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Computer Science

D-Index
51
Citations
14905
World Ranking
5234
National Ranking
2408

Overview

Tal Hassner is affiliated with Facebook in the United States. Their primary research field is Computer Science, with a particular focus on Computer Vision and Pattern Recognition, which accounts for the majority of their publications. Other subfields include Artificial Intelligence, Media Technology, Signal Processing, and Safety Research.

Hassner's research topics encompass a range of areas linked to machine learning and visual data analysis. Notably, these topics include Handwritten Text Recognition Techniques, Digital Media Forensic Detection, Generative Adversarial Networks and Image Synthesis, Adversarial Robustness in Machine Learning, Anomaly Detection Techniques and Applications, Face Recognition and Analysis, as well as Natural Language Processing Techniques.

Recent papers authored or coauthored by Hassner demonstrate a focus on detecting and synthesizing visual content, often with implications for media authenticity and transfer learning. Key publications include:

  • DeepFake Detection Based on Discrepancies Between Faces and Their Context, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • LEEP: A New Measure to Evaluate Transferability of Learned Representations, 2020, arXiv (Cornell University)
  • FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • TextStyleBrush: Transfer of Text Aesthetics From a Single Example, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Few-shot Learning with Noisy Labels, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Hassner frequently collaborates with several researchers, including Giovanni Maria Farinella, Shai Avidan, Gabriel Brostow, Moustapha Cissé, and Kevin J Liang. The collaborative work with these coauthors has contributed to a wide range of publications.

Publications by Tal Hassner are often featured in prominent venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Nature Machine Intelligence
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

In addition to journal and conference papers, Hassner has contributed extensively to book publications with Springer Science+Business Media. Notably, Hassner has numerous chapters in titles such as Computer Vision - ECCV 2022 and Image Analysis and Processing - ICIAP 2022, reflecting their continued involvement in advancing comprehensive research dissemination.

Best Publications

  • Face recognition in unconstrained videos with matched background similarity

    Lior Wolf;Tal Hassner;Itay Maoz

  • Age and Gender Estimation of Unfiltered Faces

    Eran Eidinger;Roee Enbar;Tal Hassner

  • Effective face frontalization in unconstrained images

    Tal Hassner;Shai Harel;Eran Paz;Roee Enbar

  • Deep Face Recognition: A Survey

    Iacopo Masi;Yue Wu;Tal Hassner;Prem Natarajan

  • Descriptor Based Methods in the Wild

    Lior Wolf;Tal Hassner;Yaniv Taigman

  • Violent flows: Real-time detection of violent crowd behavior

    Tal Hassner;Yossi Itcher;Orit Kliper-Gross

  • FSGAN: Subject Agnostic Face Swapping and Reenactment

    Yuval Nirkin;Yosi Keller;Tal Hassner

  • Regressing Robust and Discriminative 3D Morphable Models with a Very Deep Neural Network

    Anh Tuan Tran;Tal Hassner;Iacopo Masi;Gerard Medioni

  • Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics

    L. Wolf;T. Hassner;Y. Taigman

  • Do We Really Need to Collect Millions of Faces for Effective Face Recognition

    Iacopo Masi;Anh Tuan Tran;Jatuporn Toy Leksut;Tal Hassner;Tal Hassner

  • Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns

    Gil Levi;Tal Hassner

  • Similarity scores based on background samples

    Lior Wolf;Tal Hassner;Yaniv Taigman

  • On Face Segmentation, Face Swapping, and Face Perception

    Yuval Nirkin;Iacopo Masi;Anh Tran Tuan;Tal Hassner

  • DeepFake Detection Based on Discrepancies Between Faces and their Context.

    Yuval Nirkin;Lior Wolf;Yosi Keller;Tal Hassner

  • Motion interchange patterns for action recognition in unconstrained videos

    Orit Kliper-Gross;Yaron Gurovich;Tal Hassner;Lior Wolf

  • Multiple One-Shots for Utilizing Class Label Information.

    Yaniv Taigman;Lior Wolf;Tal Hassner

  • Facial Landmark Detection with Tweaked Convolutional Neural Networks

    Yue Wu;Tal Hassner;KangGeon Kim;Gerard Medioni

  • Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting

    Minghui Liao;Guan Pang;Jing Huang;Tal Hassner

  • HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation

    Yuval Nirkin;Lior Wolf;Tal Hassner

  • Face recognition using deep multi-pose representations

    Wael AbdAlmageed;Yue Wu;Stephen Rawls;Shai Harel

  • Precise Detection in Densely Packed Scenes

    Eran Goldman;Roei Herzig;Aviv Eisenschtat;Jacob Goldberger

  • Viewing Real-World Faces in 3D

    Tal Hassner

  • Extreme 3D Face Reconstruction: Seeing Through Occlusions

    Anh Tuan Tran;Tal Hassner;Iacopo Masi;Eran Paz

  • LEEP: A New Measure to Evaluate Transferability of Learned Representations

    Cuong V. Nguyen;Tal Hassner;Matthias Seeger;Cedric Archambeau

Frequent Co-Authors

Gerard Medioni
Gerard Medioni Amazon (United States)
Lior Wolf
Lior Wolf Tel Aviv University
Ronen Basri
Ronen Basri Weizmann Institute of Science
Prem Natarajan
Prem Natarajan Capital One (United States)
Lihi Zelnik-Manor
Lihi Zelnik-Manor Technion – Israel Institute of Technology
Jongmoo Choi
Jongmoo Choi University of Southern California
Jing Huang
Jing Huang Peking University
Nachum Dershowitz
Nachum Dershowitz Tel Aviv University
Shai Avidan
Shai Avidan Tel Aviv University
Yaron Lipman
Yaron Lipman Facebook (United States)

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