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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2023-03-07 08:30 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Improved diagnostic accuracy of melanoma using style transformation Takeki Tobitsuka, Tatsuya Masaki, Naoto Kitabata, Kazutoshi Hanazaki, WeiLun Chang, Takashi Nagaoka (KINDAI univ)  MI2022-101 |
(To be available after the conference date) [more] | MI2022-101 pp.125-126 |
| 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 |
| SIS | 2022-12-05 16:00 |
Osaka | (Primary: On-site, Secondary: Online) |
Accuracy Improvement of Real Image Classification by Style Transfer Using Training Data Created from 3DCG Takeru Inoue, Youichi Tomita (Meiji Univ.), Kouji Gakuta, Etsuji Yamada, Aoi Kariya (Digital Printing & Solutions), Masakazu Kinosada, Yujiro Kitaide (Shinsei Printing), Ryusuke Miyamoto (Meiji Univ.) SIS2022-30 |
In general, in order to achieve sufficient accuracy by machine learning in practical applications, training data appropr... [more] | SIS2022-30 pp.38-43 |
| PRMU | 2022-09-14 16:15 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Data Augmentation with Style Transfer for Fossil Image Segmentation Akihiro Waza (Osaka Metropolitan Univ.), Yuya Inamura (Osaka Prefecture Univ.), Katsufumi Inoue, Michifumi Yoshioka, Toshihiro Yamada (Osaka Metropolitan Univ.) PRMU2022-17 |
Fossils are extremely important materials in evolutionary biology and earth science. However, it is necessary to have sp... [more] | PRMU2022-17 pp.43-48 |
| PRMU, IPSJ-CVIM | 2022-05-13 10:15 |
Aichi | Toyota Technological Institute | Shape-preserving Style Transfer by Dense Pixel Correspondences between Input and Output Images and its Application to Gaze Estimation Daiki Mushiake, Norimichi Ukita (TTI) PRMU2022-2 |
Gaze estimation has been applied to a variety of tasks， and many methods using deep learning have been proposed in recen... [more] | PRMU2022-2 pp.6-11 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 11:25 |
Online | Online | Vector Font Generation for CJK Characters with Transformer Haruka Aoki, Kiyoharu Aizawa (UTokyo) ITS2021-48 IE2021-57 |
Designing fonts for CJK characters is exceedingly labor-intensive and time-consuming. CJK vector font generation had bee... [more] | ITS2021-48 IE2021-57 pp.139-144 |
| PRMU | 2021-12-17 10:45 |
Online | Online | Data augmentation for domain adaptation by class consistency using soft target Wataru Imaeda (Kyocera Corp.), Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.) PRMU2021-49 |
Domain adaptation is a task to acquire sufficient discrimination performance between images with different domains in le... [more] | PRMU2021-49 pp.136-141 |
| PRMU | 2021-10-09 09:15 |
Online | Online | Cross-modal CycleGAN for Low-Resource Anime Style Face Translation Shiping Deng (Hosei Univ./USTC), Kaoru Uchida (Hosei Univ.) PRMU2021-18 |
Human face to anime face translation has attracted the attention of many researchers in recent years, and various works... [more] |
PRMU2021-18 pp.11-16 |
| PRMU, IPSJ-CVIM | 2021-03-04 10:00 |
Online | Online | Saliency Detection by Extended Attention and its Application to Image Synthesis Ryosuke Yamauchi, Masaki Aono (TUT) PRMU2020-71 |
In recent years, there has been much research on Style Transfer and Saliency Detection. Style Transfer is a task to sy... [more] |
PRMU2020-71 pp.13-18 |
| MVE, IMQ, IE, CQ (Joint) [detail] |
2021-03-02 16:05 |
Online | Online | StyleGAN-based Emotion Transfer for Facial Motions Shiki Takeuchi, Atsushi Nakazawa (Kyoto Univ.) IMQ2020-26 IE2020-66 MVE2020-58 |
The facial expression, especially its emotion, has a great influence on audiences' impression. With an increasing numb... [more] |
IMQ2020-26 IE2020-66 MVE2020-58 pp.76-81 |
| PRMU | 2020-10-09 13:00 |
Online | Online | Style Adapted DataBase: Generalizing Hand Segmentation via Semantics-aware Stylization Takehiko Ohkawa, Takuma Yagi, Yoichi Sato (UTokyo) PRMU2020-23 |
Domain shift in first-person vision degrades the performance of hand segmentation, which is caused by changes in lightin... [more] | PRMU2020-23 pp.26-31 |
| MVE | 2020-09-09 14:00 |
Online | Online | Shitsukan Representation Based on Kansei Model Using Neural Style Feature Natsuki Sunda, Iori Tani (Kwansei Gakuin Univ.), Kensuke Tobitani (The Univ. of Nagasaki), Atsushi Takemoto, Yusuke Tani, Noriko Nagata (Kwansei Gakuin Univ.), Nobufumi Morita (Couture Digital) MVE2020-18 |
In this research, we focus on affective texture, which comprises the visual impressions evoked by surface properties, su... [more] | MVE2020-18 pp.38-43 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-15 14:50 |
Kagoshima | Kagoshima University | Performance Characteristic of Image-based Geolocation Estimation Method and its Application Masahiko Tahara, Kenji Kanai, Jiro Katto (Waseda Univ.) IMQ2018-73 IE2018-157 MVE2018-104 |
In recent years, many researchers have conducted on image-based geolocation estimation by using deep learning. In this p... [more] | IMQ2018-73 IE2018-157 MVE2018-104 pp.279-283 |
| PRMU, BioX | 2018-03-18 17:10 |
Tokyo | A Style Transfer Method using Variational Autoencoder Hidemoto Nakada, Hideki Asoh (AIST) BioX2017-56 PRMU2017-192 |
Image Style Transfer is a technique to render arbitrary image content with arbitrary image 'style'. Most existing... [more] |
BioX2017-56 PRMU2017-192 pp.121-126 |
|
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2018-02-16 10:15 |
Hokkaido | Hokkaido Univ. | ITS2017-79 IE2017-111 |
Domain adaptation is critical for success in new and unseen environments. Existing approaches for domain adaptation bas... [more] |
ITS2017-79 IE2017-111 pp.235-238 |
| MBE, NC, NLP (Joint) |
2018-01-27 13:10 |
Fukuoka | Kyushu Institute of Technology | Image Style Transfer Using Style Extraction Network Shoya Tanaka, Masafumi Hagiwara (Keio Univ.) NC2017-62 |
In this paper, we propose style transfer using style extraction network. Recently, research on style transfer that rende... [more] | NC2017-62 pp.71-76 |
| HCGSYMPO (2nd) |
2016-12-07 - 2016-12-09 |
Kochi | Kochi City Culture Plaza (CUL-PORT) | Modeling pointing behaviors using control theory approach for vision-based remote pointing interface Genki Mizuno, Kazuaki Kondo, Yuichi Nakamura (Kyoto Univ.) |
Our research purpose is to construct an easy-to-use pointing interface that shows a pointer at an indicator's intended l... [more] | |
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