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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| SC | 2023-06-03 10:35 |
Fukushima | UBIC 3D Theater, University of Aizu (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Understanding transfer learning for medical image classification. Dao Ngoc HOng, Paik Incheon (UoA) SC2023-9 |
Transfer learning is one of the critical solutions to deal with the problem of data scarcity, where the learning process... [more] | SC2023-9 pp.48-52 |
| MI | 2023-05-18 16:00 |
Aichi | Nagoya Congress Center | Correlation Between Grid Masks in an Explanation Method for Image Classification Kentaro Matsumoto, Yuji Ayatsuka (CRESCO) MI2023-5 |
One of the approaches to visualize the basis for image classification by machine learning is to use output values when c... [more] | MI2023-5 pp.14-18 |
| AP | 2023-05-12 15:30 |
Okinawa | Okinawa Gender Equality Center (Primary: On-site, Secondary: Online) |
On Classification Accuracy Improvement of Polarimetric Scattering Component Decomposition for PolSAR data Hiroyoshi Yamada, Masato Kawada, Ryoichi Sato (Niigata Univ.) AP2023-23 |
In polarimetric SAR (PolSAR) data analysis, one of popular techniques to extract target features is methods of polarimet... [more] | AP2023-23 pp.80-85 |
| NLP, MSS | 2023-03-17 16:05 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Lightweighting Noisy Student Semi-Supervised Learning by Applying MobileNet Yuga Morishima, Hidehiro Nakano (Tokyo City Univ.) MSS2022-108 NLP2022-153 |
Recently, Convolutional Neural Networks (CNNs) have attracted much attention in various fields such as image classificat... [more] | MSS2022-108 NLP2022-153 pp.220-224 |
| RCC, ISEC, IT, WBS | 2023-03-14 09:50 |
Yamaguchi | (Primary: On-site, Secondary: Online) |
A Proposal of Visible Light Communication System using Image Classifier based on Imaginary Images Masataka Naito, Tadahiro Wada, Kaiji Mukumoto (Shizuoka Univ.), Hiraku Okada (Nagoya Univ.) IT2022-70 ISEC2022-49 WBS2022-67 RCC2022-67 |
We have proposed a new method of information embedding in visible light communication by using an image classifier based... [more] | IT2022-70 ISEC2022-49 WBS2022-67 RCC2022-67 pp.13-18 |
| NC, MBE (Joint) |
2023-03-14 14:45 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Feature Extraction of Grasped Objects for Precise Robot Hand Control using Depth Image Satoshi Katayama, Motoi Matsuda, Naohiro Fukumura (Toyohashi Univ. of Tech) NC2022-105 |
In recent years, development of robots to support people has been promoted. To control a multi-fingered hand robot for e... [more] | NC2022-105 pp.78-83 |
| MI | 2023-03-06 17:04 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Rotation-Equivariant CNN for Medical Image Processing Applications Ryota Ogino, Kugler Mauricio, Tatsuya Yokota, Hidekata Hontani (NITech) MI2022-96 |
In this study, we report an attempt to use a Rotation-Equivariant CNN to organize image data whose rotation direction an... [more] | MI2022-96 pp.113-114 |
| MI | 2023-03-07 16:13 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Classification of endoscope images with specular reflection using CNN Shun Katsuyama, Masashi Fujii (Tottori Univ.), Kazutake Uehara (Yonago Coll.), Masaru Ueki, Hajime Isomoto, Katsuya Kondo (Tottori Univ.) MI2022-123 |
The endoscopic training system is required that checks whether the inspection points have been taken. In this report, we... [more] | MI2022-123 pp.199-204 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 11:15 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Dynamic Weight Scheduling for Long-tailed Visual Recognition Xinyuan Li (Ritsumeikan Univ.), Yu Wang (Hitotsubashi Univ.), Jien Kato (Ritsumeikan Univ.) PRMU2022-78 IBISML2022-85 |
For long-tailed image recognition tasks, re-weighting is effective to alleviate data imbalance by assigning higher weigh... [more] | PRMU2022-78 IBISML2022-85 pp.107-110 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-03 17:00 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Continual learning combining Replay and Parameter Isolation Methods Ryota Adachi, Toshikazu Wada (Wakayama Univ.) PRMU2022-121 IBISML2022-128 |
Deep Neural Networks (DNN) are used for various tasks such as image classification, but when a new task is trained on a ... [more] | PRMU2022-121 IBISML2022-128 pp.335-340 |
| SANE, SAT (Joint) |
2023-03-03 13:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
On Polarimetric Scattering Component Decomposition for PolSAR image by Using Random-rotated Dihedral Scattering Component Hiroyoshi yamada, Yuta Suzuki, Masato Kawada, Ryoichi Sato (Niigata Univ.) SANE2022-118 |
In polarimetry, SAR image classification, PolSAR, model-based scattering sower decomposition which decomposes data into ... [more] | SANE2022-118 pp.107-112 |
| EMM | 2023-03-02 16:00 |
Nagasaki | Fukue culture hall (Primary: On-site, Secondary: Online) |
[Invited Talk]
Image transformation with random numbers for reliable AI Hitoshi Kiya (TMU) EMM2022-87 |
The combined use of deep neural networks (DNNs) and images transformed with random sequences has given a new insight for... [more] | EMM2022-87 pp.107-109 |
| US | 2023-02-28 16:35 |
Osaka | Kindai University (Higashi-osaka) | CNN classification of parametric images using moments of ultrasound images for quantitative diagnosis of liver fibrosis Akiho Isshiki (Chiba Univ.), Dar-In Tai (CGMH), Po-Hsiang Tsui (Chang Gung Univ.), Kenji Yoshida, Tadashi Yamaguchi, Shinnosuke Hirata (Chiba Univ.) US2022-82 |
The progression of diffuse liver disease and the therapeutic effect can be evaluated by the estimation of liver fibrosis... [more] | US2022-82 pp.34-39 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-02-28 10:40 |
Okinawa | (Primary: On-site, Secondary: Online) |
Image reconstruction with a diffusion model for robust image classification against unknown degradation Teruaki Akazawa (Tokyo Metro. Univ.), Yuma Kinoshita (Tokai Univ.), Hitoshi Kiya (Tokyo Metro. Univ.) EA2022-83 SIP2022-127 SP2022-47 |
This paper presents an image reconstruction method with a diffusion model for robust image classification against image ... [more] | EA2022-83 SIP2022-127 SP2022-47 pp.49-54 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-21 10:45 |
Hokkaido | Hokkaido Univ. | Classification of illustration images by mood using a combination of supervised and unsupervised learning Keisuke Kubota, Masahiro Okuda (Doshisha Univ.) ITS2022-45 IE2022-62 |
With the spread of animation, games, and animated movies, users are increasingly drawing and posting illustrations on so... [more] | ITS2022-45 IE2022-62 pp.19-24 |
| IE | 2023-02-02 13:30 |
Tokyo | NII (Primary: On-site, Secondary: Online) |
Recognition Based on Imperfect Information Using Deep Learning Model
-- Estimating the Number of Blocks Included in Three-Dimensional Structure -- Takuto Nakazawa, Shigeru Kubota (Yamagata Univ.) IE2022-51 |
Even though the visual information obtained is imperfect, we can estimate a correct answer by using a knowledge that we ... [more] | IE2022-51 pp.1-5 |
| EMM | 2023-01-26 09:30 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Influence of Data Hiding in EtC-Image Classification with Vision Transformer Kosuke Abe, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) EMM2022-61 |
A privacy-preserving image classification method with the vision transformer (ViT) was proposed in which the accuracy of... [more] | EMM2022-61 pp.1-6 |
| CPSY, IPSJ-ARC | 2023-01-10 13:00 |
Online | Online | An Efficient Multi-Head Self-Attention using Neural ODE for FPGAs Ikumi Okubo, Keisuke Sugiura, Hiroki Kawakami, Hiroki Matsutani (Keio Univ.) CPSY2022-27 |
(To be available after the conference date) [more] | CPSY2022-27 pp.1-6 |
| MSS, SS | 2023-01-11 15:50 |
Osaka | (Primary: On-site, Secondary: Online) |
Improvement of Composite SVM in HSI Classification Tamura Akito, Kitamura Takuya (NIT) MSS2022-61 SS2022-46 |
In this paper, we propose an improved method of composite support vector machines for hyper-spectral image classificatio... [more] | MSS2022-61 SS2022-46 pp.96-100 |
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