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Engineering and Technology

D-Index
48
Citations
10915
World Ranking
4501
National Ranking
31

Overview

Gal Chechik is a researcher primarily affiliated with Bar-Ilan University in Israel. Their work is situated within the broad field of computer science, with a particular focus on computer vision and pattern recognition as well as artificial intelligence. Chechik's contributions span several subfields including control and systems engineering, computer networks and communications, and signal processing.

Chechik's research topics encompass a range of areas in machine learning and computer vision. These include multimodal machine learning applications, domain adaptation and few-shot learning, generative adversarial networks and image synthesis, video analysis and summarization, image retrieval and classification techniques, advanced image and video retrieval techniques, and reinforcement learning in robotics.

The researcher has published extensively, with notable publication venues including:

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

Some recent papers by Chechik and frequent co-authors are:

  • "An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion" (2022), arXiv (Cornell University)
  • "StyleGAN-NADA" (2022), ACM Transactions on Graphics
  • "DETReg: Unsupervised Pretraining with Region Priors for Object Detection" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models" (2023), ACM Transactions on Graphics
  • "Object-Region Video Transformers" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Chechik frequently collaborates with other researchers, including Shie Mannor, Rinon Gal, Haggai Maron, Ethan Fetaya, and Yuval Atzmon. These frequent coauthors contribute to a significant portion of the research output alongside Chechik.

Best Publications

  • Large Scale Online Learning of Image Similarity Through Ranking

    Gal Chechik;Varun Sharma;Uri Shalit;Samy Bengio

  • StyleGAN-NADA

    Unknown

  • Euclidean Embedding of Co-occurrence Data

    Amir Globerson;Gal Chechik;Fernando Pereira;Naftali Tishby

  • Information Bottleneck for Gaussian Variables

    Gal Chechik;Amir Globerson;Naftali Tishby;Yair Weiss

  • Learning from Noisy Large-Scale Datasets with Minimal Supervision

    Andreas Veit;Neil Alldrin;Gal Chechik;Ivan Krasin

  • Functional Organization of the S. cerevisiae Phosphorylation Network

    Dorothea Fiedler;Dorothea Fiedler;Hannes Braberg;Monika Mehta;Gal Chechik

  • Reduction of Information Redundancy in the Ascending Auditory Pathway

    Gal Chechik;Michael J. Anderson;Omer Bar-Yosef;Eric D. Young

  • Neuronal regulation: a mechanism for synaptic pruning during brain maturation

    Gal Chechik;Isaac Meilijson;Eytan Ruppin

  • Synaptic pruning in development: a computational account

    Gal Chechik;Isaac Meilijson;Eytan Ruppin

  • A unifying principle underlying the extracellular field potential spectral responses in the human cortex

    Ella Podvalny;Niv Noy;Niv Noy;Michal Harel;Stephan Bickel

  • Activity Motifs Reveal Principles of Timing in Transcriptional Control of the Yeast Metabolic Network

    Gal Chechik;Eugene Oh;Oliver Rando;Jonathan Weissman

  • Encoding stimulus information by spike numbers and mean response time in primary auditory cortex.

    Israel Nelken;Gal Chechik;Gal Chechik;Thomas D. Mrsic-Flogel;Thomas D. Mrsic-Flogel;Andrew J. King

  • Self-Supervised Learning for Domain Adaptation on Point Clouds

    Idan Achituve;Haggai Maron;Gal Chechik

  • Max-margin Classification of Data with Absent Features

    Gal Chechik;Geremy Heitz;Gal Elidan;Pieter Abbeel

  • Large Scale Online Learning of Image Similarity through Ranking

    Gal Chechik;Varun Sharma;Uri Shalit;Samy Bengio

  • An Online Algorithm for Large Scale Image Similarity Learning

    Gal Chechik;Uri Shalit;Varun Sharma;Samy Bengio

  • Context-Aware Captions from Context-Agnostic Supervision

    Ramakrishna Vedantam;Samy Bengio;Kevin Murphy;Devi Parikh

  • Large-scale content-based audio retrieval from text queries

    Gal Chechik;Eugene Ie;Martin Rehn;Samy Bengio

  • DETReg: Unsupervised Pretraining with Region Priors for Object Detection

    Amir Bar;Xin Wang;Vadim Kantorov;Colorado J. Reed

  • Timing of gene expression responses to environmental changes.

    Gal Chechik;Daphne Koller

  • Extracting Relevant Structures with Side Information

    Gal Chechik;Naftali Tishby

  • Contrastive Learning for Weakly Supervised Phrase Grounding

    Tanmay Gupta;Arash Vahdat;Gal Chechik;Gal Chechik;Xiaodong Yang

Frequent Co-Authors

Amir Globerson
Amir Globerson Tel Aviv University
Naftali Tishby
Naftali Tishby Hebrew University of Jerusalem
Samy Bengio
Samy Bengio Apple (United States)
Eytan Ruppin
Eytan Ruppin National Institutes of Health
Jonathan Berant
Jonathan Berant Tel Aviv University
Daphne Koller
Daphne Koller insitro Inc.
Israel Nelken
Israel Nelken Hebrew University of Jerusalem
Shie Mannor
Shie Mannor Technion – Israel Institute of Technology
Trevor Darrell
Trevor Darrell University of California, Berkeley
Richard F. Lyon
Richard F. Lyon Google (United States)

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