Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] |
2024-06-21 11:45 |
Okinawa |
OIST |
Analysis of optimal model selection methods for a variety of datasets Arashi Ogata, Kazuki Oikawa (NTT) |
(To be available after the conference date) [more] |
|
AP |
2024-06-13 13:55 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Generation of Virtual City 3D Model and Analysis of Pathloss Distribution Rento Hagiwara, Koichi Ichige (Yokohama National Univ), Tatsuya Nagao, Takahiro Hayashi (KDDI Research) |
(To be available after the conference date) [more] |
|
NLP, CCS |
2024-06-06 10:20 |
Fukuoka |
West Japan General Exhibition Center AIM |
The Relationship between Power Laws in Neural Representation and Image Recognition Riku Matsumoto, Yasuhiro Tsuno (Ritsumeikan Univ.) |
(To be available after the conference date) [more] |
|
IMQ |
2024-05-24 14:25 |
Aichi |
Higashiyama Campus, Nagoya Univ. |
Image Quality Assessment and Analysis on Glossy and Painted of 3DCG Objects Based on Material Data Set of the Shitsukan Perception Standard Problem Norifumi Kawabata (Computational Imaging Lab) IMQ2024-2 |
Gloss is one of the component of ``Shitsukan''. Although humans perceive the luster of objects visually and sensuously o... [more] |
IMQ2024-2 pp.7-12 |
NLP |
2024-05-10 10:55 |
Kagawa |
Kagawa Prefecture Social Welfare Center |
Analysis of the role of latent variables in image classification in deep learning models Kenya Jin'no, Mizuki Dai, Haruki Wakasa, Hiroki Tamegai (Tokyo City Univ.) NLP2024-12 |
Deep learning-based image classification represents a significant advancement in enabling computers to identify the cont... [more] |
NLP2024-12 pp.58-62 |
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 |
IA, SITE, IPSJ-IOT [detail] |
2024-03-13 13:40 |
Okinawa |
Miyakojima City Future Creation Center (Primary: On-site, Secondary: Online) |
A Steganalysis of Image Steganography using Real Image Denoising Shinnosuke Toguchi, Takamichi Miyata (CIT) SITE2023-100 IA2023-106 |
Image steganography is a technique for embedding secret messages in images. SteganoGAN, one of the previous methods, use... [more] |
SITE2023-100 IA2023-106 pp.195-202 |
PRMU, IBISML, IPSJ-CVIM |
2024-03-03 09:00 |
Hiroshima |
Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Analysis of the Impact of Different Resolutions and Datasets on the Architecture Searched with PC-DARTS Kaisei Hara (Nagaoka Univ. of Technology/AIST), Kazuki Hemmi (Univ. of Tsukuba/AIST), Masaki Onisi (AIST/Univ. of Tsukuba) PRMU2023-57 |
In deep learning, image resolution is crucial to improve accuracy and generalizability. However, the research on the spe... [more] |
PRMU2023-57 pp.35-40 |
MI |
2024-03-04 10:46 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Automated musculoskeletal segmentation of torso CT images Sanaa Amina Gourine, Mazen Soufi, Yoshito Otake (NAIST), Yuto Masaki (NAIST-PSP Corporation), Yoko Murakami, Yukihiro Nagatani, Yoshiyuki Watanabe (Shiga Univ), Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ), Nobuhiko Sugano (Osaka Univ), Yoshinobu Sato (NAIST) MI2023-70 |
Musculoskeletal segmentation (MSK) in CT is helpful for several applications, including body composition analysis, biome... [more] |
MI2023-70 pp.122-126 |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-03-01 09:30 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Black-Box Adversarial Attack for Math Formula Recognition Model Haruto Namura, Masatomo Yoshida (Doshisha Univ.), Nicola Adami (UNIBS), Masahiro Okuda (Doshisha Univ.) EA2023-110 SIP2023-157 SP2023-92 |
Remarkable advances in deep learning have greatly improved the accuracy of image analysis. The progress of deep learning... [more] |
EA2023-110 SIP2023-157 SP2023-92 pp.289-293 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-20 10:15 |
Hokkaido |
Hokkaido Univ. |
Image Attractiveness Analysis with Explanation using Vision-Language Model Shun Yoshida, Kaede Shiohara, Toshihiko Yamasaki (UTokyo) ITS2023-61 IE2023-50 |
There has been research on making machines analyze the image attractiveness, and in recent years, further progress has b... [more] |
ITS2023-61 IE2023-50 pp.82-87 |
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 |
WIT, HI-SIGACI |
2023-12-07 13:00 |
Tokyo |
AIST Tokyo Waterfront (TBD) |
Development of a signature field guidance system for handwriting support of visually impaired individuals using image analysis Takuma Souji, Hirokazu Seki (CIT) WIT2023-31 |
In this study, we developed a signature field guidance system for the purpose of writing assistance for visually impaire... [more] |
WIT2023-31 pp.37-40 |
WIT, HI-SIGACI |
2023-12-07 14:25 |
Tokyo |
AIST Tokyo Waterfront (TBD) |
Development of a cooking utensil grasping support system for visually impaired people using image analysis Eiichiro Ihara, Hirokazu Seki (CIT) WIT2023-34 |
This study aims to realize a support system that enables visually impaired people to grasp the possible gripping positio... [more] |
WIT2023-34 pp.53-55 |
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 |
HIP |
2023-10-11 13:00 |
Kyoto |
Kyoto Keizai Center (Primary: On-site, Secondary: Online) |
Investigation of Subjective Quality in Taste Sense corresponding to Change of Image Features Yueying SHI, Masashi Kameda (Iwate Pref. Univ.) HIP2023-71 |
With the aim of improving the features of images, this research examines the effects of changes in the brightness and sa... [more] |
HIP2023-71 pp.53-58 |
DE, IPSJ-DBS, IPSJ-IFAT [detail] |
2023-09-22 13:25 |
Fukuoka |
Kitakyushu International Conference Center |
A Method of Generating Images to Represent Impressions of a Piece of Music Using the Text2Image Model Shoichi Sasaki, Taketoshi Ushiama (Kyushu Univ.) DE2023-26 |
In this study, we propose a method for automatically generating images that represent impressions of songs using informa... [more] |
DE2023-26 pp.89-94 |
IA |
2023-09-22 12:45 |
Hokkaido |
Hokkaido Univeristy (Primary: On-site, Secondary: Online) |
Development and Evaluation of 3D Spatial Sharing System by Sensor Fusion of LiDAR and RGB Camera Mana Nishigaki, Hiroshi Yamamoto (Ritsumeikan Univ.), Hideaki Miyaji (Ritsumeikan University) IA2023-25 |
With the recent spread of COVID-19, online communication methods are attracting attention. However, the existing methods... [more] |
IA2023-25 pp.89-94 |