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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 # |
| IEICE-SIS, IPSJ-AVM, 3DMT [detail] |
2019-06-13
13:55 |
Nagasaki |
Fukue Culture Center |
Accuracy Improvement of Depth Estimation from a Single Still Image Using Feature Pyramid Network
Yudai Fukuda, Takuro Oki, Ryusuke Miyamoto (Meiji Univ.) |
Depth estimation from a single shot image have become accurate drastically after emergence of deep
neural networks that... [more] |
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| IST |
2018-11-28
16:30 |
Tokyo |
Tamachi Campus, TITECH |
[Poster Presentation]
Joint optimization for compressive video sensing and reconstruction under hardware constraints
Michitaka Yoshida (Kyushu Univ.), Akihiko Torii, Masatoshi Okutomi (Tokyo Tech), Kenta Endo, Yukinobu Sugiyama (Hamamatsu Photonics K. K.), RIn-ichiro Taniguchi (Kyushu Univ.), Hajime Nagahara (Osaka Univ.) |
Compressive video sensing is the process of encoding multiple sub-frames into a single frame with controlled sensor expo... [more] |
IST2018-59
pp.1-2 |
| IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] |
2018-02-15
15:45 |
Hokkaido |
Hokkaido Univ. |
A Note on Estimation of Users' Emotion Evoked During Listening to Music
-- Performance Improvement Based on Deep Learning Method --
Hakusyou Dan, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method that estimates users’ emotion evoked during listening to music. In our method, we use audio... [more] |
MMS2018-21 HI2018-21 ME2018-21 AIT2018-21
pp.201-206 |
| IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] |
2018-02-16
13:00 |
Hokkaido |
Hokkaido Univ. |
Study of Multi-Scale Residual Network for Image-to-Image Translation
Rei Endo, Yoshihiko Kawai, Takahiro Mochizuki (NHK) |
In recent years, deep neural networks have widely studied in various fields such as object recognition, scene classifica... [more] |
MMS2018-35 HI2018-35 ME2018-35 AIT2018-35
pp.319-322 |
| ME, CE, IPSJ-AVM, IEICE-IE [detail] |
2016-08-08
13:30 |
Fukuoka |
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Multi-stage identification of GGO candidate regions using DCNN and SVM
Kazuki Hirayama, Joo Kooi Tan, Hyoungseop Kim (KIT), Takatoshi Aoki (UOEH), Shoji Kido (YU) |
Recently, the development of CAD (Computer Aided Diagnosis) system for the purpose of reducing the burden to the physici... [more] |
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