| Client selection for federated learning with heterogeneous resources in mobile edge T Nishio, R Yonetani ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-7, 2019 | 276 | 2019 |
| Future person localization in first-person videos T Yagi, K Mangalam, R Yonetani, Y Sato Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 84 | 2018 |
| Can eye help you? Effects of visualizing eye fixations on remote collaboration scenarios for physical tasks K Higuch, R Yonetani, Y Sato Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems …, 2016 | 70 | 2016 |
| Recognizing micro-actions and reactions from paired egocentric videos R Yonetani, KM Kitani, Y Sato Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 64 | 2016 |
| Computational models of human visual attention and their implementations: A survey A Kimura, R Yonetani, T Hirayama IEICE TRANSACTIONS on Information and Systems 96 (3), 562-578, 2013 | 59 | 2013 |
| Ego-surfing first-person videos R Yonetani, KM Kitani, Y Sato Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 51 | 2015 |
| Egoscanning: Quickly scanning first-person videos with egocentric elastic timelines K Higuchi, R Yonetani, Y Sato Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems …, 2017 | 39 | 2017 |
| Gaze target determination device and gaze target determination method K Sakata, S Maeda, R Yonetani, H Kawashima, T Hirayama, ... US Patent 8,678,589, 2014 | 36 | 2014 |
| Hybrid-fl: Cooperative learning mechanism using non-iid data in wireless networks N Yoshida, T Nishio, M Morikura, K Yamamoto, R Yonetani arXiv preprint arXiv:1905.07210, 2019 | 33* | 2019 |
| Degree of interest estimating device and degree of interest estimating method K Sakata, S Maeda, R Yonetani, H Kawashima, T Hirayama, ... US Patent 9,538,219, 2017 | 32 | 2017 |
| Privacy-preserving visual learning using doubly permuted homomorphic encryption R Yonetani, V Naresh Boddeti, KM Kitani, Y Sato Proceedings of the IEEE International Conference on Computer Vision, 2040-2050, 2017 | 32 | 2017 |
| Multi-mode saliency dynamics model for analyzing gaze and attention R Yonetani, H Kawashima, T Matsuyama Proceedings of the Symposium on Eye Tracking Research and Applications, 115-122, 2012 | 23 | 2012 |
| Mental focus analysis using the spatio-temporal correlation between visual saliency and eye movements R Yonetani, H Kawashima, T Hirayama, T Matsuyama Journal of information Processing 20 (1), 267-276, 2012 | 23 | 2012 |
| Gaze probing: Event-based estimation of objects being focused on R Yonetani, H Kawashima, T Hirayama, T Matsuyama 2010 20th International Conference on Pattern Recognition, 101-104, 2010 | 15 | 2010 |
| Discovering objects of joint attention via first-person sensing H Kera, R Yonetani, K Higuchi, Y Sato Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 12 | 2016 |
| Temporal localization and spatial segmentation of joint attention in multiple first-person videos Y Huang, M Cai, H Kera, R Yonetani, K Higuchi, Y Sato Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 10 | 2017 |
| Semantic interpretation of eye movements using designed structures of displayed contents E Ishikawa, R Yonetani, H Kawashima, T Hirayama, T Matsuyama Proceedings of the 4th Workshop on Eye Gaze in Intelligent Human Machine …, 2012 | 9 | 2012 |
| Visual motif discovery via first-person vision R Yonetani, KM Kitani, Y Sato European Conference on Computer Vision, 187-203, 2016 | 7 | 2016 |
| Learning aspects of interest from gaze K Shimonishi, H Kawashima, R Yonetani, E Ishikawa, T Matsuyama Proceedings of the 6th workshop on eye gaze in intelligent human machine …, 2013 | 7 | 2013 |
| MGpi: A computational model of multiagent group perception and interaction N Sanghvi, R Yonetani, K Kitani arXiv preprint arXiv:1903.01537, 2019 | 6* | 2019 |
Yoichi SatoProfessor, Institute of Industrial Science, The University of Tokyo確認したメール アドレス: iis.u-tokyo.ac.jp
