Akisato Kimura, Ryo Yonetani, Takatsugu Hirayama: “Computational Models of Human Visual Attention and Their Implementations: A Survey”, IEICE Transactions on Information and Systems, E96-D(3), pp.562-578, 2013
Ryo Yonetani, Hiroaki Kawashima, Takashi Matsuyama: Learning Spatiotemporal Gaps between Where We Look and What We Focus on", IPSJ Transactions on Computer Vision and Applications, 5, pp. 75-79, 2013
Jiaxin Ma, Ryo Yonetani, Zahid Iqbal, “Adaptive Distillation for Decentralized Learning from Heterogeneous Clients”, International Conference on Pattern Recognition (ICPR), 2020 [arXiv]
Mai Nishimura, Ryo Yonetani, “L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot Navigation”, accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, [arXiv]
Mohammadamin Barekatain, Ryo Yonetani, Masashi Hamaya, “MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics”, International Joint Conference on Artificial Intelligence (IJCAI), 2020 [arXiv]
Rie Kamikubo, Naoya Kato, Keita Higuchi, Ryo Yonetani, Yoichi Sato, “Studying Effective Agents in Remote Sighted Guidance for People Navigating with Visual Impairments”, ACM Conference on Human Factors in Computing Systems (CHI), 2020
Navyata Sanghvi, Ryo Yonetani, Kris Kitani, “Modeling Social Group Communication with Multi-Agent Imitation Learning”, International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2020 [arXiv]
Naoya Yoshida, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto, Ryo Yonetani, “Hybrid-FL for Wireless Networks: Cooperative Learning Mechanism Using Non-IID Data”, IEEE International Conference on Communications (ICC), 2020 [arXiv]
Takayuki Nishio and Ryo Yonetani: “Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge”, IEEE International Conference on Communications (ICC), 2019 [project]
Nathawan Charoenkulvanich, Rie Kamikubo, Ryo Yonetani, and Yoichi Sato, “Assisting Group Activity Analysis through Hand Detection and Identification in Multiple Egocentric Videos”, ACM Conference on Intelligent User Interface (IUI), 2019.
Yuki Sugita, Keita Higuchi, Ryo Yonetani, Rie Kamikubo, Yoichi Sato: “Browsing Group First-Person Videos with 3D Visualization”, accepted to ACM International Conference on Interactive Surfaces and Spaces (ISS), 2018
Takuma Yagi, Karttikeya Mangalam, Ryo Yonetani, Yoichi Sato: “Future Person Localization in First-Person Videos”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR, spotlight presentation), 2018 [project]
Rie Kamikubo, Keita Higuchi, Ryo Yonetani, Hideki Koike, Yoichi Sato, “Exploring the Role of Tunnel Vision Simulation in the Design Cycle of Accessible Interfaces”, International Cross-Disciplinary Conference on Web Accessibility (Web4All), 2018
Ryo Yonetani, Vishnu Naresh Boddeti, Kris M. Kitani, Yoichi Sato: “Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption”, International Conference on Computer Vision (ICCV), 2017 [project]
Keita Higuchi, Ryo Yonetani, Yoichi Sato: “EgoScanning: Quickly Scanning First-Person Videos with Egocentric Elastic Timelines”, ACM Conference on Human Factors in Computing Systems (CHI), 2017 [project]
Ryo Yonetani, Kris Kitani, Yoichi Sato: “Visual Motif Discovery via First-Person Vision”, European Conference on Computer Vision (ECCV), 2016 [project]
Ryo Yonetani, Kris Kitani, Yoichi Sato: “Recognizing Micro-Actions and Reactions from Paired Egocentric Videos”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 [project]
Keita Higuchi, Ryo Yonetani, Yoichi Sato: “Can Eye Help You?: Effects of Visualizing Eye Fixations on Remote Collaboration Scenarios for Physical Tasks”, ACM Conference on Human Factors in Computing Systems (CHI), 2016 [project]
Ryo Yonetani, Kris Kitani, Yoichi Sato: “Ego-Surfing First-Person Videos”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 [project]
Ryo Yonetani, Hiroaki Kawashima, Takashi Matsuyama: “Predicting Where We Look from Spatiotemporal Gaps”, International Conference on Multimodal Interaction (ICMI), 2013 [project]
Ryo Yonetani, Akisato Kimura, Hitoshi Sakano, Ken Fukuchi: “Single Image Segmentation with Estimated Depth”, British Machine Vision Conference (BMVC), 2012
Ryo Yonetani, Hiroaki Kawashima, Takashi Matsuyama: “Multi-mode Saliency Dynamics Model for Analyzing Gaze and Attention”, Eye Tracking Research & Applications (ETRA), 2012 [project]
Ryo Yonetani, Hiroaki Kawashima, Takatsugu Hirayama, Takashi Matsuyama: “Gaze Probing: Event-Based Estimation of Objects Being Focused On”, International Conference on Pattern Recognition (ICPR, IBM Best Student Paper Award), 2010
国際ワークショップ論文,Extended Abstracts, プレプリントなど
Ryo Yonetani, Tatsunori Taniai, Mohammadamin Barekatain, Mai Nishimura, Asako Kanezaki, “Path Planning using Neural A* Search”, arXiv preprint, 2020 [arXiv]
Navyata Sanghvi, Ryo Yonetani, Kris Kitani, “Learning Group Communication from Demonstration”, RSS Workshop on Models and Representations for Natural Human-Robot Communication, 2018
Seita Kayukawa, Keita Higuchi, Ryo Yonetani, Maanori Nakamura, Yoichi Sato, Shigeo Morishima: “Dynamic Object Scanning: Object-Based Elastic Timeline for Quickly Browsing First-Person Videos”, ACM Conference on Human Factors in Computing Systems Late Breaking Work (CHI-LBW), 2018
Yifei Huang, Minjie Cai, Hiroshi Kera, Ryo Yonetani, Keita Higuchi, Yoichi Sato: “Temporal Localization and Spatial Segmentation of Joint Attention in Multiple First-Person Video”, International Workshop on Egocentric Perception, Interaction, and Computing (EPIC), 2017
Rie Kamikubo, Keita Higuchi, Ryo Yonetani, Hideki Koike, Yoichi Sato: “Rapid Prototyping of Accessible Interfaces with Gaze- Contiguent Tunnel Vision Simulation”, ACM SIGACCESS International Conference on Computers and Accessibility (ASSETS), 2017
Ryo Yonetani, Vishnu Naresh Boddeti, Kris Kitani, Yoichi Sato: “Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption”, International Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS), 2017
Hiroshi Kera, Ryo Yonetani, Keita Higuchi, Yoichi Sato: “Discovering Objects of Joint Attention via First-Person Sensing”, IEEE CVPR Workshop on Egocentric (First-Person) Vision (EGOV), 2016
Kei Shimonishi, Hiroaki Kawashima, Ryo Yonetani, Erina Ishikawa, Takashi Matsuyama: “Learning Aspects of Interest from Gaze”, ICMI Workshop on Eye Gaze in Intelligent Human Machine Interaction: Gaze in Multimodal Interaction (GazeIn), 2013
Ryo Yonetani: “Modeling Video Viewing Behaviors for Viewer State Estimation”, ACM Multimedia Doctoral Symposium (ACMMM-DS), 2012
Erina Ishikawa, Ryo Yonetani, Hiroaki Kawashima, Takatsugu Hirayama, Takashi Matsuyama: “Semantic Interpretation of Eye Movements Using Designed Structures of Displayed Contents”, ICMI Workshop on Eye Gaze in Intelligent Human Machine Interaction: Eye Gaze, Multimodality (GazeIn), 2012
Ryo Yonetani, Hiroaki Kawashima, and Takashi Matsuyama: Modeling Spatiotemporal Correlations between Video Saliency and Gaze Dynamics”, 研究報告コンピュータビジョンとイメージメディア, 2014-CVIM-192(32), pp. 1-16, 2014
Ryo Yonetani, Hiroaki Kawashima, Takashi Matsuyama: “Learning Spatiotemporal Gaps between Where We Look and What We Focus on”, 第16回 画像の認識理解シンポジウム, 2013