H-Index & Metrics Top Publications
Yasuyuki Matsushita

Yasuyuki Matsushita

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 47 Citations 9,194 142 World Ranking 3283 National Ranking 38

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Statistics

Yasuyuki Matsushita focuses on Artificial intelligence, Computer vision, Iterative reconstruction, Reflectivity and Photometric stereo. His study brings together the fields of Pattern recognition and Artificial intelligence. His Computer vision study frequently draws parallels with other fields, such as Robustness.

His biological study deals with issues like Computer graphics, which deal with fields such as Quality, Range and Surface. Yasuyuki Matsushita interconnects RGB color model, Sparse matrix and Inverse in the investigation of issues within Reflectivity. His Photometric stereo research incorporates themes from Low-rank approximation, Matrix norm, Heuristic and Matrix completion.

His most cited work include:

  • Traffic monitoring and accident detection at intersections (440 citations)
  • Full-frame video stabilization with motion inpainting (427 citations)
  • Motion detail preserving optical flow estimation (397 citations)

What are the main themes of his work throughout his whole career to date?

Yasuyuki Matsushita spends much of his time researching Artificial intelligence, Computer vision, Photometric stereo, Algorithm and Computer graphics. Yasuyuki Matsushita has included themes like Surface and Pattern recognition in his Artificial intelligence study. His research integrates issues of Object, Image noise, Categorization and Outlier in his study of Pattern recognition.

His Computer vision study frequently links to related topics such as Reflectivity. His Photometric stereo study integrates concerns from other disciplines, such as Isotropy, Stereo camera, Calibration and Normal. His study in the field of Singular value decomposition is also linked to topics like Shot noise.

He most often published in these fields:

  • Artificial intelligence (77.16%)
  • Computer vision (62.94%)
  • Photometric stereo (21.32%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (77.16%)
  • Computer vision (62.94%)
  • Photometric stereo (21.32%)

In recent papers he was focusing on the following fields of study:

His main research concerns Artificial intelligence, Computer vision, Photometric stereo, Normal and Reflectivity. His Artificial intelligence study frequently draws connections to adjacent fields such as Pattern recognition. The study incorporates disciplines such as Image based and Feature in addition to Pattern recognition.

Yasuyuki Matsushita has researched Computer vision in several fields, including Time of flight and Calibration. His Photometric stereo research is multidisciplinary, incorporating elements of Computational photography, Polarization, Cast shadow, Structured light and Remote sensing. His biological study spans a wide range of topics, including Algorithm, Computation and Point.

Between 2018 and 2021, his most popular works were:

  • Self-Calibrating Deep Photometric Stereo Networks (22 citations)
  • Learning to Minify Photometric Stereo (15 citations)
  • Deep Photometric Stereo for Non-Lambertian Surfaces. (8 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Optics

Artificial intelligence, Computer vision, Photometric stereo, Normal and Image formation are his primary areas of study. His Artificial intelligence research is multidisciplinary, relying on both Isotropy and Surface. A large part of his Computer vision studies is devoted to Stereo camera.

His Photometric stereo research includes elements of Point, Local search and Robustness. His studies in Normal integrate themes in fields like Light intensity, Bilinear interpolation, Calibration and Minification. His research in Image formation intersects with topics in Flashlight, Normal mapping, Stereoscopy and Flash.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Traffic monitoring and accident detection at intersections

S. Kamijo;Y. Matsushita;K. Ikeuchi;M. Sakauchi.
IEEE Transactions on Intelligent Transportation Systems (2000)

695 Citations

Motion detail preserving optical flow estimation

Li Xu;Jiaya Jia;Yasuyuki Matsushita.
computer vision and pattern recognition (2010)

598 Citations

Full-frame video stabilization with motion inpainting

Y. Matsushita;E. Ofek;Weina Ge;Xiaoou Tang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2006)

562 Citations

Robust photometric stereo via low-rank matrix completion and recovery

Lun Wu;Arvind Ganesh;Boxin Shi;Yasuyuki Matsushita.
asian conference on computer vision (2010)

290 Citations

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

Jiawang Bian;Wen-Yan Lin;Yasuyuki Matsushita;Sai-Kit Yeung.
computer vision and pattern recognition (2017)

247 Citations

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

Asako Kanezaki;Yasuyuki Matsushita;Yoshifumi Nishida.
computer vision and pattern recognition (2018)

246 Citations

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

Yusuke Sugano;Yasuyuki Matsushita;Yoichi Sato.
computer vision and pattern recognition (2014)

238 Citations

High-resolution hyperspectral imaging via matrix factorization

Rei Kawakami;Yasuyuki Matsushita;John Wright;Moshe Ben-Ezra.
computer vision and pattern recognition (2011)

232 Citations

Smoothly varying affine stitching

Wen-Yan Lin;Siying Liu;Yasuyuki Matsushita;Tian-Tsong Ng.
computer vision and pattern recognition (2011)

229 Citations

Removing Non-Uniform Motion Blur from Images

Sunghyun Cho;Y. Matsushita;Seungyong Lee.
international conference on computer vision (2007)

221 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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