World's Best Scientists 2026 revealed!
Ko Nishino

Ko Nishino

D-Index & Metrics

Computer Science

D-Index
40
Citations
7298
World Ranking
9255
National Ranking
131

Overview

Ko Nishino is affiliated with Kyoto University in Japan and has contributed extensively to the fields of computer science and engineering through research focused primarily on computer vision and pattern recognition. Their publication record includes works in specialized subfields such as artificial intelligence, aerospace engineering, computer graphics and computer-aided design, and computational mechanics.

The research topics addressed by Nishino encompass a range of advanced areas:

  • Advanced Vision and Imaging
  • Human Pose and Action Recognition
  • Optical Measurement and Interference Techniques
  • Video Surveillance and Tracking Methods
  • Computer Graphics and Visualization Techniques
  • Robotics and Sensor-Based Localization
  • Anomaly Detection Techniques and Applications

Nishino's publication venues demonstrate a strong presence in both conference proceedings and journals focused on imaging, pattern analysis, and robotics. The most frequent venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Robotics and Automation Letters
  • Image and Vision Computing
  • International Journal of Computer Vision

Recent papers by Nishino span several topics in computer vision and related fields:

  • "Multimodal Material Segmentation," 2022, presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Differential Viewpoints for Ground Terrain Material Recognition," 2020, published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Extrinsic Camera Calibration From a Moving Person," 2022, published in IEEE Robotics and Automation Letters
  • "Depth Sensing by Near-Infrared Light Absorption in Water," 2020, published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "nLMVS-Net: Deep Non-Lambertian Multi-View Stereo," 2023, presented at the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Throughout their career, Nishino has collaborated frequently with several co-authors, enhancing multidisciplinary research efforts. Notable collaborators include:

  • Shohei Nobuhara
  • Kohei Yamashita
  • Yinqiang Zheng
  • Ryosuke Wakaki
  • Yuto Enyo

Nishino's work is situated at the intersection of computer vision, robotics, and imaging techniques, contributing to developments in sensor technology and visual recognition methods. The body of work reflects a consistent engagement with improving automated scene understanding and measurement through advanced computational models and sensor data processing.

Best Publications

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

    Louis Kratz;Ko Nishino

  • Bayesian Defogging

    Ko Nishino;Louis Kratz;Stephen Lombardi

  • Factorizing Scene Albedo and Depth from a Single Foggy Image

    Louis Kratz;Ko Nishino

  • The Appearance of Human Skin: A Survey

    Takanori Igarashi;Ko Nishino;Shree K. Nayar

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

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

  • Color constancy through inverse-intensity chromaticity space.

    Robby T. Tan;Ko Nishino;Katsushi Ikeuchi

  • Eigen-texture method: appearance compression based on 3D model

    Ko Nishino;Yoichi Sato;Katsushi Ikeuchi

  • Eyes for relighting

    Ko Nishino;Shree K. Nayar

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

    Katsushi Ikeuchi;Takeshi Oishi;Jun Takamatsu;Ryusuke Sagawa

  • Tracking Pedestrians Using Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes

    L. Kratz;K. Nishino

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

    K. Nishino;Zhengyou Zhang;K. Ikeuchi

  • Scale-Dependent/Invariant Local 3D Shape Descriptors for Fully Automatic Registration of Multiple Sets of Range Images

    John Novatnack;Ko Nishino

  • Separating reflection components based on chromaticity and noise analysis

    R.T. Tan;K. Nishino;K. Ikeuchi

  • Robust Simultaneous Registration of Multiple Range Images

    Ko Nishino;Katsushi Ikeuchi

  • Scale-Dependent 3D Geometric Features

    J. Novatnack;K. Nishino

  • View-dependent image synthesis

    Zhengyou Zhang;Ko Nishino;Katsushi Ikeuchi

  • Light source position and reflectance estimation from a single view without the distant illumination assumption

    K. Hara;K. Nishino;K. lkeuchi

  • Simultaneous 2D images and 3D geometric model registration for texture mapping utilizing reflectance attribute

    Ryo Kurazume;Ko Nishino;Zhengyou Zhang;Katsushi Ikeuchi

  • Reflectance and Illumination Recovery in the Wild

    Stephen Lombardi;Ko Nishino

  • Tracking with local spatio-temporal motion patterns in extremely crowded scenes

    Louis Kratz;Ko Nishino

Frequent Co-Authors

Katsushi Ikeuchi
Katsushi Ikeuchi Microsoft (United States)
Shree K. Nayar
Shree K. Nayar Columbia University
Yoichi Sato
Yoichi Sato University of Tokyo
Kristin J. Dana
Kristin J. Dana Rutgers, The State University of New Jersey
Yasuyuki Matsushita
Yasuyuki Matsushita Microsoft Research Asia Tokyo
Zhengyou Zhang
Zhengyou Zhang Tencent (China)
Yasushi Yagi
Yasushi Yagi Osaka University
Dinesh Manocha
Dinesh Manocha University of Maryland, College Park
Mubarak Shah
Mubarak Shah University of Central Florida
Vincent Lepetit
Vincent Lepetit École des Ponts ParisTech

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