World's Best Scientists 2026 revealed!

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Computer Science

D-Index
83
Citations
35648
World Ranking
889
National Ranking
16

Research.com Recognitions

  • 2016 - IAPR Maria Petrou Prize For pioneering contributions to space-time video analysis, motion estimation and image analysis by composition, and as a role model for early career researchers striving for excellence and rigour in the fields of computer vision and pattern recognition.

Overview

Michal Irani is affiliated with the Weizmann Institute of Science in Israel. Their research primarily spans the field of Computer Science with a focus on Computer Vision and Pattern Recognition. The subfields of study detailed in their work include Artificial Intelligence, Biophysics, Cognitive Neuroscience, and Media Technology.

The scientist's publications cover a range of topics in image analysis and machine learning. Main topics of their research include Generative Adversarial Networks and Image Synthesis, Advanced Vision and Imaging, Cell Image Analysis Techniques, Advanced Image Processing Techniques, Image Processing Techniques and Applications, Adversarial Robustness in Machine Learning, and Image and Signal Denoising Methods.

Michal Irani has published extensively in venues such as arXiv (Cornell University), with 23 papers, as well as individual publications in the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), NeuroImage, the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and EBioMedicine.

Some of their recent papers include the following:

  • Explaining in Style: Training a GAN to explain a classifier in StyleSpace, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Self-supervised Natural Image Reconstruction and Large-scale Semantic Classification from Brain Activity, 2022, NeuroImage
  • Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Using generative AI to investigate medical imagery models and datasets, 2024, EBioMedicine
  • Imagic: Text-Based Real Image Editing with Diffusion Models, 2022, arXiv (Cornell University)

Frequent collaborators in Michal Irani's work include Shai Bagon, Niv Haim, Assaf Shocher, Niv Granot, and Oran Lang.

Michal Irani was awarded the IAPR Maria Petrou Prize in 2016. The award recognized contributions to space-time video analysis, motion estimation, image analysis by composition, and the role as a model for early career researchers focusing on excellence and rigor in computer vision and pattern recognition.

Best Publications

  • Improving resolution by image registration

    Michal Irani;Shmuel Peleg

  • Super-resolution from a single image

    Daniel Glasner;Shai Bagon;Michal Irani

  • Actions as space-time shapes

    M. Blank;L. Gorelick;E. Shechtman;M. Irani

  • Actions as Space-Time Shapes

    L. Gorelick;M. Blank;E. Shechtman;M. Irani

  • In defense of Nearest-Neighbor based image classification

    O. Boiman;E. Shechtman;M. Irani

  • Matching Local Self-Similarities across Images and Videos

    E. Shechtman;M. Irani

  • Motion Analysis for Image Enhancement: Resolution, Occlusion, and Transparency

    Michal Irani;Shmuel Peleg

  • Imagic: Text-Based Real Image Editing with Diffusion Models

    Unknown

  • Space-Time Completion of Video

    Y. Wexler;E. Shechtman;M. Irani

  • Detecting Irregularities in Images and in Video

    Oren Boiman;Michal Irani

  • Zero-Shot Super-Resolution Using Deep Internal Learning

    Assaf Shocher;Nadav Cohen;Michal Irani

  • Summarizing visual data using bidirectional similarity

    D. Simakov;Y. Caspi;E. Shechtman;M. Irani

  • Computing occluding and transparent motions

    Michal Irani;Benny Rousso;Shmuel Peleg

  • System for automatically aligning images to form a mosaic image

    Peter J. Burt;Michal Irani;Stephen Charles Hsu;Padmanabhan Anandan

  • Event-based analysis of video

    L. Zelnik-Manor;M. Irani

  • Space-time video completion

    Y. Wexler;E. Shechtman;M. Irani

  • About Direct Methods

    Michal Irani;P. Anandan

  • A unified approach to moving object detection in 2D and 3D scenes

    M. Irani;P. Anandan

  • Mosaic based representations of video sequences and their applications

    M. Irani;P. Anandan;S. Hsu

  • Video indexing based on mosaic representations

    M. Irani;P. Anandan

  • Space-time behavior based correlation

    E. Shechtman;M. Irani

Frequent Co-Authors

Padmanabhan Anandan
Padmanabhan Anandan Microsoft (United States)
Lihi Zelnik-Manor
Lihi Zelnik-Manor Technion – Israel Institute of Technology
Shmuel Peleg
Shmuel Peleg Hebrew University of Jerusalem
Rakesh Kumar
Rakesh Kumar SRI International
Richard Szeliski
Richard Szeliski University of Washington
Peter J. Burt
Peter J. Burt SRI International
Bill Triggs
Bill Triggs Laboratoire Jean Kuntzmann
Daphna Weinshall
Daphna Weinshall Hebrew University of Jerusalem

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