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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 |
MICT, MI |
2022-11-18 14:00 |
Aichi |
Nagoya Institute of Technology |
Extrapolation of partial X-ray image for prediction of whole body musculoskeletal structure Weiqi Zhang, Yi Gu, Yoshito Otake, Soufi Mazen (NAIST), Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ), Toshiaki Akashi (Juntendo Univ), Kensaku Mori (Nagoya Univ/NII), Kento Aida (NII), Nobuhiko Sugano (Osaka Univ), Yoshinobu Sato (NAIST) MICT2022-38 MI2022-67 |
Image defects and partial disorders are common problems in medical imaging. Image inpainting and extrapolation are helpf... [more] |
MICT2022-38 MI2022-67 pp.24-28 |
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 |
2022-03-11 10:00 |
Online |
Online |
Generation of Handwritten Document Clones based on Font Style Transfer for Digital Document Images Koma Sasaki (Osaka Univ.), Kazuaki Nakamura (Tokyo Univ. of Science of), Naoko Nitta, Noboru Babaguchi (Osaka Univ.) PRMU2021-75 |
(To be available after the conference date) [more] |
PRMU2021-75 pp.97-102 |
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 |
SIP |
2016-08-25 15:30 |
Chiba |
Chiba Institute of Technology, Tsudanuma Campus |
[Invited Talk]
Applications of Deep learning for image diagnosis Hayaru Shouno (UEC) SIP2016-76 |
The ``deep learning'' is the 3rd generation neural network technology, which is exhibiting its characteristics in the bi... [more] |
SIP2016-76 pp.23-24 |
IE, MVE |
2012-03-12 11:20 |
Toyama |
Toyama University |
Study of Example-based Variations in Virtual Facial Makeup Jieun Cho (Waseda Univ.), Minje Park (Olaworks), Sang Il Park (Sejong Univ.), Jun Ohya (Waseda Univ.) IE2011-137 MVE2011-99 |
In this paper, we present a new face makeup analysis and synthesis method for a rapid prototyping of various facial make... [more] |
IE2011-137 MVE2011-99 pp.25-29 |
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