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Computer Science

D-Index
47
Citations
11512
World Ranking
6382
National Ranking
383

Overview

Taku Komura is affiliated with the University of Edinburgh in the United Kingdom and has contributed extensively to research in computer science and engineering. Their body of work spans various subfields, with a particular focus on computer vision and pattern recognition, computational mechanics, control and systems engineering, computer graphics and computer-aided design, and artificial intelligence.

Their research has been published in diverse venues, with frequent contributions to arXiv (Cornell University), ACM Transactions on Graphics, Computer Graphics Forum, Proceedings of the ACM on Computer Graphics and Interactive Techniques, and IEEE Transactions on Visualization and Computer Graphics.

Key recent publications include:

  • NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction (2021, arXiv (Cornell University))
  • FaceFormer: Speech-Driven 3D Facial Animation with Transformers (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR))
  • Local motion phases for learning multi-contact character movements (2020, ACM Transactions on Graphics)
  • DeepPhase (2022, ACM Transactions on Graphics)
  • MotioNet (2020, ACM Transactions on Graphics)

Their main research topics cover computer graphics and visualization techniques, human pose and action recognition, 3D shape modeling and analysis, human motion and animation, advanced vision and imaging, video analysis and summarization, as well as advanced numerical analysis techniques.

Taku Komura has collaborated frequently with several coauthors, including Wenping Wang, Lingjie Liu, Zhiyang Dou, Xiaoxiao Long, and Shiqing Xin.

Best Publications

  • Topology matching for fully automatic similarity estimation of 3D shapes

    Masaki Hilaga;Yoshihisa Shinagawa;Taku Kohmura;Tosiyasu L. Kunii

  • A deep learning framework for character motion synthesis and editing

    Daniel Holden;Jun Saito;Taku Komura

  • NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

    Peng Wang;Lingjie Liu;Yuan Liu;Christian Theobalt

  • Phase-functioned neural networks for character control

    Daniel Holden;Taku Komura;Jun Saito

  • A Virtual Reality Dance Training System Using Motion Capture Technology

    J C P Chan;H Leung;J K T Tang;T Komura

  • Learning motion manifolds with convolutional autoencoders

    Daniel Holden;Jun Saito;Taku Komura;Thomas Joyce

  • FaceFormer: Speech-Driven 3D Facial Animation with Transformers

    Unknown

  • Neural state machine for character-scene interactions

    Sebastian Starke;He Zhang;Taku Komura;Jun Saito

  • Mode-adaptive neural networks for quadruped motion control

    He Zhang;Sebastian Starke;Taku Komura;Jun Saito

  • Spatial relationship preserving character motion adaptation

    Edmond S. L. Ho;Taku Komura;Chiew-Lan Tai

  • A Recurrent Variational Autoencoder for Human Motion Synthesis

    Ikhsanul Habibie;Daniel Holden;Jonathan Schwarz;Joe Yearsley

  • Local motion phases for learning multi-contact character movements

    Sebastian Starke;Yiwei Zhao;Taku Komura;Kazi Zaman

  • DeepPhase

    Unknown

  • F2-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories

    Unknown

  • A Feedback Controller for Biped Humanoids that Can Counteract Large Perturbations During Gait

    T. Komura;H. Leung;Shunsuke Kudoh;J. Kuffner

  • Creating and retargetting motion by the musculoskeletal human body model

    Taku Komura;Yoshihisa Shinagawa;Tosiyasu L. Kunii

  • Computing inverse kinematics with linear programming

    Edmond S. L. Ho;Taku Komura;Rynson W. H. Lau

  • Simulating pathological gait using the enhanced linear inverted pendulum model

    T. Komura;A. Nagano;H. Leung;Y. Shinagawa

  • Optimal coordination of maximal-effort horizontal and vertical jump motions--a computer simulation study.

    Akinori Nagano;Taku Komura;Senshi Fukashiro

  • Interaction patches for multi-character animation

    Hubert P. H. Shum;Taku Komura;Masashi Shiraishi;Shuntaro Yamazaki

  • Relationship descriptors for interactive motion adaptation

    Rami Ali Al-Asqhar;Taku Komura;Myung Geol Choi

  • MotioNet: 3D Human Motion Reconstruction from Monocular Video with Skeleton Consistency

    Mingyi Shi;Kfir Aberman;Andreas Aristidou;Taku Komura

  • Character Motion Synthesis by Topology Coordinates

    Edmond S. L. Ho;Taku Komura

  • Proceedings of the Graphics Interface 2001 Conference

    Taku Komura;Yoshihisa Shinagawa

Frequent Co-Authors

Rynson W. H. Lau
Rynson W. H. Lau City University of Hong Kong
Sethu Vijayakumar
Sethu Vijayakumar University of Edinburgh
Katsushi Ikeuchi
Katsushi Ikeuchi Microsoft (United States)
Yuji Matsumoto
Yuji Matsumoto Nara Institute of Science and Technology
Kevin Duh
Kevin Duh Johns Hopkins University
Wenping Wang
Wenping Wang Texas A&M University
Joanna M. Wardlaw
Joanna M. Wardlaw University of Edinburgh
Tosiyasu L. Kunii
Tosiyasu L. Kunii University of Tokyo
Anatole Lécuyer
Anatole Lécuyer French Institute for Research in Computer Science and Automation - INRIA
Daniel Cohen-Or
Daniel Cohen-Or Tel Aviv University

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