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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CNR, BioX | 2024-02-29 15:00 |
Tokyo | NHK Science & Technology Research Laboratories (Primary: On-site, Secondary: Online) |
Implementation and Evaluation of Privacy-Preserving Image Transformation Methods for Person Re-identification Junpei Yamaguchi, Hajime Nada, Yumo Ouchi, Narishige Abe (Fujitsu)  BioX2023-73 CNR2023-40 |
Advances in machine learning have enabled high-accuracy tracking of individuals using surveillance cameras, making the d... [more] | BioX2023-73 CNR2023-40 pp.18-23 |
| PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM | 2024-01-25 10:03 |
Kanagawa | Keio Univ. (Hiyoshi Campus) | Estimation of 3D Coordinates of Fingertips using Contrastive Embeddings from Hand Images Tatsuya Abe, Takeshi Umezawa, Noritaka Osawa (Chiba Univ.) PRMU2023-40 |
This study evaluated a method for estimating the 3D coordinates of fingertips from hand images when manipulating objects... [more] | PRMU2023-40 pp.7-12 |
| PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI | 2023-11-17 14:40 |
Tottori | (Primary: On-site, Secondary: Online) |
Diffusion-based Geometric Unwarping and Illumination Correction for Document Images Sota Imahayashi, Guoqing Hao, Satoshi Iizuka, Kazuhiro Fukui (Univ. of Tsukuba) PRMU2023-36 |
This study proposes a method to improve the visibility of document images by correcting distortions and re-illuminating ... [more] | PRMU2023-36 pp.113-118 |
| IBISML | 2023-09-08 13:25 |
Osaka | Osaka Metropolitan University (Nakamozu Campus) (Primary: On-site, Secondary: Online) |
Consideration of Negative Samples in Contrastive Learning Daiki Ishiguro, Tomoko Ozeki (Tokai Univ.) IBISML2023-28 |
Contrastive learning has achieved accuracy comparable to supervised learning. In this method, the transformed image pair... [more] | IBISML2023-28 pp.16-21 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2023-06-23 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Generation of colored subtitle images based on emotional information of speech utterances Fumiya Nakamura (Kobe Univ.), Ryo Aihara (Mitsubishi Electric), Ryoichi Takashima, Tetsuya Takiguchi (Kobe Univ.), Yusuke Itani (Mitsubishi Electric) SP2023-11 |
Conventional automatic subtitle generation systems based on speech recognition do not take into account paralinguistic i... [more] | SP2023-11 pp.54-59 |
| SIS, IPSJ-AVM [detail] | 2023-06-15 13:00 |
Shimane | NIT, Matsue College (Primary: On-site, Secondary: Online) |
A Proposal of Hue Preserving Unsharp Masking Without Gamut Problem Mashiho Mukaida, Noriaki Suetake (Yamaguchi Univ.) SIS2023-4 |
Unsharp masking is a common method of image sharpening. If unsharp masking is applied to each RGB component of a color i... [more] | SIS2023-4 pp.19-24 |
| SANE | 2023-05-23 11:00 |
Kanagawa | Information Technology R & D Center, MITSUBISHI Electric Corp. (Primary: On-site, Secondary: Online) |
Theoretical Study on Bistatic Circular SAR Image Reconstruction Takuma Watanabe (FSI) SANE2023-5 |
Circular synthetic aperture radar (CSAR) is a type of imaging radar in which the radar-carrying platform moves along a c... [more] | SANE2023-5 pp.24-29 |
| SANE | 2023-05-23 15:40 |
Kanagawa | Information Technology R & D Center, MITSUBISHI Electric Corp. (Primary: On-site, Secondary: Online) |
Radar Cross-Section of Point Source Groups Envisaging Chaff Clouds Using Near-Field to Far-Field Transformation Hirokazu Kobayashi (Electromagnetic Wave System Lab.), Yousuke Aoi, Hirohisa Oda (SOGO) SANE2023-13 |
A theoretical study for the radar cross sections (RCS) of chaff clouds is discussed using a software code that incorpora... [more] | SANE2023-13 pp.72-77 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 17:30 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
A Study on Data Augmentation by Pixel Value Transformation for Product Image Retrieval DNN Yu Okamoto, Masaki Kishibe, Toshikazu Wada (Wakayama Univ.) PRMU2022-94 IBISML2022-101 |
We are developing a product image retrieval DNN for supporting shelving allocation tasks. To train the DNN, product imag... [more] | PRMU2022-94 IBISML2022-101 pp.181-186 |
| 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 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 13:15 |
Hokkaido | Hokkaido Univ. | Semantic-Consistent Style Transfer with Visual Transformers Jianbo Wang (UTokyo), Huan Yang, Jianlong Fu (MSR), Toshihiko Yamasaki (UTokyo), Baining Guo (MSR) ITS2022-68 IE2022-85 |
Image style transfer has drawn increasing attention recently. This task takes a content image and a style image as input... [more] | ITS2022-68 IE2022-85 pp.147-152 |
| PRMU | 2022-12-16 10:15 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Pose-aware Disentangled Multiscale Transformer for Pose Guided Person Image Generation Kei Shibasaki, Masaaki Ikehara (Keio Univ.) PRMU2022-44 |
Pose Guided Person Image Generation (PGPIG) is the task that transforms the pose of a person image from the source image... [more] | PRMU2022-44 pp.63-69 |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-15 13:10 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
Data Transfer Technology between Projector and camera Ayano Higuchi, Yu Nakayama (Tokyo Univ. of Agriculture and Tech.) SeMI2022-43 |
Optical Camera Communication (OCC) is a technology to realize wireless communication between a light source and a camera... [more] | SeMI2022-43 pp.103-108 |
| SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] | 2022-05-20 16:20 |
Kumamoto | Kumamoto University Kurokami Campus (Primary: On-site, Secondary: Online) |
Visualization of Important Features for Classifier Decisions using Deep Image Synthesis Yushi Haku, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.) SIP2022-28 BioX2022-28 IE2022-28 MI2022-28 |
It is difficult to know the basis for the decisions of machine learning models, and it is necessary to provide a highly ... [more] | SIP2022-28 BioX2022-28 IE2022-28 MI2022-28 pp.144-149 |
| AP | 2022-03-11 09:55 |
Online | Online | Synthetic Aperture Radar Imaging with Uneven Spatial Sampling Takuma Watanabe (FSI), Hiroyoshi Yamada (Niigata Univ.) AP2021-194 |
Radar sensing has been widely used in consumer applications, an example of which is an automotive radar for collision av... [more] | AP2021-194 pp.67-72 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 16:30 |
Online | Online | 3D Light Source Direction Estimation Using Known Objects for Augmented Reality Yusuke Mukai, Hiroki Takahashi (UEC) |
In AR (Augmented Reality) technology, it is important to keep consistency between a real environment and a virtual envir... [more] | |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 11:00 |
Online | Online | Illustration author style translation using SailormoonRedraw data Keita Awane, Daichi Horita, Hikaru Ikuta, Yusuke Matsui (UTokyo), Naohiro Yanase (BOOK WALKER), Kiyoharu Aizawa (UTokyo) ITS2021-26 IE2021-35 |
The author characteristics of illustrations can be divided into two elements: "what to draw" and "how to draw". The latt... [more] | ITS2021-26 IE2021-35 pp.7-12 |
| SANE | 2021-12-16 14:35 |
Chiba | Chiba University (Primary: On-site, Secondary: Online) |
Scattering Cross-Section Synthesis for Multiple Targets Based on Radar Image Takuma Watanabe (Fujitsu), Hiroyoshi Yamada (Niigata Univ.) SANE2021-75 |
In this study, we propose a radar cross-section (RCS) prediction method for a cluster of multiple targets that combines ... [more] | SANE2021-75 pp.69-74 |
| SIS, ITE-BCT | 2021-10-07 14:25 |
Online | Online | Block-wise Transformation with Secret Key for Adversary Robust Defence of SVM model Ryota Iijima, MaungMaung AprilPyone, Hitoshi Kiya (TMU) SIS2021-13 |
In this paper, we propose a method for implementing support vector machine (SVM) models that are robust against adversar... [more] | SIS2021-13 pp.17-22 |
| MI | 2021-03-17 13:45 |
Online | Online | Medical Image Style Translation by Adversarial Training with Paired Inputs Kazuki Fujioka (Kobe Univ.), Takashi Matsubara (Osaka Univ.), Kuniaki Uehara (Osaka Gakuin Univ.) MI2020-96 |
Medical image diagnosis by artificial intelligence requires a large amount of data for learning. However, preparing such... [more] | MI2020-96 pp.212-217 |
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