Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
AIT, 3DMT, OSJ-HODIC |
2023-09-08 17:15 |
Tokyo |
Nihon Univ. College of Science and Technology (Surugadai Campus) |
|
Phase unwrapping is a technique used to recover the original phase from the wrapped phase in the range (−π, π]. Conventi... [more] |
AIT2023-147 3DMT2023-34 pp.33-36 |
ME, IEICE-EMM, IEICE-IE, IEICE-LOIS, IEE-CMN, IPSJ-AVM [detail] |
2023-09-07 09:50 |
Osaka |
Osaka Metropolitan Univ. (Primary: On-site, Secondary: Online) |
Improving Performance of Convolutional Neural Network-Based Driver Behavior Recognition Shengbiao Wang, Koji Iwano (Tokyo City Univ.) |
This study investigates the automatic recognition of driver behaviors using images captured by in-vehicle cameras for th... [more] |
ME2023-90 pp.7-12 |
IST |
2023-06-21 14:10 |
Tokyo |
Tokyo University of Science Morito Memorial Hall |
[Poster Presentation]
Verification of the effectiveness of multitask learning for demosaicking and white-balancing Yuki Nakagomi, Ryoya Takeuchi, Taishi Iriyama, Takashi Komuro (Saitama Univ) |
In this study, we conducted an investigation on the learning effectiveness of jointly training demosaicking and white ba... [more] |
IST2023-25 pp.19-22 |
MMS, ME, AIT, IEICE-IE, IEICE-ITS [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] |
MMS2023-31 ME2023-51 AIT2023-31 pp.235-238 |
IIEEJ, AIT |
2022-10-30 16:00 |
Online |
on line |
A Trial of Recognition of Electronic Parts by Deep-Learning for Efficient Recycling Yihong Tang, Tomonori Izumi (Ritsumeikan Univ.) |
In order to improve material-recycling of disposed electronic appliances, we aim to develop a system to analyze and cate... [more] |
AIT2022-177 pp.19-22 |
3DMT |
2022-10-17 15:40 |
Tochigi |
(Primary: On-site, Secondary: Online) |
Blurring correction using super-resolution on convolutional neural Network for aerial image with dihedral corner reflector array Takumi Nagao, Daisuke Miyazaki (Osaka Metropolitan Univ.) |
Aerial images with dihedral corner reflector array have the advantages that they do not have image aberration and restri... [more] |
3DMT2022-47 pp.29-32 |
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-20 16:40 |
Kumamoto |
Kumamoto University (Primary: On-site, Secondary: Online) |
3D Medical Image Segmentation Using 2.5D Deformable Convolutional CNN Yuya Okumura, Kudo Hiroyuki, Takizawa Hotaka (Tsukuba Univ.) |
An effective method to improve the accuracy of 3D medical image segmentation using deep learning is to use deformable co... [more] |
|
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-20 17:00 |
Kumamoto |
Kumamoto University (Primary: On-site, Secondary: Online) |
Deformable registration of 3D medical images with Deep Residual UNet Taiga Nakamura, Yuki Sato, Hiroyuki Kudo, Hotaka Takizawa (Univ. of Tsukuba) |
(To be available after the conference date) [more] |
|
AIT, IIEEJ, AS, CG-ARTS |
2022-03-08 10:30 |
Online |
Online |
Towards the 3D reconstruction from illustration images Shen Qian, Itoh Takayuki (Ocha Univ.) |
This paper presents our trial of 3D model reconstruction from illustration images. Recovery of the depth information i... [more] |
AIT2022-100 pp.243-245 |
ME |
2022-02-12 10:45 |
Online |
online |
Study on Deep Learning Reconstruction of MRI Complex Images Using Real-value CNN Itona Fukatsu, Kazuki Yamato, Satoshi Ito (Utsunomiya Univ.) |
Application of compressed sensing has been applied to speed up the data acquisition time for MR imaging. In recent years... [more] |
ME2022-7 pp.25-27 |
AIT, IIEEJ, AS, CG-ARTS |
2021-03-08 13:30 |
Online |
Online |
An Experimental Study on Recognizing Kuzushiji using Deep Learning Fumiya Masuda, Syuhei Sato, Shangce Gao, Zheng Tang (Univ. of Toyama) |
Kuzushiji is a typeface used in ancient documents, and has a characteristic of fluent handwriting with a brush. Ancient ... [more] |
AIT2021-90 pp.205-206 |
BCT, IEEE-BT |
2022-02-17 13:20 |
Online |
TBD |
Channel Estimation to Mitigate Channel Aging in Massive MIMO with Pilot Contamination Hiroki Hirose, Tomoaki Ohtsuki (Keio Univ.) |
In a massive multiple-input mltiple-output (MIMO) system based on time division duplex (TDD), the channel state informat... [more] |
BCT2021-12 pp.13-16 |
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18 14:50 |
Online |
Online |
Production and Evaluation of Data Set for Semantic Segmentation of 3D CG Image by H.265/HEVC Norifumi Kawabata (Tokyo Univ. of Science) |
As one of purpose of study on image segmentation, we are able to consider whether between object and background region c... [more] |
|
IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] |
2020-05-29 14:30 |
Online |
Online |
A method for analyze causes of deterioration of predict quality when Deep Learning is applied to instance segmentation Tomonori Kubota, Takanori Nakao, Masafumi Katoh, Eiji Yoshida, Hidenobu Miyoshi (Fujitsu Lab.) |
In this paper, we propose a method to analyze the cause of deterioration of prediction accuracy in instance segmentation... [more] |
|
ME |
2020-02-08 14:45 |
Kanagawa |
Kanto Gakuin University |
Convolutional Neural Network-based bird detection and species recognition from images automatically captured in real environment Tiankuang Li, Hiroki Kuroda, Wataru Kitamura, Koji Iwano (Tokyo City Univ.) |
Recently, "bird baths" have been installed in various places with the aim of conserving wild birds. In this research, we... [more] |
ME2020-26 pp.89-92 |
AIT, IIEEJ, AS, CG-ARTS |
2019-03-12 15:45 |
Tokyo |
Waseda Univ. |
Semantic Segmentation for 3D Human Models Satoshi Yamaguchi, Yoshihiro Kanamori, Jun Mitani (University of Tsukuba) |
We propose a technique for semantic segmentation of 3D human models. Existing techniques for general 3D objects solely r... [more] |
AIT2019-80 pp.119-122 |
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20 13:30 |
Hokkaido |
Hokkaido Univ. |
Evaluation of Multi-level Data Demodulation Using Convolutional Neural Networks for Holographic Data Storage Yutaro Katano, Tetsuhiko Muroi, Nobuhiro Kinoshita, Norihiko Ishii (NHK) |
Holographic data storage (HDS) is a promising next generation archival memory with large capacity, high data-transfer ra... [more] |
MMS2019-20 HI2019-20 ME2019-42 AIT2019-20 pp.205-208 |
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20 13:15 |
Hokkaido |
Hokkaido Univ. |
A Note on Gastritis Detection from Gastric X-ray Images via Transfer Learning Approach Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method for gastritis detection from gastric X-ray images via a transfer learning approach using a ... [more] |
MMS2019-37 HI2019-37 ME2019-59 AIT2019-37 pp.315-318 |
IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] |
2018-02-16 13:15 |
Hokkaido |
Hokkaido Univ. |
Suppression of Inter-symbol Interference by Convolutional Neural Networks for Holographic Data Storage Yutaro Katano, Tetsuhiko Muroi, Kinoshita Nobuhiro, Norihiko Ishii (NHK) |
Holographic data storage (HDS) is a promising for next generation archival media. In reproduction, reproduced data of tw... [more] |
MMS2018-25 HI2018-25 ME2018-25 AIT2018-25 pp.267-270 |
HI |
2017-03-08 14:25 |
Tokyo |
Tokyo University of Agriculture and Technology |
A study on estimation of car orientation using convolution neural networks Toyota Tomoya, Yasushi Tauchi, Yoshiki Mizukami (Yamaguchi Univ.) |
While advanced driver assistance system becomes popular in these days, further improvement of detection and recognition ... [more] |
HI2017-57 pp.17-20 |