H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 36 Citations 6,145 93 World Ranking 5649 National Ranking 85

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Algorithm

Ko Nishino mainly investigates Artificial intelligence, Computer vision, Reflectivity, Diffuse reflection and Specular reflection. Artificial intelligence is often connected to Pattern recognition in his work. His research integrates issues of Geometric data analysis and Robustness in his study of Computer vision.

The various areas that Ko Nishino examines in his Reflectivity study include Video tracking, Object detection, Shadow and Interpolation. His work carried out in the field of Diffuse reflection brings together such families of science as Photometric stereo, Geometric modeling, Polarization, Texture mapping and Real image. In his study, Surface is inextricably linked to Representation, which falls within the broad field of Object.

His most cited work include:

  • Anomaly detection in extremely crowded scenes using spatio-temporal motion pattern models (526 citations)
  • Bayesian Defogging (297 citations)
  • Factorizing Scene Albedo and Depth from a Single Foggy Image (220 citations)

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

Ko Nishino mainly focuses on Artificial intelligence, Computer vision, Reflectivity, Surface and Real image. Ko Nishino combines subjects such as Computer graphics and Pattern recognition with his study of Artificial intelligence. The concepts of his Computer vision study are interwoven with issues in Specular reflection, Catadioptric system and Geometric modeling.

His work in the fields of Reflectivity, such as Photometric stereo, intersects with other areas such as Natural illumination and Field. His Surface study integrates concerns from other disciplines, such as Sharpening, Multispectral image, Absorption, Active appearance model and Spectral power distribution. While the research belongs to areas of Real image, Ko Nishino spends his time largely on the problem of Algorithm, intersecting his research to questions surrounding Artificial neural network, Point cloud and Pose.

He most often published in these fields:

  • Artificial intelligence (83.59%)
  • Computer vision (71.09%)
  • Reflectivity (19.53%)

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

  • Artificial intelligence (83.59%)
  • Computer vision (71.09%)
  • Representation (9.38%)

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

His scientific interests lie mostly in Artificial intelligence, Computer vision, Representation, Real image and Algorithm. His research in Artificial intelligence intersects with topics in Absorption and Pattern recognition. His Pattern recognition study combines topics in areas such as Annotation and Motion.

Ko Nishino conducts interdisciplinary study in the fields of Computer vision and Photography through his research. He usually deals with Real image and limits it to topics linked to Artificial neural network and Inverse problem and Bidirectional reflectance distribution function. Ko Nishino has researched Reflectivity in several fields, including Light-field camera, Light field and Normal mapping.

Between 2018 and 2021, his most popular works were:

  • Recognizing Material Properties from Images (11 citations)
  • Reflectance and Shape Estimation with a Light Field Camera Under Natural Illumination (4 citations)
  • Invertible Neural BRDF for Object Inverse Rendering (3 citations)

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

  • Artificial intelligence
  • Computer vision
  • Algorithm

The scientist’s investigation covers issues in Representation, Real image, Algorithm, Artificial intelligence and Object. His Real image research is multidisciplinary, incorporating perspectives in 3D reconstruction, Pose and Polygon mesh. Ko Nishino interconnects Artificial neural network and Point cloud in the investigation of issues within Algorithm.

The concepts of his Artificial neural network study are interwoven with issues in Bidirectional reflectance distribution function, Prior probability and Inverse problem. His Multispectral image study in the realm of Artificial intelligence connects with subjects such as Surface finish. His Object research incorporates elements of Visualization, Face and Set.

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

Anomaly detection in extremely crowded scenes using spatio-temporal motion pattern models

Louis Kratz;Ko Nishino.
computer vision and pattern recognition (2009)

737 Citations

Bayesian Defogging

Ko Nishino;Louis Kratz;Stephen Lombardi.
International Journal of Computer Vision (2012)

411 Citations

Factorizing Scene Albedo and Depth from a Single Foggy Image

Louis Kratz;Ko Nishino.
international conference on computer vision (2009)

304 Citations

The Appearance of Human Skin: A Survey

Takanori Igarashi;Ko Nishino;Shree K. Nayar.
(2007)

237 Citations

Illumination normalization with time-dependent intrinsic images for video surveillance

Y. Matsushita;K. Nishino;K. Ikeuchi;M. Sakauchi.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2004)

217 Citations

Eigen-texture method: Appearance compression based on 3D model

Ko Nishino;Yoichi Sato;Katsushi Ikeuchi.
computer vision and pattern recognition (1999)

214 Citations

Color constancy through inverse-intensity chromaticity space.

Robby T. Tan;Ko Nishino;Katsushi Ikeuchi.
Journal of The Optical Society of America A-optics Image Science and Vision (2004)

199 Citations

Eyes for relighting

Ko Nishino;Shree K. Nayar.
international conference on computer graphics and interactive techniques (2004)

171 Citations

The Great Buddha Project: Digitally Archiving, Restoring, and Analyzing Cultural Heritage Objects

Katsushi Ikeuchi;Takeshi Oishi;Jun Takamatsu;Ryusuke Sagawa.
International Journal of Computer Vision (2007)

160 Citations

Determining reflectance parameters and illumination distribution from a sparse set of images for view-dependent image synthesis

K. Nishino;Zhengyou Zhang;K. Ikeuchi.
international conference on computer vision (2001)

159 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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