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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IPSJ-CVIM, IPSJ-CGVI, IPSJ-DCC | 2024-11-29 11:25 |
Fukui | (Primary: On-site, Secondary: Online) |
Self-supervised Contrastive Learning for Remote Sensing Imagery with Perlin noise injection Riku Okazawa, Eisaku Maeda (Tokyo Denki Univ.)  PRMU2024-11 |
With the increasing use of satellites, the application of remote sensing (RS) imagery is rapidly advancing. Deep learnin... [more] | PRMU2024-11 pp.19-24 |
| SRW, SeMI (Joint) |
2024-11-28 16:40 |
Tokyo | Tokyo Univ. of Science Katsushika Campus (Primary: On-site, Secondary: Online) |
[Short Paper]
Image Classification Wearable System Combining Depth and RGB Cameras for Various Illumination Conditions Reima Yamazaki (TDU), Zhijie Xie (Science Tokyo), Shuji Ohji (Chudenko), Masayuki Iwai (TDU) SRW2024-35 SeMI2024-47 |
According to an analysis of occupational accidents by the Ministry of Health, Labour and Welfare (MHLW), the number of a... [more] | SRW2024-35 SeMI2024-47 pp.41-46 |
| MIKA (3rd) |
2024-10-28 15:40 |
Okayama | Okayama Convention Center | [Poster Presentation]
Classification Problem for New-typed Malware Using MAML Sho Washika, Tomotaka Kimura, Jun Cheng (Doshisha Univ.) |
In this presentation, we consider the problem of classifying new types of malware using MAML (Model Agnostic Meta Learni... [more] | |
| ICTSSL, IEE-SMF, IN, NWS | 2024-10-11 13:30 |
Hiroshima | (Primary: On-site, Secondary: Online) |
Comparison of Effects of VLM-based Image-to-Text on Machine Classifications for Visualizing Tourism Tweets as Instances Yuto Fujidai, Shun Hattori, Wataru Sunayama (THE UNIVERSITY OF SHIGA PREFECTURE) IN2024-53 |
One potential application of travel activity data is visualization, which can aid in the decision-making process for new... [more] | IN2024-53 pp.60-64 |
| NC, MBE (Joint) |
2024-09-27 13:25 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Improved image classification models using deep learning for image classification of young sorghum and young poaceae weeds Ryoga Inui, Tadayoshi Horita, Masakazu Akiba (PTU) NC2024-32 |
The application of AI in agriculture is beneficial for improving work efficiency, and there are numerous preproposed st... [more] |
NC2024-32 pp.1-6 |
| EMM, ITE-ME, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] | 2024-09-05 10:30 |
Hiroshima | Hiroshima Institute of Technology (Primary: On-site, Secondary: Online) |
Image Classification of Natural Objects and Man-Made Objects Using Deep Learning
-- Classification of Real Dogs and Stuffed Dogs -- Takuro Ogasawara, Kanta Tachibana, Naiwala P. Chandrasiri (Kogakuin Univ.) LOIS2024-21 IE2024-27 EMM2024-77 |
To acquire comprehensive insights into distinguishing natural from man-made objects, we conducted image classification u... [more] | LOIS2024-21 IE2024-27 EMM2024-77 pp.52-57 |
| IN, CCS (Joint) |
2024-07-30 12:00 |
Hokkaido | Moerenuma Park Glass Pyramid | Investigation of Feature Maps Influencing Class Identification in Image Classification Model Haruki Wakasa, Kenya Jin'no (Tokyo City Univ.) CCS2024-39 |
In recent years, the performance of image recognition based on deep learning has rapidly improved and is being applied i... [more] | CCS2024-39 pp.56-59 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-20 16:30 |
Okinawa | OIST | Performance Evaluation of Quantized MLP-Mixer Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) NC2024-11 IBISML2024-11 |
MLP-Mixer is an image classification model consisting only of multi-layer perceptrons, and is competitive with the lates... [more] | NC2024-11 IBISML2024-11 pp.73-78 |
| 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) NC2024-18 IBISML2024-18 |
As the application of AI expands, more and more AI models are being generated for datasets with various domains and comp... [more] | NC2024-18 IBISML2024-18 pp.113-120 |
| ICSS, IPSJ-SPT | 2024-03-21 16:10 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
Considerations on Differential Privacy Mechanisms in MNIST Naoki Kawahara, Pengxuan Wei, Ryunosuke Higashi, Kenta Okada, Tatsuhiro Yamatsuki, Atsuko Miyaji (Osaka Univ.) ICSS2023-79 |
In recent years, data utilization technologies, including machine learning, have been steadily advancing. One means of p... [more] | ICSS2023-79 pp.71-78 |
| 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 The 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 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 |
| CQ, CBE (Joint) |
2024-01-26 13:40 |
Kumamoto | Kurokawa-Onsen (Primary: On-site, Secondary: Online) |
Image analysis technology for estimating the optimum tomato harvest timing and developed AI camera Yasuhiro Okabe, Takefumi Hiraguri, Keita Endo, Naoki Yamada (NIT) CQ2023-66 |
If it were possible to mechanically estimate when tomatoes should be harvested timing, it would make harvesting easier f... [more] | CQ2023-66 pp.76-81 |
| 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 |
| 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 |
| PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI | 2023-11-16 16:50 |
Tottori | (Primary: On-site, Secondary: Online) |
On Food Plant Classification from Luehdorfia Japonica Images using Multi-label Classification ABN Tsubasa Hirakawa, Takaaki Arai, Takayoshi Yamashita, Hironobu Fujiyoshi, Yuichi Oba, Hiromichi Fukui (Chubu Univ.), Masaya Yago (Tokyo Univ.) PRMU2023-27 |
Butterfly is a familiar taxon. Because of the abundance of specimens and the ease of comparison between specimens, regio... [more] | PRMU2023-27 pp.62-67 |
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