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Yasutaka Furukawa

Yasutaka Furukawa

D-Index & Metrics

Computer Science

D-Index
40
Citations
21116
World Ranking
9017
National Ranking
357

Overview

Yasutaka Furukawa is affiliated with Simon Fraser University in Canada. Their research primarily focuses on the fields of Computer Science and Engineering, with notable contributions to several subfields including Computer Vision and Pattern Recognition, Computational Mechanics, Aerospace Engineering, Geology, and Computer Graphics and Computer-Aided Design.

The scientist's work covers multiple main research topics, notably Advanced Vision and Imaging, 3D Shape Modeling and Analysis, Advanced Image and Video Retrieval Techniques, Robotics and Sensor-Based Localization, 3D Surveying and Cultural Heritage, Generative Adversarial Networks and Image Synthesis, and Computer Graphics and Visualization Techniques.

Key recent publications by Yasutaka Furukawa include:

  • Neural Inertial Localization, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • HEAT: Holistic Edge Attention Transformer for Structured Reconstruction, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation, 2020, arXiv (Cornell University)
  • MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion, 2023, arXiv (Cornell University)
  • BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry, 2024, ACM Transactions on Graphics

Furukawa frequently publishes in the following venues:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • ACM Transactions on Graphics
  • 2022 International Conference on Robotics and Automation (ICRA)

Collaboration is a notable aspect of Furukawa's research career. Frequent co-authors include Jiacheng Chen, Nelson Nauata, Xiang Xu, Fuyang Zhang, and Chin-Yi Cheng.

Best Publications

  • Accurate, Dense, and Robust Multiview Stereopsis

    Yasutaka Furukawa;Jean Ponce

  • Accurate, Dense, and Robust Multi-View Stereopsis

    Y. Furukawa;J. Ponce

  • Building Rome in a day

    Sameer Agarwal;Yasutaka Furukawa;Noah Snavely;Ian Simon

  • Building Rome in a day

    Sameer Agarwal;Noah Snavely;Ian Simon;Steven M. Seitz

  • Towards Internet-scale multi-view stereo

    Yasutaka Furukawa;Brian Curless;Steven M. Seitz;Richard Szeliski

  • Manhattan-world stereo

    Yasutaka Furukawa;Brian Curless;Steven M Seitz;Richard Szeliski

  • Reconstructing building interiors from images

    Yasutaka Furukawa;Brian Curless;Steven M. Seitz;Richard Szeliski

  • Multi-View Stereo: A Tutorial

    Yasutaka Furukawa;Carlos Hernández

  • Carved Visual Hulls for Image-Based Modeling

    Yasutaka Furukawa;Jean Ponce

  • Accurate Camera Calibration from Multi-View Stereo and Bundle Adjustment

    Yasutaka Furukawa;Jean Ponce

  • Dense 3D motion capture from synchronized video streams

    Y. Furukawa;J. Ponce

  • Reconstructing the World's Museums

    Jianxiong Xiao;Yasutaka Furukawa

  • Reconstructing the world's museums

    Jianxiong Xiao;Yasutaka Furukawa

  • House-GAN: Relational Generative Adversarial Networks for Graph-Constrained House Layout Generation

    Nelson Nauata;Kai-Hung Chang;Chin-Yi Cheng;Greg Mori

  • Raster-to-Vector: Revisiting Floorplan Transformation

    Chen Liu;Jiajun Wu;Pushmeet Kohli;Yasutaka Furukawa

  • RoNIN: Robust Neural Inertial Navigation in the Wild: Benchmark, Evaluations, & New Methods

    Sachini Herath;Hang Yan;Yasutaka Furukawa

  • PlaneRCNN: 3D Plane Detection and Reconstruction From a Single Image

    Chen Liu;Kihwan Kim;Jinwei Gu;Yasutaka Furukawa

  • RIDI: Robust IMU Double Integration

    Hang Yan;Qi Shan;Yasutaka Furukawa

  • PlaneNet: Piece-Wise Planar Reconstruction from a Single RGB Image

    Chen Liu;Jimei Yang;Duygu Ceylan;Ersin Yumer

  • Structured Indoor Modeling

    Satoshi Ikehata;Hang Yang;Yasutaka Furukawa

Frequent Co-Authors

Jean Ponce
Jean Ponce École Normale Supérieure
Steven M. Seitz
Steven M. Seitz University of Washington
Brian Curless
Brian Curless University of Washington
Richard Szeliski
Richard Szeliski University of Washington
Jianxiong Xiao
Jianxiong Xiao AutoX, Inc.
Pushmeet Kohli
Pushmeet Kohli DeepMind (United Kingdom)
David J. Kriegman
David J. Kriegman University of California, San Diego
Kihwan Kim
Kihwan Kim Nvidia (United Kingdom)
Duygu Ceylan
Duygu Ceylan Adobe Systems (United States)
Jiajun Wu
Jiajun Wu Stanford University

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