World's Best Scientists 2026 revealed!
Yusuke Sugano

Yusuke Sugano

D-Index & Metrics

Computer Science

D-Index
33
Citations
5603
World Ranking
12544
National Ranking
200

Overview

Yusuke Sugano is affiliated with the University of Tokyo in Japan and conducts research primarily in the field of Computer Science, with a particular focus on Computer Vision and Pattern Recognition. Their body of work includes 68 publications, with significant contributions to subfields such as Human-Computer Interaction, Artificial Intelligence, Signal Processing, and Radiology, Nuclear Medicine and Imaging.

The research topics frequently addressed by Sugano encompass a range of areas related to visual and multimodal data understanding. These include:

  • Gaze Tracking and Assistive Technology
  • Multimodal Machine Learning Applications
  • Hand Gesture Recognition Systems
  • Human Pose and Action Recognition
  • Video Surveillance and Tracking Methods
  • Music and Audio Processing
  • Retinal Imaging and Analysis

Sugano's most frequent publication venues are as follows:

  • arXiv (Cornell University)
  • IEEE Access
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Several papers associated with their research include:

  • Ego4D: Around the World in 3,000 Hours of Egocentric Video (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Interact before Align: Leveraging Cross-Modal Knowledge for Domain Adaptive Action Recognition (2022), published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Deep Photometric Stereo Networks for Determining Surface Normal and Reflectances (2020), featured in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Learning-by-Novel-View-Synthesis for Full-Face Appearance-Based 3D Gaze Estimation (2022), from the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • Light Structure from Pin Motion: Geometric Point Light Source Calibration (2020), published in International Journal of Computer Vision

Frequent collaborators of Sugano include:

  • Yoichi Sato
  • Jiawei Qin
  • Wataru Kawabe
  • Yifei Huang
  • Takuru Shimoyama

Best Publications

  • Appearance-based gaze estimation in the wild

    Xucong Zhang;Yusuke Sugano;Mario Fritz;Andreas Bulling

  • MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation

    Xucong Zhang;Yusuke Sugano;Mario Fritz;Andreas Bulling

  • Ego4D: Around the World in 3,000 Hours of Egocentric Video

    Kristen Grauman;Andrew Westbury;Eugene Byrne;Zachary Chavis

  • It’s Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation

    Xucong Zhang;Yusuke Sugano;Mario Fritz;Andreas Bulling

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

    Yusuke Sugano;Yasuyuki Matsushita;Yoichi Sato

  • Rendering of Eyes for Eye-Shape Registration and Gaze Estimation

    Erroll Wood;Tadas Baltruaitis;Xucong Zhang;Yusuke Sugano

  • Adaptive Linear Regression for Appearance-Based Gaze Estimation.

    Feng Lu;Yusuke Sugano;Takahiro Okabe;Yoichi Sato

  • Appearance-Based Gaze Estimation Using Visual Saliency

    Y. Sugano;Y. Matsushita;Y. Sato

  • Inferring human gaze from appearance via adaptive linear regression

    Feng Lu;Yusuke Sugano;Takahiro Okabe;Yoichi Sato

  • Deep Photometric Stereo Network

    Hiroaki Santo;Masaki Samejima;Yusuke Sugano;Boxin Shi

  • An Incremental Learning Method for Unconstrained Gaze Estimation

    Yusuke Sugano;Yasuyuki Matsushita;Yoichi Sato;Hideki Koike

  • Improving Action Segmentation via Graph-Based Temporal Reasoning

    Yifei Huang;Yusuke Sugano;Yoichi Sato

  • Calibration-free gaze sensing using saliency maps

    Yusuke Sugano;Yasuyuki Matsushita;Yoichi Sato

  • A Head Pose-free Approach for Appearance-based Gaze Estimation

    Feng Lu;Takahiro Okabe;Yusuke Sugano;Yoichi Sato

  • Labeled pupils in the wild: A dataset for studying pupil detection in unconstrained environments

    Marc Tonsen;Xucong Zhang;Yusuke Sugano;Andreas Bulling

  • Learning gaze biases with head motion for head pose-free gaze estimation

    Feng Lu;Takahiro Okabe;Yusuke Sugano;Yoichi Sato

  • Rendering of Eyes for Eye-Shape Registration and Gaze Estimation

    Erroll Wood;Tadas Baltrusaitis;Xucong Zhang;Yusuke Sugano

  • Coupling eye-motion and ego-motion features for first-person activity recognition

    Keisuke Ogaki;Kris M. Kitani;Yusuke Sugano;Yoichi Sato

  • Revisiting data normalization for appearance-based gaze estimation

    Xucong Zhang;Yusuke Sugano;Andreas Bulling

  • InvisibleEye: Mobile Eye Tracking Using Multiple Low-Resolution Cameras and Learning-Based Gaze Estimation

    Marc Tonsen;Julian Steil;Yusuke Sugano;Andreas Bulling

  • Self-Calibrating Head-Mounted Eye Trackers Using Egocentric Visual Saliency

    Yusuke Sugano;Andreas Bulling

  • Evaluation of Appearance-Based Methods and Implications for Gaze-Based Applications

    Xucong Zhang;Yusuke Sugano;Andreas Bulling

Frequent Co-Authors

Yoichi Sato
Yoichi Sato University of Tokyo
Andreas Bulling
Andreas Bulling University of Stuttgart
Yasuyuki Matsushita
Yasuyuki Matsushita Microsoft Research Asia Tokyo
Feng Lu
Feng Lu Beihang University
Mario Fritz
Mario Fritz Helmholtz Center for Information Security
Hideki Koike
Hideki Koike Tokyo Institute of Technology
Peter Robinson
Peter Robinson University of Cambridge
Boxin Shi
Boxin Shi Peking University
Kris M. Kitani
Kris M. Kitani Carnegie Mellon University
Christoph Feichtenhofer
Christoph Feichtenhofer Meta Platforms, Inc.

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