Gaze Probing: Event-Based Estimation of Objects Being Focused On. - Ryo Yonetani; Hiroaki Kawashima; Takatsugu Hirayama; Takashi Matsuyama (ICPR, 2010)

Single Image Segmentation with Estimated Depth. - Ryo Yonetani; Akisato Kimura; Hitoshi Sakano; Ken Fukuchi (BMVC, 2012)

Multi-mode saliency dynamics model for analyzing gaze and attention. - Ryo Yonetani; Hiroaki Kawashima; Takashi Matsuyama (ETRA, 2012)

Semantic interpretation of eye movements using designed structures of displayed contents. - Erina Ishikawa; Ryo Yonetani; Hiroaki Kawashima; Takatsugu Hirayama; Takashi Matsuyama (GazeIn@ICMI, 2012)

Modeling video viewing behaviors for viewer state estimation. - Ryo Yonetani (ACM Multimedia, 2012)

Mental Focus Analysis Using the Spatio-temporal Correlation between Visual Saliency and Eye Movements. - Ryo Yonetani; Hiroaki Kawashima; Takatsugu Hirayama; Takashi Matsuyama (Inf. Media Technol., 2012)

Learning aspects of interest from Gaze. - Kei Shimonishi; Hiroaki Kawashima; Ryo Yonetani; Erina Ishikawa; Takashi Matsuyama (GazeIn@ICMI, 2013)

Predicting where we look from spatiotemporal gaps. - Ryo Yonetani; Hiroaki Kawashima; Takashi Matsuyama (ICMI, 2013)

Computational Models of Human Visual Attention and Their Implementations: A Survey. - Akisato Kimura; Ryo Yonetani; Takatsugu Hirayama (IEICE Trans. Inf. Syst., 2013)

Learning Spatiotemporal Gaps between Where We Look and What We Focus on. - Ryo Yonetani; Hiroaki Kawashima; Takashi Matsuyama (Inf. Media Technol., 2013)

Modeling Spatiotemporal Correlations between Video Saliency and Gaze Dynamics. - Ryo Yonetani (2013)

Ego-surfing first person videos. - Ryo Yonetani; Kris Makoto Kitani; Yoichi Sato 001 (CVPR, 2015)

Can Eye Help You?: Effects of Visualizing Eye Fixations on Remote Collaboration Scenarios for Physical Tasks. - Keita Higuchi; Ryo Yonetani; Yoichi Sato 001 (CHI, 2016)

Discovering Objects of Joint Attention via First-Person Sensing. - Hiroshi Kera; Ryo Yonetani; Keita Higuchi; Yoichi Sato 001 (CVPR Workshops, 2016)

Recognizing Micro-Actions and Reactions from Paired Egocentric Videos. - Ryo Yonetani; Kris M. Kitani; Yoichi Sato 001 (CVPR, 2016)

Visual Motif Discovery via First-Person Vision. - Ryo Yonetani; Kris Makoto Kitani; Yoichi Sato 001 (ECCV (2), 2016)

Rapid Prototyping of Accessible Interfaces With Gaze-Contingent Tunnel Vision Simulation. - Rie Kamikubo; Keita Higuchi; Ryo Yonetani; Hideki Koike; Yoichi Sato 001 (ASSETS, 2017)

Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption. - Ryo Yonetani; Vishnu Naresh Boddeti; Kris M. Kitani; Yoichi Sato 001 (ICCV, 2017)

Temporal Localization and Spatial Segmentation of Joint Attention in Multiple First-Person Videos. - Yifei Huang 002; Minjie Cai; Hiroshi Kera; Ryo Yonetani; Keita Higuchi; Yoichi Sato 001 (ICCV Workshops, 2017)

Egoscanning: quickly scanning first-person videos with egocentric elastic timelines. - Keita Higuchi; Ryo Yonetani; Yoichi Sato 001 (SIGGRAPH ASIA Emerging Technologies, 2017)

Dynamic Object Scanning: Object-Based Elastic Timeline for Quickly Browsing First-Person Videos. - Seita Kayukawa; Keita Higuchi; Ryo Yonetani; Masanori Nakamura; Yoichi Sato 001; Shigeo Morishima (CHI Extended Abstracts, 2018)

Future Person Localization in First-Person Videos. - Takuma Yagi; Karttikeya Mangalam; Ryo Yonetani; Yoichi Sato 001 (CVPR, 2018)

Browsing Group First-Person Videos with 3D Visualization. - Yuki Sugita; Keita Higuchi; Ryo Yonetani; Rie Kamikubo; Yoichi Sato 001 (ISS, 2018)

Exploring the Role of Tunnel Vision Simulation in the Design Cycle of Accessible Interfaces. - Rie Kamikubo; Keita Higuchi; Ryo Yonetani; Hideki Koike; Yoichi Sato 001 (W4A, 2018)

Ego-Surfing: Person Localization in First-Person Videos Using Ego-Motion Signatures. - Ryo Yonetani; Kris M. Kitani; Yoichi Sato 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge. - Takayuki Nishio; Ryo Yonetani (ICC, 2019)

Assisting group activity analysis through hand detection and identification in multiple egocentric videos. - Nathawan Charoenkulvanich; Rie Kamikubo; Ryo Yonetani; Yoichi Sato 001 (IUI, 2019)

Modeling Social Group Communication with Multi-Agent Imitation Learning. - Navyata Sanghvi; Ryo Yonetani; Kris M. Kitani (CoRR, 2019)

Hybrid-FL: Cooperative Learning Mechanism Using Non-IID Data in Wireless Networks. - Naoya Yoshida; Takayuki Nishio; Masahiro Morikura; Koji Yamamoto 001; Ryo Yonetani (CoRR, 2019)

Decentralized Learning of Generative Adversarial Networks from Multi-Client Non-iid Data. - Ryo Yonetani; Tomohiro Takahashi; Atsushi Hashimoto 001; Yoshitaka Ushiku (CoRR, 2019)

MGpi: A Computational Model of Multiagent Group Perception and Interaction. - Navyata Sanghvi; Ryo Yonetani; Kris Kitani (AAMAS, 2020)

Support Strategies for Remote Guides in Assisting People with Visual Impairments for Effective Indoor Navigation. - Rie Kamikubo; Naoya Kato; Keita Higuchi; Ryo Yonetani; Yoichi Sato 001 (CHI, 2020)

Hybrid-FL for Wireless Networks: Cooperative Learning Mechanism Using Non-IID Data. - Naoya Yoshida; Takayuki Nishio; Masahiro Morikura; Koji Yamamoto 001; Ryo Yonetani (ICC, 2020)

Adaptive Distillation for Decentralized Learning from Heterogeneous Clients. - Jiaxin Ma; Ryo Yonetani; Zahid Iqbal (ICPR, 2020)

MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics. - Mohammadamin Barekatain; Ryo Yonetani; Masashi Hamaya (IJCAI, 2020)

L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot Navigation. - Mai Nishimura; Ryo Yonetani (IROS, 2020)

Path Planning using Neural A* Search. - Ryo Yonetani; Tatsunori Taniai; Mohammadamin Barekatain; Mai Nishimura; Asako Kanezaki (ICML, 2021)

Precise Multi-Modal In-Hand Pose Estimation using Low-Precision Sensors for Robotic Assembly. - Felix von Drigalski; Kennosuke Hayashi; Yifei Huang 002; Ryo Yonetani; Masashi Hamaya; Kazutoshi Tanaka; Yoshihisa Ijiri (ICRA, 2021)

TRANS-AM: Transfer Learning by Aggregating Dynamics Models for Soft Robotic Assembly. - Kazutoshi Tanaka; Ryo Yonetani; Masashi Hamaya; Robert Lee; Felix von Drigalski; Yoshihisa Ijiri (ICRA, 2021)

Learning Robotic Contact Juggling. - Kazutoshi Tanaka; Masashi Hamaya; Devwrat Joshi; Felix von Drigalski; Ryo Yonetani; Takamitsu Matsubara; Yoshihisa Ijiri (IROS, 2021)

ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives. - Toshinori Kitamura; Ryo Yonetani (CoRR, 2021)

Crowd Density Forecasting by Modeling Patch-Based Dynamics. - Hiroaki Minoura; Ryo Yonetani; Mai Nishimura; Yoshitaka Ushiku (IEEE Robotics Autom. Lett., 2021)

CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces. - Keisuke Okumura 001; Ryo Yonetani; Mai Nishimura; Asako Kanezaki (AAMAS, 2022)

Prioritized Safe Interval Path Planning for Multi-Agent Pathfinding With Continuous Time on 2D Roadmaps. - Kazumi Kasaura; Mai Nishimura; Ryo Yonetani (IEEE Robotics Autom. Lett., 2022)

Periodic Multi-Agent Path Planning. - Kazumi Kasaura; Ryo Yonetani; Mai Nishimura (AAAI, 2023)

Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation. - Hikaru Asano; Ryo Yonetani; Mai Nishimura; Tadashi Kozuno (AAMAS, 2023)

Risk-aware Path Planning via Probabilistic Fusion of Traversability Prediction for Planetary Rovers on Heterogeneous Terrains. - Masafumi Endo; Tatsunori Taniai; Ryo Yonetani; Genya Ishigami (ICRA, 2023)

Importance Rank-Learning of Objects in Urban Scenes for Assisting Visually Impaired People. - Yasuhiro Nitta; Mariko Isogawa; Ryo Yonetani; Maki Sugimoto (IEEE Access, 2023)

Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control With Action Constraints. - Kazumi Kasaura; Shuwa Miura; Tadashi Kozuno; Ryo Yonetani; Kenta Hoshino; Yohei Hosoe (IEEE Robotics Autom. Lett., 2023)

CXSimulator: A User Behavior Simulation using LLM Embeddings for Web-Marketing Campaign Assessment. - Akira Kasuga; Ryo Yonetani (CIKM, 2024)

When to Replan? An Adaptive Replanning Strategy for Autonomous Navigation using Deep Reinforcement Learning. - Kohei Honda 002; Ryo Yonetani; Mai Nishimura; Tadashi Kozuno (ICRA, 2024)

Text2Traj2Text: Learning-by-Synthesis Framework for Contextual Captioning of Human Movement Trajectories. - Hikaru Asano; Ryo Yonetani; Taiki Sekii; Hiroki Ouchi (INLG, 2024)

RetailOpt: Opt-In, Easy-to-Deploy Trajectory Estimation from Smartphone Motion Data and Retail Facility Information. - Ryo Yonetani; Jun Baba; Yasutaka Furukawa (ISWC, 2024)

RetailOpt: An Opt-In, Easy-to-Deploy Trajectory Estimation System Leveraging Smartphone Motion Data and Retail Facility Information. - Ryo Yonetani; Jun Baba; Yasutaka Furukawa (CoRR, 2024)

Opt-in Camera: Person Identification in Video via UWB Localization and Its Application to Opt-in Systems. - Matthew Ishige; Yasuhiro Yoshimura; Ryo Yonetani (CoRR, 2024)

Path Planning Using Instruction-Guided Probabilistic Roadmaps. - Jiaqi Bao; Ryo Yonetani (ICRA, 2025)

TSPDiffuser: Diffusion Models as Learned Samplers for Traveling Salesperson Path Planning Problems. - Ryo Yonetani (ICRA, 2025)

GSplatVNM: Point-of-View Synthesis for Visual Navigation Models Using Gaussian Splatting. - Kohei Honda 002; Takeshi Ishita; Yasuhiro Yoshimura; Ryo Yonetani (CoRR, 2025)

Egocentric Action-aware Inertial Localization in Point Clouds. - Mingfang Zhang 002; Ryo Yonetani; Yifei Huang 002; Liangyang Ouyang; Ruicong Liu; Yoichi Sato 001 (CoRR, 2025)

Piggyback Camera: Easy-to-Deploy Visual Surveillance by Mobile Sensing on Commercial Robot Vacuums. - Ryo Yonetani (CoRR, 2025)

MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering. - Hikaru Asano; Hiroki Ouchi; Akira Kasuga; Ryo Yonetani (CoRR, 2025)

Map as a By-product: Collective Landmark Mapping from IMU Data and User-provided Texts in Situated Tasks. - Ryo Yonetani; Kotaro Hara (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2025)