The Weizmann Institute of Science
Faculty of Mathematics and Computer Science
Computer Vision Lab
Ethan Fetaya
About
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Publications
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Teaching
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CV
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Human Pose Estimation using Deep Consensus Voting.
Ita Lifshitz, Ethan Fetaya, Shimon Ullman.
To appear at EECV 2016
Atoms of recognition in human and computer vision.
Shimon Ullman, Liav Assif, Ethan Fetaya, and Daniel Harari.
PNAS 2016
Unsupervised Ensemble Learning with Dependent Classifiers.
Ariel Jaffe, Ethan Fetaya, Boaz Nadler, Tingting Jiang, and Yuval Kluger.
AISTATS 2016
StixelNet: A Deep Convolutional Network for Obstacle Detection and Road Segmentation.
Dan Levi, Noa Garnett and Ethan Fetaya
BMVC 2015
Learning Local Invariant Mahalanobis Distances.
Ethan Fetaya and Shimon Ullman
ICML 2015
Graph Approximation and Clustering on a Budget.
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Supplementary material
Ethan Fetaya, Ohad Shamir and Shimon Ullman
AISTATS 2015
Bounding the distance of quantum surface codes.
Ethan Fetaya
Journal of Mathematical Physics, 2012
Homological Error Correcting Codes and Systolic Geometry
Ethan Fetaya
M.Sc Thesis