Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] |
2024-06-20 10:35 |
Okinawa |
OIST |
Research on 3D Reconstruction of Shellfish Based on Multi-View Images Changxin Lyu, Sikun Wang (FIT), Kazuhiro Tsujino (DUP), Cunwei Lu (FIT) |
(To be available after the conference date) [more] |
|
PRMU, IPSJ-CVIM |
2024-05-16 10:00 |
Tokyo |
(Primary: On-site, Secondary: Online) |
An acceleration method by image selection for wide-area 3D scene Takayuki Kurozumi, Shota Yamada, Seiichi Konya, Shinji Fukatsu (NTT) PRMU2024-4 |
(To be available after the conference date) [more] |
PRMU2024-4 pp.18-23 |
RCC, ISEC, IT, WBS |
2024-03-14 17:00 |
Osaka |
Osaka Univ. (Suita Campus) |
Reconstruction of Boyer quantum algorithm and its application to hash puzzles Chris Idota, Yuichi Kaji (Nagoya Univ.) IT2023-132 ISEC2023-131 WBS2023-120 RCC2023-114 |
This study investigates the computational complexity of solving hash puzzles using quantum algorithms. A hash puzzle is ... [more] |
IT2023-132 ISEC2023-131 WBS2023-120 RCC2023-114 pp.358-365 |
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 |
NC, MBE (Joint) |
2024-03-11 10:25 |
Tokyo |
The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Potential of neural network for CT with divided cross sectional image using scattered X-ray Taiki Matsushita, Naohiro Toda (APU) MBE2023-68 |
In the X-ray CT(Computed Tomography) scattered X-rays have been removed by the detector grid. However several author hav... [more] |
MBE2023-68 pp.1-4 |
MI |
2024-03-03 09:41 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
A preliminary study on deep causal discovery model for image classification Ryohei Motoda, Megumi Nakao (Kyoto Univ.) MI2023-33 |
Although saliency map used in image classification can visualize the regions correlated with predicted class, it cannot ... [more] |
MI2023-33 pp.11-14 |
PRMU, IBISML, IPSJ-CVIM |
2024-03-04 09:00 |
Hiroshima |
Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
A study on camera parameter estimation using multiple cameras running in parallel for wide-area 3D scene reconstruction Takayuki Kurozumi, Shota Yamada, Seiichi Konya, Shinji Fukatsu (NTT) PRMU2023-68 |
In recent years, Neural Radiance Fields (NeRF) has attracted attention as a 3D scene reconstruction technology, and is e... [more] |
PRMU2023-68 pp.100-105 |
MI |
2024-03-03 17:18 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
3D shape reconstruction of colon with model-based unsupervised depth estimation Natsu Onozaka (Nagoya Univ.), Hayato Itoh (Fukuoka Univ.), Masahiro Oda (Nagoya Univ.), Masashi Misawa (Showa Univ.), Yuichi Mori (UiO), Shin-ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) MI2023-60 |
We propose unsupervised trainig for the pose estimation in 3D reconstrcution of the colon from colonoscopic images by cl... [more] |
MI2023-60 pp.87-90 |
MI |
2024-03-04 09:36 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Overfitting Prevention for PET Image Reconstruction using Early Stopping of Deep Image Prior based on Unbiased Risk Estimator Kaito Matsumura, Hidekata Hontani (NIT), Muneyuki Sakata (TMIG), Yuichi Kimura (KDU), Tatsuya Yokota (NIT) MI2023-65 |
In recent years, methods for PET image reconstruction using Deep Image Prior (DIP) have been actively studied. In PET im... [more] |
MI2023-65 pp.106-108 |
EMM |
2024-03-02 14:00 |
Overseas |
Day1:JEJU TECHNOPARK, Day2:JEJU Business Agency |
[Poster Presentation]
Classification of AI generated images by sparse coding Daishi Tanaka, Michiharu Niimi (KIT) EMM2023-89 |
In recent years, advancements in generative AI technologies have made it increasingly challenging for human vision to di... [more] |
EMM2023-89 pp.1-6 |
MI, MICT |
2023-11-14 15:40 |
Fukuoka |
|
Improving image quality of sparse-view micro-CT using Wasserstein GAN Naoki Ikezawa, Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) MICT2023-36 MI2023-29 |
Applications of micro-CT in pathology and histology have been studied in recent years, and we need to shorten the scanni... [more] |
MICT2023-36 MI2023-29 pp.45-47 |
EST, MW, EMT, OPE, MWPTHz, IEE-EMT [detail] |
2023-07-20 11:25 |
Hokkaido |
Muroran Institute of Technology (Primary: On-site, Secondary: Online) |
Millimeter-Wave Three-Dimensional Imaging using Dielectric Lens for Security Application Arie Setiawan, Shu Sato (Mie Univ.), Naruto Yonemoto (ENRI), Hitoshi Nohmi (Alouette Technlogy Inc.), Hiroshi Murata (Mie Univ.) EMT2023-27 MW2023-45 OPE2023-27 EST2023-27 MWPTHz2023-23 |
Millimeter-wave (mmW) has been an increasingly attractive research area in security solutions due to its ability to pene... [more] |
EMT2023-27 MW2023-45 OPE2023-27 EST2023-27 MWPTHz2023-23 pp.100-105 |
SANE |
2023-06-30 13:25 |
Kanagawa |
JAXA Sagamihara Campus (Primary: On-site, Secondary: Online) |
Study on 3-D Bistatic Synthetic Aperture Radar Image Reconstruction Takuma Watanabe (Univ. of Toyama) SANE2023-19 |
Synthetic aperture radar (SAR) has been widely utilized in various research fields such as near-field radar cross sectio... [more] |
SANE2023-19 pp.21-24 |
SANE |
2023-05-23 11:00 |
Kanagawa |
Information Technology R & D Center, MITSUBISHI Electric Corp. (Primary: On-site, Secondary: Online) |
Theoretical Study on Bistatic Circular SAR Image Reconstruction Takuma Watanabe (FSI) SANE2023-5 |
Circular synthetic aperture radar (CSAR) is a type of imaging radar in which the radar-carrying platform moves along a c... [more] |
SANE2023-5 pp.24-29 |
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 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-16 10:10 |
Okinawa |
Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Trends and Prospects of Free Viewpoint Video Technologies Toshiaki Fujii (Nagoya Univ.) IMQ2022-50 CQ2022-91 IE2022-127 MVE2022-80 |
This presentation will review previous research on free viewpoint video technology and introduce recent technological tr... [more] |
IMQ2022-50 CQ2022-91 IE2022-127 MVE2022-80 p.149(IMQ), p.57(CQ), p.149(IE), p.149(MVE) |
NC, MBE (Joint) |
2023-03-14 13:55 |
Tokyo |
The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Compton Scattering X-ray CT using Iterative Reconstruction Method Ryota Nakashima, Naohiro Toda (Aichi Prefectural Univ.) MBE2022-62 |
X-ray CT(Computed Tomography) is a device that uses a computer to reconstruct a tomographic image from the intensity dat... [more] |
MBE2022-62 pp.17-22 |
NC, MBE (Joint) |
2023-03-14 14:20 |
Tokyo |
The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Principle Study of the Dual-Energy Method Introducing Scattered X-rays Takumi Nishiyama, Naohiro Toda (Aichi Prefectural Univ.) MBE2022-63 |
X-ray CT is a medical imaging system in which an X-ray source is rotated along a cross-section of the human body, the tr... [more] |
MBE2022-63 pp.23-26 |
MI |
2023-03-07 14:59 |
Okinawa |
OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Penalized 3D PET image reconstruction using deep image prior Fumio Hashimoto, Yuya Onishi, Kibo Ote (HPK), Hideaki Tashima, Taiga Yamaya (QST) MI2022-118 |
(To be available after the conference date) [more] |
MI2022-118 pp.181-183 |
MI |
2023-03-07 15:25 |
Okinawa |
OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
An artifact reduction technique for sparse-view CT using frame interpolation Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) MI2022-120 |
Sparse-view CT is an imaging technique that reconstructs images by reducing the number of projection data. Although spar... [more] |
MI2022-120 pp.190-191 |