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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2023-03-06 13:15 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Improvement of Small Organ Accuracy in Multi-Organ Segmentation of Abdominal CT Images Using 2.5D Deformable Convolutional CNN Yuya Okumura, Hiroyuki Kudo, Hotaka Takizawa (Univ of Tsukuba) |
(To be available after the conference date) [more] | |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 10:25 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Blind deconvolution with non-smooth regularization via Bregman proximal DC algorithms Shota Takahashi (SOKENDAI), Mirai Tanaka, Ikeda Shiro (ISM) |
(To be available after the conference date) [more] | |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 11:25 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Binarization of Vision Transformer with Scaling Factors Shun Sato, Shun Sawada, Hidefumi Ohmura, Kouichi katsurada (TUS) |
(To be available after the conference date) [more] | |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-03 10:25 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
[Short Paper]
Local deformation feature extraction with Deformable Convolution Kazuki Kitajima, Seiichi Uchida (Kyushu Univ.) |
(To be available after the conference date) [more] | |
| CAS, CS | 2023-03-01 09:30 |
Fukuoka | (Primary: On-site, Secondary: Online) |
Modification and Comparison of Learning Sudoku with Convolutional Networks Koichiro Ishii, Hiroshi Tamura (Chuo Univ.) |
(To be available after the conference date) [more] | |
| RCS, SR, SRW (Joint) |
2023-03-03 09:30 |
Tokyo | Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
[Short Paper]
Split Learning Assisted Multi-UAV System In Image Classification Task Sun Tingkai, Wang Xiaoyan (Ibaraki Univ.), Masahiro Umehira (Nanzan Univ.) |
(To be available after the conference date) [more] | |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 11:00 |
Hokkaido | Hokkaido Univ. | Discussion and user study of displaying 360-degree video that follows RoI Yuuki Sawabe (UTokyo), Satoshi Ikehata (NII), Kiyoharu Aizawa (UTokyo) |
(To be available after the conference date) [more] | |
| IE | 2023-02-02 13:30 |
Tokyo | NII (Primary: On-site, Secondary: Online) |
Recognition of imperfect image based on deep learning
-- Estimating the number of 3-dimentional building blocks -- Takuto Nakazawa, Shigeru Kubota (Yamagata Univ.)  IE2022-51 |
Even though the visual information obtained is imperfect, we can estimate a correct answer by using a knowledge that we ... [more] | IE2022-51 pp.1-5 |
| NC, NLP | 2023-01-29 15:05 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Predictions and Attentions Acquired by Vision Transformer with Source-Target Attention from Dilated Convolutions on Small Data Sets Tatsuki Shimura, Katsumi Tadamura, Toshikazu Samura (Yamaguchi Univ) NLP2022-104 NC2022-88 |
Vision Transformer (ViT) requires large data sets during pre-training phase to acquire high classification accuracy on a... [more] | NLP2022-104 NC2022-88 pp.123-128 |
| ICTSSL, CAS | 2023-01-26 11:15 |
Tokyo | TBD (Primary: On-site, Secondary: Online) |
On Image Recognition Neural Networks \and Polynomial Approximation of Images Jiahang Chang, Kazuya Ozawa, Hideaki Okazaki (SIT) CAS2022-66 ICTSSL2022-30 |
In this report, we present a convolutional neural network that we have built ourselves for our research. Then, we discus... [more] | CAS2022-66 ICTSSL2022-30 pp.23-27 |
| EST | 2023-01-26 15:40 |
Okinawa | (Primary: On-site, Secondary: Online) |
Extension of DCP-FDTD method to the three-dimensional problem for the analysis of arbitrarily-shaped dispersive media Kazuma Takeya, Tetsuya Iwamoto, Jun Shibayama, Junji Yamauchi, Hisamatsu Nakano (Hosei Univ.) EST2022-86 |
We have extended the contour-path effective-permittivity technique to three-dimensional (3-D) problems, in which a reaso... [more] | EST2022-86 pp.64-69 |
| EST | 2023-01-27 09:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Traffic volume survey system installed on utility poles using piezosensors
-- Vehicle Passage Detection Technology -- Keisuke Kako, Akihiro Tsuno, Ichiru Miyahashi, Hideaki Kimura (Chubu Univ.) EST2022-89 |
Conventionally, traffic volume surveys conducted by the Ministry of Land, Infrastructure, Transport and Tourism (MLIT) a... [more] | EST2022-89 pp.78-83 |
| KBSE | 2023-01-20 13:00 |
Ishikawa | (Primary: On-site, Secondary: Online) |
A study for using deep learning inference results of program defects in code review checklists Kazuhiko Ogawa, Takako Nakatani (OUJ) KBSE2022-51 |
In system development, various efforts are made to improve the quality of programs. One of these efforts is code review... [more] |
KBSE2022-51 pp.46-51 |
| MBE, MICT, IEE-MBE [detail] | 2023-01-17 09:50 |
Saga | Oral Cytology Based on Representation Learning of Visually Salient Cells Kazuki Matsuo, Eiji Mitate, Tomoya Sakai (Nagasaki Univ.) MICT2022-44 MBE2022-44 |
We classify microscopically photographed cells for screening tests to find oral cancer in its early stages. Oral cancer ... [more] | MICT2022-44 MBE2022-44 pp.7-12 |
|
| IBISML | 2022-12-23 11:10 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
Enhancement of Audio Signals Using Learning from Positive and Unlabelled Data Nobutaka Ito, Masashi Sugiyama (UTokyo) IBISML2022-56 |
Audio signal enhancement (SE) is the task of extracting a desired class of sounds (a “signal”) from an observed sound mi... [more] | IBISML2022-56 pp.94-100 |
| HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa | Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Analyzing and Recognizing Synergetic Functions between Head Movements and Facial Expressions in Conversations Mai Imamura, Kazuki Takeda (YNU), Shiro Kumano (NTT), Kazuhiro Otsuka (YNU) |
In this paper, we propose machine-learning models for recognizing the synergetic functions between facial expressions an... [more] | |
| MBE, NC | 2022-12-03 11:00 |
Osaka | Osaka Electro-Communication University | Image Classification Using Gabor Filters as Preprocessing for CNNs Akito Morita, Hirotsugu Okuno (OIT) MBE2022-32 NC2022-54 |
Image preprocessing is a promising approach to improve accuracy in image classification using convolutional neural netwo... [more] | MBE2022-32 NC2022-54 pp.43-46 |
| NS, ICM, CQ, NV (Joint) |
2022-11-24 10:45 |
Fukuoka | Humanities and Social Sciences Center, Fukuoka Univ. + Online (Primary: On-site, Secondary: Online) |
Study on Training Data Generation for Estimating Spatial Loss Fields Yoshiaki Nishikawa (NEC), Takahiro Matsuda (TMU), Eiji Takahashi, Takeo Onishi, Toshiki Takeuchi (NEC) CQ2022-47 |
Spatial Loss Fields (SLFs) are maps quantifying the attenuation of radio signals in a monitored region. SLFs, which are ... [more] | CQ2022-47 pp.1-6 |
| PRMU | 2022-10-21 15:25 |
Tokyo | Miraikan - The National Museum of Emerging Science and Innovation (Primary: On-site, Secondary: Online) |
Features and Deep Learning Models Suitable for Speech Source Discrimination Method in Plural Voice User Interfaces Environment Kengo Maeda, Takahiro Yoshida (TUS) PRMU2022-27 |
Under the situation that plural devices equipped with a voice user interface exist in the user’s environment in the near... [more] | PRMU2022-27 pp.29-34 |
| EMCJ, MW, EST, IEE-EMC [detail] | 2022-10-13 09:05 |
Akita | Akita University (Primary: On-site, Secondary: Online) |
An estimation of magnetic coupling coefficient between parallel two MSLs using machine leaning of near field information Yusuke Sato, Sho Muroga, Hidefumi Kamozawa, Motoshi Tanaka (Akita Univ.) EMCJ2022-35 MW2022-81 EST2022-45 |
An estimation method of the magnetic coupling coefficient between printed-circuit-board-level lines using a near field i... [more] | EMCJ2022-35 MW2022-81 EST2022-45 pp.1-5 |
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