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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EMCJ, IEE-EMC, IEE-SPC | 2023-05-12 13:15 |
Okinawa | (Primary: On-site, Secondary: Online) |
Evaluating Transmission Efficiency Impact on Screen Reconstruction Accuracy for High-Resolution Displays Taiki Kitazawa, Yuichi Hayashi (NAIST)  EMCJ2023-6 |
In TEMPEST attacks targeting high-resolution displays with divided screens, reconstructing screen information proves dif... [more] | EMCJ2023-6 pp.1-6 |
| 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 |
| IN, NS (Joint) |
2023-03-02 11:00 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
High Temporal Resolution MOS Estimation Method using Series of Packets Akihiro Wada, Junki Oura, Kaoru Yokoo, Jun Kakuta, Teruhisa Ninomiya, Masatoshi Ogawa (Fujitsu) NS2022-174 |
Network control based on Quality of Experience(QoE), which is an indicator of the actual experience quality of users, is... [more] | NS2022-174 pp.43-46 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 14:00 |
Hokkaido | Hokkaido Univ. | Hierarchical Minimum-Sized Object Detection Method using Clustering Algorithm for UAV Autonomous Flight Yusei Horikawa, Makoto Sugaya, Tetsuya Matsumura (Nihon Univ) |
This paper describes an efficient minimum-sized object detection method in high-Resolution images for UAV autonomous fli... [more] | |
| 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 |
| SANE | 2022-12-16 15:45 |
Nagasaki | Nagasaki Public Hall (Primary: On-site, Secondary: Online) |
Application of passive radar for ocean current measurement
-- Radar placement -- Akitsugu Nadai (NICT) SANE2022-87 |
This study indicates that when passive radar technology is applied to ocean current field measurements, the expected ac... [more] |
SANE2022-87 pp.120-124 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] | 2022-11-30 10:20 |
Kumamoto | (Primary: On-site, Secondary: Online) |
Deep Learning-based Hierarchical Object Detection System for High-Resolution Images Yusei Horikawa, Makoto Sugaya, Renpei Yoshida, Kazuma Mashiko, Tetsuya Matsumura (Nihon Univ.) VLD2022-44 ICD2022-61 DC2022-60 RECONF2022-67 |
This paper describes a new deep learning-based hierarchical object detection algorithm for high-resolution vision sensor... [more] | VLD2022-44 ICD2022-61 DC2022-60 RECONF2022-67 pp.144-149 |
| 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 |
| AI | 2022-09-16 15:45 |
Shizuoka | (Primary: On-site, Secondary: Online) |
An image restoration method for lecture videos with projected lecture slides Yuma Ito, Masato Kikuchi, Tadachika Ozono (NIT) AI2022-32 |
The lecturers can use their body movements and gestures in the lectures with slides displayed using a projector in the r... [more] | AI2022-32 pp.79-84 |
| PRMU | 2022-09-14 10:15 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Evaluation of Loss Functions for Low-Resolution Iris Recognition Using Deep Learning Rikuto Otsuka, Tsubasa Bora (UEC), Yuho Shoji, Yuka Ogino, Takahiro Toizumi (NEC), Ichino Masatsugu (UEC) PRMU2022-11 |
In this paper, we report the evaluation results of loss functions for low-resolution iris recognition using deep learnin... [more] | PRMU2022-11 pp.7-12 |
| SIP | 2022-08-25 14:15 |
Okinawa | Nobumoto Ohama Memorial Hall (Ishigaki Island) (Primary: On-site, Secondary: Online) |
Multiresolution Convolutional-Sparse-Coded Dynamic Mode Decomposition and Its Application to Riverbed State Estimation Eisuke Kobayashi, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka (Niigata Univ.) SIP2022-54 |
In this report, we propose a method that incorporates multi-resolution representation into Convolutional-Sparse-Coded Dy... [more] | SIP2022-54 pp.25-30 |
| EA, ASJ-H | 2022-08-04 15:15 |
Miyagi | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Audio Source Separation Combining Wavelet Transform and Deep Neural Network Tomohiko Nakamura (Univ. Tokyo) EA2022-32 |
Audio source separation is a technique of separating an observed audio signal into individual source signals. The use of... [more] | EA2022-32 p.25 |
| AP, SANE, SAT (Joint) |
2022-07-27 16:30 |
Hokkaido | Asahikawa Taisetsu Crystal Hall (Primary: On-site, Secondary: Online) |
SAR Observation with High Resolution, Wide Swath by Deployable Corporate-Fed Slot Array Antenna Kosei Ishimura (Waseda Univ./Tokyo Inst. Tech.), Kosei Ishimura (Waseda Univ.), Jiro Hirokawa (Tokyo Inst. Tech.) AP2022-38 SANE2022-23 SAT2022-19 |
We have developed a synthetic aperture radar system with 1m ground resolution compatible with 100kg small satellite. The... [more] | AP2022-38 SANE2022-23 SAT2022-19 pp.22-27(AP), pp.6-11(SANE), pp.12-17(SAT) |
| OME, IEE-DEI | 2022-07-18 15:00 |
Nagano | Karuizawa-machi Tourism promotion center (Primary: On-site, Secondary: Online) |
[Invited Talk]
Evaluation of depth resolution in structured illumination microscope based on 3D-printed flexure stages Tatsunosuke Matsui, Daigo Fujiwara (Mie Univ.) OME2022-17 |
Recently, various types of 3D-printable optical microscopes have been reported. Many of those are open-sourced, therefor... [more] | OME2022-17 pp.16-21 |
| 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 |
|
| IN, RCS, NV (Joint) |
2022-05-26 09:30 |
Kanagawa | Keio University (Hiyoshi Campus) (Primary: On-site, Secondary: Online) |
LiCo: Toward Lightweight Resolution of Signal Collisions in LoRaWAN Chenglong Shao, Osamu Muta (Kyushu Univ.) RCS2022-13 |
While Long Range Wide Area Network (LoRaWAN) has gathered remarkable attention, it experiences frequent LoRa signal coll... [more] | RCS2022-13 pp.1-6 |
| 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 |
| IBISML | 2022-03-09 13:55 |
Online | Online | Learning coefficients of deep linear neural networks Ryuji Ito, Miki Aoyagi, Seikai Ashizawa, Yuki Tsukamoto (Nihon Univ.), Daisuke Kaji (Denso) IBISML2021-45 |
Recently, the learning theory has been analyzed based on resolution of learning machine singularities in algebraic geome... [more] | IBISML2021-45 pp.46-52 |
| 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] | |
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