| IEICE Technical Committee Submission System Conference Schedule |
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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SS | 2024-03-09 13:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
A Study on Cloud-Based Image Generation Using Spot Instances Kippei Kasai, Daisuke Katayama, Takahiro Koita (Doshisha Univ.)  SS2023-83 |
Recently, cloud computing has become an important service in the IT industry. However, there is a challenge for organiza... [more] | SS2023-83 pp.202-206 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-04 16:06 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
PRMU2023-81 |
(To be available after the conference date) [more] | PRMU2023-81 pp.174-179 |
| ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2024-02-20 11:00 |
Hokkaido | Hokkaido Univ. | Image Generation Modification with Diffusion Model through Sketch Guidance Sandra Zhang Ding, Jiafeng Mao, Kiyoharu Aizawa (UTokyo) ITS2023-64 IE2023-53 |
Large-scale image generation models have demonstrated their remarkable ability to generate diverse, high-quality images.... [more] | ITS2023-64 IE2023-53 pp.95-99 |
| AP, WPT (Joint) |
2024-01-19 15:50 |
Niigata | Tokimate, Niigata University (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Generation of Virtual City 3D Model for Pathloss Dataset Extension Rento Hagiwara, Koichi Ichige (Yokohama National Univ), Tatsuya Nagao, Takahiro Hyashi (KDDI Research Inc.) AP2023-185 |
In this paper, we propose a method to generate a 3D model of virtual cities for propagation data generation by ray traci... [more] | AP2023-185 pp.131-136 |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Interactive Design System Presenting Candidate Solutions Appealing to User's Sensibility by Image Generative AI Nagisa Sawada, Akira Hara, Tomoko Kajiyama (Hiroshima City Univ.), Shin'ichi Satoh (NII) |
We propose an interactive design system that optimizes the color scheme of a bouquet. The optimization is performed by I... [more] | |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Creating cover images using characteristic words from online novels and image generative AI Yuki Ishida, Tomoko Kajiyama (Hiroshima City Univ.), Shin'ichi Satoh (NII) |
Because many web novels do not have cover images that intuitively convey the content to readers, it is difficult to disc... [more] | |
| NLP | 2023-11-28 10:50 |
Okinawa | Nago city commerce and industry association | Investigation of differences in latent variable space for different datasets in Sentence-BERT's image generation model Masato Izumi, Kenya Jin'no (Tokyo City Univ.) NLP2023-61 |
We have verified the degree to which sentence vectors, which are distributed representations of sentences generated by S... [more] | NLP2023-61 pp.11-14 |
| PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI | 2023-11-16 15:10 |
Tottori | (Primary: On-site, Secondary: Online) |
Diffusion model for medical image Shumpei Takezaki, Seiichi Uchida (Kyushu Univ.) PRMU2023-18 |
(To be available after the conference date) [more] | PRMU2023-18 pp.16-21 |
| PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI | 2023-11-17 09:20 |
Tottori | (Primary: On-site, Secondary: Online) |
() PRMU2023-30 |
(To be available after the conference date) [more] | PRMU2023-30 pp.80-85 |
| DE, IPSJ-DBS, IPSJ-IFAT [detail] | 2023-09-22 13:25 |
Fukuoka | Kitakyushu International Conference Center | A Method of Generating Images to Represent Impressions of a Piece of Music Using the Text2Image Model Shoichi Sasaki, Taketoshi Ushiama (Kyushu Univ.) DE2023-26 |
In this study, we propose a method for automatically generating images that represent impressions of songs using informa... [more] | DE2023-26 pp.89-94 |
| AI | 2023-09-12 15:55 |
Hokkaido | Analysis of Conditional Image Generation Methods Using Color Palettes in Animal Personification Task Jianglin Xu, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2023-19 |
With the advent of large-scale pre-trained open-source diffusion models, image generation is now easily accessible to no... [more] | AI2023-19 pp.101-108 |
|
| AI | 2023-09-12 16:50 |
Hokkaido | Koki Miyauchi, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2023-34 |
Icons are indispensable elements for websites and smartphone applications. For website developers, the creation of icons... [more] | AI2023-34 pp.201-206 |
|
| PRMU, IPSJ-CVIM | 2023-05-19 09:35 |
Aichi | (Primary: On-site, Secondary: Online) |
Free-viewpoint Omnidirectional Image Synthesis for Large Scenes Fuma Yasue, Kazutoshi Akita, Norimichi Ukita (TTI) PRMU2023-8 |
Recently, Neural Radiance Fields (NeRF) have been attracting attention as a method for arbitrary viewpoint image generat... [more] | PRMU2023-8 pp.39-44 |
| MI | 2023-03-06 16:51 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Synthesizing COVID-19 CT Images with Generative Adversarial Networks Ryo Kawasaki (TUAT), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT) MI2022-95 |
(To be available after the conference date) [more] | MI2022-95 pp.111-112 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-03 09:20 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
A Study of Few-shot NeRF by Pseudo-Feature Vectors Evaluation for Unknown Viewpoints Daiju Kanaoka (Kyutech/RIKEN), Motoharu Sonogashira (RIKEN), Hakaru Tamukoh (Kyutech/Neumorph Center), Yasutomo Kawanishi (RIKEN) PRMU2022-101 IBISML2022-108 |
Neural Radiance Fields (NeRF) is a powerful method for novel view synthesis. However, NeRF requires a large number of ... [more] |
PRMU2022-101 IBISML2022-108 pp.220-225 |
| 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 |
| PRMU, IPSJ-CVIM | 2022-03-11 17:10 |
Online | Online | PRMU2021-90 |
No English abstract [more] | PRMU2021-90 pp.186-191 |
| AI | 2022-02-28 14:20 |
Miyazaki | Youth Hostel Sunflower MIYAZAKI (Primary: On-site, Secondary: Online) |
AI2021-20 |
(To be available after the conference date) [more] | AI2021-20 pp.47-52 |
| 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 12:45 |
Online | Online | Regularizing Generative Adversarial Networks with Internal Representation of Generators Yusuke Hara, Toshihiko Yamasaki (UTokyo) ITS2021-29 IE2021-38 |
In training generative adversarial networks, maintaining the criteria of the discriminator stably is crucial to training... [more] | ITS2021-29 IE2021-38 pp.25-30 |
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