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Eric Kee
I am currently at Adobe, on Marc Levoy's new team, where we are building computational photography methods for mobile devices. Previously I was at Uber ATG R&D led by Raquel Urtasun, where I developed methods for vehicle perception in driverless cars. Prior to that, I was a research scientist and engineer at Avametric, a physical simulation startup with Prof. James O'Brien, UC Berkeley. Prior to that, I was a research scientist and engineer at Facebook, computational imaging. Prior to that, I was a postdoc with professor Shree Nayar in the CAVE lab at Columbia. Lastly, and most importantly, my dissertation work was at Dartmouth with advisor Hany Farid.
My research background includes topics in: computer vision, machine learning, computer graphics, and image forensics.
If you would like to contact me: erickee AT gmail dot com
Here is my CV and google scholar link.
Realistic Saliency Guided Image Enhancement. M. Miangoleh, Z. Bylinskii, E. Kee, E. Shechtman, Y. Aksoy
CVPR 2023
Efficient Sensory Coding of Multidimensional Stimuli T. Yerxa, E. Kee, M. DeWeese, E. Cooper.
PLOS Computational Biology, 2020 (see also ArXiV 2016)
Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs S. Segal, E. Kee, W. Luo, A. Sadat, E. Yumer, R. Urtasun
CoRL, 2020
DeepSignals: Predicting Intent of Drivers Through Visual Attributes D. Frossard, E. Kee, R. Urtasun
ICRA, 2019
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving G. Meyer, A. Laddha, E. Kee, C. Vallespi-Gonzalez, C. Wellington
CVPR, 2019
Uniform Transformation of Non-Separable Probability Distributions E. Kee
ArXiV, 2016
Exposing Photo Manipulation From User-Guided 3-D Lighting Analysis T. Carvalho, H. Farid, E. Kee
SPIE, 2015
Exposing Photo Manipulation from Shading and Shadows E. Kee, J. O'Brien, H. Farid
Transactions on Graphics / SIGGRAPH, 2014
Photo Forensics from Partial Constraints E. Kee (advisor: H. Farid)
Ph.D. Dissertation, Dartmouth College, 2013
Exposing Photo Manipulation with Inconsistent Shadows E. Kee, J. O'Brien, H. Farid
Transactions on Graphics / SIGGRAPH, 2013
A Perceptual Metric for Photo Retouching E. Kee, H. Farid
Proceedings of the National Academy of Sciences, 2011
Digital Image Authentication from JPEG Headers E. Kee, M. K. Johnson, H. Farid
IEEE Transactions on Information Forensics and Security, 2011
Modeling and Removing Spatially-Varying Optical Blur E. Kee, S. Paris, S. Chen, J. Wang
IEEE International Conference on Computational Photography, 2011
Exposing Digital Forgeries from 3-D Lighting Environments E. Kee, H. Farid
IEEE International Workshop on Information Forensics and Security, 2010
Digital Image Authentication from Thumbnails E. Kee, H. Farid
SPIE Symposium on Electronic Imaging, San Jose, CA, 2010
Detecting Photographic Composites of Famous People E. Kee, H. Farid
Technical Report, TR2009-656, Dartmouth College, Computer Science
A novel approach for semi-automated segmentation of MS lesions on FLAIR imaging: Reliability and clinical correlates H. Wishart, E. Kee, J. Ford, J. MacDonald, S. Aney, S. LoVerde
Annual Meeting of the International Neuropsychological Society, Acapulco, Mexico, February 3-6, 2010
Printer Profiling for Forensics and Ballistics E. Kee, H. Farid
ACM Multimedia and Security Workshop, Oxford, UK, 2008
An Adaptive Genetic Algorithm E. Kee, S. Airey
Proceedings of the Genetic and Evolutionary Computation Conference, 2001
press
for "Exposing Photo Manipulation with Inconsistent Shadows"
New York Times
MIT Technology Review
Live Science, via Mashtable
Scientific American
for "A Perceptual Metric for Photo Retouching"
New York Times
Wired
The Economist
Nature
New Scientist
Marketplace
Kojo
The Guardian
CBS
MSNBC
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