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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-02-28 10:40 |
Okinawa | (Primary: On-site, Secondary: Online) |
Image reconstruction with a diffusion model for robust image classification against unknown degradation Teruaki Akazawa (Tokyo Metro. Univ.), Yuma Kinoshita (Tokai Univ.), Hitoshi Kiya (Tokyo Metro. Univ.)  EA2022-83 SIP2022-127 SP2022-47 |
This paper presents an image reconstruction method with a diffusion model for robust image classification against image ... [more] | EA2022-83 SIP2022-127 SP2022-47 pp.49-54 |
| 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 |
| IE | 2023-02-02 13:55 |
Tokyo | NII (Primary: On-site, Secondary: Online) |
Image reconstruction by warping shift-invariant systems in a holographic transparent screen camera Keiji Takahashi, Saori Takeyama, Masahiro Yamaguchi (Tokyo Tech) IE2022-52 |
A transparent screen camera, implemented using waveguide holographic optical elements, is combined with an image reconst... [more] | IE2022-52 pp.6-10 |
| SANE | 2022-12-16 11:25 |
Nagasaki | Nagasaki Public Hall (Primary: On-site, Secondary: Online) |
Polarimetric SAR Ship Detection Based on Sparse Reconstruction Error Saliency Jiahao Luo, Junjun Yin (USTB), Jian Yang (THU) SANE2022-79 |
Ship detection is one of the important applications of polarimetric synthetic aperture radar(SAR) images. In this study,... [more] | SANE2022-79 pp.80-84 |
| PRMU | 2022-12-15 14:25 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
A DNN compression method based on output error of activation functions Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2022-38 |
Deep Neural Networks (DNNs) are dominant in the field of machine learning. However, because DNN models have large comput... [more] | PRMU2022-38 pp.34-39 |
| PRMU | 2022-09-14 10:45 |
Kanagawa | (Primary: On-site, Secondary: Online) |
PRMU2022-13 |
In this paper, we propose an image correspondence method using machine learning and improve the accuracy of camera param... [more] | PRMU2022-13 pp.19-24 |
| AP, SANE, SAT (Joint) |
2022-07-29 09:25 |
Hokkaido | Asahikawa Taisetsu Crystal Hall (Primary: On-site, Secondary: Online) |
Radar Image Simulation Based on the Foldy-Lax Equations Including Multiple Scattering Effects Takuma Watanabe (FSI) SANE2022-31 |
Numerical models used in radar signal processing often assume a single or Born approximation, where the effects of multi... [more] | SANE2022-31 pp.49-54 |
| MI | 2022-07-08 17:00 |
Hokkaido | (Primary: On-site, Secondary: Online) |
[Short Paper]
Weakly-Supervised Focal Liver Lesion Detection in CT Images He Li, Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin, Ruofeng Tong, Hongjie Hu (Zhejiang Univ.), Akira Furukawa (Tokyo Metropolitan Univ.), Shuzo Kanasaki (Koseikai Takeda Hospital), Yen-Wei Chen (Ritsumeikan Univ.) MI2022-40 |
Convolutional neural networks have been widely used for anomaly detection and one of their most common methods is autoen... [more] | MI2022-40 pp.30-33 |
| MI | 2022-07-09 15:40 |
Hokkaido | (Primary: On-site, Secondary: Online) |
CT Volume Registration on X Ray Image Using 3D Reconstruction Network Pragyan Shrestha, Chun Xie, Hidehiko Shishido (Univ. of Tsukuba), Yuichi Yoshii (Tokyo Medical Univ.), Itaru Kitahara (Univ. of Tsukuba) MI2022-48 |
In this research, we propose a novel method for registering X-ray images to CT volumes by reconstructing 3D point clouds... [more] | MI2022-48 pp.61-65 |
| SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] | 2022-05-20 16:20 |
Kumamoto | Kumamoto University Kurokami Campus (Primary: On-site, Secondary: Online) |
Visualization of Important Features for Classifier Decisions using Deep Image Synthesis Yushi Haku, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.) SIP2022-28 BioX2022-28 IE2022-28 MI2022-28 |
It is difficult to know the basis for the decisions of machine learning models, and it is necessary to provide a highly ... [more] | SIP2022-28 BioX2022-28 IE2022-28 MI2022-28 pp.144-149 |
| CCS | 2022-03-27 15:40 |
Hokkaido | RUSUTSU RESORT HOTEL & CONVENTION (Primary: On-site, Secondary: Online) |
Evaluation of Industrial Anomaly Detection using Diffusion Model Yu Kashihara, Takashi Matsubara (Osaka Univ.) CCS2021-48 |
Anomaly detection by generative models is achieved by comparing the reconstruction and the original image. However, exis... [more] | CCS2021-48 pp.72-77 |
| AP | 2022-03-11 09:55 |
Online | Online | Synthetic Aperture Radar Imaging with Uneven Spatial Sampling Takuma Watanabe (FSI), Hiroyoshi Yamada (Niigata Univ.) AP2021-194 |
Radar sensing has been widely used in consumer applications, an example of which is an automotive radar for collision av... [more] | AP2021-194 pp.67-72 |
| MW | 2022-03-04 10:50 |
Online | Online | Dielectric Profile Imaging Method by Incorporating RPM and CSI Methods for Microwave Non-destructive Testing Katsuyoshi Suzuki, Shouhei Kidera (UEC) MW2021-133 |
While radar imaging is one of the most promising approaches for microwave non-destructive evaluation of aging road or tu... [more] | MW2021-133 pp.122-127 |
| MBE, NC (Joint) |
2022-03-02 16:10 |
Online | Online | XMCD-CT Reconstruction Using Compressed Sensing Tsukito Takizawa, Hayaru Shouno (The Univ. of Electro-Communications), Masaichiro Mizumaki (JASRI), Motohiro Suzuki (Kwansei Gakuin Univ.) NC2021-58 |
Observation of the magnetic domain structure is important for understanding the magnetic properties of materials includi... [more] | NC2021-58 pp.62-67 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 15:20 |
Online | Online | A Note on Perceived Visual Content Estimation Based on Compressed Reconstruction Network Using Brain Signals While Gazing on Images Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido University) |
In this paper, we propose a method to reconstruct a perceived image using brain signals obtained during gazing images. S... [more] | |
| MI | 2022-01-27 14:30 |
Online | Online | Reducing the number of projections in 3-D Compton Camera using EM-TV based image reconstruction Tomohiro Ono (Hirosaki Univ.), Yuto Nagao, Mitsutaka Yamaguchi, Naoki Kawachi (QST), Tsutomu Zeniya (Hirosaki Univ.) MI2021-80 |
It is desired to develop a Compton camera, which has been used for gamma ray detection in space and the environment, as ... [more] | MI2021-80 pp.150-155 |
| MI | 2022-01-27 14:56 |
Online | Online | Reconstruction of electrical conductivity in human bodies based on phase measurement of high frequency magnetic field using MRI Kenshiro Maeda, Naohiro Eda, Hiroki Miyazako, Keisuke Hasegawa, Takaaki Nara (Univ. of Tokyo) MI2021-82 |
Quantitative Conductivity Mapping (QCM) is a technique to obtain an image of the electrical conductivity from the phase ... [more] | MI2021-82 pp.162-167 |
| IE | 2022-01-24 13:05 |
Tokyo | National Institute of Informatics (Primary: On-site, Secondary: Online) |
Reduction of Truncation Artifacts by Massive-Training Artificial Neural Network (MTANN) in Fast-Acquisition MRI of the Knee Maodong Xiang, Ze Jin, Kenji Suzuki (Tokyo Tech) IE2021-31 |
MRI has a relatively long acquisition time, leading to patient comfort problems and artifacts from patient motion. Accel... [more] | IE2021-31 pp.21-26 |
| OME | 2021-12-24 13:55 |
Online | Online | [Invited Talk]
Volume holographic reconstruction with a broadband spectral light source Ryushi Fujimura (Utsunomiya Univ.) OME2021-28 |
Polychromatic reconstruction is a novel holographic reconstruction method that utilizes a spectrally-broad but spatially... [more] | OME2021-28 pp.11-14 |
| AP | 2021-12-16 13:25 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Sparse Reconstruction and Resolution Improving of Synthetic Aperture Radar using Deconvolution ISTA
-- Evaluation of the Effective Resolution -- Masanori Gocho (NICT) AP2021-130 |
The image reconstruction process of the SAR is generally implemented by the macthed filterling, but its resolution is co... [more] | AP2021-130 pp.7-12 |
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