| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| ME |
2022-02-12
10:45 |
Online |
online |
Study on Deep Learning Reconstruction of MRI Complex Images Using Real-value CNN
Itona Fukatsu, Kazuki Yamato, Satoshi Ito (Utsunomiya Univ.) |
Application of compressed sensing has been applied to speed up the data acquisition time for MR imaging. In recent years... [more] |
ME2022-7
pp.25-27 |
| 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] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2021-03-08
13:30 |
Online |
Online |
An Experimental Study on Recognizing Kuzushiji using Deep Learning
Fumiya Masuda, Syuhei Sato, Shangce Gao, Zheng Tang (Univ. of Toyama) |
Kuzushiji is a typeface used in ancient documents, and has a characteristic of fluent handwriting with a brush. Ancient ... [more] |
AIT2021-90
pp.205-206 |
| BCT, IEEE-BT |
2022-02-17
13:20 |
Online |
TBD |
Channel Estimation to Mitigate Channel Aging in Massive MIMO with Pilot Contamination
Hiroki Hirose, Tomoaki Ohtsuki (Keio Univ.) |
In a massive multiple-input mltiple-output (MIMO) system based on time division duplex (TDD), the channel state informat... [more] |
BCT2021-12
pp.13-16 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
16:15 |
Online |
Online |
A Note on Cross-domain Recommendation Based on Multilayer Graph Analysis with Visual Features
Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa (Hokkaido Univ.), Satoshi Asamizu (NIT, Kushiro College), Miki Haseyama (Hokkaido Univ.) |
In this paper, we improve the accuracy of cross-domain recommendation methods, which have been recently studied as a sol... [more] |
MMS2021-12 ME2021-12 AIT2021-12
pp.59-63 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
14:50 |
Online |
Online |
Production and Evaluation of Data Set for Semantic Segmentation of 3D CG Image by H.265/HEVC
Norifumi Kawabata (Tokyo Univ. of Science) |
As one of purpose of study on image segmentation, we are able to consider whether between object and background region c... [more] |
|
| IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] |
2020-05-29
14:30 |
Online |
Online |
A method for analyze causes of deterioration of predict quality when Deep Learning is applied to instance segmentation
Tomonori Kubota, Takanori Nakao, Masafumi Katoh, Eiji Yoshida, Hidenobu Miyoshi (Fujitsu Lab.) |
In this paper, we propose a method to analyze the cause of deterioration of prediction accuracy in instance segmentation... [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] |
|
| BCT, IEEE-BT |
2020-02-20
14:15 |
Shiga |
|
Learning-Based Channel Estimation for Massive MIMO with Pilot Contamination and Its Impact of Model Mismatch in Training
Hiroki Hirose, Tomoaki Ohtsuki (Keio Univ.) |
In massive multiple-input multiple-output (MIMO), a base station (BS) needs accurate estimation of channel state informa... [more] |
BCT2020-24
pp.13-16 |
| ME |
2020-02-08
14:45 |
Kanagawa |
Kanto Gakuin University |
Convolutional Neural Network-based bird detection and species recognition from images automatically captured in real environment
Tiankuang Li, Hiroki Kuroda, Wataru Kitamura, Koji Iwano (Tokyo City Univ.) |
Recently, "bird baths" have been installed in various places with the aim of conserving wild birds. In this research, we... [more] |
ME2020-26
pp.89-92 |
| 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
13:15 |
Hokkaido |
Hokkaido Univ. |
A Note on Gastritis Detection from Gastric X-ray Images via Transfer Learning Approach
Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method for gastritis detection from gastric X-ray images via a transfer learning approach using a ... [more] |
MMS2019-37 HI2019-37 ME2019-59 AIT2019-37
pp.315-318 |
| 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-EID, IEICE-SDM, IDY [detail] |
2018-12-25
15:45 |
Kyoto |
|
Neural network using Bi3.25La0.75Ti3O12 thin film for synapse
Yuta Miyabe, Jumpei Shimura, Homare Yoshida, Isato Ogawa (Ryukoku Univ.), Kenichi Haga, Eisuke Tokumitsu (JAIST), Mutsumi Kimura (Ryukoku Univ.) |
The neural network (NN) is an information processing model that imitate the human brains. We are conducting research to ... [more] |
IDY2018-64
pp.53-56 |
| IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] |
2018-02-15
11:15 |
Hokkaido |
Hokkaido Univ. |
A Note on Recurrent Neural Network-based Tactics Estimation in Soccer Videos
Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method that estimates team tactics in soccer videos by a recurrent neural network.
In general, pl... [more] |
MMS2018-9 HI2018-9 ME2018-9 AIT2018-9
pp.131-135 |
| 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 |
| IEICE-MRIS, MMS |
2017-10-19
13:45 |
Niigata |
Kashiwazaki energy hall, Niigata |
[Invited Talk]
Analog spintronics devices and its application to artificial neural networks
Hisanao Akima, William Borders, Shunsuke Fukami, Satoshi Moriya, Shouta Kurihara, Aleksandr Kurenkov, Yoshihiko Horio, Shigeo Sato, Hideo Ohno (Tohoku Univ.) |
Developing dedicated integrated circuits operating with low power consumption is indispensable to realize a large scale ... [more] |
|
| ME, AIT, IEICE-IE [detail] |
2017-10-06
08:30 |
Nagasaki |
|
Neural network-based estimation of degree of feeling that natural objects appear in photographic images
Manami Sasaki, Koji Iwano (Tokyo City Univ.) |
Recently, it is expected that the systems for automatically adding the suitable music to a target image will be develope... [more] |
ME2017-109 AIT2017-168
pp.75-80 |