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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 555  /  [Next]  
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
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