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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] 2023-02-21
10:45
Hokkaido Hokkaido Univ. A Note on Multi-label Image Classification in Animation Illustration Considering Hierarchical Relationships of Attributes
Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a multi-label classification of animated illustrations considering the hierarchical relationships of... [more] MMS2023-2 ME2023-22 AIT2023-2
pp.5-9
ME 2021-12-13
14:00
Online online Emotion Recognition from Gait Using Attention Spatial-Temporal Graph Convolutional Network
Shoji Kisita, Chen Yen-Wei (Ritsumeikan Univ.), Tomoko Tateyama (Shiga Univ.), Yutaro Iwamoto, Liu Jiaqing, Chai Shurong (Ritsumeikan Univ.)
3D pose recognition is a technology that has been used in many fields, including touchless operation in the medical fiel... [more] ME2021-94
pp.25-28
HI 2021-03-05
14:30
Online   [Short Paper] 3D Human Body Pose Estimation Using Graph Convolutional Networks
Shoji Kisita, Jiaqing Liu (Ritsumeikan Univ.), Tomoko Tateyama (Shiga Univ.), Yutaro Iwamoto, Yen-Wei Chen (Ritsumeikan Univ.)
3D pose recognition can apply for many fields, such as touchless operation in the medical field and the entertainment fi... [more] HI2021-8
pp.27-28
AIT, IIEEJ, AS, CG-ARTS 2019-03-12
15:45
Tokyo Waseda Univ. Semantic Segmentation for 3D Human Models
Satoshi Yamaguchi, Yoshihiro Kanamori, Jun Mitani (University of Tsukuba)
We propose a technique for semantic segmentation of 3D human models. Existing techniques for general 3D objects solely r... [more] AIT2019-80
pp.119-122
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-20
13:30
Hokkaido Hokkaido Univ. Evaluation of Multi-level Data Demodulation Using Convolutional Neural Networks for Holographic Data Storage
Yutaro Katano, Tetsuhiko Muroi, Nobuhiro Kinoshita, Norihiko Ishii (NHK)
Holographic data storage (HDS) is a promising next generation archival memory with large capacity, high data-transfer ra... [more] MMS2019-20 HI2019-20 ME2019-42 AIT2019-20
pp.205-208
IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] 2018-02-16
13:15
Hokkaido Hokkaido Univ. Suppression of Inter-symbol Interference by Convolutional Neural Networks for Holographic Data Storage
Yutaro Katano, Tetsuhiko Muroi, Kinoshita Nobuhiro, Norihiko Ishii (NHK)
Holographic data storage (HDS) is a promising for next generation archival media. In reproduction, reproduced data of tw... [more] MMS2018-25 HI2018-25 ME2018-25 AIT2018-25
pp.267-270
 Results 1 - 6 of 6  /   
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