Publications

Books

Publications in Journals, Conferences and Workshops

Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild

Iacopo Masi, Feng-ju Chang, Jongmoo Choi, Shai Harel, Jungyeon Kim, KangGeon Kim, Jatuporn Leksut, Stephen Rawls, Yue Wu, Tal Hassner*, Wael AbdAlmageed, Gerard Medioni, Louis-Philippe Morency, Prem Natarajan, Ram Nevatia.Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), accepted.

* Denotes first / lead senior author.

arXiv preprint - Coming soon

Deep Face Recognition: a Survey

I. Masi, Y. Wu, T. Hassner, P. Natarajan, Deep Face Recognition: a Survey, Conference on Graphics, Patterns and Images (SIBGRAPI), Parana, Brazil, October 2018

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SIFTing Through Scales

Tal Hassner, Shay Filosof, Viki Mayzels, and Lihi Zelnik-Manor. SIFTing through Scales. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 39(7): 1431-1443, 2017.

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Automated Detection of Feeding Strikes by Larval Fish Using Continuous High-Speed Digital Video: a Novel Method to Extract Quantitative Data From Fast, Sparse Kinematic Events

Eyal Shamur, Miri Zilka, Tal Hassner, Victor China, Alex Liberzon, and Roi Holzman. Automated detection of feeding strikes by larval fish using continuous high-speed digital video: a novel method to extract quantitative data from fast, sparse kinematic events. Journal of Experimental Biology (JEB), volume 219, number 11, pp. 1608--1617, 2016.

PDF at JEB

Face Recognition Using Deep Multi-Pose Representations

Wael AbdAlmageed, Yue Wu, Stephen Rawls, Shai Harel, Tal Hassner, Iacopo Masi, Jongmoo Choi, Jatuporn Lekust, Jungyeon Kim, Prem Natarajan, Ram Nevatia and Gerard Medioni. (2016). "Face Recognition Using Deep Multi-Pose Representations." IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Placid, NY, USA.

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Viral Transcription Alignment

Gil Sadeh, Lior Wolf, Tal Hassner, Nachum Dershowitz, and Daniel Stokl Ben-Ezra. Viral Transcription Alignment. International Conference on Document Analysis and Recognition (ICDAR), Nancy, France, 2015.

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Age and Gender Estimation of Unfiltered Faces

Eran Eidinger, Roee Enbar, Tal Hassner. Age and Gender Estimation of Unfiltered Faces. Transactions on Information Forensics and Security (IEEE-TIFS), special issue on Facial Biometrics in the Wild, Volume 9, Issue 12, pages 2170 - 2179, 2014.

R. Enbar selected for the 2017 SPS Young Author Best Paper Award by the IEEE Signal Processing Society.

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On SIFTs and Their Scales

Tal Hassner, Viki Mayzels, and Lihi Zelnik-Manor. On SIFTs and their Scales. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Rhode Island, 2012.

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Viewing the Viewers: How Adults With Attentional Deficits Watch Educational Videos

Tal Hassner, Lior Wolf, Anat Lerner, and Yael Leitner. Viewing the Viewers: How Adults With Attentional Deficits Watch Educational Videos. SAGE Journal of Attention Disorders (JAD), October 2014 vol. 18 no. 7, pp. 585-593

Originally published ahead of print, May 24th, 2012 (Paper at SAGE)

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Press coverage:

  • August 2012: Feature article in the popular-science magazine ‘Galileo’, issue 168, in Hebrew.
  • Summer 2012: Feature article in Open Letter, The Open University of Israel magazine. Available online.
  • 18th of July, 2012: Radio interview on ‘Hakol Tsafui’, Reshet-Aleph, in Hebrew.
  • 9th of July, 2012: Maariv (One of the two largest daily newspapers in Israel), in Hebrew.
  • 9th of July, 2012: Radio interview on Yael Dan’s show, Galey Zahal, in Hebrew.
  • 1st of July, 2012: Dudi Goldman radio interview on the ‘Economic Show’, Galey Zahal, in Hebrew.

Approximate Nearest Subspace Search

Ronen Basri, Tal Hassner, and Lihi Zelnik-Manor*. Approximate Nearest Subspace Search; IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 33(2), 2011

Editor’s selection for spotlight paper

* Author names in alphabetical order due to equal contribution.

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A General Framework for Approximate Nearest Subspace Search

Ronen Basri, Tal Hassner, and Lihi Zelnik-Manor*. A General Framework for Approximate Nearest Subspace Search. 2nd IEEE International Workshop on Subspace Methods at the IEEE International Conference on Computer Vision (ICCV), Kyoto, 2009.

* Author names in alphabetical order due to equal contribution.

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Minimal-Cut Model Composition

Tal Hassner, Lihi Zelnik-Manor, George Leifman, and Ronen Basri. Minimal-Cut Model Composition, International Conference on Shape Modeling and Applications (SMI), Boston, 2005

Best Student Paper Award at SMI 2005; Patent pending.

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What Does the Scene Look Like from a Scene Point?

Michal Irani, Tal Hassner, and P.Anandan. What Does the Scene Look Like from a Scene Point? European Conference on Computer Vision (ECCV), 2002

Press coverage:
2004, TV Interivew on Channel 8, “The Science Channel”, on the “Science News” show, in Hebrew.

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Reports


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