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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-04 10:40 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Letter image generation Sho Shimotsumagari, Shumpei Takezaki, Daichi Haraguchi, Seiichi Uchida (Kyushu Univ.)  PRMU2023-70 |
(To be available after the conference date) [more] | PRMU2023-70 pp.110-115 |
| 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 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-16 15:55 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
Image impression manipulation by object appearance transformation Yuki Uchida (Osaka Univ.), Naoko Nitta (Mukogawa Women's Univ.), Kazuaki Nakamura (Tokyo Univ. of Science), Noboru Babaguchi (Fukui Univ. of Tech.) IMQ2022-64 IE2022-141 MVE2022-94 |
(To be available after the conference date) [more] | IMQ2022-64 IE2022-141 MVE2022-94 pp.218-223 |
| 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 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-11 13:50 |
Online | Online (Zoom) | IMQ2021-51 IE2021-113 MVE2021-80 |
We propose Laplacian Pyramid Translation Transformer (LPTT), a network for image to image translation. LPTT creates a La... [more] | IMQ2021-51 IE2021-113 MVE2021-80 pp.209-215 |
| 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 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 11:30 |
Online | Online | ITS2021-28 IE2021-37 |
The dynamic range of electronic imaging is orders of magnitudes smaller than that of human vision. To obtain images of h... [more] | ITS2021-28 IE2021-37 pp.19-24 |
| SWIM | 2021-11-27 15:55 |
Online | Online | Contour Detection Method Using CycleGAN with CG Images as Ground Truth Tsukasa Kudo (SIST) SWIM2021-29 |
In object detection from images, contour detection methods with pixel by pixel manner by using GAN have been proposed. H... [more] | SWIM2021-29 pp.23-28 |
| 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 |
| PRMU, IPSJ-CVIM | 2021-03-04 10:15 |
Online | Online | Semi-supervised temporal image sequence generation conditioned on non-visual sensor signals Kawakami Sota, Kei Okada, Naoko Nitta, Kazuaki Nakamura, Noboru Babaguchi (Osaka Univ.) PRMU2020-72 |
(To be available after the conference date) [more] | PRMU2020-72 pp.19-24 |
| IBISML | 2018-03-06 13:10 |
Fukuoka | Nishijin Plaza, Kyushu University | Sonar2image: GAN-based night vision for fish monitoring Kento Shin, Kei Terayama, Katsunori Mizuno, Koji Tsuda (Univ. of Tokyo) IBISML2017-102 |
Fish monitoring in an aquaculture farm is indispensable for managing fish growth and health status. However, it is not ... [more] |
IBISML2017-102 pp.85-89 |
| EMM, IT | 2015-05-21 15:20 |
Kyoto | Kyoto International Community House | A study on speaker conversion using speech and expression features for video chatting Yuuki Saito, Takashi Nose (Tohoku Univ.), Takahiro Shinozaki (Tokyo Institute of Technology), Akinori Ito (Tohoku Univ.) IT2015-9 EMM2015-9 |
In this paper, we suggest two method that the individuality of the face of original speaker convert that of target speak... [more] | IT2015-9 EMM2015-9 pp.45-50 |
| USN, CQ, MoNA (Joint) |
2008-01-25 11:20 |
Shizuoka | Kenshu Kouryu Center, Actcity Hamamatsu (Shizuoka) | [Technology Exhibit]
Optimal Viewing Area Estimation Method of Video Contents for Mobile Device
-- By using Viewer’s Operation Logs -- Hidefumi Iwashita, Takamichi Miyata, Yoshiyuki Yashima, Yoshinori Sakai (Tokyo Tech) MoMuC2007-91 USN2007-84 |
In the case of watching high resolution video content with relatively low resolution display, the optimal cropping area... [more] |
MoMuC2007-91 USN2007-84 pp.97-102(MoMuC), pp.113-118(USN) |
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