Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ME |
2024-02-10 14:15 |
Online |
online |
Preliminary study on extraction of c-Fos regions from mouse brain images by use of multi-channelization, 1x1 convolution and U-net Ziyue Wang, Hibiki Okamura, Yu Hayashi, Hotaka Takizawa (Univ. of Tsukuba) |
This report proposes a method for extracting the expression regions of c-Fos protein from brain slice images of experime... [more] |
ME2024-13 pp.44-46 |
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 |
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-21 10:45 |
Hokkaido |
Hokkaido Univ. |
A Note on Multi-label Image Classification in Animation Illustration Considering Hierarchical Relationships of Attributes Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a multi-label classification of animated illustrations considering the hierarchical relationships of... [more] |
MMS2023-2 ME2023-22 AIT2023-2 pp.5-9 |
ME, SIP, TOKAI |
2022-12-07 14:00 |
Aichi |
(Primary: On-site, Secondary: Online) |
Examination of Evaluation Method of Simultaneity in Human Motion Yuna Hara, Keiji Gyohten, Hidehiro Ohki, Toshiya Takami (Oita Univ) |
In recent years, ICT-based systems have begun to be used in the field of sports. The purpose of this study is to quantif... [more] |
ME2022-92 SIP2022-11 pp.27-30 |
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] |
|
AIT, ME, MMS, IEICE-IE, IEICE-ITS [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] |
MMS2022-28 ME2022-53 AIT2022-28 pp.349-353 |
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 13:50 |
Online |
Online |
Detecting axillary lymph node metastasis of breast cancer with FDG-PET/CT images based on attention mechanism Zongyao Li, Ren Togo, Kenji Hirata (Hokkaido Univ.), Kazuhiro Kitajima (Hyogo Med.), Junki Takenaka (Hokkaido Univ.), Yasuo Miyoshi (Hyogo Med.), Kohsuke Kudo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Determination of axillary nodal status is significant to treatment of breast cancer. Typically, the diagnosis of axillar... [more] |
MMS2021-7 ME2021-7 AIT2021-7 pp.33-36 |
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] |
2020-05-28 10:50 |
Online |
Online |
[Special Talk]
High-dimensional Signal Restoration by Convolutional Networks Driving Fusion Across Multiple Disciplines
-- Sparse Modeling and Convolutional Dictionary Learning -- Shogo Muramatsu (Niigata Univ.) |
This talk outlines a restoration process of high-dimensional signals such as image and volumetric data. With the develop... [more] |
IST2020-30 ME2020-81 p.13 |
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] |
|
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27 16:35 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
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] |
MMS2020-22 HI2020-22 ME2020-50 AIT2020-22 pp.113-118 |
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27 13:00 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
Video Coding Using Optimal Intra Prediction Mode Estimation by CNN Ryota Yokoyama, Masahiko Tahara (Waseda Univ.), Heming Sun (Waseda Univ./JST), Masaru Takeuchi (Waseda Univ.), Yasutaka Matsuo (NHK), Jiro Katto (Waseda Univ.) |
These days, efficient video coding is required due to spread of video production and viewing, and high definition video.... [more] |
|
BCT, IEEE-BT |
2020-02-20 14:15 |
Shiga |
|
Learning-Based Channel Estimation for Massive MIMO with Pilot Contamination and Its Impact of Model Mismatch in Training Hiroki Hirose, Tomoaki Ohtsuki (Keio Univ.) |
In massive multiple-input multiple-output (MIMO), a base station (BS) needs accurate estimation of channel state informa... [more] |
BCT2020-24 pp.13-16 |
ME |
2020-02-08 12:15 |
Kanagawa |
Kanto Gakuin University |
Extension of blind image restoration using sparse optimization to multispectral images Dan Suto, Yoshitaka Izumi, Souta Kawakami, Hiroyuki Kudo (Tsukuba Univ.) |
Blind image restoration is a method of restoring a clear image only from an image that has deteriorated due to defocus o... [more] |
ME2020-8 pp.23-26 |
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 |