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Computer Science

D-Index
75
Citations
35332
World Ranking
1376
National Ranking
25

Overview

Lior Wolf is affiliated with Tel Aviv University in Israel and works primarily in the field of computer science. Their research output spans multiple subfields, with a particular focus on computer vision and pattern recognition, artificial intelligence, and signal processing. Additional work covers areas such as electrical and electronic engineering and radiology, nuclear medicine, and imaging.

The scientist's research topics include:

  • Generative Adversarial Networks and Image Synthesis
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Speech and Audio Processing
  • Explainable Artificial Intelligence (XAI)
  • Neural Networks and Applications

Lior Wolf's recent papers illustrate active contributions to diverse aspects of machine learning and computer vision. Examples include:

  • "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (2023), published in ACM Transactions on Graphics
  • "DeepFake Detection Based on Discrepancies Between Faces and Their Context" (2021), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Data Augmenting Contrastive Learning of Speech Representations in the Time Domain" (2020), available on arXiv (Cornell University)
  • "Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks" (2020), published in Proceedings of the AAAI Conference on Artificial Intelligence

Their publication record shows frequent appearances in specific venues, including:

  • arXiv (Cornell University), with over 130 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • ACM Transactions on Graphics
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Lior Wolf collaborates repeatedly with several coauthors, among whom are Eliya Nachmani, Sagie Benaim, Hila Chefer, Shir Gur, and Tal Shaharabany.

Best Publications

  • DeepFace: Closing the Gap to Human-Level Performance in Face Verification

    Yaniv Taigman;Ming Yang;Marc'Aurelio Ranzato;Lior Wolf

  • Robust Object Recognition with Cortex-Like Mechanisms

    T. Serre;L. Wolf;S. Bileschi;M. Riesenhuber

  • Face recognition in unconstrained videos with matched background similarity

    Lior Wolf;Tal Hassner;Itay Maoz

  • Object recognition with features inspired by visual cortex

    T. Serre;L. Wolf;T. Poggio

  • A Biologically Inspired System for Action Recognition

    H. Jhuang;T. Serre;L. Wolf;T. Poggio

  • Unsupervised Cross-Domain Image Generation

    Yaniv Taigman;Adam Polyak;Lior Wolf

  • Using the Output Embedding to Improve Language Models

    Ofir Press;Lior Wolf

  • Plasmonic nanostructure design and characterization via Deep Learning.

    Itzik Malkiel;Michael Mrejen;Achiya Nagler;Uri Arieli

  • Non-homogeneous Content-driven Video-retargeting

    L. Wolf;M. Guttmann;D. Cohen-Or

  • Descriptor Based Methods in the Wild

    Lior Wolf;Tal Hassner;Yaniv Taigman

  • Transformer Interpretability Beyond Attention Visualization

    Hila Chefer;Shir Gur;Lior Wolf

  • Local Trinary Patterns for human action recognition

    Lahav Yeffet;Lior Wolf

  • Chest pathology detection using deep learning with non-medical training

    Yaniv Bar;Idit Diamant;Lior Wolf;Sivan Lieberman

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

    L. Wolf;T. Hassner;Y. Taigman

  • System, method and a computer readible medium for providing an output image

    Lior Wolf;Moshe Guttman;Daniel Cohen-Or

  • Learning over sets using kernel principal angles

    Lior Wolf;Amnon Shashua

  • Similarity scores based on background samples

    Lior Wolf;Tal Hassner;Yaniv Taigman

  • Deep learning with non-medical training used for chest pathology identification

    Yaniv Bar;Idit Diamant;Lior Wolf;Hayit Greenspan

  • Optimizing Photo Composition

    Ligang Liu;Renjie Chen;Lior Wolf;Daniel Cohen-Or

  • Associating neural word embeddings with deep image representations using Fisher Vectors

    Benjamin Klein;Guy Lev;Gil Sadeh;Lior Wolf

Frequent Co-Authors

Nachum Dershowitz
Nachum Dershowitz Tel Aviv University
Tal Hassner
Tal Hassner Facebook (United States)
Amnon Shashua
Amnon Shashua Hebrew University of Jerusalem
Daniel Cohen-Or
Daniel Cohen-Or Tel Aviv University
Thomas Serre
Thomas Serre Brown University
Hayit Greenspan
Hayit Greenspan Tel Aviv University
Eytan Ruppin
Eytan Ruppin National Institutes of Health
Marc'Aurelio Ranzato
Marc'Aurelio Ranzato DeepMind (United Kingdom)
Dovi Poznanski
Dovi Poznanski Tel Aviv University

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