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 |
SIS |
2023-12-08 14:40 |
Aichi |
Sakurayama Campus, Nagoya City University (Primary: On-site, Secondary: Online) |
[Invited Talk]
Maximum Likelihood DOA Estimation Masakiyo Suzuki (Kitami Inst. Technol.) SIS2023-44 |
DOA estimation of narrow band signals based on Maximum Likelihood method is formulated using arrival signals modeled as ... [more] |
SIS2023-44 pp.111-116 |
PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI |
2023-11-17 14:40 |
Tottori |
(Primary: On-site, Secondary: Online) |
An image based barcode reading using Hough transform and 1-D super resolution Hiroki Egawa, Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2023-38 |
There is a demand for automatic reading of shelf tag barcodes captured by mobile robots to assist shelf allocation. In t... [more] |
PRMU2023-38 pp.125-130 |
SCE |
2023-10-30 15:20 |
Miyagi |
RIEC, Tohoku Univ. (Primary: On-site, Secondary: Online) |
Jitter Analysis and Theoretical Calculation for Ti/Au Transition-Edge Sensor Akihiro Kato (AIST/SOKENDAI), Kaori Hattori (AIST/KEK QUP/OPERANDO-OIL), Sachiko Takasu (AIST), Daiji Fukuda (AIST/OPERANDO-OIL) SCE2023-14 |
The Transition-Edge Sensor (TES) is a high-resolution detector capable of distinguishing the number of photons in visibl... [more] |
SCE2023-14 pp.11-15 |
SCE |
2023-10-31 13:25 |
Miyagi |
RIEC, Tohoku Univ. (Primary: On-site, Secondary: Online) |
Fabrication of Superconducting Tunnel Junction X-ray Detector in Qufab Tsuyoshi Noguchi (Saitama univ./AIST), Go Fujii (AIST), Tohru Taino (Saitama univ.) SCE2023-20 |
Superconducting tunnel junction (STJ) detectors can theoretically achieve several ten times higher energy resolution tha... [more] |
SCE2023-20 pp.40-43 |
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 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2023-02-22 11:30 |
Hokkaido |
Hokkaido Univ. |
Implementation of Hierarchical Object Detection Method for Super High-Definition Image Sensing Makoto Sugaya, Yusei Horikawa, Renpei Yoshida, Tetsuya Matsumura (Nihon Univ.) ITS2022-65 IE2022-82 |
In this paper, we propose a hierarchical object detection method for a 4K super-high definition. This method is a three-... [more] |
ITS2022-65 IE2022-82 pp.130-135 |
SCE |
2023-01-20 15:10 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Evaluation of current-voltage characteristics of STJ detectors using membrane Tsuyoshi Noguchi, Taiga Shibasaki (Saitama Univ.), Go Fujii, Shigetomo Shiki, Takahiro Kikuchi (AIST), Tohru Taino (Saitama Univ.) SCE2022-17 |
Superconducting tunnel junction (STJ) detectors can theoretically achieve several ten times higher energy resolution tha... [more] |
SCE2022-17 pp.23-26 |
SDM |
2022-11-11 09:30 |
Online |
Online |
[Invited Talk]
Toward Super Temporal Resolution by Suppression of Mixing Effects of Electrons Takeharu Goji Etoh (Osaka Univ.), Kazuhiro Shimonomura, Taeko Ando, Yoshiyuki Matsunaga, Yutaka Hirose (Ritsumeikan Univ.), Takayoshi Shimura, Heiji Watanabe (Osaka Univ.), Yoshinari Kamakura (OIT), Hideki Mutoh (Link Research) SDM2022-71 |
The theoretical temporal resolution limit of silicon (Si) image sensors is 11.1 ps. The super temporal resolution (STR) ... [more] |
SDM2022-71 pp.32-39 |
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 |
PRMU, IPSJ-CVIM |
2022-05-13 11:00 |
Aichi |
Toyota Technological Institute |
Relationship between Perceptual and Image Qualities of Training and Reconstruction Images in Video Super-Resolution Hiroshi Mori, Norimichi Ukita (TTI) PRMU2022-5 |
Super resolution is a technique for converting low-resolution images into high-resolution images. Recent research has sh... [more] |
PRMU2022-5 pp.24-29 |
MW |
2022-03-04 11:10 |
Online |
Online |
Deep-Learning Based Anomaly Detection Method for Microwave Non-destructive Road Monitoring Takahide Morooka, Shouhei Kidera (Univ. of Electro-Communications) MW2021-134 |
Microwave radar is promising as large-scale and speedy non-destructive monitoring tool for aging road or tunnel because ... [more] |
MW2021-134 pp.128-133 |
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 |
SCE |
2022-01-21 15:30 |
Online |
Online |
Gamma-ray transition edge sensors with a thick-trilayer membrane; Thermal Property & Microwave Multiplexing Takahiro Kikuchi, Go Fujii (AIST), Ryota Hayakawa (TMU), Ryan Smith (UTokyo), Fuminori Hirayama, Yasushi Sato, Satoshi Kohjiro, Masahiro Ukibe (AIST), Masashi Ohno (UTokyo), Akira Sato, Hirotake Yamamori (AIST) SCE2021-16 |
Thick membranes of the gamma-ray transition-edge sensor (γ-TES) generally exhibit great mechanical strength and can supp... [more] |
SCE2021-16 pp.22-27 |