Ryosuke Furuta
Research Associate (Oct. 2020 - present)
Y. Sato Laboratory
Institute of Industrial Science, The University of Tokyo, Japan
E-mail: furuta (at) iis.u-tokyo.ac.jp
Visiting Researcher (Nov. 2020 - present)
Taniguchi Laboratory
Department of Information and Computer Technology, Tokyo University of Science, Japan
Y. Sato Laboratory
Institute of Industrial Science, The University of Tokyo, Japan
E-mail: furuta (at) iis.u-tokyo.ac.jp
Visiting Researcher (Nov. 2020 - present)
Taniguchi Laboratory
Department of Information and Computer Technology, Tokyo University of Science, Japan
Research Interests
Optimization for Computer Vision and Image Processing.
Work Experience
- Assistant Professor (Apr. 2019 - Sep. 2020)
- Taniguchi Laboratory
Department of Information and Computer Technology, Tokyo University of Science, Japan - Visiting Researcher (May 2019 - Sep. 2020)
- Yamasaki Laboratory
Department of Information and Communication Engineering, The University of Tokyo, Japan
Education
- Ph.D., (Apr. 2016 - Mar. 2019)
- Department of Information and Communication Engineering,
Graduate School of Information Science and Technology,
The University of Tokyo.
Advisor: Prof. Toshihiko Yamasaki - M.S., (Apr. 2014 - Mar. 2016)
- Department of Information and Communication Engineering,
Graduate School of Information Science and Technology,
The University of Tokyo.
Advisor: Prof. Toshihiko Yamasaki - B.E., (Apr. 2010 - Mar. 2014)
- Department of Information and Communication Engineering,
The University of Tokyo.
Advisor: Prof. Kiyoharu Aizawa and Prof. Toshihiko Yamasaki
Publications
Journals
- Ryosuke Furuta, Naoto Inoue, and Toshihiko Yamasaki
PixelRL: Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing
IEEE TMM, 2020. (IEEE SPS Japan Young Author Best Paper Award) [arXiv] [IEEE Xplore] [project page] [code]
- Ryosuke Furuta, Naoto Inoue, and Toshihiko Yamasaki
Efficient and Interactive Spatial-Semantic Image Retrieval
MTAP, 2019. [pdf (open access)]
- Ryosuke Furuta, Satoshi Ikehata, Toshihiko Yamasaki, and Kiyoharu Aizawa
Efficiency-Enhanced Cost-Volume Filtering featuring Coarse-to-Fine Strategy
MTAP, 2018. [pdf (open access)] [code]
- Ryosuke Furuta, Ikuko Tsubaki, and Toshihiko Yamasaki
Fast Volume Seam Carving with Multi-pass Dynamic Programming
IEEE TCSVT, 2018. (Telecom System Technology Award 2018) [pdf (open access)] [video] [supplementary]
International conferences
- Ken Kariya, Go Irie, Ryosuke Furuta, Yota Yamamoto, Shin Aoki, and Yukinobu Taniguchi
Point Cloud Based Deep Molecular Pose Estimation for Structure-Based Virtual Screening
IW-FCV, 2023. (Best Paper Award)
- Xinyun Li, Ryosuke Furuta, Go Irie, Yota Yamamoto, and Yukinobu Taniguchi
Interactive Indoor Localization Based on Image Retrieval and Question Response
VISAPP, 2023.
- Zecheng Yu, Yifei Huang, Ryosuke Furuta, Takuma Yagi, Yusuke Gotsu, and Yoichi Sato
Fine-grained Affordance Annotation for Egocentric Hand-Object Interaction Videos
WACV, 2023.
- Takehiko Ohkawa, Yu-Jhe Li, Qichen Fu, Ryosuke Furuta, Kris Kitani, and Yoichi Sato
Domain Adaptive Hand Keypoint and Pixel Localization in the Wild
ECCV, 2022.
- Koya Tango, Takehiko Ohkawa, Ryosuke Furuta, and Yoichi Sato
Background Mixup Data Augmentation for Hand and Object-in-Contact Detection
HANDS 2022 at CVPR 2022.
- Zecheng Yu, Yifei Huang, Ryosuke Furuta, Takuma Yagi, Yusuke Gotsu, and Yoichi Sato
Precise Affordance Annotation for Egocentric Action Video Datasets
EPIC 2022 at CVPR 2022.
- Delong Ouyang, Ryosuke Furuta, Yugo Shimizu, Yukinobu Taniguchi, Ryota Hinami, and Shonosuke Ishiwatari
Interactive Manga Colorization with Fast Flat Coloring
SIGGRAPH ASIA Posters, 2021.
- Xinyun Li, Ryosuke Furuta, Go Irie, and Yukinobu Taniguchi
Accurate Indoor Localization using Multi-view Image Distance
IEVC, 2021. (Best Student Paper Award)
- Risako Ii, Ryosuke Furuta, and Yukinobu Taniguchi
Distortion Correction and Stitching of Overlapping Cattle Barn Images
IEVC, 2021.
- Yugo Shimizu, Ryosuke Furuta, Delong Ouyang, Yukinobu Taniguchi, Ryota Hinami, and Shonosuke Ishiwatari
Painting Style-Aware Manga Colorization Based on Generative Adversarial Networks
IEEE ICIP, 2021. [arXiv]
- Shunta Komatsu, Ryosuke Furuta, and Yukinobu Taniguchi
Passenger Flow Estimation with Bipartite Matching on Bus Surveillance Cameras
IEEE MIPR, 2021.
- Masaki Sugimoto, Ryosuke Furuta, and Yukinobu Taniguchi
Weakly-Supervised Human-Object Interaction Detection
VISAPP, 2021.
- Ryosuke Furuta, Naoaki Noguchi, Xueting Wang, and Toshihiko Yamasaki
Feature Point Matching in Cross-Spectral Images with Cycle Consistency Learning
ICPR, 2020.
- Ryosuke Furuta, Naoto Inoue, and Toshihiko Yamasaki
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing
AAAI, 2019. (acceptance rate 16.2%) [arXiv] [proceedings] [project page] [code]
- Naoto Inoue, Ryosuke Furuta, Toshihiko Yamasaki, and Kiyoharu Aizawa
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation
IEEE CVPR, 2018. (acceptance rate 29.1%) [pdf] [project page] [code]
- Ryosuke Furuta, Naoto Inoue, and Toshihiko Yamasaki
Efficient and Interactive Spatial-Semantic Image Retrieval
MMM, 2018. [pdf]
- Sijie Shen, Ryosuke Furuta, Toshihiko Yamasaki and Kiyoharu Aizawa
Fooling Neural Networks in Face Attractiveness Evaluation: Adversarial Examples with High Attractiveness Score but Low Subjective Score
IEEE BigMM (short paper), 2017.
- Naoto Inoue, Ryosuke Furuta, Toshihiko Yamasaki and Kiyoharu Aizawa
Object Detection Refinement Using Markov Random Field Based Pruning and Learning Based Rescoring
IEEE ICASSP, 2017. [pdf]
- Ryosuke Furuta, Ikuko Tsubaki, and Toshihiko Yamasaki
Fast Volume Seam Carving with Multi-pass Dynamic Programming
IEEE ICIP, 2016. [pdf] [video]
- Ryosuke Furuta, Yusuke Fukushima, Toshihiko Yamasaki, and Kiyoharu Aizawa
Multi-Label Classification using Class Relations Based on Higher-Order MRF Optimization
IEEE CVPRW (BigVision), 2016. [pdf]
- Toshihiko Yamasaki, Yusuke Fukushima, Ryosuke Furuta, and Kiyoharu Aizawa
Towards Online Prediction of Oral Presentation
IEEE BigMM-ACM, 2016.
- Toshihiko Yamasaki, Yusuke Fukushima, Ryosuke Furuta, Litian Sun, Kiyoharu Aizawa, and Danushka Bollegala
Prediction of User Ratings of Oral Presentations using Label Relations
ACMMM-ASM, 2015.
- Ryosuke Furuta, Satoshi Ikehata, Toshihiko Yamasaki, and Kiyoharu Aizawa
Coarse-to-Fine Strategy for Efficient Cost-Volume Filtering
IEEE ICIP, 2014. (Top 10% Paper Award and IEEE SPS Japan Student Paper Award) [pdf]
Domestic conferences
- 74 papers
Awards
- Best Paper Award in The International Workshop on Frontiers of Computer Vision (IW-FCV) 2023. (co-author)
- Outstanding Presentation Award in Expressive Japan 2022. (three papers, co-author)
- Best Student Paper Award in IIEEJ International Conference on Image Electronics and Visual Computing (IEVC) 2021. (co-author)
- IIEEJ Research Encouragement Award, 2020. (co-author)
- IEEE Signal Processing Society (SPS) Japan Young Author Best Paper Award, 2020.
- IE Special Award, Technical Committee on Image Engineering, Institute of Electronics, Information and Communication Engineers, 2018.
- IE Award, Technical Committee on Image Engineering, Institute of Electronics, Information and Communication Engineers, 2018.
- Telecom System Technology Award, The Telecommunications Advancement Foundation, 2018.
- IE Award, Technical Committee on Image Engineering, Institute of Electronics, Information and Communication Engineers, 2015.
- IMPS Best and Frontier Paper Award, 2015. (co-author)
- IEEE Signal Processing Society (SPS) Japan Student Conference Paper Award, 2015.
- Harashima Hiroshi Science Award, Association for Promotion of Electrical, Electronic and Information Engineering, 2015.
- Top 10% Paper Award in IEEE International Conference on Image Processing (ICIP) 2014.
- ITE Outstanding Student Release Award, The Institute of Image Information and Television Engineers, 2013.
- ITE Suzuki Memorial Young Researcher's Award, The Institute of Image Information and Television Engineers, 2013.
Invited Talks
- Fast Image Processing with Multi-pass Dynamic Programming
Image Processing Tokyo, Tokyo Institute of Technology, Jan. 2017.
Funding sources
- Grant-in-Aid for Early-Career Scientists, Japan Society for the Promotion of Science (JSPS). (FY2023 - FY2025)
- Research grant, Kayamori Foundation of Informational Science Advancement. (FY2022 - FY2024)
- Grant-in-Aid for Early-Career Scientists, Japan Society for the Promotion of Science (JSPS). (FY2021 - FY2022)
- Grant-in-Aid for Research activity start-up, Japan Society for the Promotion of Science (JSPS). (FY2019 - FY2020)
- Research fellowship for young scientists (DC1), Japan Society for the Promotion of Science (JSPS). (FY2016 - FY2018)
- ITE Financial Support to International Conference Student Release, The Institute of Image Information and Television Engineers, 2014.
Links
- Sato Laboratory/Sugano Laboratory
- Institute of Industrial Science, The University of Tokyo
- Taniguchi Laboratory
- Tokyo University of Science
- Yamasaki Laboratory
- Graduate School of Information Science and Technology
- The University of Tokyo