Publications
Books
- 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
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
Yue Wu*, Tal Hassner*, KangGeon Kim, Gerard Medioni, and Prem Natarajan. Facial Landmark Detection with Tweaked Convolutional Neural Networks. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), accepted.
* Denotes joint first authorship / equal contribution.
arXiv preprint
Anh Tuan Tran, Tal Hassner, Iacopo Masi, Eran Paz, Yuval Nirkin, Gerard Medioni. Extreme 3D Face Reconstruction: Seeing through Occlusions. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, 2018.
arXiv preprint
Yuval Nirkin, Iacopo Masi, Anh Tuan Tran, Tal Hassner, and Gerard Medioni. On Face Segmentation, Face Swapping, and Face Perception. IEEE Conference on Automatic Face and Gesture Recognition (FG), Xi'an, China, 2018.
arXiv preprint
FengJu Chang, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gerard Medioni. ExpNet: Landmark-Free, Deep, 3D Facial Expressions. IEEE Conference on Automatic Face and Gesture Recognition (FG), Xi'an, China, 2018.
arXiv preprint
Dotan Kaufman, Gil Levi, Tal Hassner, and Lior Wolf. Temporal Tessellation: A Unified Approach for Video Analysis. International Conference on Computer Vision (ICCV), Venice, Italy, 2017.
arXiv preprint
FengJu Chang, 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, 2017.
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, 2017.
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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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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, 2017.
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, 2017.
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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, 2016.
* Denotes equal contribution.
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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, 2016.
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Tal Hassner, Iacopo Masi, Jungyeon Kim, Jongmoo Choi, Shai Harel, Prem Natarajan, Gerard Medioni (2016). "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).
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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.
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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
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, 2016.
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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, 2016.
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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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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, 2015.
* Denotes equal contribution.
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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, 2015.
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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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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, 2015.
* These author names are in alphabetical order due to equal contribution.
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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, 2015.
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Tal Hassner and Itzik Bayaz. Teaching Computer Vision: Bringing Research Benchmarks to the Classroom. ACM Transactions on Computing Education (ACM-TOCE), Volume 14 Issue 4, 2015.
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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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Lior Wolf, Yair Hanani, Tal 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, 2014
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Tal Hassner, Liav Assif, Lior 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.
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Tal Hassner. Viewing Real-World Faces in 3D. International Conference on Computer Vision (ICCV), Sydney, Austraila, 2013.
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Yerry Sofer, Tal Hassner, and Andrei Sharf. Interactive Learning for Point-Cloud Motion Segmentation. Computer Graphics Forum, vol. 32, no. 7, pp. 51-60, 2013.
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Tal Hassner, Lior Wolf, and Nachum Dershowitz. OCR-Free Transcript Alignment. International Conference on Document Analysis and Recognition (ICDAR), Washington DC, 2013.
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Tal 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, 2013
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Orit Kliper-Gross, Yaron Gurovich, Tal Hassner.Motion Interchange Patterns for Action Recognition in Unconstrained Videos. European Conference on Computer Vision (ECCV), Firenze , Italy, 2012.
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Tal Hassner, Malte Rehbein, Peter A. Stokes, and Lior Wolf. Computation and Palaeography: Potentials and Limits (Dagstuhl Perspectives Workshop 12382). Dagstuhl Manifestos 2(1): 14-35, 2012.
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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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Tal Hassner, Yossi. Itcher, and Orit 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, 2012.
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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.
Orit Kliper-Gross, Tal Hassner, and Lior Wolf. The Action Similarity Labeling Challenge. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 34(3), 2012
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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), 2011.
Press coverage:
Winter 2011 - Feature article in Open Letter, The Open University of Israel Magazine. Available online.
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Orit Kliper-Gross, Tal Hassner, and Lior Wolf. One Shot Similarity Metric Learning for Action Recognition. International Workshop on Similarity-Based Pattern Analysis and Recognition (SIMBAD), Venice, Italy, 2011.
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Lior Wolf, Tal Hassner, and Itay Maoz. Face Recognition in Unconstrained Videos with Matched Background Similarity. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, 2011.
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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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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, 2010.
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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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Lior Wolf, Tal Hassner, and Yaniv Taigman. The One-Shot Similarity Kernel. IEEE International Conference on Computer Vision (ICCV), Kyoto, 2009.
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Yaniv Taigman, Lior Wolf, and Tal Hassner. Multiple One-Shots for Utilizing Class Label Information. The British Machine Vision Conference (BMVC), London, 2009.
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Lior Wolf, Tal Hassner, and Yaniv Taigman. Similarity Scores based on Background Samples. Asian Conference on Computer Vision (ACCV), Xi'an, 2009.
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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, 2008.
Best result on the “LFW face recognition benchmark”, at the Faces in Real-Life Images workshop, 2008.
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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.
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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, 2007.
* Author names in alphabetical order due to equal contribution
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Tal Hassner and Ronen Basri. Automatic Depth-Map Colorization, Eurographics (short), Vienna, 2006.
Patent pending.
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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, 2006.
Patent pending.
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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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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
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)
Tal Hassner, Malte Rehbein, Peter A. Stokes, and Lior Wolf, Computation and Palaeography: Potentials and Limits (Dagstuhl Perspectives Workshop 12382). Dagstuhl Reports 2(9): 184-199 (2012) (info, PDF)
Tal Hassner and Ronen Basri, Single View Depth Estimation from Examples, arXiv preprint arXiv:1304.3915, 14 Apr 2013 (arXiv)
Ronen Basri, Tal Hassner and Lihi Zelnik-Manor, A General Framework for Approximate Nearest Subspace Search, Technical Report CCIT #699, Department of Electrical Engineering, Technion, June 2008. (PDF)
* Author names in alphabetical order due to equal contribution.
Tal Hassner, Building 3D Shapes from Parts, Ph.D. Thesis, Faculty of Mathematics and Computer Science, The Weizmann Institute of Science, December, 2006.
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Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild 