Tamar Avraham
Tamar Avraham
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Cited by
Cited by
Transitive Re-Identification
Y Brand, T Avraham, M Lindenbaum
British Machine Vision Conference (BMVC), 2013
3D point cloud registration for localization using a deep neural network auto-encoder
G Elbaz, T Avraham, A Fischer
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Esaliency (extended saliency): Meaningful attention using stochastic image modeling
T Avraham, M Lindenbaum
IEEE transactions on pattern analysis and machine intelligence 32 (4), 693-708, 2009
Learning Implicit Transfer for Person Re-identification
T Avraham, I Gurvich, M Lindenbaum, S Markovitch
1st re-identification workshop. In conjunction with ECCV2012, 2012
Graph based over-segmentation methods for 3D point clouds
Y Ben-Shabat, T Avraham, M Lindenbaum, A Fischer
Computer Vision and Image Understanding 174, 12-23, 2018
Predicting visual search performance by quantifying stimuli similarities
T Avraham, Y Yeshurun, M Lindenbaum
Journal of Vision 8 (4), 2008
Multiscale ultrawide foveated video extrapolation
A Aides, T Avraham, YY Schechner
2011 IEEE International Conference on Computational Photography (ICCP), 1-8, 2011
Ultrawide foveated video extrapolation
T Avraham, YY Schechner
IEEE Journal of Selected Topics in Signal Processing 5 (2), 321-334, 2010
Attention-based dynamic visual search using inner-scene similarity: Algorithms and bounds
T Avraham, M Lindenbaum
IEEE transactions on pattern analysis and machine intelligence 28 (2), 251-264, 2005
Attention-based Dynamic Visual search using Inner Scene Similarity: Algorithms and Bounds
T Avraham, M Lindenbaum
Computer Science Department, Technion, 2003
Interpreting the ratio criterion for matching SIFT descriptors
A Kaplan, T Avraham, M Lindenbaum
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
Learning Appearance Transfer for Person Re-identification
T Avraham, M Lindenbaum
Person Re-Identification, 231-246, 2014
Dynamic visual search using inner-scene similarity: Algorithms and inherent limitations
T Avraham, M Lindenbaum
Computer Vision-ECCV 2004: 8th European Conference on Computer Vision …, 2004
Esaliency-a stochastic attention model incorporating similarity information and knowledge-based preferences
T Avraham, M Lindenbaum
Inter. Workshop on the Representation and Use of Prior Knowledge in Vision …, 2006
Inherent limitations of visual search and the role of inner-scene similarity
T Avraham, M Lindenbaum
Attention and Performance in Computational Vision, 16-28, 2005
Inner-Scene Similarities as a Contextual Cue for Object Detection
N Arbel, T Avraham, M Lindenbaum
arXiv preprint arXiv:1707.04406, 2017
Depth perception in autostereograms: 1/f noise is best
Y Yankelevsky, I Shvartz, T Avraham, AM Bruckstein
JOSA A 33 (2), 149-159, 2016
Non-local characterization of scenery images: statistics, 3D reasoning, and a generative model
T Avraham, M Lindenbaum
European Conference on Computer Vision (ECCV), 99-112, 2010
A probabilistic estimation approach for dynamic visual search
T Avraham, M Lindenbaum
Proceedings of International Workshop on Attention and Performance in …, 2003
Graph based over-segmentation of 3D point cloud representation of urban scenes
Y Ben-Shabat, T Avraham, G Elbaz, A Fischer, M Lindenbaum
Proceedings of the 34th Israeli Conference of Mechanical Engineering, 2016
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