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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 26  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IEICE-EID, IDY, IEE-EDD, SID-JC, IEIJ-SSL [detail] 2024-01-25
13:15
Kyoto
(Primary: On-site, Secondary: Online)
[Poster Presentation] Reproduction of changes in membrane potential of neurons by synaptic devices using memristors
Kenta Yachida, Yoshiya Abe, Kazuki Sawai (Ryukoku Univ.), Tokiyoshi Matsuda (Kindai Univ./Ryukoku Univ.), Hidenori Kawanishi (Ryukoku Univ.), Mutsumi Kimura (Ryukoku Univ./NAIST)
We attempted to replicate the changes in the membrane potential of neurons using thin-film neuromorphic devices that int... [more]
IEICE-SIS, BCT 2023-10-13
09:30
Yamaguchi HISTORIA UBE
(Primary: On-site, Secondary: Online)
[Invited Talk] Material reservoir computing devices for robot applications, such as in-sensor tactile computing devices
Hirofumi Tanaka (Kyutech)
Reservoir arithmetic elements, which are expected to be used as lighter-task AI hardware systems, were fabricated in ran... [more]
ME, IEICE-EMM, IEICE-IE, IEICE-LOIS, IEE-CMN, IPSJ-AVM [detail] 2023-09-07
09:50
Osaka Osaka Metropolitan Univ.
(Primary: On-site, Secondary: Online)
Improving Performance of Convolutional Neural Network-Based Driver Behavior Recognition
Shengbiao Wang, Koji Iwano (Tokyo City Univ.)
This study investigates the automatic recognition of driver behaviors using images captured by in-vehicle cameras for th... [more] ME2023-90
pp.7-12
IIEEJ, AIT 2023-06-03
14:30
Tokyo TOKYO CITY UNIVERSITY
(Primary: On-site, Secondary: Online)
Video Encoding Scheme Using Autoencoder with Learning Decoded Image of Previous Frame
Koki Inoue, Atsushi Koike (Seikei Univ)
In recent years, research on image processing using deep learning has been active, and an image coding method using neur... [more] AIT2023-131
pp.27-30
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] 2022-05-20
16:40
Kumamoto Kumamoto University
(Primary: On-site, Secondary: Online)
3D Medical Image Segmentation Using 2.5D Deformable Convolutional CNN
Yuya Okumura, Kudo Hiroyuki, Takizawa Hotaka (Tsukuba Univ.)
An effective method to improve the accuracy of 3D medical image segmentation using deep learning is to use deformable co... [more]
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] 2022-05-20
17:00
Kumamoto Kumamoto University
(Primary: On-site, Secondary: Online)
Deformable registration of 3D medical images with Deep Residual UNet
Taiga Nakamura, Yuki Sato, Hiroyuki Kudo, Hotaka Takizawa (Univ. of Tsukuba)
(To be available after the conference date) [more]
AIT, IIEEJ, AS, CG-ARTS 2022-03-08
10:30
Online Online Towards the 3D reconstruction from illustration images
Shen Qian, Itoh Takayuki (Ocha Univ.)
This paper presents our trial of 3D model reconstruction from illustration images. Recovery of the depth information i... [more] AIT2022-100
pp.243-245
HI, IEICE-HIP, ASJ-H, VRPSY [detail] 2022-02-27
14:15
Online on line A time-series learning model for estimating the microsaccade segments from fixation eye movement data
Tomoaki Morimoto, Kousuke Nakagaki, Masahito Sakaguchi, Ryoma Kobata, Hisashi Yoshida, Takeshi Kohama (Kindai Univ.)
In this study, we constructed a time-series learning model with the structure of Bi-LSTM for fixation eye movement data ... [more] HI2022-4
pp.33-38
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
13:15
Online online Towards Universal Deep Image Compression
Koki Tsubota (UTokyo), Hiroaki Akutsu (Hitachi), Kiyoharu Aizawa (UTokyo)
In this paper, we investigate deep image compression towards universal usage. In image compression, it is desirable to b... [more]
BCT, IEICE-CS, IPSJ-AVM, IEICE-IE [detail] 2021-11-25
10:50
Online Online Acceleration of Neural Network Visualization RISE by Reduction of Masks
Tomoki Nakada, Imamura Kousuke (Kanazawa Univ.)
Recently, various techniques have been proposed to visualize the basis for decisions in image recognition using neural n... [more]
BCT, IEEE-BT 2021-09-03
13:35
Online Online Convolutional Radio Modulation Recognition Networks with Attention Models in Wireless Systems
Haohui Jia, Na Chen, Minoru Okada (NAIST)
In modern wireless systems, deep learning (DL) shows promising performance for wireless signal processing. DL model driv... [more] BCT2021-35
pp.1-4
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-18
13:50
Online Online Detecting axillary lymph node metastasis of breast cancer with FDG-PET/CT images based on attention mechanism
Zongyao Li, Ren Togo, Kenji Hirata (Hokkaido Univ.), Kazuhiro Kitajima (Hyogo Med.), Junki Takenaka (Hokkaido Univ.), Yasuo Miyoshi (Hyogo Med.), Kohsuke Kudo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Determination of axillary nodal status is significant to treatment of breast cancer. Typically, the diagnosis of axillar... [more] MMS2021-7 ME2021-7 AIT2021-7
pp.33-36
3DMT, IEICE-SIS, IPSJ-AVM [detail] 2020-06-04
14:00
Online G Square (Hakodate Community Plaza) An experimental comparison of CNN- and CRNN-CTC for automatic phrase speech recognition systems using a children's speech database
Yunzhe Wang, Yu Tian (Hokkaido Univ.), Yoshikazu Miyanaga (CIST), Hiroshi Tsutsui (Hokkaido Univ.)
Children's speech recognition is still a challenging issue. In the case of children's speeches, the accuracy of conventi... [more]
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
14:00
Hokkaido Hokkaido Univ.
(Cancelled)
An Image Transformation Network for Privacy-Preserving Deep Neural Networks
Hiroki Ito, Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro. Univ.)
We propose an image transformation network to generate visually-protected images for privacy-preserving deep neural netw... [more]
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
3DMT, HI 2019-03-08
14:40
Tokyo Kogakuin Univ. Tokyo Urban Tech Tower Campus Affective Voice Generator by using Generative Adversarial Networks
Takuya Asakura, Shunsuke Akama, Shoji Yamamoto (TMCIT)
A voice assistant device with internet connection has been spread in the world. An efficient use of this device is expec... [more] HI2019-58 3DIT2019-10
pp.37-40
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
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-20
16:15
Hokkaido Hokkaido Univ. [Invited Talk] Automatic Gaze Correction based on Deep Learning and Image Warping
Masataka Seo, Yamamoto Takahiro (Ritsumeikan Univ), Toshihiro Kitajima (Samsung), Chen Yen-Wei (Ritsumeikan Univ)
When people take a selfie photo or talk through a video chat system, they tend to look at the screen. Since the position... [more] MMS2019-25 HI2019-25 ME2019-47 AIT2019-25
pp.255-259
IEICE-EID, IEICE-SDM, IDY [detail] 2018-12-25
15:30
Kyoto   IGZO thin film synapse for brain type integrated system
Yuki Shibayama, Daiki Yamakawa, Keisuke Ikushima, Sumio Sugisaki, Mutsumi Kimura (Ryukoku Univ.), Yasuhiko Nakashima (Nara Institute of Science and Technology)
We are researching and developing neural networks using thin film devices.In this study, we fabricated In-Ga-Zn-O (IGZO)... [more] IDY2018-63
pp.49-52
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
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