Neural density-distance fields I Ueda, Y Fukuhara, H Kataoka, H Aizawa, H Shishido, I Kitahara European Conference on Computer Vision, 53-68, 2022 | 21 | 2022 |
Rltutor: Reinforcement learning based adaptive tutoring system by modeling virtual student with fewer interactions Y Kubotani, Y Fukuhara, S Morishima arXiv preprint arXiv:2108.00268, 2021 | 9 | 2021 |
Atro: Adversarial training with a rejection option M Kato, Z Cui, Y Fukuhara arXiv preprint arXiv:2010.12905, 2020 | 8 | 2020 |
What do adversarially robust models look at? T Itazuri, Y Fukuhara, H Kataoka, S Morishima arXiv preprint arXiv:1905.07666, 2019 | 5 | 2019 |
Automatic paper summary generation from visual and textual information S Yamamoto, Y Fukuhara, R Suzuki, S Morishima, H Kataoka Eleventh International Conference on Machine Vision (ICMV 2018) 11041, 214-221, 2019 | 5 | 2019 |
Understanding fake faces R Natsume, K Inoue, Y Fukuhara, S Yamamoto, S Morishima, H Kataoka Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 2 | 2018 |
Scapegoat Generation for Privacy Protection from Deepfake G Kato, Y Fukuhara, M Isogawa, H Tsunashima, H Kataoka, S Morishima 2023 IEEE International Conference on Image Processing (ICIP), 3364-3368, 2023 | 1 | 2023 |
Retexturing under self-occlusion using hierarchical markers S Miyagawa, Y Fukuhara, F Narita, N Ogata, S Morishima ACM SIGGRAPH 2017 Posters, 1-2, 2017 | 1 | 2017 |
Fiber-dependent approach for fast dynamic character animation A Kaneda, T Fukusato, Y Fukuhara, T Nakatsuka, S Morishi-ma The 30th International Conference on Computer Animation and Social Agents …, 2017 | 1 | 2017 |
Detect Fake with Fake: Leveraging Synthetic Data-driven Representation for Synthetic Image Detection H Otake, Y Fukuhara, Y Kubotani, S Morishima arXiv preprint arXiv:2409.08884, 2024 | | 2024 |
Enhancing Inverse Problem Solutions with Accurate Surrogate Simulators and Promising Candidates A Fujii, H Tsunashima, Y Fukuhara, K Shimizu, S Watanabe arXiv preprint arXiv:2304.13860, 2023 | | 2023 |
Property analysis of adversarially robust representation Y Fukuhara, T Itazuri, H Kataoka, S Morishima Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision …, 2021 | | 2021 |
Vision and Language for Automatic Paper Summary Generation S Yamamoto, Y Fukuhara, R Suzuki, H Kataoka, S Morishima IEICE Technical Report; IEICE Tech. Rep. 118 (362), 109-114, 2018 | | 2018 |
Learning with Protection: Rejection of Suspicious Samples under Adversarial Environment M Kato, Y Fukuhara, H Kataoka, S Morishima | | |