World's Best Scientists 2026 revealed!
Yasuyuki Matsushita

Yasuyuki Matsushita

Award Badge
Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
57
Citations
13383
World Ranking
3826
National Ranking
35

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Yasuyuki Matsushita is affiliated with Osaka University in Japan and has contributed extensively to the fields of computer science and engineering, particularly within computer vision and pattern recognition.

Their research spans several subfields, including:

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Computational Mechanics
  • Geology
  • Aerospace Engineering

Main topics covered in their work include:

  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • Optical measurement and interference techniques
  • 3D Surveying and Cultural Heritage
  • Robotics and Sensor-Based Localization
  • 3D Shape Modeling and Analysis
  • Color Science and Applications

A significant portion of their publications appear in prominent venues such as:

  • International Journal of Computer Vision
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Frequent coauthors include:

  • Yasuhiro Mukaigawa
  • Fumio Okura
  • Katsushi Ikeuchi
  • Ryusuke Sagawa
  • Hiroshi Kawasaki

Recent papers authored by or associated with Matsushita include:

  • Deep Photometric Stereo for Non-Lambertian Surfaces, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • A Closer Look at Rotation-invariant Deep Point Cloud Analysis, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Deep Photometric Stereo Networks for Determining Surface Normal and Reflectances, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Patch-Based Uncalibrated Photometric Stereo Under Natural Illumination, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Eliminating Temporal Illumination Variations in Whisk-broom Hyperspectral Imaging, 2022, International Journal of Computer Vision

In addition to journal and conference publications, Matsushita has contributed to book literature, including a publication with Springer International Publishing titled Active Lighting and Its Application for Computer Vision (2020).

Best Publications

  • Traffic monitoring and accident detection at intersections

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

  • Full-frame video stabilization with motion inpainting

    Y. Matsushita;E. Ofek;Weina Ge;Xiaoou Tang

  • Motion detail preserving optical flow estimation

    Li Xu;Jiaya Jia;Yasuyuki Matsushita

  • GMS: Grid-Based Motion Statistics for Fast, Ultra-Robust Feature Correspondence

    Jiawang Bian;Wen-Yan Lin;Yasuyuki Matsushita;Sai-Kit Yeung

  • RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews from Unsupervised Viewpoints

    Asako Kanezaki;Yasuyuki Matsushita;Yoshifumi Nishida

  • Learning-by-Synthesis for Appearance-Based 3D Gaze Estimation

    Yusuke Sugano;Yasuyuki Matsushita;Yoichi Sato

  • GMS: Grid-Based Motion Statistics for Fast, Ultra-robust Feature Correspondence

    Jia-Wang Bian;Wen-Yan Lin;Yun Liu;Le Zhang

  • Robust photometric stereo via low-rank matrix completion and recovery

    Lun Wu;Arvind Ganesh;Boxin Shi;Yasuyuki Matsushita

  • High-resolution hyperspectral imaging via matrix factorization

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

  • Smoothly varying affine stitching

    Wen-Yan Lin;Siying Liu;Yasuyuki Matsushita;Tian-Tsong Ng

  • A Holistic Approach to Cross-Channel Image Noise Modeling and Its Application to Image Denoising

    Seonghyeon Nam;Youngbae Hwang;Yasuyuki Matsushita;Seon Joo Kim

  • Removing Non-Uniform Motion Blur from Images

    Sunghyun Cho;Y. Matsushita;Seungyong Lee

  • Appearance-Based Gaze Estimation Using Visual Saliency

    Y. Sugano;Y. Matsushita;Y. Sato

  • Illumination normalization with time-dependent intrinsic images for video surveillance

    Y. Matsushita;K. Nishino;K. Ikeuchi;M. Sakauchi

  • A theory of inverse light transport

    S.M. Seitz;Y. Matsushita;K.N. Kutulakos

  • Full-frame video stabilization

    Yasuyuki Matsushita;Eyal Ofek;Xiaoou Tang;Heung-Yeung Shum

  • Space-Time Video Montage

    Hong-Wen Kang;Xue-Quan Chen;Y. Matsushita;Xiaoou Tang

  • Robust photometric stereo using sparse regression

    Satoshi Ikehata;David Wipf;Yasuyuki Matsushita;Kiyoharu Aizawa

  • High-quality shape from multi-view stereo and shading under general illumination

    Chenglei Wu;Bennett Wilburn;Yasuyuki Matsushita;Christian Theobalt

  • Continuous 3D Label Stereo Matching Using Local Expansion Moves

    Tatsunori Taniai;Yasuyuki Matsushita;Yoichi Sato;Takeshi Naemura

Frequent Co-Authors

Katsushi Ikeuchi
Katsushi Ikeuchi Microsoft (United States)
Boxin Shi
Boxin Shi Peking University
Yasushi Yagi
Yasushi Yagi Osaka University
Yusuke Sugano
Yusuke Sugano University of Tokyo
In So Kweon
In So Kweon Korea Advanced Institute of Science and Technology
Heung-Yeung Shum
Heung-Yeung Shum Microsoft (United States)
Yoichi Sato
Yoichi Sato University of Tokyo
Yu-Wing Tai
Yu-Wing Tai Hong Kong University of Science and Technology
Xiaoou Tang
Xiaoou Tang Chinese University of Hong Kong
Stephen Lin
Stephen Lin Microsoft Research Asia (China)

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