World's Best Scientists 2026 revealed!
Hiroshi Murase

Hiroshi Murase

D-Index & Metrics

Computer Science

D-Index
34
Citations
9930
World Ranking
11904
National Ranking
182

Research.com Recognitions

  • 2006 - IEEE Fellow For contributions to image recognition and multimedia content monitoring systems.

Overview

Hiroshi Murase is affiliated with Nagoya University in Japan, with a research focus spanning Computer Science and Engineering. Their work includes significant contributions to computer vision, pattern recognition, and related artificial intelligence applications.

The main areas of study pursued by Murase cover:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Aerospace Engineering
  • Automotive Engineering
  • Social Psychology

Their research topics include:

  • Human Pose and Action Recognition
  • Video Surveillance and Tracking Methods
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Robotics and Sensor-Based Localization
  • Autonomous Vehicle Technology and Safety
  • Multimodal Machine Learning Applications

Murase has published extensively in several venues, indicating the dissemination platforms for their research as:

  • arXiv (Cornell University)
  • IEEE Access
  • Journal of the Japan Society for Precision Engineering
  • The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
  • Pattern Recognition

The following are some recent papers authored or co-authored by Murase, showing a range of topics and publication years:

  • Masked Face Recognition With Mask Transfer and Self-Attention Under the COVID-19 Pandemic, 2022, IEEE Access
  • Imageability- and Length-Controllable Image Captioning, 2021, IEEE Access
  • Estimating the imageability of words by mining visual characteristics from crawled image data, 2020, Multimedia Tools and Applications
  • Semantic Localization Considering Uncertainty of Object Recognition, 2020, IEEE Robotics and Automation Letters
  • Implicit Interaction with an Autonomous Personal Mobility Vehicle: Relations of Pedestrians' Gaze Behavior with Situation Awareness and Perceived Risks, 2022, International Journal of Human-Computer Interaction

Frequent collaborators with Murase include:

  • Daisuke Deguchi
  • Yasutomo Kawanishi
  • Takatsugu Hirayama
  • Ichiro Ide
  • Jialei Chen

Murase's contributions extend to various interdisciplinary topics connecting engineering and social aspects, notably touching upon areas such as autonomous vehicles and human-computer interaction within their research corpus.

Among distinguished recognitions, Murase was named an IEEE Fellow in 2006 for contributions to image recognition and multimedia content monitoring systems.

Best Publications

  • Visual learning and recognition of 3-D objects from appearance

    Hiroshi Murase;Shree K. Nayar

  • Moving object recognition in eigenspace representation: gait analysis and lip reading

    Hiroshi Murase;Rie Sakai

  • Subspace methods for robot vision

    S.K. Nayar;S.A. Nene;H. Murase

  • Real-time 100 object recognition system

    S.K. Nayar;S.A. Nene;H. Murase

  • A quick search method for audio and video signals based on histogram pruning

    K. Kashino;T. Kurozumi;H. Murase

  • Illumination planning for object recognition using parametric eigenspaces

    H. Murase;S.K. Nayar

  • Rainy weather recognition from in-vehicle camera images for driver assistance

    H. Kurihata;T. Takahashi;I. Ide;Y. Mekada

  • Learning and recognition of 3D objects from appearance

    H. Murase;S.K. Nayar

  • Parametric Feature Detection

    Simon Baker;Shree K. Nayar;Hiroshi Murase

  • Surface shape reconstruction of a nonrigid transport object using refraction and motion

    H. Murase

  • Learning, positioning, and tracking visual appearance

    S.K. Nayar;H. Murase;S.A. Nene

  • On-line handwriting recognition

    T. Wakahara;H. Murase;K. Odaka

  • Estimation of fast transient overvoltage in gas-insulated substation

    S. Yanabu;H. Murase;H. Aoyagi;H. Okubo

  • Detection of 3D objects in cluttered scenes using hierarchical eigenspace

    Hiroshi Murase;Shree K. Nayar

  • A sound source identification system for ensemble music based on template adaptation and music stream extraction

    Kunio Kashino;Hiroshi Murase

  • Time-series active search for quick retrieval of audio and video

    K. Kashino;G. Smith;H. Murase

  • Focused color intersection with efficient searching for object extraction

    Vasudevan V. Vinod;Hiroshi Murase

  • Quick audio retrieval using active search

    G. Smith;H. Murase;K. Kashino

  • Parametric feature detection

    S.K. Nayar;S. Baker;H. Murase

  • Very quick audio searching: introducing global pruning to the Time-Series Active Search

    A. Kimura;K. Kashino;T. Kurozumi;H. Murase

  • Moving camera background-subtraction for obstacle detection on railway tracks

    Hiroki Mukojima;Daisuke Deguchi;Yasutomo Kawanishi;Ichiro Ide

Frequent Co-Authors

Shree K. Nayar
Shree K. Nayar Columbia University
Norihiro Hagita
Norihiro Hagita Advanced Telecommunications Research Institute International
Kensaku Mori
Kensaku Mori Nagoya University
Shin'ichi Satoh
Shin'ichi Satoh National Institute of Informatics
Shihong Lao
Shihong Lao SenseTime
Shigemitsu Okabe
Shigemitsu Okabe TEPCO (Japan)
Masaru Ishii
Masaru Ishii Osaka University
Simon Baker
Simon Baker Microsoft (United States)

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