Ryosuke Furuta
- Researcher (Oct. 2025 - present)
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Mantra Inc.,
E-mail: furuta (at) mantra.co.jp
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- Cooperative Research Fellow (Oct. 2025 - present)
Y. Sato Laboratory, Institute of Industrial Science, The University of Tokyo, Japan
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- Visiting Researcher (Nov. 2020 - present)
Taniguchi Laboratory, Department of Information and Computer Technology, Tokyo University of Science, Japan
Research Interests
Optimization and Machine Learning for Computer Vision and Image Processing.
Work Experience
- Researcher Associate (Oct. 2020 - Sep. 2025)
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Y. Sato Laboratory, Institute of Industrial Science, The University of Tokyo, Japan
- Assistant Professor (Apr. 2019 - Sep. 2020)
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Taniguchi Laboratory,
Department of Information and Computer Technology, Tokyo University of Science, Japan
- Visiting Researcher (May 2019 - Sep. 2020)
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Yamasaki Laboratory,
Department of Information and Communication Engineering, The University of Tokyo, Japan
Education
- Ph.D., (Apr. 2016 - Mar. 2019)
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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)
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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)
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Department of Information and Communication Engineering,
The University of Tokyo.
Advisor: Prof. Kiyoharu Aizawa and Prof. Toshihiko Yamasaki
Publications
Preprint
- Ryosuke Furuta and Yoichi Sato
Seeking Flat Minima with Mean Teacher on Semi- and Weakly-Supervised Domain Generalization for Object Detection
arXiv, 2024. [arXiv]
Journal
- Tomoyuki Hatakeyama, Ryosuke Furuta, and Yoichi Sato
Simultaneous Control of Head Pose and Expressions in 3D Facial Keypoint-Based GAN
MTAP, 2024.
- Takehiko Ohkawa, Ryosuke Furuta, and Yoichi Sato
Efficient Annotation and Learning for 3D Hand Pose Estimation: A Survey
International Journal of Computer Vision (IJCV), 2023. [arXiv] [Springer Link]
- 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 conference
- Yuki Sakai*, Ryosuke Furuta*, Juichun Yen, and Yoichi Sato (*co-first authors)
EgoInstruct: An Egocentric Video Dataset of Face-to-face Instructional Interactions with Multi-modal LLM Benchmarking
I-HFM workshop at ICCV 2025. [arXiv]
- Takehiko Ohkawa, Jihyun Lee, Shunsuke Saito, Jason Saragih, Fabian Prada, Yichen Xu, Shoou-I Yu, Ryosuke Furuta, Yoichi Sato, and Takaaki Shiratori
Generative Modeling of Shape-Dependent Self-Contact Human Poses
ICCV, 2025.
- Liangyang Ouyang, Yuki Sakai, Ryosuke Furuta, Hisataka Nozawa, Hikoro Matsui, and Yoichi Sato
Leadership Assessment in Pediatric Intensive Care Unit Team Training
EgoVis Workshop at CVPR 2025.
- Nie Lin, Takehiko Ohkawa, Mingfang Zhang, Yifei Huang, Minjie Cai, Ming Li, Ryosuke Furuta, and Yoichi Sato
SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training
ICLR, 2025.
- Ryoga Takahashi, Yota Yamamoto, Ryosuke Furuta, and Yukinobu Taniguchi
Detection of Door-Closing Defects by Learning from Physics-Based Simulations
VISAPP, 2025.
- Takehiko Ohkawa, Takuma Yagi, Taichi Nishimura, Ryosuke Furuta, Atsushi Hashimoto, Yoshitaka Ushiku, and Yoichi Sato
Exo2EgoDVC: Dense Video Captioning of Egocentric Procedural Activities Using Web Instructional Videos
WACV, 2025.
- Masatoshi Tateno, Takuma Yagi, Ryosuke Furuta, and Yoichi Sato
Learning Multiple Object States from Actions via Large Language Models
WACV, 2025.
- Takara Taniguchi, and Ryosuke Furuta
Learning Gaussian Data Augmentation in Feature Space for One-shot Object Detection in Manga
ACM Multimedia Asia, 2024.
- Liangyang Ouyang, Ruicong Liu, Yifei Huang, Ryosuke Furuta, and Yoichi Sato
ActionVOS: Action as Prompts for Video Object Segmentation
ECCV, 2024.
- Takehiko Ohkawa, Takuma Yagi, Taichi Nishimura, Ryosuke Furuta, Atsushi Hashimoto, Yoshitaka Ushiku, and Yoichi Sato
Dense Video Captioning of Egocentric Procedural Activities Using Web Instructional Videos
LPVL 2024 at CVPR 2024.
- Masatoshi Tateno, Takuma Yagi, Ryosuke Furuta, and Yoichi Sato
Learning Object States from Actions via Large Language Models
LPVL 2024 at CVPR 2024.
- Kristen Grauman, Andrew Westbury, Lorenzo Torresani, ... , Ryosuke Furuta, ... , and Michael Wray
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
CVPR, 2024.
- Ryoga Takahashi, Yota Yamamoto, Ryosuke Furuta, and Yukinobu Taniguchi
Detection of Door Closing Defects by Analyzing Video from a High-speed Camera
IW-FCV, short paper, 2024. (Best Poster Award)
- Yuan Yin, Yifei Huang, Ryosuke Furuta, and Yoichi Sato
Proposal-based Temporal Action Localization with Point-level Supervision
BMVC, 2023.
- Takuma Yagi, Misaki Ohashi, Yifei Huang, Ryosuke Furuta, Shungo Adachi, Toutai Mitsuyama, and Yoichi Sato
FineBio: A Fine-Grained Video Dataset of Biological Experiments with Hierarchical Annotations
EPIC 2023 at CVPR 2023.
- 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
Awards
- MIRU Paper Evaluation Contribution Award in The Meeting on Image Recognition and Understanding (MIRU) 2024.
- MIRU Audience Award in The Meeting on Image Recognition and Understanding (MIRU) 2024.
- Best Poster Award in The International Workshop on Frontiers of Computer Vision (IW-FCV) 2024. (co-author)
- 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.
Domestic conferences
Awards
- Outstanding Reviewer, CVPR2025
- MIRU Paper Evaluation Contribution Award in The Meeting on Image Recognition and Understanding (MIRU) 2024.
- MIRU Audience Award in The Meeting on Image Recognition and Understanding (MIRU) 2024.
- Best Poster Award in The International Workshop on Frontiers of Computer Vision (IW-FCV) 2024. (co-author)
- 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.
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.