Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
RCC, ISEC, IT, WBS |
2024-03-13 - 2024-03-14 |
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 |
RCC, ISEC, IT, WBS |
2024-03-13 - 2024-03-14 |
Osaka |
Osaka Univ. (Suita Campus) |
Improving classification accuracy of imaged malware through data expansion Kaoru Yokobori, Hiroki Tanioka, Masahiko Sano, Kenji Matsuura, Tetsushi Ueta (Tokushima Univ.) IT2023-115 ISEC2023-114 WBS2023-103 RCC2023-97 |
Although malware-based attacks have existed for years,
malware infections increased in 2019 and 2020.
One of the reaso... [more] |
IT2023-115 ISEC2023-114 WBS2023-103 RCC2023-97 pp.259-264 |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 13:30 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Study on Leftovers Prediction from Food Images Yuita Arum Sari, Atsushi Nakazawa (Okayama University) IMQ2023-86 IE2023-141 MVE2023-115 |
Leftover analysis is a valuable tool used by dietitians and nutritionists to assess a patient's calorie intake in health... [more] |
IMQ2023-86 IE2023-141 MVE2023-115 pp.390-395 |
MI |
2024-03-03 09:41 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
A preliminary study on deep causal discovery model for image classification Ryohei Motoda, Megumi Nakao (Kyoto Univ.) MI2023-33 |
Although saliency map used in image classification can visualize the regions correlated with predicted class, it cannot ... [more] |
MI2023-33 pp.11-14 |
PRMU, IBISML, IPSJ-CVIM |
2024-03-03 16:30 |
Hiroshima |
Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Assessment of the Utility of Tumor Location Information in MR Image Classification of Tumors Tsukasa Nishinakagawa, Yoshinari Takeishi, Jun'ichi Takeuchi (Kyushu Univ.) IBISML2023-43 |
MRI, or magnetic resonance imaging, is a medical imaging technique widely used in various healthcare settings. It utiliz... [more] |
IBISML2023-43 pp.21-28 |
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 |
EMM |
2024-03-02 14:00 |
Overseas |
Day1:JEJU TECHNOPARK, Day2:JEJU Business Agency |
[Poster Presentation]
Classification of AI generated images by sparse coding Daishi Tanaka, Michiharu Niimi (KIT) EMM2023-89 |
In recent years, advancements in generative AI technologies have made it increasingly challenging for human vision to di... [more] |
EMM2023-89 pp.1-6 |
HCS |
2024-03-02 09:35 |
Shizuoka |
Tokoha University(Shizuoka-Kusanagi Campus) |
Classification of Profile Images for SNS based on Demographical information, Identifiable information, Traceability and Linkability Issei Kawamura, Sachiko Takagi (Tokiwa Univ.) HCS2023-89 |
(To be available after the conference date) [more] |
HCS2023-89 pp.7-12 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-19 10:45 |
Hokkaido |
Hokkaido Univ. |
Brightness Adjustment based Countermeasure against Adversarial Examples Takumi Tojo, Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) ITS2023-47 IE2023-36 |
Recently, image classification using deep learning AI has been used for in-vehicle AI, and its accuracy and response spe... [more] |
ITS2023-47 IE2023-36 pp.7-12 |
NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 09:00 |
Tokushima |
Naruto University of Education |
The Relationship Between Metrics in the Latent Variable Space and Image Classification Performance Haruki Wakasa, Kenya Jin'no (Tokyo City Univ.) NLP2023-99 MICT2023-54 MBE2023-45 |
In recent years, models based on convolutional neural networks (CNNs) have exhibited high performance in image classific... [more] |
NLP2023-99 MICT2023-54 MBE2023-45 pp.78-81 |
SIP, IT, RCS |
2024-01-19 13:30 |
Miyagi |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Problem of Adversarial Attacks on CNN-based Image Classifiers and Countermeasures Minoru Kuribayashi (Tohoku Univ.) IT2023-67 SIP2023-100 RCS2023-242 |
It is well-known that discriminative models based on deep learning techniques may cause misclassification if adversarial... [more] |
IT2023-67 SIP2023-100 RCS2023-242 p.204 |
NLP |
2023-11-28 13:50 |
Okinawa |
Nago city commerce and industry association |
Considerations on the distribution of latent variables in CNNs Mizuki Dai, Kenya Jin'no (Tokyo City Univ.) NLP2023-65 |
Abstract Fully comprehending the output decision mechanisms of neural networks is a critical challenge. This article foc... [more] |
NLP2023-65 pp.31-34 |
MI, MICT |
2023-11-14 13:00 |
Fukuoka |
|
Brain Disease Classification Based on Brain MRI Images Using 3D-CNN Daisuke Hayashi, Akio Nagasaka, Yuji Mochizuki, Takayuki Hayashi (Hitachi), Takefumi Ueno (NHO Hizen Psychiatric Center) MICT2023-29 MI2023-22 |
Schizophrenia and Alzheimer’s disease are brain diseases that cause structural changes in the brain. In this paper, we c... [more] |
MICT2023-29 MI2023-22 pp.15-20 |
MI, MICT |
2023-11-14 13:20 |
Fukuoka |
|
Medical image diagnosis support system with image anonymization based on deep learning techniques Katsuto Iwai, Ryuunosuke Kounosu (Toho Univ./AIST), Hirokazu Nosato (AIST), Yuu Nakajima (Toho Univ.) MICT2023-30 MI2023-23 |
When medical imaging AI models are hosted on cloud service there is a risk of sensitive medical images being leaked when... [more] |
MICT2023-30 MI2023-23 pp.21-24 |
SR |
2023-11-10 10:55 |
Miyagi |
(Primary: On-site, Secondary: Online) |
[Short Paper]
On Model Transfer with Deep Joint Source Channel Coding Katsuya Suto, Issa Matsumura, Junichiro Yamada (UEC) SR2023-58 |
Based on the source channel separation theorem, the current multimedia transfer system employs independently designed so... [more] |
SR2023-58 pp.61-63 |
MI |
2023-09-08 10:05 |
Osaka |
(Primary: On-site, Secondary: Online) |
[Short Paper]
Construction of Cell Nucleus Classifier using Complementary-Label Learning towards the Quantification of Grading for Follicular Lymphoma Ryoichi Koga, Mauricio Kugler, Tatsuya Yokota (NIT), Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi (Kurume Univ.), Noriaki Hashimoto (RIKEN), Ichiro Takeuchi (Nagoya Univ.), Hidekata Hontani (NIT) MI2023-14 |
In this paper, we report the cell type classification from a pathological image toward the subtype classification of mal... [more] |
MI2023-14 pp.1-2 |
MI |
2023-09-08 11:20 |
Osaka |
(Primary: On-site, Secondary: Online) |
A Study on Identifying Gender Differences Using Deep Learning from Retinal Fundus Images Shota Tsutsui (Waseda Univ.), Ichiro Maruko, Moeko Kawai (TWMU), Yoichi Kato, Jun Ohya (Waseda Univ.) MI2023-17 |
Previous studies show that a properly designed and trained deep learning algorithm is capable to identify the gender of ... [more] |
MI2023-17 pp.8-11 |
SIP |
2023-08-07 12:50 |
Osaka |
Osaka Univ. (Suita) Convention Center (Primary: On-site, Secondary: Online) |
An Extension of Image Encryption for Vision Transformer Considering Privacy Protection Haiwei Lin, Shoko Imaizumi (Chiba Univ.), Kiya Hitoshi (Tokyo Metropolitan Univ) SIP2023-46 |
In this paper, we propose an extended framework of access control for Vision Transformer (ViT).
The previous study acc... [more] |
SIP2023-46 pp.1-6 |
SIP |
2023-08-07 13:10 |
Osaka |
Osaka Univ. (Suita) Convention Center (Primary: On-site, Secondary: Online) |
A Perceptual Collation Method for Color Halftone Images Using Vision Transformer Daiki Fujikawa, Shoko Imaizumi, Takahiko Horiuchi (Chiba Univ.) SIP2023-47 |
We propose an automatic collation method based on human perception in this paper.
The collation target of the propose... [more] |
SIP2023-47 pp.7-12 |
AP, SANE, SAT (Joint) |
2023-07-12 09:50 |
Hokkaido |
The Citizen Activity Center (Primary: On-site, Secondary: Online) |
A Universal Method of Dataset Building for SAR Image Land-use Land-cover Classification and the Evaluation Jing-Yuan Wang, Josaphat Tetuko Sri Sumantyo (Chiba Univ.) SANE2023-21 |
Because the awesome characteristics are shown by SAR, the images are widely used in remote sensing fields and various ap... [more] |
SANE2023-21 pp.1-6 |