World's Best Scientists 2026 revealed!

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Computer Science

D-Index
91
Citations
27015
World Ranking
587
National Ranking
313

Research.com Recognitions

  • 2020 - Fellow of the International Association for Pattern Recognition (IAPR) For fundamental contributions to computer vision applied to robotics and man-machine interaction
  • 1998 - IEEE Fellow For contributions to the advancement of robot vision technology.

Overview

Katsushi Ikeuchi is affiliated with Microsoft in the United States. Their work primarily centers on computer science and engineering, with a substantial focus on subfields such as computer vision and pattern recognition, artificial intelligence, control and systems engineering, human-computer interaction, and biomedical engineering.

Over the course of their career, Katsushi Ikeuchi has contributed to various research topics including:

  • Robot manipulation and learning
  • Multimodal machine learning applications
  • Hand gesture recognition systems
  • Human pose and action recognition
  • Reinforcement learning in robotics
  • Speech and dialogue systems
  • 3D surveying and cultural heritage

The scientist has coauthored extensively with colleagues such as Naoki Wake, Kazuhiro Sasabuchi, Jun Takamatsu, Atsushi Kanehira, and Hiroshi Kawasaki.

Katsushi Ikeuchi's frequent publication venues indicate an active presence in respected forums, including:

  • arXiv (Cornell University)
  • IEEE Access
  • 2022 IEEE/SICE International Symposium on System Integration (SII)
  • International Journal of Computer Vision
  • Zenodo (CERN European Organization for Nuclear Research)

Selected recent publications include:

  • "Semantic constraints to represent common sense required in household actions for multimodal learning-from-observation robot" (2023) published in The International Journal of Robotics Research
  • "ChatGPT Empowered Long-Step Robot Control in Various Environments: A Case Application" (2023) published in IEEE Access
  • "GPT-4V(ision) for Robotics: Multimodal Task Planning From Human Demonstration" (2024) published in IEEE Robotics and Automation Letters
  • "Agent AI: Surveying the Horizons of Multimodal Interaction" (2024) published in arXiv (Cornell University)
  • "A Multimodal Learning-from-Observation Towards All-at-once Robot Teaching using Task Cohesion" (2022) presented at the 2022 IEEE/SICE International Symposium on System Integration (SII)

In terms of book publications, Katsushi Ikeuchi has contributed works published by Springer International Publishing and Morgan & Claypool Publishers. Notable titles include:

  • "Active Lighting and Its Application for Computer Vision" (2020)
  • "Learning-from-Observation 2.0" (2025)

Katsushi Ikeuchi has received recognitions such as being named a Fellow of the International Association for Pattern Recognition (IAPR) in 2020 for contributions related to computer vision applied to robotics and man-machine interaction, as well as being named an IEEE Fellow in 1998 for advances in robot vision technology.

Best Publications

  • Numerical shape from shading and occluding boundaries

    Katsushi Ikeuchi;Berthold K. P. Horn

  • Object shape and reflectance modeling from observation

    Yoichi Sato;Mark D. Wheeler;Katsushi Ikeuchi

  • Traffic monitoring and accident detection at intersections

    S. Kamijo;Y. Matsushita;K. Ikeuchi;M. Sakauchi

  • Determining surface orientations of specular surfaces by using the photometric stereo method

    Katsushi Ikeuchi

  • Determining shape and reflectance of hybrid surfaces by photometric sampling

    S.K. Nayar;K. Ikeuchi;T. Kanade

  • Acquiring a radiance distribution to superimpose virtual objects onto a real scene

    Imari Sato;Yoichi Sato;Katsushi Ikeuchi

  • Toward an assembly plan from observation. I. Task recognition with polyhedral objects

    K. Ikeuchi;T. Suehiro

  • Separating reflection components of textured surfaces using a single image

    R.T. Tan;K. Ikeuchi

  • Consensus surfaces for modeling 3D objects from multiple range images

    Mark K. Wheeler;Yoichi Sato;Katsushi Ikeuchi

  • High-resolution hyperspectral imaging via matrix factorization

    Rei Kawakami;Yasuyuki Matsushita;John Wright;Moshe Ben-Ezra

  • Principal component analysis with missing data and its application to polyhedral object modeling

    Harry Shum;Katsushi Ikeuchi;Raj Reddy

  • Shape from interreflections

    Shree K. Nayar;Katsushi Ikeuchi;Takeo Kanade

  • Temporal-color space analysis of reflection

    Yoichi Sato;Katsushi Ikeuchi

  • Automatic generation of object recognition programs

    K. Ikeuchi;T. Kanade

  • Generating whole body motions for a biped humanoid robot from captured human dances

    S. Nakaoka;A. Nakazawa;K. Yokoi;H. Hirukawa

  • Generating an interpretation tree from a CAD model for 3D-object recognition in bin-picking tasks

    Katsushi Ikeuchi

  • Transparent surface modeling from a pair of polarization images

    D. Miyazaki;M. Kagesawa;K. Ikeuchi

  • Detectability, uniqueness, and reliability of eigen windows for stable verification of partially occluded objects

    K. Ohba;K. Ikeuchi

  • Illumination from shadows

    I. Sato;Y. Sato;K. Ikeuchi

  • Shape representation and image segmentation using deformable surfaces

    H. Delingette;M. Hebert;K. Ikeuchi

Frequent Co-Authors

Yoichi Sato
Yoichi Sato University of Tokyo
Ko Nishino
Ko Nishino Kyoto University
Martial Hebert
Martial Hebert Carnegie Mellon University
Takeo Kanade
Takeo Kanade Carnegie Mellon University
Yasuyuki Matsushita
Yasuyuki Matsushita Microsoft Research Asia Tokyo
Shree K. Nayar
Shree K. Nayar Columbia University
Sing Bing Kang
Sing Bing Kang Zillow Group (United States)
Hervé Delingette
Hervé Delingette French Institute for Research in Computer Science and Automation - INRIA
Heung-Yeung Shum
Heung-Yeung Shum Microsoft (United States)

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