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All Technical Committee Conferences (Searched in: Recent 10 Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MVE, CQ, IMQ, IE (Joint) [detail] |
2025-03-05 15:40 |
Okinawa | (Okinawa, Online) (Primary: On-site, Secondary: Online) |
Compression and evaluation of super resolution models using Deep Compression Yuto Endo, Jiro Katto (Waseda Univ.)  IMQ2024-30 IE2024-108 MVE2024-47 |
In recent years, video processing technology has been attracting attention due to the development of population intellig... [more] | IMQ2024-30 IE2024-108 MVE2024-47 pp.89-94 |
| MVE, CQ, IMQ, IE (Joint) [detail] |
2025-03-06 16:00 |
Okinawa | (Okinawa, Online) (Primary: On-site, Secondary: Online) |
Super-Resolution Image Generation for Small Object Detection Yu Yikun, Tsukada Masato (Univ. of Tsukuba) IMQ2024-69 IE2024-147 MVE2024-86 |
In object detection tasks, small objects in an image often occupy only a few pixels, making it challenging to extract su... [more] | IMQ2024-69 IE2024-147 MVE2024-86 pp.306-311 |
| MRIS, ITE-MMS | 2024-12-06 11:20 |
Ehime | Ehime Univ. (CITE) (Ehime, Online) (Primary: On-site, Secondary: Online) |
Evaluation of robustness against noise in super-resolution complex amplitude measurements using free-space optical propagation and virtual phase conjugation Ippo Matsushita, Atsushi Okamoto, Akihisa Tomita (Hokkaido Univ.) |
Optical measurement, a crucial technique employed in diverse fields such as three-dimensional biological tissue imaging... [more] |
|
| RCC, RCS, SeMI, NS, SR, RISING (Joint) |
2024-07-18 09:25 |
Hokkaido | Hokkaido Citizens Activities Promotion Center (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
Utilization of Super-Resolution in On-Demand Streaming Considering Video Quality Yojiro Nemoto, Kento Nakaji, Masaki Bandai (Sophia Univ.) NS2024-50 |
In this paper, we propose a video streaming method that utilizes super-resolution to reduce data traffic while maintaini... [more] | NS2024-50 pp.52-55 |
| US | 2024-06-28 11:15 |
Ishikawa | Shiinoki Cultural Complex, Ishikawa Prefecture (Ishikawa) | Basic study on localization and tracking method of isolated microbubbles in 3D contrast-enhanced ultrasound Rentaro Fukuchi, Kenji Yoshida, Tadashi Yamaguchi, Shinnosuke Hirata (Chiba Univ.) US2024-9 |
Contrast-enhanced ultrasound is a technique that selectively displays vascular regions by visualizing only the nonlinear... [more] | US2024-9 pp.15-20 |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 11:00 |
Okinawa | Okinawa Sangyo Shien Center (Okinawa, Online) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Pixels to Precision: Passing into the Future of Super-Resolution Mastery Supatta Viriyavisuthisakul (PIM) IMQ2023-42 IE2023-97 MVE2023-71 |
Single Image Super-Resolution (SISR) involves reconstructing low-resolution images to enhance perceptual quality. Recent... [more] | IMQ2023-42 IE2023-97 MVE2023-71 p.165 |
| EMM, ITE-ME, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] | 2023-09-07 16:30 |
Osaka | Osaka Metropolitan University - Nakamozu Campus- (Hybrid) (Osaka, Online) (Primary: On-site, Secondary: Online) |
Image Restoration using Super-Resolution and Deblur Akari Dakeno, Terumasa Aoki (TUT) LOIS2023-9 IE2023-19 EMM2023-56 |
With the development of deep learning, many studies on Super-Resolution (SR) using CNN have widely been done in the worl... [more] | LOIS2023-9 IE2023-19 EMM2023-56 pp.12-17 |
| CQ, MIKA (Joint) (2nd) |
2023-08-31 10:50 |
Fukushima | Tenjin-Misaki Sports Park (Fukushima) | [Poster Presentation]
A Study on Traffic Reduction Scheme with Super-Resolution for Smart Agriculture Hotaka Hoshino, Takuya Shindo, Takefumi Hiraguri, Nobuhiko Itho (NIT) |
Pollination of mini-tomatoes is carried out by bee migration in greenhouses. Low activity of bee during the summer lead... [more] | |
| CQ, MIKA (Joint) (2nd) |
2023-08-31 10:50 |
Fukushima | Tenjin-Misaki Sports Park (Fukushima) | [Poster Presentation]
An Exploration of a Graph Super-Resolution Algorithm using Spectra and Degree Distributionof a Graph Super-Resolution Algorithm using Spectra and Degree Distribution Hiroyoshi Sawano (Kwansei Gakuin Univ), Ryotaro Matsuo (Fukuoka Univ), Hiroyuki Ohsaki (Kwansei Gakuin Univ) |
Generally, for large-scale and complex networks, obtaining information on the entire topology is not straightforward due... [more] | |
| CS | 2023-07-27 10:02 |
Tokyo | Hachijo-machi Chamber of Commerce and Industry (Tokyo) | Study on Traffic Reduction Scheme with Super-Resolution for Object Detection Hotaka Hoshino, Takuya Shindo, Takefumi Hiraguri, Nobuhiko Itoh (NIT) CS2023-27 |
Drones send images of tomato flowers to a pollination classification device that estimates from the shape of the flower ... [more] | CS2023-27 pp.35-36 |
| MI | 2023-03-06 09:57 |
Okinawa | OKINAWA SEINENKAIKAN (Okinawa, Online) (Primary: On-site, Secondary: Online) |
Multi-label multi-class estimation of pathology in high-resolution chest CT images using SRGAN Tetsuya Asakawa, Riku Tsuneda, Yuki Sugimoto (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2022-76 |
The purpose of this research, three pathologies (thickening, calcification, and cavitation) were accurately estimated as... [more] | MI2022-76 pp.14-19 |
| IMQ | 2022-05-27 14:25 |
Tokyo | (Tokyo) | Classification-ESRGAN
-- Synthesis of super-resolution images based on subject categorization -- Jingan Liu, Atsumu Harada, Naiwala P. Chandrasiri (Kogakuin Univ.) IMQ2022-3 |
In recent years, super-resolution techniques have been significantly developed based on deep learning. In particular, GA... [more] | IMQ2022-3 pp.12-17 |
| RCS, SR, SRW (Joint) |
2022-03-04 09:55 |
Online | Online (Online) | Low-overhead Beam and Power Allocation Using Deep Learning for mmWave Networks Yuwen Cao, Tomoaki Ohtsuki (Keio Univ.) RCS2021-284 |
In this report, we develop a novel deep learning (DL)-based hybrid beam and power allocation approach for multiuser mill... [more] | RCS2021-284 pp.159-163 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 15:20 |
Online | Online (Online) | Resolution in 3D super-resolution projection using single-lens spatial cross modulation method Xinruinan Zhang, Atsushi Okamoto (Hokkaido Univ.), Hisatoshi Funakoshi (Gifu Univ.), Shuanglu Zhang, Akihisa Tomita (Hokkaido Univ.) |
Spatial cross modulation (SCMM) can regenerate optical complex amplitudes by combining a single spatial light modulator ... [more] | |
| MI | 2022-01-26 13:00 |
Online | Online (Online) | Relationship between Image Quality and Learning Effect in Color Laparoscopic Images Generation by Generative Adversarial Networks Norifumi Kawabata (Hokkaido Univ.), Toshiya Nakaguchi (Chiba Univ.) MI2021-59 |
Improving of personal computer performance, it is possible for healthcare workers and related researchers to support for... [more] | MI2021-59 pp.59-64 |
| NLP | 2021-12-18 15:15 |
Oita | J:COM Horuto Hall OITA (Oita) | On Weight Filter Generation Using an Attention Module in a Super-Resolution Method Keitaro Otani, Hidehiro Nakano (Tokyo City Univ.) NLP2021-66 |
In recent years, the development of computer technology has led to an increase in the number of systems that require lar... [more] | NLP2021-66 pp.104-109 |
| PRMU | 2021-12-16 11:00 |
Online | Online (Online) | Low-Resolution Iris Recognition with Image Super-Resolution for arbitrary magnification Tsubasa Bora (UEC), Takahiro Toizumi, Yuho Shoji, Yuka Ogino, Masato Tsukada (NEC), Masatsugu Ichino (UEC) PRMU2021-26 |
A low-resolution iris image reduces iris recognition accuracy. Some conventional researches tackle low-resolution iris r... [more] | PRMU2021-26 pp.13-18 |
| IMQ | 2021-10-22 13:45 |
Osaka | Osaka Univ. (Osaka) | A Tiny Convolutional Neural Network for Image Super-Resolution Kazuya Urazoe, Nobutaka Kuroki, Yu Kato, Shinya Ohtani (Kobe Univ.), Tetsuya Hirose (Osaka Univ.), Masahiro Numa (Kobe Univ.) IMQ2021-7 |
This paper surveys three techniques for reducing computational costs of convolutional neural network (CNN) for image sup... [more] | IMQ2021-7 pp.2-7 |
| MI | 2021-05-17 14:40 |
Online | Online (Online) | MR super-resolution based on signal-image domain learning using phase scrambling Fourier transform imaging Kazuki Yamato, Hiromichi Wakatsuki, Satoshi Ito (Utsunomiya Univ.) MI2021-6 |
In the phase-scrambling Fourier transform (PSFT) imaging, the signals not sampled during imaging can be extrapolated and... [more] | MI2021-6 pp.14-19 |
| MI | 2021-03-17 11:00 |
Online | Online (Online) | Optimal Design and Quality Assessment of Color Laparoscopic Super-Resolution Image by Generative Adversarial Networks Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) MI2020-91 |
The Generative Adversarial Networks (GAN) is unsupervised learning enabled to transform according to data characteristic... [more] | MI2020-91 pp.186-190 |
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