Ryo Yonetani

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 58

Top Topics

Homomorphic Encryption

Robot Navigation

Top Venues

IEEE Robotics Autom. Lett.

Publications

Ryo Yonetani, Jun Baba, Yasutaka Furukawa
RetailOpt: An Opt-In, Easy-to-Deploy Trajectory Estimation System Leveraging Smartphone Motion Data and Retail Facility Information. CoRR (2024)
Akira Kasuga, Ryo Yonetani
CXSimulator: A User Behavior Simulation using LLM Embeddings for Web-Marketing Campaign Assessment. CoRR (2024)
Ryo Yonetani
TSPDiffuser: Diffusion Models as Learned Samplers for Traveling Salesperson Path Planning Problems. CoRR (2024)
Kohei Honda, Ryo Yonetani, Mai Nishimura, Tadashi Kozuno
When to Replan? An Adaptive Replanning Strategy for Autonomous Navigation using Deep Reinforcement Learning. ICRA (2024)
Kazumi Kasaura, Ryo Yonetani, Mai Nishimura
Periodic Multi-Agent Path Planning. AAAI (2023)
Kazumi Kasaura, Shuwa Miura, Tadashi Kozuno, Ryo Yonetani, Kenta Hoshino, Yohei Hosoe
Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control With Action Constraints. IEEE Robotics Autom. Lett. 8 (8) (2023)
Kazumi Kasaura, Ryo Yonetani, Mai Nishimura
Periodic Multi-Agent Path Planning. CoRR (2023)
Masafumi Endo, Tatsunori Taniai, Ryo Yonetani, Genya Ishigami
Risk-aware Path Planning via Probabilistic Fusion of Traversability Prediction for Planetary Rovers on Heterogeneous Terrains. CoRR (2023)
Yasuhiro Nitta, Mariko Isogawa, Ryo Yonetani, Maki Sugimoto
Importance Rank-Learning of Objects in Urban Scenes for Assisting Visually Impaired People. IEEE Access 11 (2023)
Hikaru Asano, Ryo Yonetani, Mai Nishimura, Tadashi Kozuno
Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation. CoRR (2023)
Kazumi Kasaura, Shuwa Miura, Tadashi Kozuno, Ryo Yonetani, Kenta Hoshino, Yohei Hosoe
Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints. CoRR (2023)
Masafumi Endo, Tatsunori Taniai, Ryo Yonetani, Genya Ishigami
Risk-aware Path Planning via Probabilistic Fusion of Traversability Prediction for Planetary Rovers on Heterogeneous Terrains. ICRA (2023)
Hikaru Asano, Ryo Yonetani, Mai Nishimura, Tadashi Kozuno
Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation. AAMAS (2023)
Kohei Honda, Ryo Yonetani, Mai Nishimura, Tadashi Kozuno
When to Replan? An Adaptive Replanning Strategy for Autonomous Navigation using Deep Reinforcement Learning. CoRR (2023)
Keisuke Okumura, Ryo Yonetani, Mai Nishimura, Asako Kanezaki
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces. CoRR (2022)
Kazumi Kasaura, Mai Nishimura, Ryo Yonetani
Prioritized Safe Interval Path Planning for Multi-Agent Pathfinding With Continuous Time on 2D Roadmaps. IEEE Robotics Autom. Lett. 7 (4) (2022)
Keisuke Okumura, Ryo Yonetani, Mai Nishimura, Asako Kanezaki
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces. AAMAS (2022)
Kazutoshi Tanaka, Ryo Yonetani, Masashi Hamaya, Robert Lee, Felix von Drigalski, Yoshihisa Ijiri
TRANS-AM: Transfer Learning by Aggregating Dynamics Models for Soft Robotic Assembly. ICRA (2021)
Ryo Yonetani, Tatsunori Taniai, Mohammadamin Barekatain, Mai Nishimura, Asako Kanezaki
Path Planning using Neural A* Search. ICML (2021)
Kazutoshi Tanaka, Masashi Hamaya, Devwrat Joshi, Felix von Drigalski, Ryo Yonetani, Takamitsu Matsubara, Yoshihisa Ijiri
Learning Robotic Contact Juggling. IROS (2021)
Hiroaki Minoura, Ryo Yonetani, Mai Nishimura, Yoshitaka Ushiku
Crowd Density Forecasting by Modeling Patch-Based Dynamics. IEEE Robotics Autom. Lett. 6 (1) (2021)
Toshinori Kitamura, Ryo Yonetani
ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives. CoRR (2021)
Felix von Drigalski, Kennosuke Hayashi, Yifei Huang, Ryo Yonetani, Masashi Hamaya, Kazutoshi Tanaka, Yoshihisa Ijiri
Precise Multi-Modal In-Hand Pose Estimation using Low-Precision Sensors for Robotic Assembly. ICRA (2021)
Mai Nishimura, Ryo Yonetani
L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot Navigation. CoRR (2020)
Navyata Sanghvi, Ryo Yonetani, Kris Kitani
MGpi: A Computational Model of Multiagent Group Perception and Interaction. AAMAS (2020)
Mohammadamin Barekatain, Ryo Yonetani, Masashi Hamaya
MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics. IJCAI (2020)
Jiaxin Ma, Ryo Yonetani, Zahid Iqbal
Adaptive Distillation for Decentralized Learning from Heterogeneous Clients. CoRR (2020)
Jiaxin Ma, Ryo Yonetani, Zahid Iqbal
Adaptive Distillation for Decentralized Learning from Heterogeneous Clients. ICPR (2020)
Rie Kamikubo, Naoya Kato, Keita Higuchi, Ryo Yonetani, Yoichi Sato
Support Strategies for Remote Guides in Assisting People with Visual Impairments for Effective Indoor Navigation. CHI (2020)
Ryo Yonetani, Tatsunori Taniai, Mohammadamin Barekatain, Mai Nishimura, Asako Kanezaki
Path Planning using Neural A* Search. CoRR (2020)
Mai Nishimura, Ryo Yonetani
L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot Navigation. IROS (2020)
Naoya Yoshida, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto, Ryo Yonetani
Hybrid-FL for Wireless Networks: Cooperative Learning Mechanism Using Non-IID Data. ICC (2020)
Mohammadamin Barekatain, Ryo Yonetani, Masashi Hamaya
MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics. CoRR (2019)
Ryo Yonetani, Tomohiro Takahashi, Atsushi Hashimoto, Yoshitaka Ushiku
Decentralized Learning of Generative Adversarial Networks from Multi-Client Non-iid Data. CoRR (2019)
Hiroaki Minoura, Ryo Yonetani, Mai Nishimura, Yoshitaka Ushiku
Crowd Density Forecasting by Modeling Patch-based Dynamics. CoRR (2019)
Naoya Yoshida, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto, Ryo Yonetani
Hybrid-FL: Cooperative Learning Mechanism Using Non-IID Data in Wireless Networks. CoRR (2019)
Nathawan Charoenkulvanich, Rie Kamikubo, Ryo Yonetani, Yoichi Sato
Assisting group activity analysis through hand detection and identification in multiple egocentric videos. IUI (2019)
Navyata Sanghvi, Ryo Yonetani, Kris M. Kitani
Modeling Social Group Communication with Multi-Agent Imitation Learning. CoRR (2019)
Takayuki Nishio, Ryo Yonetani
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge. ICC (2019)
Seita Kayukawa, Keita Higuchi, Ryo Yonetani, Masanori Nakamura, Yoichi Sato, Shigeo Morishima
Dynamic Object Scanning: Object-Based Elastic Timeline for Quickly Browsing First-Person Videos. CHI Extended Abstracts (2018)
Yuki Sugita, Keita Higuchi, Ryo Yonetani, Rie Kamikubo, Yoichi Sato
Browsing Group First-Person Videos with 3D Visualization. ISS (2018)
Takayuki Nishio, Ryo Yonetani
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge. CoRR (2018)
Rie Kamikubo, Keita Higuchi, Ryo Yonetani, Hideki Koike, Yoichi Sato
Exploring the Role of Tunnel Vision Simulation in the Design Cycle of Accessible Interfaces. W4A (2018)
Seita Kayukawa, Keita Higuchi, Ryo Yonetani, Masanori Nakamura, Yoichi Sato, Shigeo Morishima
Dynamic Object Scanning: Object-Based Elastic Timeline for Quickly Browsing First-Person Videos. CHI Extended Abstracts (2018)
Ryo Yonetani, Kris M. Kitani, Yoichi Sato
Ego-Surfing: Person Localization in First-Person Videos Using Ego-Motion Signatures. IEEE Trans. Pattern Anal. Mach. Intell. 40 (11) (2018)
Takuma Yagi, Karttikeya Mangalam, Ryo Yonetani, Yoichi Sato
Future Person Localization in First-Person Videos. CVPR (2018)
Keita Higuchi, Ryo Yonetani, Yoichi Sato
EgoScanning: Quickly Scanning First-Person Videos with Egocentric Elastic Timelines. CHI (2017)
Ryo Yonetani, Vishnu Naresh Boddeti, Kris M. Kitani, Yoichi Sato
Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption. ICCV (2017)
Rie Kamikubo, Keita Higuchi, Ryo Yonetani, Hideki Koike, Yoichi Sato
Rapid Prototyping of Accessible Interfaces With Gaze-Contingent Tunnel Vision Simulation. ASSETS (2017)
Takuma Yagi, Karttikeya Mangalam, Ryo Yonetani, Yoichi Sato
Future Person Localization in First-Person Videos. CoRR (2017)
Keita Higuchi, Ryo Yonetani, Yoichi Sato
Egoscanning: quickly scanning first-person videos with egocentric elastic timelines. SIGGRAPH ASIA Emerging Technologies (2017)
Ryo Yonetani, Vishnu Naresh Boddeti, Kris M. Kitani, Yoichi Sato
Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption. CoRR (2017)
Yifei Huang, Minjie Cai, Hiroshi Kera, Ryo Yonetani, Keita Higuchi, Yoichi Sato
Temporal Localization and Spatial Segmentation of Joint Attention in Multiple First-Person Videos. ICCV Workshops (2017)
Hiroshi Kera, Ryo Yonetani, Keita Higuchi, Yoichi Sato
Discovering Objects of Joint Attention via First-Person Sensing. CVPR Workshops (2016)
Keita Higuchi, Ryo Yonetani, Yoichi Sato
Can Eye Help You?: Effects of Visualizing Eye Fixations on Remote Collaboration Scenarios for Physical Tasks. CHI (2016)
Ryo Yonetani, Kris Makoto Kitani, Yoichi Sato
Visual Motif Discovery via First-Person Vision. ECCV (2) (2016)
Ryo Yonetani, Kris Makoto Kitani, Yoichi Sato
Ego-Surfing First-Person Videos. CoRR (2016)
Ryo Yonetani, Kris M. Kitani, Yoichi Sato
Recognizing Micro-Actions and Reactions from Paired Egocentric Videos. CVPR (2016)
Ryo Yonetani, Kris Makoto Kitani, Yoichi Sato
Ego-surfing first person videos. CVPR (2015)
Ryo Yonetani, Hiroaki Kawashima, Takashi Matsuyama
Predicting where we look from spatiotemporal gaps. ICMI (2013)
Akisato Kimura, Ryo Yonetani, Takatsugu Hirayama
Computational Models of Human Visual Attention and Their Implementations: A Survey. IEICE Trans. Inf. Syst. (3) (2013)
Ryo Yonetani, Hiroaki Kawashima, Takashi Matsuyama
Learning Spatiotemporal Gaps between Where We Look and What We Focus on. IPSJ Trans. Comput. Vis. Appl. 5 (2013)
Ryo Yonetani, Hiroaki Kawashima, Takashi Matsuyama
Learning Spatiotemporal Gaps between Where We Look and What We Focus on. Inf. Media Technol. 8 (4) (2013)
Kei Shimonishi, Hiroaki Kawashima, Ryo Yonetani, Erina Ishikawa, Takashi Matsuyama
Learning aspects of interest from Gaze. GazeIn@ICMI (2013)
Ryo Yonetani, Hiroaki Kawashima, Takashi Matsuyama
Multi-mode saliency dynamics model for analyzing gaze and attention. ETRA (2012)
Erina Ishikawa, Ryo Yonetani, Hiroaki Kawashima, Takatsugu Hirayama, Takashi Matsuyama
Semantic interpretation of eye movements using designed structures of displayed contents. GazeIn@ICMI (2012)
Ryo Yonetani, Hiroaki Kawashima, Takatsugu Hirayama, Takashi Matsuyama
Mental Focus Analysis Using the Spatio-temporal Correlation between Visual Saliency and Eye Movements. Inf. Media Technol. 7 (1) (2012)
Ryo Yonetani, Akisato Kimura, Hitoshi Sakano, Ken Fukuchi
Single Image Segmentation with Estimated Depth. BMVC (2012)
Ryo Yonetani, Hiroaki Kawashima, Takatsugu Hirayama, Takashi Matsuyama
Mental Focus Analysis Using the Spatio-temporal Correlation between Visual Saliency and Eye Movements. J. Inf. Process. 20 (1) (2012)
Ryo Yonetani
Modeling video viewing behaviors for viewer state estimation. ACM Multimedia (2012)
Ryo Yonetani, Hiroaki Kawashima, Takatsugu Hirayama, Takashi Matsuyama
Gaze Probing: Event-Based Estimation of Objects Being Focused On. ICPR (2010)