| Ego4d: Around the world in 3,000 hours of egocentric video K Grauman, A Westbury, E Byrne, Z Chavis, A Furnari, R Girdhar, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 890 | 2022 |
| Future Person Localization in First-Person Videos T Yagi, K Mangalam, R Yonetani, Y Sato 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 224 | 2018 |
| Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives K Grauman, A Westbury, L Torresani, K Kitani, J Malik, T Afouras, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 92 | 2024 |
| GO-finder: a registration-free wearable system for assisting users in finding lost objects via hand-held object discovery T Yagi, T Nishiyasu, K Kawasaki, M Matsuki, Y Sato Proceedings of the 26th International Conference on Intelligent User …, 2021 | 13 | 2021 |
| Fine-grained affordance annotation for egocentric hand-object interaction videos Z Yu, Y Huang, R Furuta, T Yagi, Y Goutsu, Y Sato Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 11 | 2023 |
| Foreground-aware stylization and consensus pseudo-labeling for domain adaptation of first-person hand segmentation T Ohkawa, T Yagi, A Hashimoto, Y Ushiku, Y Sato IEEE Access 9, 94644-94655, 2021 | 10 | 2021 |
| Hand-Object Contact Prediction via Motion-Based Pseudo-Labeling and Guided Progressive Label Correction T Yagi, MT Hasan, Y Sato 32nd British Machine Vision Conference (BMVC), 2021 | 9 | 2021 |
| FineBio: A Fine-Grained Video Dataset of Biological Experiments with Hierarchical Annotation T Yagi, M Ohashi, Y Huang, R Furuta, S Adachi, T Mitsuyama, Y Sato arXiv preprint arXiv:2402.00293, 2024 | 4 | 2024 |
| Learning Object States from Actions via Large Language Models M Tateno, T Yagi, R Furuta, Y Sato arXiv preprint arXiv:2405.01090, 2024 | 2 | 2024 |
| Exo2EgoDVC: Dense Video Captioning of Egocentric Procedural Activities Using Web Instructional Videos T Ohkawa, T Yagi, T Nishimura, R Furuta, A Hashimoto, Y Ushiku, Y Sato arXiv preprint arXiv:2311.16444, 2023 | 2 | 2023 |
| Style Adapted DataBase: Generalizing Hand Segmentation via Semantics-aware Stylization T Ohkawa, T Yagi, Y Sato IEICE Technical Report; IEICE Tech. Rep. 120 (187), 26-31, 2020 | 1 | 2020 |
| Label generation method, model generation method, label generation device, label generation program, model generation device, and model generation program T Ohkawa, A Hashimoto, Y Ushiku, Y Sato, Y Takuma US Patent App. 18/685,966, 2024 | | 2024 |
| PolarDB: Formula-Driven Dataset for Pre-Training Trajectory Encoders S Miyamoto, T Yagi, Y Makimoto, M Ukai, Y Ushiku, A Hashimoto, N Inoue ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| GO-Finder: A Registration-free Wearable System for Assisting Users in Finding Lost Hand-held Objects T Yagi, T Nishiyasu, K Kawasaki, M Matsuki, Y Sato ACM Transactions on Interactive Intelligent Systems 12 (4), 1-29, 2022 | | 2022 |
| Precise Affordance Annotation for Egocentric Action Video Datasets Z Yu, Y Huang, R Furuta, T Yagi, Y Goutsu, Y Sato arXiv preprint arXiv:2206.05424, 2022 | | 2022 |
| Object Instance Identification in Dynamic Environments T Yagi, MT Hasan, Y Sato arXiv preprint arXiv:2206.05319, 2022 | | 2022 |
| Egocentric pedestrian motion prediction by separately modeling body pose and position D Wu, T Yagi, Y Matsui, Y Sato IEICE Technical Report; IEICE Tech. Rep. 119 (481), 39-44, 2020 | | 2020 |
| Human-Computer Interaction: an User Evaluation Perspective-- T Yagi, S Shinagawa, K Akiyama, K Hirotaka, R Shimamura, T Matayoshi IEICE Technical Report; IEICE Tech. Rep. 118 (260), 1-4, 2018 | | 2018 |
| Egocentric Pedestrian Motion Forecasting for Separately Modelling Pose and Location D WU, T YAGI, Y MATSUI, Y SATO | | |
| Future Person Localization in First-Person Videos: Supplementary Material T Yagi, K Mangalam, R Yonetani, Y Sato | | |
Yoichi SatoProfessor, Institute of Industrial Science, The University of TokyoVahvistettu sähköpostiosoite verkkotunnuksessa iis.u-tokyo.ac.jp
