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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 121  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-14
11:00
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
[Invited Talk] From 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)
(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 [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 [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 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
(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   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 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 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 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 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 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. 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 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 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
MI 2021-03-17
14:15
Online Online Super-resolution of thoracic CT volumes using high-frequency learning
Ryosuke Kawai, Atsushi Saito (TUAT), Shoji Kido (Osaka Univ), Kunihiro Inai, Hirohiko Kimura (Fukui Univ), Akinobu Shimizu (TUAT) MI2020-97
We report the results of super-resolution using a new network model. Specifically, the reconstructed image is represente... [more] MI2020-97
pp.218-219
MBE, NC
(Joint)
2020-12-18
14:50
Online Online Super resolution for sea surface temperature with CNN and GAN
Tomoki Izumi, Motoki Amagasaki, Kei Ishida, Masato Kiyama (Kumamoto Univ.) NC2020-28
In this paper, we use the deep neural networks (DNN)-based single image super-resolution (SISR) method for the super res... [more] NC2020-28
pp.1-6
IE, CS, IPSJ-AVM, ITE-BCT [detail] 2020-11-27
15:00
Online Online Comparative Study of Channel Estimation using Deep-learning based Super-resolution
Daiki Maruyama, Kenji Kanai, Jiro Katto (Waseda Univ.) CS2020-73 IE2020-32
Recently, application of deep learning into communication systems are getting lots of attention to researchers. Especial... [more] CS2020-73 IE2020-32
pp.39-44
MICT, MI 2020-11-04
15:50
Online Online [Short Paper] An Experimental Study on Color Laparoscopic High-Definition Video Quality Assessment Including Super-resolution
Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) MICT2020-19 MI2020-45
After considering medical image analysis support, it is one of importance factors to assess high-definition image qualit... [more] MICT2020-19 MI2020-45
pp.60-61
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-27
16:35
Hokkaido Hokkaido Univ.
(Cancelled but technical report was issued)
A Study on Region Segmentation of Color Laparoscopic Images after Contrast Enhancement Including Super-Resolution CNN by Image Regions
Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.)
As one of image pre-processing method to detect, recognize, and estimate lesion or characteristic region in medical imag... [more]
 Results 1 - 20 of 121  /  [Next]  
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