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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCC, ISEC, IT, WBS | 2024-03-14 09:55 |
Osaka | Osaka Univ. (Suita Campus) | Comparison of accuracy of classification methods using machine learning for imaged malware Kenta Usui, Hiroki Tanioka, Masahiko Sano, Kenji Matsuura, Tetsushi Ueta (Tokushima Univ.)  IT2023-114 ISEC2023-113 WBS2023-102 RCC2023-96 |
In recent years, the damage caused by malware has become more serious, and the increase in the number of variants of exi... [more] | IT2023-114 ISEC2023-113 WBS2023-102 RCC2023-96 pp.254-258 |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 09:50 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Hierarchical textile pattern aesthetic prediction using multi-task CNN Nonomi Yamashita (Kwansei Gakuin Univ.), Kensuke Tobitani (Univ. of Nagasaki), Miyuki Toga, Noriko Nagata (Kwansei Gakuin Univ.) IMQ2023-39 IE2023-94 MVE2023-68 |
The aim of this study is to construct a model for estimating impressions and emotions based on the hierarchical structur... [more] | IMQ2023-39 IE2023-94 MVE2023-68 pp.150-153 |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 11:00 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
[Invited Talk]
From Pixels to Precision: Passing into the Future of Super-Resolution Mastery Supatta Viriyavisuthisakul (PIM) IMQ2023-42 IE2023-97 MVE2023-71 |
Single Image Super-Resolution (SISR) involves reconstructing low-resolution images to enhance perceptual quality. Recent... [more] | IMQ2023-42 IE2023-97 MVE2023-71 p.165 |
| MI | 2024-03-03 16:42 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Using Label Uncertainty for Learning Cell Nuclei Type Classifier with Strongly Noisy Supervised Signals Shingo Koide, Mauricio Kugler, Tatsuya Yokota (NIT), Koichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi (Kurume Univ.), Noriaki Hashimoto (RIKEN), Ichiro Takeuchi (Nagoya Univ.), Hidekata Hontani (NIT) MI2023-57 |
In this study, we construct a type classifier for cell nuclei of malignant lymphomas. Labelling by type is not easy, eve... [more] | MI2023-57 pp.79-80 |
| EST | 2024-01-25 15:40 |
Kyoto | Kyoto University ROHM Plaza (Primary: On-site, Secondary: Online) |
Evaluation of Electric Field For Perception and Pain Thresholds by TMS Ryusei Moriyama, Sachiko Kodera (NITech), Tani Keisyke (Otemon Gakuin Univ), Satoshi Tanaka (Hamamatsu university School of Medicine), Akimasa Hirata (NITech) EST2023-110 |
In recent years, there has been a growing interest in non-invasive stimulation of the brain for medical treatment and di... [more] | EST2023-110 pp.61-66 |
| ICTSSL, CAS | 2024-01-25 11:45 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Comparison of transfer learning and fine tuning Ohata Shunsuke, Okazaki Hideaki (SIT) CAS2023-88 ICTSSL2023-41 |
This report examines the principal image recognition methods. First, we show the experimental results of image recogniti... [more] | CAS2023-88 ICTSSL2023-41 pp.31-33 |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Creating cover images using characteristic words from online novels and image generative AI Yuki Ishida, Tomoko Kajiyama (Hiroshima City Univ.), Shin'ichi Satoh (NII) |
Because many web novels do not have cover images that intuitively convey the content to readers, it is difficult to disc... [more] | |
| MI, MICT | 2023-11-14 15:20 |
Fukuoka | Generation of pseudo-CT images from phalanges CR images based on deep learning
-- Accuracy comparison using pix2pix and CycleGAN -- Rensuke Ueno, Takaharu Yamazaki (SIT), Kazuaki Tanaka (Neomedical Corporation), Keizo Fukumoto (Saitama Jikei Hospital) MICT2023-35 MI2023-28 |
In this study, we perform generation to pseudo-CT images from phalanges CR images using deep learning. For the image gen... [more] | MICT2023-35 MI2023-28 pp.41-44 |
|
| CCS | 2023-03-27 09:20 |
Hokkaido | RUSUTSU RESORT | Learning Commutative Vector Field in Latent Space of Deep Generative Model Takehiro Aoshima, Takashi Matsubara (Osaka Univ.) CCS2022-83 |
Deep generative models, such as generative adversarial networks (GANs), are known for generating high-quality images. Ho... [more] | CCS2022-83 pp.113-116 |
| NC, MBE (Joint) |
2023-03-14 16:15 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Detection of eye blink features : a comparison of using eyelid shape and electrooculogram Yuya Suzuki, Shin'ichiro Kanoh (SIT) MBE2022-66 |
Eye blink is an important source for detecting the mental state such as emotion and arousal level. Features of eye blink... [more] | MBE2022-66 pp.38-42 |
| EST | 2023-01-27 11:40 |
Okinawa | (Primary: On-site, Secondary: Online) |
Radar Detection of Multiple Walking People Using Image-Processing Technique and Generalized Likelihood Ratio Test Jianxuan Yang, Jianxin Yi (Wuhan Univ.), Takuya Sakamoto (Kyoto Univ.), Xianrong Wan (Wuhan Univ.) EST2022-95 |
This study presents a detection algorithm of extended radar targets using image features and achieves the detection of m... [more] | EST2022-95 pp.108-111 |
| HCS | 2023-01-21 10:25 |
Kyoto | Kyoto Institute of Technology (Primary: On-site, Secondary: Online) |
The effects of imagining and observing body movements on creative thinking Kairi Sugimoto, Katsumi Watanabe (Waseda Univ.) HCS2022-56 |
Divergent and convergent thinking in creativity are known to be influenced by body movement. In this study, we examined ... [more] | HCS2022-56 pp.7-11 |
| R | 2022-07-29 13:55 |
Hokkaido | (Primary: On-site, Secondary: Online) |
A Comparison Study on Image Captioning by VGG and YOLO Yan LYU, Qiangfu Zhao, Yong Liu (UoA) R2022-10 |
Image captioning is a task for generating a descriptive statement automatically for a given image by combining image pro... [more] | R2022-10 pp.7-12 |
| SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] | 2022-05-19 10:40 |
Kumamoto | Kumamoto University Kurokami Campus (Primary: On-site, Secondary: Online) |
N-white balancing: white balance adjustment for adjusting multi-illuminant scenes Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro. Univ.) SIP2022-5 BioX2022-5 IE2022-5 MI2022-5 |
This paper presents a novel white balance adjustment for multi-illuminant scenes, called ``N-white balancing.'' N is the... [more] | SIP2022-5 BioX2022-5 IE2022-5 MI2022-5 pp.25-30 |
| PRMU, IPSJ-CVIM | 2022-05-13 15:05 |
Aichi | Toyota Technological Institute | Automated original drawing tracing for animation Iori Shioya, Masayuki Kashima, Shinya Fukumoto, Mutsumi Watanabe (Kagoshima Univ.) PRMU2022-7 |
This paper proposes an automatic system for cleaning up images. The system attempts to improve the existing cleanup proc... [more] | PRMU2022-7 pp.36-41 |
| PRMU, IPSJ-CVIM | 2022-03-10 09:00 |
Online | Online | Deep Cascade Road Extraction Network: a Multi-task Method for Road Extraction Yubo Wang (Waseda Univ.), Zhao Wang, Yuusuke Nakano, Ken Nishimatsu (NTT), Katsuya Hasegawa (JAXA), Jun Ohya (Waseda Univ.) PRMU2021-60 |
In this work, we present an end-to-end cascade neural network model called Deep Cascade Road Extraction Network to extra... [more] | PRMU2021-60 pp.1-6 |
| KBSE | 2022-03-10 12:45 |
Online | Online (Zoom) | A Proposed Method for Detecting Presentation Failures Using Screenshots and DOM Analysis Takato Okajima (NIT), Takafumi Tanaka (Tamagawa Univ.), Atsuo Hazeyama (Gakugei Univ.), Hiroaki Hashiura (NIT) KBSE2021-54 |
In the mobile and web application, GUI visual is as specified be of importance. Because of that, many proposed of GUI vi... [more] | KBSE2021-54 pp.78-83 |
| EST | 2022-01-27 11:00 |
Online | Online | Research on anomaly detection using machine learning in external images of Optical Lens Tatsuki Ono, Takuto Ito, Tomoatsu Hasegawa, Hideaki Kimura (Chubu Univ.) EST2021-60 |
Appearance inspection is an important task for maintaining quality and is performed at various places in the manufacturi... [more] | EST2021-60 pp.19-22 |
| MI | 2022-01-27 16:39 |
Online | Online | [Short Paper]
Multiple Organ Detection from CT Images Based on Deep Learning
-- Fusion of 2D-CNN and Transformer -- Daiki Kanoh, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-89 |
The automatic recognition of multiple organs in 3D CT images and detecting organ positions are required for computer-aid... [more] | MI2021-89 pp.190-193 |
| SS, MSS | 2022-01-12 11:10 |
Nagasaki | Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Comparison of Classification Accuracy of Image Recognition Network for Tongues Diagnosis in Traditional Chinese Medicine Zhenyu An, Shunsuke Nakamura (Yamaguchi Univ.), Ren Wu (Yamaguchi Junior College), Mitsuru Nakata, Qi-Wei Ge (Yamaguchi Univ.) MSS2021-50 SS2021-37 |
The purpose of this paper is to develop a support system that automatically diagnoses the health status of viscera thro... [more] |
MSS2021-50 SS2021-37 pp.106-111 |
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