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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLC, IPSJ-NL | 2023-03-18 11:45 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
Detection of Parkinson's disease patients from interview data using pre-trained language models Aiichiro Hayatsu, Ryohei Sasano, Koichi Takeda (Nagoya Univ.)  NLC2022-24 |
It is estimated that Parkinson’s disease (PD) affects 150,000 people in Japan, and the number of patients increases as s... [more] | NLC2022-24 pp.28-31 |
| NLC, IPSJ-NL | 2023-03-18 15:40 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
An Experimental Analysis of Sub-tasks for Multi-task Learning-based Text Classification Yusuke Kimura (Doshisha Univ.), Takahiro Komamizu (Nagoya Univ.), Kenji Hatano (Doshisha Univ.) NLC2022-26 |
Multi-task learning, in which a phrase extraction such as key phrase extraction and named entity extraction is chosen fo... [more] | NLC2022-26 pp.38-43 |
| 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 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 |
| RCS, SR, SRW (Joint) |
2023-03-01 10:25 |
Tokyo | Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
A Novel DNN-based CSI Feedback with Quantization for FDD Massive MIMO Systems Junjie Gao, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.), Gui Guan (NJUPT) RCS2022-252 |
Accessing the accurate downlink channel state information (CSI) is essential to take full advantage of frequency divis... [more] |
RCS2022-252 pp.31-35 |
| RCS, SR, SRW (Joint) |
2023-03-01 10:50 |
Tokyo | Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
DNN-based Multi-class Classification for CDL Channels Liu Jingyu, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Unvi.) RCS2022-253 |
Transfer learning-based methods for Channel State Information (CSI) feedback can achieve a good CSI reconstruction matri... [more] | RCS2022-253 pp.36-41 |
| 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 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 |
| ICTSSL, CAS | 2023-01-26 15:20 |
Tokyo | TBD (Primary: On-site, Secondary: Online) |
A Packet Classification Method Fusing HyperCuts and Run-Based Tries Taiga Kobayashi, Kenji Mikawa (Maebashi Institute of Tech.) CAS2022-74 ICTSSL2022-38 |
In packet classification, filtering algorithms are required to have both fast filtering processing ability and flexible ... [more] | CAS2022-74 ICTSSL2022-38 pp.67-72 |
| 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 15:00 |
Osaka | (Primary: On-site, Secondary: Online) |
Proposal of expanded STRIM and its application to a real-world dataset Taketo Nishio, Tetsuro Saeki (Yamaguchi Univ.), Yuichi Kato (Shimane Univ.) MSS2022-59 SS2022-44 |
We have previously proposed a statistical test rule induction method (STRIM), which induces the causality by if-then rul... [more] | MSS2022-59 SS2022-44 pp.84-89 |
| HIP | 2022-12-23 14:00 |
Miyagi | Research Institute of Electrical Communication (Primary: On-site, Secondary: Online) |
Estimate students' concentration level by using facial expression Guan-yun Wang, Hikaru Nagata, Yasuhiro Hatori, Yoshiyuki Sato, Chia-huei Tseng, Satoshi Shioiri (Tohoku Univ.) HIP2022-70 |
Concentration and learning performance of all the students are difficult to track throughout courses. The study recruite... [more] | HIP2022-70 pp.65-69 |
| EA, US (Joint) |
2022-12-22 16:50 |
Hiroshima | Satellite Campus Hiroshima | [Poster Presentation]
Study on sound localization accuracy in long range using narrow distance microphone arrays. Yosui Miyata, Yoshikazu Koike, Wangwiwattana Sittichai, Yutaka Yamazaki, Junpei Shibata, Masaki Huruya (SIT) EA2022-66 |
A lot of researchers already have reported sound localization using sound direction-of-arrival estimation(DOA) like MUSI... [more] | EA2022-66 pp.32-35 |
| 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 |
| AI | 2022-12-21 10:00 |
Fukuoka | On the relationship between lyricist-artist entropy and lyricist classification difficulty Mitsuki Morita, Masato Kikuchi, Tadachika Ozono (NITech) AI2022-33 |
Determining a lyricist of a lyric is a more difficult task than an author of a novel. A lyric may contain a mixture of i... [more] | AI2022-33 pp.1-6 |
|
| 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 |
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