Book


  • Tal Hassner and Ce Liu (Eds.), Dense Image Correspondences for Computer Vision, Springer International Publishing, 2016 (Book at Springer)

Publications in journals, conferences and workshops


  • New! Dotan Kaufman, Gil Levy, Tal Hassner, and Lior Wolf, Temporal Tessellation: A Unified Approach for Video Analysis, International Conference on Computer Vision (ICCV), Venice, Italy, October 2017 (code, arXiv preprint)
  • New! FengJu Chan, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gerard Medioni, FacePoseNet: Making a Case for Landmark-Free Face Alignment, IEEE Workshop on Analysis and Modeling of Faces and Gestures (AMFG), at the IEEE Int. Conf. on Computer Vision (ICCV), Venice, Italy, October 2017 (code, arXiv preprint)
  • Matthias Hernandez, Tal Hassner, Jongmoo Choi, and Gerard Medioni, Accurate 3D face reconstruction via prior constrained structure from motion, Computers & Graphics (CAG), 66: 14-22, August (2017) (PDF)
  • 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) (Project and code, PDF)
  • Anh Tuan Tran, Tal Hassner, Iacopo Masi, and Gerard Medioni, Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Honolulu, July 2017 (Project and code, arXiv preprint)
  • Iacopo Masi, Tal Hassner, Anh Tuan Tran, and Gerard Medioni, Rapid Synthesis of Massive Face Sets for Improved Face Recognition, IEEE International Conference on Automatic Face and Gesture Recognition (FG) Washington, DC, May, 2017. (Project and code, PDF)
  • Iacopo Masi*, Anh Tuan Tran*, Tal Hassner*, Jatuporn Toy Leksut and Gerard Medioni, Do We Really Need to Collect Millions of Faces for Effective Face Recognition? European Conference on Computer Vision (ECCV), Amsterdam, The Netherlands, Oct. 2016 (Project and code, PDF)
    * Denotes equal contribution.
  • Christopher Parker, Matthew Daiter, Kareem Omar, Gil Levi and Tal Hassner, The CUDA LATCH Binary Descriptor: Because Sometimes Faster Means Better, Workshop on Local Features: State of the art, open problems and performance evaluation, at the European Conference on Computer Vision (ECCV), Amsterdam, The Netherlands, Oct. 2016 (Project and code, PDF)
  • Tal Hassner, Iacopo Masi, Jungyeon Kim, Jongmoo Choi, Shai Harel, Prem Natarajan, Gerard Medioni, Pooling Faces: Template based Face Recognition with Pooled Face Images, IEEE Computer Society Workshop on Biometrics at the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June, 2016 (PDF)
  • Moria Tau and Tal Hassner, Dense Correspondences across Scenes and Scales, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 38(5): 875-888 (2016) (Project and code, PDF)
  • 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, June 2016 (PDF at JEB, code)
  • Gil Levi and Tal Hassner, LATCH: Learned Arrangements of Three Patch Codes, IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Placid, NY, USA, March, 2016 (Project and code, PDF)
  • Tal Hassner, Gilad Saban and Lior Wolf, Texture Instance Similarity via Dense Correspondences, IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Placid, NY, USA, March, 2016 (PDF)
  • 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, Face Recognition Using Deep Multi-Pose Representations, IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Placid, NY, USA, March, 2016 (PDF)
  • Meirav Galun*, Tal Amir*, Tal Hassner, Ronen Basri, and Yaron Lipman, Wide baseline stereo matching with convex bounded-distortion constraints, International Conference on Computer Vision (ICCV), Santiago, Chile, Dec. 2015 (PDF)
    * Denotes equal contribution.
  • Gil Levi and Tal Hassner, Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns, Proc. ACM International Conference on Multimodal Interaction (ICMI), Seattle, Nov. 2015 (PDF, project, code and trained CNN models)
  • 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, August 2015 (PDF)
  • Tal Hassner, Shai Harel*, Eran Paz* and Roee Enbar, Effective Face Frontalization in Unconstrained Images, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Boston, June 2015 (Project, code and data)
    * These author names are in alphabetical order due to equal contribution.
  • Gil Levi and Tal Hassner, Age and Gender Classification Using Convolutional Neural Networks, IEEE Workshop on Analysis and Modeling of Faces and Gestures (AMFG), at the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Boston, June 2015 (Project, PDF)
  • T. Hassner and I. Bayaz, Teaching Computer Vision: Bringing Research Benchmarks to the Classroom, ACM Transactions on Computing Education (ACM-TOCE), Volume 14 Issue 4, February 2015. (Paper at ACM)
  • E. Eidinger, R. Enbar, and T. 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, Dec. 2014 (PDF, project, data, code)
  • L. Wolf, Y. Hanani, T. Hassner, A Piggyback Representation for Action Recognition, IEEE International Workshop on Deep-Vision, at the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, June 2014 (PDF)
  • T. Hassner, L. Assif, and L. Wolf, When Standard RANSAC is Not Enough: Cross-Media Visual Matching with Hypothesis Relevancy, Machine Vision and Applications (MVAP), Volume 25, Issue 4, Page 971-983, 2014 (project, PDF, Springer)
  • T. Hassner, Viewing Real-World Faces in 3D, International Conference on Computer Vision (ICCV), Sydney, Austraila, Dec. 2013 (project, PDF)
  • Y. Sofer, T. Hassner, and A. Sharf, Interactive Learning for Point-Cloud Motion Segmentation, In Computer Graphics Forum, vol. 32, no. 7, pp. 51-60. 2013 (PDF, Project and data, slides from the POCV14 workshop PPTX)
  • T. Hassner, L. Wolf, and N. Dershowitz, OCR-Free Transcript Alignment, International Conference on Document Analysis and Recognition (ICDAR), Washington DC, August 2013 (project, PDF)
  • T. Hassner, A Critical Review of Action Recognition Benchmarks, 1st IEEE International Workshop on Action Similarity in Unconstrained Videos (ACTS) at the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, June 2013 (PDF)
  • T. Hassner, M. Rehbein, P.A. Stokes, and L. Wolf, Computation and Palaeography: Potentials and Limits (Dagstuhl Perspectives Workshop 12382), Dagstuhl Manifestos 2(1): 14-35 (2012) (info, PDF)
  • T. Hassner, L. Wolf, A. Lerner, and Y. 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 (Paper at SAGE)
    Originally published ahead of print, May 24th, 2012 (Paper at SAGE)
    Press coverage:
  • O. Kliper-Gross, Y. Gurovich, T. Hassner, and L. Wolf, Motion Interchange Patterns for Action Recognition in Unconstrained Videos, European Conference on Computer Vision (ECCV), Firenze , Italy, Oct. 2012 (project and code, PDF)
  • T. Hassner, V. Mayzels, and L. Zelnik-Manor, On SIFTs and their Scales, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Rhode Island, June 2012 (project and code, PDF)
  • T. Hassner, Y. Itcher, and O. Kliper-Gross, Violent Flows: Real-Time Detection of Violent Crowd Behavior, 3rd IEEE International Workshop on Socially Intelligent Surveillance and Monitoring (SISM) at the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Rhode Island, June 2012 (Data, PDF)
  • O. Kliper-Gross, T. Hassner, and L. Wolf, The Action Similarity Labeling Challenge, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 34(3), March 2012 (database, PDF)
  • O. Kliper-Gross, T. Hassner, and L. Wolf, One Shot Similarity Metric Learning for Action Recognition, International Workshop on Similarity-Based Pattern Analysis and Recognition (SIMBAD), Venice, Italy, Sept. 2011 (PDF, Video-lecture)
  • L. Wolf, T. Hassner, and I. Maoz, Face Recognition in Unconstrained Videos with Matched Background Similarity, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, June 2011 (project, PDF)
  • Lior Wolf, Tal Hassner, and Yaniv Taigman, Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 33(10), Oct. 2011 (PDF, data)
    Press coverage:
  • Ronen Basri, Tal Hassner, and Lihi Zelnik-Manor*, Approximate Nearest Subspace Search, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 33(2), Feb. 2011 (PDF). Editor's selection for spotlight paper.
    *Author names in alphabetical order due to equal contribution.
  • Dmitry Kropotov, Dmitry Vetrov, Lior Wolf, and Tal Hassner, Variational Relevance Vector Machine for Tabular Data, JMLR: Workshop and Conference Proceedings 13: 79-94, Asian Conference on Machine Learning (ACML), Tokyo, Oct. 2010
  • 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, Sept. 2009 (project, PDF)
    *Author names in alphabetical order due to equal contribution.
  • Lior Wolf, Tal Hassner, and Yaniv Taigman, The One-Shot Similarity Kernel, IEEE International Conference on Computer Vision (ICCV), Kyoto, Sept. 2009 (project and code, Extended version PDF)
  • Lior Wolf, Tal Hassner, and Yaniv Taigman, Similarity Scores based on Background SamplesAsian Conference on Computer Vision (ACCV), Xi' an, Sept. 2009 (PDF, data)
  • Yaniv Taigman, Lior Wolf, and Tal Hassner, Multiple One-Shots for Utilizing Class Label Information, The British Machine Vision Conference (BMVC), London, Sept. 2009 (project, PDF, data)
  • Lior Wolf, Tal Hassner, and Yaniv Taigman, Descriptor Based Methods in the Wild, Faces in Real-Life Images workshop at the European Conference on Computer Vision (ECCV), Marseille, Oct. 2008 (project and code, PDF). Best result on the LFW face recognition benchmark, at the Faces in Real-Life Images workshop, 2008
  • Ran Gal, Ariel Shamir, Tal Hassner, Mark Pauly and Daniel Cohen-Or, Surface Reconstruction using Local Shape Priors, Proceedings of the fifth Eurographics Symposium on Geometry Processing (SGP), Barcelona, 2007 (project, PDF)
  • Ronen Basri, Tal Hassner, and Lihi Zelnik-Manor*, Approximate Nearest Subspace Search with Applications to Pattern Recognition, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, June 2007 (project, PDF, PPT)
    *Author names in alphabetical order due to equal contribution.
  • Tal Hassner and Ronen Basri, Automatic Depth-Map Colorization, Eurographics (short), Vienna, Sept. 2006 (PDFPatent pending
  • Tal Hassner and Ronen Basri, Example Based 3D Reconstruction from Single 2D Images, Beyond Patches Workshop at IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New-York, June 2006. (project, PDF). Patent pending
  • Tal Hassner, Lihi Zelnik-Manor, George Leifman, and Ronen Basri, Minimal-Cut Model Composition, International Conference on Shape Modeling and Applications (SMI), Boston, June 2005. (project, PDF). Best Student Paper Award at SMI'05; Patent pending
  • Michal Irani, Tal Hassner, and P.Anandan, What Does the Scene Look Like from a Scene Point? European Conference on Computer Vision (ECCV), May 2002. (project, PDF)
    Press coverage:
    • 2004, TV Interivew on Channel 8, "The Science Channel", on the "Science News" show, in Hebrew.

Reports

  • New! Yuval Nirkin, Iacopo Masi, Anh Tuan Tran, Tal Hassner, Gerard Medioni, On Face Segmentation, Face Swapping, and Face Perception, arXiv preprint arXiv:1704.06729, 22 Apr 2017 (Project and code, arXiv)
  • Yue Wu*, Tal Hassner*, KangGeon Kim, Gerard Medioni and Prem Natarajan, Facial Landmark Detection with Tweaked Convolutional Neural Networks, arXiv preprint arXiv:1511.04031, 21 Mar 2016 (Project and code, arXiv)
    * Denotes joint first authorship / equal contribution.
  • Gil Shapira and Tal Hassner, GPU-Based Computation of 2D Least Median of Squares with Applications to Fast and Robust Line Detection, arXiv preprint arXiv:1510.01041, 5 Oct. 2015 (Code on GitHub, arXiv)
  • T. Hassner, M. Rehbein, P.A. Stokes, and L. Wolf, Computation and Palaeography: Potentials and Limits (Dagstuhl Perspectives Workshop 12382). Dagstuhl Reports 2(9): 184-199 (2012) (info, PDF)
  • T.Hassner and R. Basri Single View Depth Estimation from Examples, arXiv preprint arXiv:1304.3915, 14 Apr 2013  (arXiv)
  • R. Basri, T.Hassner and L. Zelnik-Manor, A General Framework for Approximate Nearest Subspace SearchTechnical Report CCIT #699, Department of Electrical Engineering, Technion, June 2008. (PDF)
    *Author names in alphabetical order due to equal contribution.
  • T.Hassner, Building 3D Shapes from Parts Ph.D. Thesis, Faculty of Mathematics and Computer Science, The Weizmann Institute of Science, December, 2006.

Outreach and articles in the public-media

  • Our App, "Once App on a Time" was awarded the Mayor's Prize (first place) award on the Tel-Aviv City, App2You competition. Significant media coverage of the event and our App included items in all the major newspapers in Israel. Our App is available on the Play Store.
  • T.Hassner, On Geometry, Perspectivity, and the World We See, (Hebrew) Odyssey magazine of Science and Philosophy,  Issue 17, Oct. 2012 (On-line article)
  • Why Can't Computers See?, (Hebrew), with D. Fishler, Nexter online magazine. 31, Oct. 2012 (On-line article)



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