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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2023-03-06 09:57 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Multi-label multi-class estimation of pathology in high-resolution chest CT images using SRGAN Tetsuya Asakawa, Riku Tsuneda, Yuki Sugimoto (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT)  MI2022-76 |
The purpose of this research, three pathologies (thickening, calcification, and cavitation) were accurately estimated as... [more] | MI2022-76 pp.14-19 |
| 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 Method and Parameter Isolation Method 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 |
| 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. | A Note on Multi-label Image Classification in Animation Illustration Considering Hierarchical Relationships of Attributes Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a multi-label classification of animated illustrations considering the hierarchical relationships of... [more] | |
| 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 of imperfect image based on deep learning
-- Estimating the number of 3-dimentional building blocks -- 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 |
| IBISML | 2022-12-22 15:30 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
[Short Paper]
Semi supervised image classification using unreliable pseudo label Jihong Hu, Yinhao Li, Yen-Wei Chen (Ritsumeikan Univ.) IBISML2022-47 |
Semi-supervised learning (SSL), which automatically annotates unlabeled data with pseudo labels during training, has ach... [more] | IBISML2022-47 pp.24-29 |
| SANE | 2022-12-16 14:15 |
Nagasaki | Nagasaki Public Hall (Primary: On-site, Secondary: Online) |
Land Cover Classification for Polarimetric SAR Images Based on Vision Transformer Hongmiao Wang, Danwei Lu (Tsinghua Univ.), Junjun Yin (USTB), Jian Yang (Tsinghua Univ.) SANE2022-83 |
Deep learning methods have been widely studied for polarimetric synthetic aperture radar (PolSAR) land cover classificat... [more] | SANE2022-83 pp.100-104 |
| PRMU | 2022-12-16 14:10 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Sampling Strategy in Data Pruning Ryota Higashi, Toshikazu Wada (Wakayama Univ.) PRMU2022-48 |
Data Pruning is a method of selecting the training data out of an entire training dataset so as to keep the accuracy aft... [more] | PRMU2022-48 pp.85-90 |
| PRMU | 2022-12-16 14:55 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
On a difficulty of TextVQA Koki Nakamura, Seiichi Uchida (Kyushu Univ.) PRMU2022-51 |
Text Visual Question Answering (TextVQA) is a task that uses textual information in images to generate natural language ... [more] | PRMU2022-51 pp.100-105 |
| HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa | Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Classification method of room sound environment using spectrogram images and its real environment evaluation Shota Sano (KAIT), Azusa Takahashi, Keisuke Hasegawa (JSP), Yuusuke Kawakita, Tsuyoshi Miyazaki, Hiroshi Tanaka (KAIT) |
There are various sound sources in a room, and various applications such as monitoring a living situation can be expecte... [more] | |
| RCC, ITS, WBS | 2022-12-14 11:30 |
Shiga | Ritsumeikan Univ. BKC (Primary: On-site, Secondary: Online) |
A fundamental study of a drone classification method applying CNN to range and Doppler images obtained by a millimeter-wave fast chirp MIMO radar Masashi Kurosaki, Kenshi Ogawa, Ryohei Nakamura, Hisaya Hadama (NDA) WBS2022-46 ITS2022-22 RCC2022-46 |
In this paper, we propose a method to classifying various drones from range profile and micro Doppler images of a drone ... [more] | WBS2022-46 ITS2022-22 RCC2022-46 pp.65-70 |
| MBE, NC | 2022-12-03 11:00 |
Osaka | Osaka Electro-Communication University | Image Classification Using Gabor Filters as Preprocessing for CNNs Akito Morita, Hirotsugu Okuno (OIT) MBE2022-32 NC2022-54 |
Image preprocessing is a promising approach to improve accuracy in image classification using convolutional neural netwo... [more] | MBE2022-32 NC2022-54 pp.43-46 |
| MI | 2022-09-15 15:15 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Learning of Squamous Cell Image Classification Model Using Preference Learning to Assist Cervical Cytology Yuta Nambu (Future Univ. Hakodate), Tasuku Mariya, Syota Shinkai, Mina Umemoto, Hiroko Asanuma, Yoshihiko Hirohashi, Tsuyoshi Saito, Toshihiko Torigoe (Sapporo Medical Univ.), Ikuma Sato, Yuichi Fujino (Future Univ. Hakodate) MI2022-62 |
To support cervical cell diagnosis, Various classification methods of cervical cell images using machine learning have b... [more] | MI2022-62 pp.53-58 |
| PRMU | 2022-09-14 11:00 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Disease and severity classification of coffee leaf images by global low-level feature aggregation network Takuhiro Okada, Satoshi Iizuka, Kazuhiro Fukui (Univ. of Tsukuba) PRMU2022-14 |
Coffee leaf disease is one of the most important problems in coffee production. It is very important in the coffee produ... [more] | PRMU2022-14 pp.25-30 |
| ICD, SDM, ITE-IST [detail] | 2022-08-10 16:00 |
Online | IC with Integrated Imager and Ultra-Low Latency All-Digital In-Imager 2D Binary Convolutional Neural Network Accelerator for Image Classification Wang Ruizhi, Takamiya Makoto (The Univ. of Tokyo) SDM2022-53 ICD2022-21 |
In the field of real-time image recognition, the computing latency of convolutional neural network become an issue. In t... [more] | SDM2022-53 ICD2022-21 pp.87-92 |
|
| IN, CCS (Joint) |
2022-08-04 10:20 |
Hokkaido | Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
Consideration of the structure of CNN models with high image classification performanc Mizuki Dai, Kenya Jinno (Tokyo City University) CCS2022-27 |
In recent years, Transformer-based models such as ViT have shown remarkable performance in image recognition using Deep ... [more] | CCS2022-27 pp.6-9 |
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