Shape, albedo, and illumination from a single image of an unknown object.

Jonathan T. Barron, Jitendra Malik

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

A category-level 3-D object dataset: Putting the Kinect to work.

Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

High-frequency shape and albedo from shading using natural image statistics.

Jonathan T. Barron, Jitendra Malik

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011