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2020 – today
- 2025
[i25]Jiaqi Bao, Ryo Yonetani:
Path Planning using Instruction-Guided Probabilistic Roadmaps. CoRR abs/2502.16515 (2025)- 2024
- [c42]Akira Kasuga
, Ryo Yonetani:
CXSimulator: A User Behavior Simulation using LLM Embeddings for Web-Marketing Campaign Assessment. CIKM 2024: 3817-3821 - [c41]Kohei Honda, Ryo Yonetani, Mai Nishimura, Tadashi Kozuno:
When to Replan? An Adaptive Replanning Strategy for Autonomous Navigation using Deep Reinforcement Learning. ICRA 2024: 6650-6656 - [c40]Hikaru Asano, Ryo Yonetani, Taiki Sekii, Hiroki Ouchi:
Text2Traj2Text: Learning-by-Synthesis Framework for Contextual Captioning of Human Movement Trajectories. INLG 2024: 289-302 - [c39]Ryo Yonetani, Jun Baba, Yasutaka Furukawa:
RetailOpt: Opt-In, Easy-to-Deploy Trajectory Estimation from Smartphone Motion Data and Retail Facility Information. ISWC 2024: 125-132 - [i24]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 abs/2404.12548 (2024) - [i23]Ryo Yonetani:
TSPDiffuser: Diffusion Models as Learned Samplers for Traveling Salesperson Path Planning Problems. CoRR abs/2406.02858 (2024) - [i22]Akira Kasuga, Ryo Yonetani:
CXSimulator: A User Behavior Simulation using LLM Embeddings for Web-Marketing Campaign Assessment. CoRR abs/2407.21553 (2024) - [i21]Hikaru Asano, Ryo Yonetani, Taiki Sekii, Hiroki Ouchi:
Text2Traj2Text: Learning-by-Synthesis Framework for Contextual Captioning of Human Movement Trajectories. CoRR abs/2409.12670 (2024) - [i20]Matthew Ishige, Yasuhiro Yoshimura, Ryo Yonetani:
Opt-in Camera: Person Identification in Video via UWB Localization and Its Application to Opt-in Systems. CoRR abs/2409.19891 (2024) - 2023
- [j10]Yasuhiro Nitta, Mariko Isogawa, Ryo Yonetani, Maki Sugimoto:
Importance Rank-Learning of Objects in Urban Scenes for Assisting Visually Impaired People. IEEE Access 11: 62932-62941 (2023) - [j9]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): 4449-4456 (2023) - [c38]Kazumi Kasaura, Ryo Yonetani, Mai Nishimura:
Periodic Multi-Agent Path Planning. AAAI 2023: 6183-6191 - [c37]Hikaru Asano, Ryo Yonetani, Mai Nishimura, Tadashi Kozuno:
Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation. AAMAS 2023: 887-895 - [c36]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: 11852-11858 - [i19]Kazumi Kasaura, Ryo Yonetani, Mai Nishimura:
Periodic Multi-Agent Path Planning. CoRR abs/2301.10910 (2023) - [i18]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 abs/2303.01169 (2023) - [i17]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 abs/2304.08743 (2023) - [i16]Kohei Honda, Ryo Yonetani, Mai Nishimura, Tadashi Kozuno:
When to Replan? An Adaptive Replanning Strategy for Autonomous Navigation using Deep Reinforcement Learning. CoRR abs/2304.12046 (2023) - [i15]Hikaru Asano, Ryo Yonetani, Mai Nishimura, Tadashi Kozuno:
Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation. CoRR abs/2305.11465 (2023) - 2022
- [j8]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): 10494-10501 (2022) - [c35]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: 972-981 - [i14]Keisuke Okumura, Ryo Yonetani, Mai Nishimura, Asako Kanezaki:
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces. CoRR abs/2201.09467 (2022) - 2021
- [j7]Hiroaki Minoura, Ryo Yonetani, Mai Nishimura, Yoshitaka Ushiku:
Crowd Density Forecasting by Modeling Patch-Based Dynamics. IEEE Robotics Autom. Lett. 6(1): 287-294 (2021) - [c34]Ryo Yonetani, Tatsunori Taniai, Mohammadamin Barekatain, Mai Nishimura, Asako Kanezaki:
Path Planning using Neural A* Search. ICML 2021: 12029-12039 - [c33]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: 968-974 - [c32]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: 4627-4633 - [c31]Kazutoshi Tanaka, Masashi Hamaya, Devwrat Joshi, Felix von Drigalski, Ryo Yonetani, Takamitsu Matsubara, Yoshihisa Ijiri:
Learning Robotic Contact Juggling. IROS 2021: 958-964 - [i13]Toshinori Kitamura, Ryo Yonetani:
ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives. CoRR abs/2112.04123 (2021) - 2020
- [c30]Navyata Sanghvi, Ryo Yonetani, Kris Kitani:
MGpi: A Computational Model of Multiagent Group Perception and Interaction. AAMAS 2020: 1196-1205 - [c29]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: 1-12 - [c28]Naoya Yoshida, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto, Ryo Yonetani:
Hybrid-FL for Wireless Networks: Cooperative Learning Mechanism Using Non-IID Data. ICC 2020: 1-7 - [c27]Jiaxin Ma, Ryo Yonetani, Zahid Iqbal:
Adaptive Distillation for Decentralized Learning from Heterogeneous Clients. ICPR 2020: 7486-7492 - [c26]Mohammadamin Barekatain, Ryo Yonetani, Masashi Hamaya:
MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics. IJCAI 2020: 3108-3116 - [c25]Mai Nishimura, Ryo Yonetani:
L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot Navigation. IROS 2020: 11004-11010 - [i12]Mai Nishimura, Ryo Yonetani:
L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot Navigation. CoRR abs/2003.09207 (2020) - [i11]Jiaxin Ma, Ryo Yonetani, Zahid Iqbal:
Adaptive Distillation for Decentralized Learning from Heterogeneous Clients. CoRR abs/2008.07948 (2020) - [i10]Ryo Yonetani, Tatsunori Taniai, Mohammadamin Barekatain, Mai Nishimura, Asako Kanezaki:
Path Planning using Neural A* Search. CoRR abs/2009.07476 (2020)
2010 – 2019
- 2019
- [c24]Takayuki Nishio, Ryo Yonetani:
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge. ICC 2019: 1-7 - [c23]Nathawan Charoenkulvanich, Rie Kamikubo, Ryo Yonetani, Yoichi Sato:
Assisting group activity analysis through hand detection and identification in multiple egocentric videos. IUI 2019: 570-574 - [i9]Navyata Sanghvi, Ryo Yonetani, Kris M. Kitani:
Modeling Social Group Communication with Multi-Agent Imitation Learning. CoRR abs/1903.01537 (2019) - [i8]Naoya Yoshida, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto, Ryo Yonetani:
Hybrid-FL: Cooperative Learning Mechanism Using Non-IID Data in Wireless Networks. CoRR abs/1905.07210 (2019) - [i7]Ryo Yonetani, Tomohiro Takahashi, Atsushi Hashimoto, Yoshitaka Ushiku:
Decentralized Learning of Generative Adversarial Networks from Multi-Client Non-iid Data. CoRR abs/1905.09684 (2019) - [i6]Mohammadamin Barekatain, Ryo Yonetani, Masashi Hamaya:
MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics. CoRR abs/1909.13111 (2019) - [i5]Hiroaki Minoura, Ryo Yonetani, Mai Nishimura, Yoshitaka Ushiku:
Crowd Density Forecasting by Modeling Patch-based Dynamics. CoRR abs/1911.09814 (2019) - 2018
- [j6]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): 2749-2761 (2018) - [c22]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 - [c21]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 - [c20]Takuma Yagi, Karttikeya Mangalam, Ryo Yonetani, Yoichi Sato:
Future Person Localization in First-Person Videos. CVPR 2018: 7593-7602 - [c19]Yuki Sugita, Keita Higuchi, Ryo Yonetani, Rie Kamikubo, Yoichi Sato:
Browsing Group First-Person Videos with 3D Visualization. ISS 2018: 55-60 - [c18]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: 13:1-13:10 - [i4]Takayuki Nishio, Ryo Yonetani:
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge. CoRR abs/1804.08333 (2018) - 2017
- [c17]Rie Kamikubo, Keita Higuchi, Ryo Yonetani, Hideki Koike, Yoichi Sato:
Rapid Prototyping of Accessible Interfaces With Gaze-Contingent Tunnel Vision Simulation. ASSETS 2017: 387-388 - [c16]Keita Higuchi, Ryo Yonetani, Yoichi Sato:
EgoScanning: Quickly Scanning First-Person Videos with Egocentric Elastic Timelines. CHI 2017: 6536-6546 - [c15]Ryo Yonetani, Vishnu Naresh Boddeti, Kris M. Kitani, Yoichi Sato:
Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption. ICCV 2017: 2059-2069 - [c14]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: 2313-2321 - [c13]Keita Higuchi, Ryo Yonetani, Yoichi Sato:
Egoscanning: quickly scanning first-person videos with egocentric elastic timelines. SIGGRAPH ASIA Emerging Technologies 2017: 5:1-5:2 - [i3]Ryo Yonetani, Vishnu Naresh Boddeti, Kris M. Kitani, Yoichi Sato:
Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption. CoRR abs/1704.02203 (2017) - [i2]Takuma Yagi, Karttikeya Mangalam, Ryo Yonetani, Yoichi Sato:
Future Person Localization in First-Person Videos. CoRR abs/1711.11217 (2017) - 2016
- [c12]Keita Higuchi, Ryo Yonetani, Yoichi Sato:
Can Eye Help You?: Effects of Visualizing Eye Fixations on Remote Collaboration Scenarios for Physical Tasks. CHI 2016: 5180-5190 - [c11]Hiroshi Kera, Ryo Yonetani, Keita Higuchi, Yoichi Sato:
Discovering Objects of Joint Attention via First-Person Sensing. CVPR Workshops 2016: 361-369 - [c10]Ryo Yonetani, Kris M. Kitani, Yoichi Sato:
Recognizing Micro-Actions and Reactions from Paired Egocentric Videos. CVPR 2016: 2629-2638 - [c9]Ryo Yonetani, Kris Makoto Kitani, Yoichi Sato:
Visual Motif Discovery via First-Person Vision. ECCV (2) 2016: 187-203 - [i1]Ryo Yonetani, Kris Makoto Kitani, Yoichi Sato:
Ego-Surfing First-Person Videos. CoRR abs/1606.04637 (2016) - 2015
- [c8]Ryo Yonetani, Kris Makoto Kitani, Yoichi Sato:
Ego-surfing first person videos. CVPR 2015: 5445-5454 - 2013
- [b1]Ryo Yonetani:
Modeling Spatiotemporal Correlations between Video Saliency and Gaze Dynamics. Kyoto University, Japan, 2013 - [j5]Akisato Kimura, Ryo Yonetani, Takatsugu Hirayama:
Computational Models of Human Visual Attention and Their Implementations: A Survey. IEICE Trans. Inf. Syst. 96-D(3): 562-578 (2013) - [j4]Ryo Yonetani, Hiroaki Kawashima, Takashi Matsuyama:
Learning Spatiotemporal Gaps between Where We Look and What We Focus on. Inf. Media Technol. 8(4): 1066-1070 (2013) - [j3]Ryo Yonetani, Hiroaki Kawashima, Takashi Matsuyama:
Learning Spatiotemporal Gaps between Where We Look and What We Focus on. IPSJ Trans. Comput. Vis. Appl. 5: 75-79 (2013) - [c7]Kei Shimonishi, Hiroaki Kawashima, Ryo Yonetani, Erina Ishikawa, Takashi Matsuyama:
Learning aspects of interest from Gaze. GazeIn@ICMI 2013: 41-44 - [c6]Ryo Yonetani, Hiroaki Kawashima, Takashi Matsuyama:
Predicting where we look from spatiotemporal gaps. ICMI 2013: 421-428 - 2012
- [j2]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): 496-505 (2012) - [j1]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): 267-276 (2012) - [c5]Ryo Yonetani, Akisato Kimura, Hitoshi Sakano, Ken Fukuchi:
Single Image Segmentation with Estimated Depth. BMVC 2012: 1-11 - [c4]Ryo Yonetani, Hiroaki Kawashima, Takashi Matsuyama:
Multi-mode saliency dynamics model for analyzing gaze and attention. ETRA 2012: 115-122 - [c3]Erina Ishikawa, Ryo Yonetani, Hiroaki Kawashima, Takatsugu Hirayama, Takashi Matsuyama:
Semantic interpretation of eye movements using designed structures of displayed contents. GazeIn@ICMI 2012: 17:1-17:3 - [c2]Ryo Yonetani:
Modeling video viewing behaviors for viewer state estimation. ACM Multimedia 2012: 1393-1396 - 2010
- [c1]Ryo Yonetani, Hiroaki Kawashima, Takatsugu Hirayama, Takashi Matsuyama:
Gaze Probing: Event-Based Estimation of Objects Being Focused On. ICPR 2010: 101-104
Coauthor Index
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