What Does the Scene Look Like from a Scene Point? - Michal Irani; Tal Hassner; P. Anandan 001 (ECCV (2), 2002)

Minimal-Cut Model Composition. - Tal Hassner; Lihi Zelnik-Manor; George Leifman; Ronen Basri (SMI, 2005)

Example Based 3D Reconstruction from Single 2D Images. - Tal Hassner; Ronen Basri (CVPR Workshops, 2006)

Automatic Depth-Map Colorization. - Tal Hassner; Ronen Basri (Eurographics (Short Presentations), 2006)

Approximate Nearest Subspace Search with Applications to Pattern Recognition. - Ronen Basri; Tal Hassner; Lihi Zelnik-Manor (CVPR, 2007)

Surface reconstruction using local shape priors. - Ran Gal; Ariel Shamir; Tal Hassner; Mark Pauly; Daniel Cohen-Or (Symposium on Geometry Processing, 2007)

Similarity Scores Based on Background Samples. - Lior Wolf; Tal Hassner; Yaniv Taigman (ACCV (2), 2009)

Multiple One-Shots for Utilizing Class Label Information. - Yaniv Taigman; Lior Wolf; Tal Hassner (BMVC, 2009)

The One-Shot similarity kernel. - Lior Wolf; Tal Hassner; Yaniv Taigman (ICCV, 2009)

A general framework for Approximate Nearest Subspace search. - Ronen Basri; Tal Hassner; Lihi Zelnik-Manor (ICCV Workshops, 2009)

Variational Relevance Vector Machine for Tabular Data. - Dmitry Kropotov; Dmitry P. Vetrov; Lior Wolf; Tal Hassner (ACML, 2010)

Face recognition in unconstrained videos with matched background similarity. - Lior Wolf; Tal Hassner; Itay Maoz (CVPR, 2011)

One Shot Similarity Metric Learning for Action Recognition. - Orit Kliper-Gross; Tal Hassner; Lior Wolf (SIMBAD, 2011)

Approximate Nearest Subspace Search. - Ronen Basri; Tal Hassner; Lihi Zelnik-Manor (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics. - Lior Wolf; Tal Hassner; Yaniv Taigman (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Violent flows: Real-time detection of violent crowd behavior. - Tal Hassner; Yossi Itcher; Orit Kliper-Gross (CVPR Workshops, 2012)

On SIFTs and their scales. - Tal Hassner; Viki Mayzels; Lihi Zelnik-Manor (CVPR, 2012)

Motion Interchange Patterns for Action Recognition in Unconstrained Videos. - Orit Kliper-Gross; Yaron Gurovich; Tal Hassner; Lior Wolf (ECCV (6), 2012)

Computation and Palaeography: Potentials and Limits (Dagstuhl Perspectives Workshop 12382). - Tal Hassner; Malte Rehbein; Peter A. Stokes; Lior Wolf (Dagstuhl Reports, 2012)

The Action Similarity Labeling Challenge. - Orit Kliper-Gross; Tal Hassner; Lior Wolf (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

A Critical Review of Action Recognition Benchmarks. - Tal Hassner (CVPR Workshops, 2013)

Viewing Real-World Faces in 3D. - Tal Hassner (ICCV, 2013)

OCR-Free Transcript Alignment. - Tal Hassner; Lior Wolf; Nachum Dershowitz (ICDAR, 2013)

Interactive Learning for Point-Cloud Motion Segmentation. - Yerry Sofer; Tal Hassner; Andrei Sharf (Comput. Graph. Forum, 2013)

Single View Depth Estimation from Examples - Tal Hassner; Ronen Basri (CoRR, 2013)

A Piggyback Representation for Action Recognition. - Lior Wolf; Yair Hanani; Tal Hassner (CVPR Workshops, 2014)

Digital Palaeography: New Machines and Old Texts (Dagstuhl Seminar 14302). - Tal Hassner; Robert Sablatnig; Dominique Stutzmann; Ségolène M. Tarte (Dagstuhl Reports, 2014)

Teaching Computer Vision: Bringing Research Benchmarks to the Classroom. - Tal Hassner; Itzik Bayaz (ACM Trans. Comput. Educ., 2014)

When standard RANSAC is not enough: cross-media visual matching with hypothesis relevancy. - Tal Hassner; Liav Assif; Lior Wolf (Mach. Vis. Appl., 2014)

Age and Gender Estimation of Unfiltered Faces. - Eran Eidinger; Roee Enbar; Tal Hassner (IEEE Trans. Inf. Forensics Secur., 2014)

Effective face frontalization in unconstrained images. - Tal Hassner; Shai Harel; Eran Paz; Roee Enbar (CVPR, 2015)

Age and gender classification using convolutional neural networks. - Gil Levi; Tal Hassner (CVPR Workshops, 2015)

Wide Baseline Stereo Matching with Convex Bounded Distortion Constraints. - Meirav Galun; Tal Amir; Tal Hassner; Ronen Basri; Yaron Lipman (ICCV, 2015)

Viral transcript alignment. - Gil Sadeh; Lior Wolf; Tal Hassner; Nachum Dershowitz; Daniel Stökl Ben Ezra (ICDAR, 2015)

Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns. - Gil Levi; Tal Hassner (ICMI, 2015)

GPU-Based Computation of 2D Least Median of Squares with Applications to Fast and Robust Line Detection. - Gil Shapira; Tal Hassner (CoRR, 2015)

Facial Landmark Detection with Tweaked Convolutional Neural Networks. - Yue Wu 001; Tal Hassner (CoRR, 2015)

Pooling Faces: Template Based Face Recognition with Pooled Face Images. - Tal Hassner; Iacopo Masi; Jungyeon Kim; Jongmoo Choi; Shai Harel; Prem Natarajan; Gérard G. Medioni (CVPR Workshops, 2016)

Do We Really Need to Collect Millions of Faces for Effective Face Recognition? - Iacopo Masi; Anh Tuan Tran 001; Tal Hassner; Jatuporn Toy Leksut; Gérard G. Medioni (ECCV (5), 2016)

The CUDA LATCH Binary Descriptor: Because Sometimes Faster Means Better. - Christopher Parker; Matthew Daiter; Kareem Omar; Gil Levi; Tal Hassner (ECCV Workshops (3), 2016)

Face recognition using deep multi-pose representations. - Wael Abd-Almageed; Yue Wu 001; Stephen Rawls; Shai Harel; Tal Hassner; Iacopo Masi; Jongmoo Choi; Jatuporn Toy Leksut; Jungyeon Kim; Prem Natarajan; Ram Nevatia; Gérard G. Medioni (WACV, 2016)

Texture instance similarity via dense correspondences. - Tal Hassner; Gilad Saban; Lior Wolf (WACV, 2016)

LATCH: Learned arrangements of three patch codes. - Gil Levi; Tal Hassner (WACV, 2016)

Temporal Tessellation for Video Annotation and Summarization. - Dotan Kaufman; Gil Levi; Tal Hassner; Lior Wolf (CoRR, 2016)

Dense Correspondences across Scenes and Scales. - Moria Tau; Tal Hassner (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Regressing Robust and Discriminative 3D Morphable Models with a Very Deep Neural Network. - Anh Tuan Tran 001; Tal Hassner; Iacopo Masi; Gérard G. Medioni (CVPR, 2017)

Rapid Synthesis of Massive Face Sets for Improved Face Recognition. - Iacopo Masi; Tal Hassner; Anh Tuan Tran 001; Gérard G. Medioni (FG, 2017)

Temporal Tessellation: A Unified Approach for Video Analysis. - Dotan Kaufman; Gil Levi; Tal Hassner; Lior Wolf (ICCV, 2017)

FacePoseNet: Making a Case for Landmark-Free Face Alignment. - Feng-Ju Chang; Anh Tuan Tran 001; Tal Hassner; Iacopo Masi; Ram Nevatia; Gérard G. Medioni (ICCV Workshops, 2017)

Accurate 3D face reconstruction via prior constrained structure from motion. - Matthias Hernandez; Tal Hassner; Jongmoo Choi; Gérard G. Medioni (Comput. Graph., 2017)

Extreme 3D Face Reconstruction: Looking Past Occlusions. - Anh Tuan Tran 001; Tal Hassner; Iacopo Masi; Eran Paz; Yuval Nirkin; Gérard G. Medioni (CoRR, 2017)

SIFTing Through Scales. - Tal Hassner; Shay Filosof; Viki Mayzels; Lihi Zelnik-Manor (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Extreme 3D Face Reconstruction: Seeing Through Occlusions. - Anh Tuan Tran 001; Tal Hassner; Iacopo Masi; Eran Paz; Yuval Nirkin; Gérard G. Medioni (CVPR, 2018)

ExpNet: Landmark-Free, Deep, 3D Facial Expressions. - Feng-Ju Chang; Anh Tuan Tran 001; Tal Hassner; Iacopo Masi; Ram Nevatia; Gérard G. Medioni (FG, 2018)

On Face Segmentation, Face Swapping, and Face Perception. - Yuval Nirkin; Iacopo Masi; Anh Tuan Tran 001; Tal Hassner; Gérard G. Medioni (FG, 2018)

CNN Prediction of Future Disease Activity for Multiple Sclerosis Patients from Baseline MRI and Lesion Labels. - Nazanin Mohammadi Sepahvand; Tal Hassner; Douglas L. Arnold; Tal Arbel (BrainLes@MICCAI (1), 2018)

Deep Face Recognition: A Survey. - Iacopo Masi; Yue Wu 001; Tal Hassner; Prem Natarajan (SIBGRAPI, 2018)

Facial Landmark Detection with Tweaked Convolutional Neural Networks. - Yue Wu 001; Tal Hassner; KangGeon Kim; Gérard G. Medioni; Prem Natarajan (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Balancing Specialization, Generalization, and Compression for Detection and Tracking. - Dotan Kaufman; Koby Bibas; Eran Borenstein; Michael Chertok; Tal Hassner (BMVC, 2019)

Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth Estimation. - Matan Goldman; Tal Hassner; Shai Avidan (CVPR Workshops, 2019)

Precise Detection in Densely Packed Scenes. - Eran Goldman; Roei Herzig; Aviv Eisenschtat; Jacob Goldberger; Tal Hassner (CVPR, 2019)

FSGAN: Subject Agnostic Face Swapping and Reenactment. - Yuval Nirkin; Yosi Keller; Tal Hassner (ICCV, 2019)

Transferability and Hardness of Supervised Classification Tasks. - Anh Tuan Tran 001; Cuong V. Nguyen; Tal Hassner (ICCV, 2019)

Precise Detection in Densely Packed Scenes. - Eran Goldman; Roei Herzig; Aviv Eisenschtat; Oria Ratzon; Itsik Levi; Jacob Goldberger; Tal Hassner (CoRR, 2019)

Toward Understanding Catastrophic Forgetting in Continual Learning. - Cuong V. Nguyen; Alessandro Achille; Michael Lam; Tal Hassner; Vijay Mahadevan; Stefano Soatto (CoRR, 2019)

Deep, Landmark-Free FAME: Face Alignment, Modeling, and Expression Estimation. - Feng-Ju Chang; Anh Tuan Tran 001; Tal Hassner; Iacopo Masi; Ram Nevatia; Gérard G. Medioni (Int. J. Comput. Vis., 2019)

Face-Specific Data Augmentation for Unconstrained Face Recognition. - Iacopo Masi; Anh Tuan Tran 001; Tal Hassner; Gozde Sahin; Gérard G. Medioni (Int. J. Comput. Vis., 2019)

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 Toy Leksut; Stephen Rawls; Yue Wu 001; Tal Hassner; Wael AbdAlmageed; Gérard G. Medioni; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting. - Minghui Liao; Guan Pang; Jing Huang 020; Tal Hassner; Xiang Bai (ECCV (11), 2020)

LEEP: A New Measure to Evaluate Transferability of Learned Representations. - Cuong V. Nguyen; Tal Hassner; Matthias W. Seeger; Cédric Archambeau (ICML, 2020)

DeepFake Detection Based on the Discrepancy Between the Face and its Context. - Yuval Nirkin; Lior Wolf; Yosi Keller; Tal Hassner (CoRR, 2020)

Fast and accurate line detection with GPU-based least median of squares. - Gil Shapira; Tal Hassner (J. Real Time Image Process., 2020)

A Multiplexed Network for End-to-End, Multilingual OCR. - Jing Huang 020; Guan Pang; Rama Kovvuri; Mandy Toh; Kevin J. Liang; Praveen Krishnan; Xi Yin 001; Tal Hassner (CVPR, 2021)

img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation. - Vitor Albiero; Xingyu Chen; Xi Yin 001; Guan Pang; Tal Hassner (CVPR, 2021)

HyperSeg: Patch-Wise Hypernetwork for Real-Time Semantic Segmentation. - Yuval Nirkin; Lior Wolf; Tal Hassner (CVPR, 2021)

TextOCR: Towards Large-Scale End-to-End Reasoning for Arbitrary-Shaped Scene Text. - Amanpreet Singh; Guan Pang; Mandy Toh; Jing Huang 020; Wojciech Galuba; Tal Hassner (CVPR, 2021)

Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection. - Koby Bibas; Meir Feder; Tal Hassner (NeurIPS, 2021)

Proactive Image Manipulation Detection. - Vishal Asnani; Xi Yin 001; Tal Hassner; Sijia Liu 001; Xiaoming Liu 002 (CVPR, 2022)

Few-shot Learning with Noisy Labels. - Kevin J. Liang; Samrudhdhi B. Rangrej; Vladan Petrovic; Tal Hassner (CVPR, 2022)

Task Grouping for Multilingual Text Recognition. - Jing Huang 020; Kevin J. Liang; Rama Kovvuri; Tal Hassner (ECCV Workshops (4), 2022)

Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy. - Cuong N. Nguyen; Lam Si Tung Ho; Vu C. Dinh; Tal Hassner; Cuong V. Nguyen (ISITA, 2022)

You Only Need a Good Embeddings Extractor to Fix Spurious Correlations. - Raghav Mehta; Vítor Albiero; Li Chen; Ivan Evtimov; Tamar Glaser; Zhiheng Li 002; Tal Hassner (CoRR, 2022)

DeepFake Detection Based on Discrepancies Between Faces and Their Context. - Yuval Nirkin; Lior Wolf; Yosi Keller; Tal Hassner (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

TBIOM Special Issue on Trustworthy Biometrics-Editorial. - Weihong Deng; Tal Hassner; Xiaoming Liu 002; Maja Pantic (IEEE Trans. Biom. Behav. Identity Sci., 2022)

MaLP: Manipulation Localization Using a Proactive Scheme. - Vishal Asnani; Xi Yin 001; Tal Hassner; Xiaoming Liu 002 (CVPR, 2023)

A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others. - Zhiheng Li 002; Ivan Evtimov; Albert Gordo; Caner Hazirbas; Tal Hassner; Cristian Canton-Ferrer; Chenliang Xu; Mark Ibrahim (CVPR, 2023)

Self-Supervised Object Detection from Egocentric Videos. - Peri Akiva; Jing Huang 020; Kevin J. Liang; Rama Kovvuri; Xingyu Chen; Matt Feiszli; Kristin J. Dana; Tal Hassner (ICCV, 2023)

Simple Transferability Estimation for Regression Tasks. - Cuong N. Nguyen; Phong Tran; Lam Si Tung Ho; Vu C. Dinh; Anh T. Tran; Tal Hassner; Cuong V. Nguyen (UAI, 2023)

GliTr: Glimpse Transformers with Spatiotemporal Consistency for Online Action Prediction. - Samrudhdhi B. Rangrej; Kevin J. Liang; Tal Hassner; James J. Clark (WACV, 2023)

On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms. - Surbhi Mittal; Kartik Thakral; Richa Singh 001; Mayank Vatsa; Tamar Glaser; Cristian Canton-Ferrer; Tal Hassner (CoRR, 2023)

FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment. - Yuval Nirkin; Yosi Keller; Tal Hassner (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

TextStyleBrush: Transfer of Text Aesthetics From a Single Example. - Praveen Krishnan; Rama Kovvuri; Guan Pang; Boris Vassilev; Tal Hassner (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Reverse Engineering of Generative Models: Inferring Model Hyperparameters From Generated Images. - Vishal Asnani; Xi Yin 001; Tal Hassner; Xiaoming Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Navigating Text-to-Image Generative Bias Across Indic Languages. - Surbhi Mittal; Arnav Sudan; Mayank Vatsa; Richa Singh 001; Tamar Glaser; Tal Hassner (ECCV (88), 2024)

HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings. - Nikhil Mehta 002; Kevin J. Liang; Jing Huang 020; Fu-Jen Chu; Li Yin; Tal Hassner (WACV, 2024)

On responsible machine learning datasets emphasizing fairness, privacy and regulatory norms with examples in biometrics and healthcare. - Surbhi Mittal; Kartik Thakral; Richa Singh 001; Mayank Vatsa; Tamar Glaser; Cristian Canton-Ferrer; Tal Hassner (Nat. Mac. Intell., 2024)

Fine-Grained Erasure in Text-to-Image Diffusion-based Foundation Models. - Kartik Thakral; Tamar Glaser; Tal Hassner; Mayank Vatsa; Richa Singh 001 (CVPR, 2025)

Continual Unlearning for Foundational Text-to-Image Models without Generalization Erosion. - Kartik Thakral; Tamar Glaser; Tal Hassner; Mayank Vatsa; Richa Singh 001 (CoRR, 2025)

Editorial Introduction to the ICCV 2021 Special Section. - Dima Damen; Tal Hassner; Chris Pal; Yoichi Sato 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)