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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 476  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2023-03-06
(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
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
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
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
(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]
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
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
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
NC, NLP 2023-01-29
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
ICTSSL, CAS 2023-01-26
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
EST 2023-01-26
(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
EST 2023-01-27
(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
KBSE 2023-01-20
(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]
MBE, MICT, IEE-MBE [detail] 2023-01-17
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
IBISML 2022-12-23
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
- 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
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
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
PRMU 2022-10-21
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
EMCJ, MW, EST, IEE-EMC [detail] 2022-10-13
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
 Results 1 - 20 of 476  /  [Next]  
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