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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
AIT, IIEEJ, AS, CG-ARTS |
2024-03-05 14:30 |
Tokyo |
Tokyo University of Technology |
Card game AI applying reinforcement learning with Unity ML-Agents Tatsuya Watanabe, Junichi Yamamoto (THCU) |
In recent years, there has been active research in game AI, with AI agents reaching the level of professional players in... [more] |
AIT2024-138 pp.375-376 |
IIEEJ, AIT |
2021-10-27 15:40 |
Osaka |
(Primary: On-site, Secondary: Online) |
Acquisition of Human's Memory Mechanism for Video Frames Koki Nishimoto, Kimiaki Shirahama (Kindai Univ.) |
When a video is played back, humans understand the contents while unconsciously deciding whether to memorize each frame.... [more] |
AIT2021-145 pp.17-20 |
ME |
2021-02-27 14:00 |
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A System for Joining Body Part Motions Using Reinforcement Learning Takumu Matsushita, Asako Soga (Ryukoku Univ) |
In this study, we developed a system for joining body-part motions using reinforcement learning with the aim of supporti... [more] |
ME2021-43 pp.57-58 |
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27 16:20 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
[Special Talk]
Neighbor-Aware Approaches for Pixel Labeling Ryosuke Furuta (TUS), Naoto Inoue, Toshihiko Yamasaki (UT) |
Pixel labeling is one of the most classical and important problems in the field of computer vision because it has a vari... [more] |
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HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-28 15:10 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
Unpaired Learning for Noise-free, Scale Invariant, and Interpretable Image Enhancement Satoshi Kosugi, Toshihiko Yamasaki (Univ. of Tokyo) |
This paper tackles unpaired image enhancement, a task of learning a mapping function which transforms input images into ... [more] |
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AIT, IIEEJ, AS, CG-ARTS |
2019-03-12 11:15 |
Tokyo |
Waseda Univ. |
Generation of behavior of virtual pet corresponding to person's cue using reinforcement learning Yuki Kohata, Hiroshi Mori, Fubito Toyama, Kneji Shoji (Utsunomiya Univ.) |
Symbolic input form is adopted for interaction between conventional people and CG animals. However, in actual human-anim... [more] |
AIT2019-108 pp.211-212 |
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