Transitive Re-Identification Y Brand, T Avraham, M Lindenbaum British Machine Vision Conference (BMVC), 2013 | 376* | 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 | 277 | 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 | 186 | 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 | 149 | 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 | 53 | 2018 |
Predicting visual search performance by quantifying stimuli similarities T Avraham, Y Yeshurun, M Lindenbaum Journal of Vision 8 (4), 2008 | 41 | 2008 |
Multiscale ultrawide foveated video extrapolation A Aides, T Avraham, YY Schechner 2011 IEEE International Conference on Computational Photography (ICCP), 1-8, 2011 | 28 | 2011 |
Ultrawide foveated video extrapolation T Avraham, YY Schechner IEEE Journal of Selected Topics in Signal Processing 5 (2), 321-334, 2010 | 23 | 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 | 20 | 2005 |
Attention-based Dynamic Visual search using Inner Scene Similarity: Algorithms and Bounds T Avraham, M Lindenbaum Computer Science Department, Technion, 2003 | 20 | 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 | 10 | 2016 |
Learning Appearance Transfer for Person Re-identification T Avraham, M Lindenbaum Person Re-Identification, 231-246, 2014 | 9 | 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 | 9 | 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 | 7 | 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 | 5 | 2005 |
Inner-Scene Similarities as a Contextual Cue for Object Detection N Arbel, T Avraham, M Lindenbaum arXiv preprint arXiv:1707.04406, 2017 | 4 | 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 | 3 | 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 | 2 | 2010 |
A probabilistic estimation approach for dynamic visual search T Avraham, M Lindenbaum Proceedings of International Workshop on Attention and Performance in …, 2003 | 2 | 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 | | 2016 |