Jonathan T. Barron, Ph.D.
Affiliations: | 2013 | Electrical Engineering and Computer Sciences | University of California, Berkeley, Berkeley, CA, United States |
Area:
visionGoogle:
"Jonathan Barron"Mean distance: 17.06 (cluster 23) | S | N | B | C | P |
Parents
Sign in to add mentor| Jitendra Malik | grad student | 2013 | UC Berkeley | |
| (Shapes, Paint, and Light.) | ||||
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Publications
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| Liba O, Murthy K, Tsai Y, et al. (2019) Handheld mobile photography in very low light Acm Transactions On Graphics. 38: 1-16 |
| Sun T, Barron JT, Tsai Y, et al. (2019) Single image portrait relighting Acm Transactions On Graphics. 38: 1-12 |
| Gharbi M, Chen J, Barron JT, et al. (2017) Deep bilateral learning for real-time image enhancement Acm Transactions On Graphics. 36: 1-12 |
| Barron JT, Malik J. (2016) Intrinsic Scene Properties from a Single RGB-D Image. Ieee Transactions On Pattern Analysis and Machine Intelligence. 38: 690-703 |
| Pont-Tuset J, Arbelaez P, Barron J, et al. (2016) Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation. Ieee Transactions On Pattern Analysis and Machine Intelligence |
| Hasinoff SW, Sharlet D, Geiss R, et al. (2016) Burst photography for high dynamic range and low-light imaging on mobile cameras Acm Transactions On Graphics. 35: 1-12 |
| Shelhamer E, Barron JT, Darrell T. (2016) Scene Intrinsics and Depth from a Single Image Proceedings of the Ieee International Conference On Computer Vision. 2016: 235-242 |
| Barron JT, Malik J. (2015) Shape, Illumination, and Reflectance from Shading. Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 1670-87 |
| Barron JT, Arbeláez P, Keränen SV, et al. (2013) Volumetric Semantic Segmentation using Pyramid Context Features. Proceedings / Ieee International Conference On Computer Vision. Ieee International Conference On Computer Vision. 2013: 3448-3455 |
| Barron JT, Biggin MD, Arbelaez P, et al. (2013) Volumetric semantic segmentation using pyramid context features Proceedings of the Ieee International Conference On Computer Vision. 3448-3455 |