Search Results - "Yonetani, Ryo"

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  1. 1

    Future Person Localization in First-Person Videos by Yagi, Takuma, Mangalam, Karttikeya, Yonetani, Ryo, Sato, Yoichi

    “…We present a new task that predicts future locations of people observed in first-person videos. Consider a first-person video stream continuously recorded by a…”
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    Conference Proceeding
  2. 2

    L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot Navigation by Nishimura, Mai, Yonetani, Ryo

    “…This work presents a deep reinforcement learning framework for interactive navigation in a crowded place. Our proposed Learning to Balance (L2B) framework…”
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    Conference Proceeding
  3. 3

    Recognizing Micro-Actions and Reactions from Paired Egocentric Videos by Yonetani, Ryo, Kitani, Kris M., Sato, Yoichi

    “…We aim to understand the dynamics of social interactions between two people by recognizing their actions and reactions using a head-mounted camera. Our work…”
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    Conference Proceeding
  4. 4

    Importance Rank-Learning of Objects in Urban Scenes for Assisting Visually Impaired People by Nitta, Yasuhiro, Isogawa, Mariko, Yonetani, Ryo, Sugimoto, Maki

    Published in IEEE access (01-01-2023)
    “…This paper examines an importance rank learning method of objects in urban scenes for assisting visually impaired people. Object detection methods have been…”
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    Journal Article
  5. 5

    Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge by Nishio, Takayuki, Yonetani, Ryo

    “…We envision a mobile edge computing (MEC) framework for machine learning (ML) technologies, which leverages distributed client data and computation resources…”
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    Conference Proceeding
  6. 6

    Hybrid-FL for Wireless Networks: Cooperative Learning Mechanism Using Non-IID Data by Yoshida, Naoya, Nishio, Takayuki, Morikura, Masahiro, Yamamoto, Koji, Yonetani, Ryo

    “…This paper proposes a cooperative mechanism for mitigating the performance degradation due to non-independent and-identically-distributed (non-IID) data in…”
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    Conference Proceeding
  7. 7

    Precise Multi-Modal In-Hand Pose Estimation using Low-Precision Sensors for Robotic Assembly by von Drigalski, Felix, Hayashi, Kennosuke, Huang, Yifei, Yonetani, Ryo, Hamaya, Masashi, Tanaka, Kazutoshi, Ijiri, Yoshihisa

    “…In industrial assembly tasks, the in-hand pose of grasped objects needs to be known with high precision for subsequent manipulation tasks such as insertion…”
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    Conference Proceeding
  8. 8

    Prioritized Safe Interval Path Planning for Multi-Agent Pathfinding With Continuous Time on 2D Roadmaps by Kasaura, Kazumi, Nishimura, Mai, Yonetani, Ryo

    Published in IEEE robotics and automation letters (01-10-2022)
    “…We address a challenging multi-agent pathfinding (MAPF) problem for hundreds of agents moving on a 2D roadmap with continuous time. Despite its known potential…”
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    Journal Article
  9. 9

    Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption by Yonetani, Ryo, Boddeti, Vishnu Naresh, Kitani, Kris M., Sato, Yoichi

    “…We propose a privacy-preserving framework for learning visual classifiers by leveraging distributed private image data. This framework is designed to aggregate…”
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    Conference Proceeding
  10. 10

    Ego-Surfing: Person Localization in First-Person Videos Using Ego-Motion Signatures by Yonetani, Ryo, Kitani, Kris M., Sato, Yoichi

    “…We envision a future time when wearable cameras are worn by the masses and recording first-person point-of-view videos of everyday life. While these cameras…”
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    Journal Article
  11. 11

    Adaptive Distillation for Decentralized Learning from Heterogeneous Clients by Ma, Jiaxin, Yonetani, Ryo, Iqbal, Zahid

    “…This paper addresses the problem of decentralized learning to achieve a high-performance global model by asking a group of clients to share local models…”
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    Conference Proceeding
  12. 12

    Discovering Objects of Joint Attention via First-Person Sensing by Kera, Hiroshi, Yonetani, Ryo, Higuchi, Keita, Sato, Yoichi

    “…The goal of this work is to discover objects of joint attention, i.e., objects being viewed by multiple people using head-mounted cameras and eye trackers…”
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    Conference Proceeding
  13. 13

    TSPDiffuser: Diffusion Models as Learned Samplers for Traveling Salesperson Path Planning Problems by Yonetani, Ryo

    Published 04-06-2024
    “…This paper presents TSPDiffuser, a novel data-driven path planner for traveling salesperson path planning problems (TSPPPs) in environments rich with…”
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    Journal Article
  14. 14

    Crowd Density Forecasting by Modeling Patch-based Dynamics by Minoura, Hiroaki, Yonetani, Ryo, Nishimura, Mai, Ushiku, Yoshitaka

    Published in IEEE robotics and automation letters (01-04-2021)
    “…Forecasting human activities observed in videos is a long-standing challenge in computer vision and robotics and is also beneficial for various real-world…”
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    Journal Article
  15. 15

    Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints by Kasaura, Kazumi, Miura, Shuwa, Kozuno, Tadashi, Yonetani, Ryo, Hoshino, Kenta, Hosoe, Yohei

    Published in IEEE robotics and automation letters (01-08-2023)
    “…This study presents a benchmark for evaluating action-constrained reinforcement learning (RL) algorithms. In action-constrained RL, each action taken by the…”
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    Journal Article
  16. 16

    Ego-surfing first person videos by Yonetani, Ryo, Kitani, Kris M., Sato, Yoichi

    “…We envision a future time when wearable cameras (e.g., small cameras in glasses or pinned on a shirt collar) are worn by the masses and record first-person…”
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    Conference Proceeding
  17. 17

    Learning Robotic Contact Juggling by Tanaka, Kazutoshi, Hamaya, Masashi, Joshi, Devwrat, von Drigalski, Felix, Yonetani, Ryo, Matsubara, Takamitsu, Ijiri, Yoshihisa

    “…Robotic contact juggling is a challenging task in which robots must control the movement of a ball rapidly and indirectly without holding it while keeping the…”
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    Conference Proceeding
  18. 18

    CXSimulator: A User Behavior Simulation using LLM Embeddings for Web-Marketing Campaign Assessment by Kasuga, Akira, Yonetani, Ryo

    Published 31-07-2024
    “…This paper presents the Customer Experience (CX) Simulator, a novel framework designed to assess the effects of untested web-marketing campaigns through user…”
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    Journal Article
  19. 19

    ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives by Kitamura, Toshinori, Yonetani, Ryo

    Published 08-12-2021
    “…We present ShinRL, an open-source library specialized for the evaluation of reinforcement learning (RL) algorithms from both theoretical and practical…”
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    Journal Article
  20. 20

    Opt-in Camera: Person Identification in Video via UWB Localization and Its Application to Opt-in Systems by Ishige, Matthew, Yoshimura, Yasuhiro, Yonetani, Ryo

    Published 29-09-2024
    “…This paper presents opt-in camera, a concept of privacy-preserving camera systems capable of recording only specific individuals in a crowd who explicitly…”
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    Journal Article