Shai Avidan, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, and Tal Hassner (Eds.), Computer Vision – ECCV 2022, Lecture Notes in Computer Science (LNCS, volume 13664), Springer Nature, 2022. ISBN: 978-3-031-19771-0 (Book at SpringerLink)
Tal Hassner and Ce Liu (Eds.), Dense Image Correspondences for Computer Vision, Springer International Publishing, 2016 (Book at Springer)
Kartik Thakral, Tamar Glaser, Tal Hassner, Mayank Vatsa, and Richa Singh. Fine-Grained Erasure in Text-to-Image Diffusion-based Foundation Models. CVF/IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Nashville TN, USA 2025
Surbhi Mittal, Kartik Thakral, Richa Singh, Mayank Vatsa, Tamar Glaser, Cristian Canton Ferrer, Tal Hassner. On responsible machine learning datasets emphasizing fairness, privacy and regulatory norms with examples in biometrics and healthcare. Nature Machine Intelligence. Published August, 2024.
Surbhi Mittal, Arnav Sudan, Mayank Vatsa, Richa Singh, Tamar Glaser, Tal Hassner. Navigating Text-to-Image Generative Bias across Indic Languages. European Conference on Computer Vision (ECCV), Milan, Italy, 2024.
Nikhil Mehta, Kevin J. Liang, Jing Huang, Fu-Jen Chu, Li Yin, and Tal Hassner. HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa , Hawaii, USA, 2024.
Peri Akiva, Jing Huang, Kevin J. Liang, Rama Kovvuri, Xingyu Chen, Matt Feiszli, Kristin Dana, and Tal Hassner. Self-Supervised Object Detection from Egocentric Videos. International Conference on Computer Vision (ICCV), Paris, France, 2023.
Vishal Asnani, Xi Yin, Tal Hassner, Xiaoming Liu, Reverse engineering of generative models: Inferring model hyperparameters from generated images. IEEE Transactions on Pattern Analysis and Machine Intelligence. Accepted, Aug. 2023.
Cuong N. Nguyen, Phong Tran, Lam Si Tung Ho, Vu Dinh, Anh T. Tran, Tal Hassner, Cuong V. Nguyen. Simple Transferability Estimation for Regression Tasks. Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI), Pittsburgh, PA, USA, 2023.
Vishal Asnani, Xi Yin, Tal Hassner, Xiaoming Liu. MaLP: Manipulation Localization Using a Proactive Scheme. CVF/IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Vancouver, CA, 2023.
Zhiheng Li, Ivan Evtimov, Albert Gordo, Caner Hazirbas, Tal Hassner, Cristian Canton Ferrer, Chenliang Xu, and Mark Ibrahim. A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others. CVF/IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Vancouver, CA, 2023.
Praveen Krishnan, Rama Kovvuri, Guan Pang, Boris Vassilev, Tal Hassner, TextStyleBrush: Transfer of Text Aesthetics From a Single Example. IEEE Transactions on Pattern Analysis and Machine Intelligence. Accepted, January 2023.
Samrudhdhi B Rangrej, Kevin J. Liang, Tal Hassner, James J Clark. GliTr: Glimpse Transformers with Spatiotemporal Consistency for Online Action Prediction IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, USA, 2023.
Jing Huang, Kevin J Liang, Rama Kovvuri, Tal Hassner. Task Grouping for Multilingual Text Recognition. European Conference on Computer Vision Workshops (ECCVw), Tel-Aviv, Israel, 2022
Best Paper Award at the Text In Everything (TIE) workshop, ECCV 2022
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Cuong N.Nguyen, Lam Si Tung Ho, Vu Dinh, Tal Hassner, and Cuong V.Nguyen. Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy. Int. Symp. on Information Theory and Its Applications (ISITA), Tsukuba, Japan, 2022.
Kevin J Liang, Samrudhdhi B. Rangrej, Vladan Petrovic, Tal Hassner. Few-shot Learning with Noisy Labels. CVF/IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, 2022.
Vishal Asnani, Xi Yin, Tal Hassner, Sijia Liu, and Xiaoming Liu. Proactive Image Manipulation Detection. CVF/IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, 2022.
Yuval Nirkin, Yosi Keller, Tal Hassner, FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment. IEEE Transactions on Pattern Analysis and Machine Intelligence. Accepted, March 2022.
Koby Bibas, Meir Feder, and Tal Hassner. Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection. Conference on Neural Information Processing Systems (NeurIPS), 2021.
Yuval Nirkin, Lior Wolf, Yosi Keller and Tal Hassner, DeepFake Detection Based on Discrepancies Between Faces and their Context. IEEE Transactions on Pattern Analysis and Machine Intelligence. Accepted, June 2021
Amanpreet Singh, Guan Pang, Mandy Toh, Jing Huang, Wojciech Galuba, and Tal Hassner. TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text. CVF/IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, 2021.
Jing Huang, Guan Pang, Rama Kovvuri, Mandy Toh, Kevin J Liang, Praveen Krishnan, Xi Yin, and Tal Hassner. A Multiplexed Network for End-to-End, Multilingual OCR. CVF/IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, 2021.
Yuval Nirkin, Lior Wolf, Tal Hassner. HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation. CVF/IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, 2021.
Vítor Albiero, Xingyu Chen, Xi Yin, Guan Pang, Tal Hassner. img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation. CVF/IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, 2021.
Minghui Liao, Guan Pang, Jing Huang, Tal Hassner, and Xiang Bai. Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting. European Conference on Computer Vision (ECCV), Glasgow, UK, 2020
Cuong V. Nguyen, Tal Hassner, Cedric Archambeau, Matthias Seeger. LEEP: A New Measure to Evaluate Transferability of Learned Representations. International Conference on Machine Learning (ICML), Vienna, Austria, 2020.
Cuong V. Nguyen, Alessandro Achille, Michael Lam, Tal Hassner, Vijay Mahadevan, Stefano Soatto. Meta-analysis of Continual Learning. Conference on Neural Information Processing Systems (NeurIPS) workshops, Vancouver, CA, 2019.
Yuval Nirkin, Yosi Keller, and Tal Hassner. FSGAN: Subject Agnostic Face Swapping and Reenactment. International Conference on Computer Vision (ICCV), Seoul, Korea, 2019.
Anh T. Tran, Cuong V. Nguyen, and Tal Hassner. Transferability and Hardness of Supervised Classification Tasks. International Conference on Computer Vision (ICCV), Seoul, Korea, 2019.
Iacopo Masi, Anh Tuan Tran, Tal Hassner, Gozde Sahin, Gerard Medioni. Face-Specific Data Augmentation for Unconstrained Face Recognition. International Journal of Computer Vision (IJCV). 2019 Jun 1; 127(6-7):642-67
Feng-Ju Chang, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, and Gerard Medioni. Deep, Landmark-Free FAME: Face Alignment, Modeling, and Expression Estimation. International Journal of Computer Vision (IJCV). 2019 Jun 1; 127(6-7):930-56
Dotan Kaufman, Koby Bibas, Eran Borenstein, Michael Chertok, and Tal Hassner. Balancing Specialization, Generalization, and Compression for Detection and Tracking. The British Machine Vision Conference (BMVC), Cardiff, UK, 2019.
Eran Goldman, Roei Herzig, Aviv Eisenschtat, Jacob Goldberger, Tal Hassner. Precise Detection in Densely Packed Scenes. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 2019.
Matan Goldman, Tal Hassner, Shai Avidan. Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth Estimation. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) workshops, Long Beach, CA, 2019.
Gil Shapira and Tal Hassner. Fast and Accurate Line Detection with GPU-Based Least Median of Squares. Journal of Real-Time Image Processing (RTIP), accepted.
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), 41(2):379--393, Feb. 2019.
* Denotes first / lead senior author.
Paper at IEEE Xplore
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), 40(12):3067--3074, Dec. 2018.
* Denotes joint first authorship / equal contribution.
Old arXiv preprint and Paper on IEEE Xplore
I. Masi, Y. Wu, T. Hassner, P. Natarajan, Deep Face Recognition: a Survey, Conference on Graphics, Patterns and Images (SIBGRAPI), Parana, Brazil, October 2018
N. Mohammadi-Sepahvand, T. Hassner, D.L. Arnold and T. Arbel, CNN Prediction of Future Disease Activity for Multiple Sclerosis Patients from Baseline MRI and Lesion Labels, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) Workshops, Grenada, Spain, September 2018
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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).
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
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.
Tal Hassner. Viewing Real-World Faces in 3D. International Conference on Computer Vision (ICCV), Sydney, Austraila, 2013.
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.
Tal Hassner, Lior Wolf, and Nachum Dershowitz. OCR-Free Transcript Alignment. International Conference on Document Analysis and Recognition (ICDAR), Washington DC, 2013.
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
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.
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.
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.
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.
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:
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
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.
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.
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.
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.
Yaniv Taigman, Lior Wolf, and Tal Hassner. Multiple One-Shots for Utilizing Class Label Information. The British Machine Vision Conference (BMVC), London, 2009.
Lior Wolf, Tal Hassner, and Yaniv Taigman. Similarity Scores based on Background Samples. Asian Conference on Computer Vision (ACCV), Xi'an, 2009.
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.
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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Cuong V. Nguyen, Alessandro Achille, Michael Lam, Tal Hassner, Vijay, Mahadevan, Stefano Soatto, Toward Understanding Catastrophic Forgetting in Continual Learning, arXiv preprint arXiv:1908.01091, 2 Aug 2019, (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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