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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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. | A Study of Hierarchical Object Detection Method for Super High-Resolution 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 (Saitama Univ.), Go Fujii, Shigetomo Shiki (AIST), Tohru Taino, Taiga Shibasaki (Saitama Univ.), Takahiro Kikuchi (AIST) 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 |
| 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 |
| 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 |
| OFT, OCS, IEE-CMN, ITE-BCT [detail] | 2021-11-19 10:50 |
Online | Online | Super-simplified optical correlation-domain reflectometry Takaki Kiyozumi, Tomoya Miyamae (YNU), Kohei Noda (Tokyo Tech/YNU), Heeyoung Lee (SIT), Kentaro Nakamura (Tokyo Tech), Yosuke Mizuno (YNU) OFT2021-53 |
Optical fiber reflectometry has been widely studied as a method for diagnosing the soundness of fiber networks. Of numer... [more] | OFT2021-53 pp.13-16 |
| 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 |
| PRMU | 2021-08-26 16:00 |
Online | Online | A Study of Low-Resolution Iris Biometrics using Single Image Super-Resolution Tsubasa Bora, Daisuke Uenoyama (UEC), Takahiro Toizumi, Yuka Ogino, Masato Tsukada (NEC), Masatsugu Ichino (UEC) PRMU2021-14 |
It requires a high-quality iris image in general, which means that subject must look into the camera, which is highly in... [more] | PRMU2021-14 pp.42-47 |
| MI | 2021-05-17 11:00 |
Online | Online | [Short Paper]
Watershed-based Alveoli Segmentation from Micro-focus X-ray CT Volumes of Dissected Human Lungs Takeru Shiina, Hirohisa Oda, Tong Zheng, Shota Nakamura, Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2021-3 |
We propose a segmentation method of the alveoli from μCT volumes. The peripheral lung mainly consists of tiny spherical ... [more] | MI2021-3 pp.9-10 |
| 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 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 |
| NC, NLP (Joint) |
2021-01-21 12:05 |
Online | Online | Examination of precipitation estimation using atmospheric variables Takanori Ito, Motoki Amagasaki, Kei Ishida, Masato Kiyama, Masahiro Iida (GSST Kumamoto University) NC2020-34 |
In this paper, we developed a model for SR using ConvLSTM to improve the resolution of precipitation data. In the relat... [more] |
NC2020-34 pp.13-17 |
| 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 |
| 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] | |
| SCE | 2019-10-09 16:15 |
Miyagi | Design of High Timing resolution Time-to-Digital Convertor for Time-Resolving Photon Detection System using SNSPD Hiroaki Myoren, Ryotaro Kamiya, Kota Aita, Masato Naruse, Tohru Taino (Saitama Univ.), Lin Kang, Jian Chen, Peiheng Wu (Nanjing Univ.) SCE2019-26 |
Superconducting nanowire single photon detectors (SNSPDs) , those have a low dark count rate characteristics, fast and l... [more] | SCE2019-26 pp.23-26 |
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