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 |
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, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22 14:40 |
Online |
online |
A Study on Object Detection in Omnidirectional Images Using Deep Learning Yasuyuki Ishida, Toshio Ito (SIT) |
A minimum sensor configuration is desired for a popular automatic vehicle. In this study, an omnidirectional camera with... [more] |
|
BCT, IEEE-BT |
2021-09-03 13:35 |
Online |
Online |
Convolutional Radio Modulation Recognition Networks with Attention Models in Wireless Systems Haohui Jia, Na Chen, Minoru Okada (NAIST) |
In modern wireless systems, deep learning (DL) shows promising performance for wireless signal processing. DL model driv... [more] |
BCT2021-35 pp.1-4 |
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18 14:50 |
Online |
Online |
A Note on Estimation of Deteriorated Regions Based on Anomaly Detection from Rubber Material Electron Microscope Images
-- Verification of Feature Representations Extracted from Deep Learning Models -- Masanao Matsumoto, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ) |
This paper presents an anomaly detection method for estimation of deteriorated regions from rubber material electron mic... [more] |
MMS2021-9 ME2021-9 AIT2021-9 pp.43-46 |
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] |
|
AIT, IIEEJ, AS, CG-ARTS |
2020-03-13 15:30 |
Tokyo |
Tokyo University of Technology (Cancelled) |
Toward script translation in calligraphic works using deep learning
-- Character recognition of seal scripts -- Shohei Ninomiya, Masanori Nakayama, Atsushi Miyazawa, Issei Fujishiro (Keio Univ.) |
Calligraphic scripts are classified broadly into five types: seal, clerical, cursive, running, and standard. In this stu... [more] |
AIT2020-69 pp.75-78 |
AIT, IIEEJ, AS, CG-ARTS |
2020-03-13 14:20 |
Tokyo |
Tokyo University of Technology (Cancelled) |
Speaker Identification for Evaluating Speaking Activities in Seminar using Deep Learning Tomoki Akita, Norimasa Yoshida (Nihon Univ.) |
In seminars, students are expected to participate actively. In this study, we would like to create a system that can me... [more] |
AIT2020-144 pp.313-314 |
IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] |
2018-02-15 15:45 |
Hokkaido |
Hokkaido Univ. |
A Note on Estimation of Users' Emotion Evoked During Listening to Music
-- Performance Improvement Based on Deep Learning Method -- Hakusyou Dan, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method that estimates users’ emotion evoked during listening to music. In our method, we use audio... [more] |
MMS2018-21 HI2018-21 ME2018-21 AIT2018-21 pp.201-206 |
ME, CE, IPSJ-AVM, IEICE-IE [detail] |
2016-08-08 13:30 |
Fukuoka |
|
Multi-stage identification of GGO candidate regions using DCNN and SVM Kazuki Hirayama, Joo Kooi Tan, Hyoungseop Kim (KIT), Takatoshi Aoki (UOEH), Shoji Kido (YU) |
Recently, the development of CAD (Computer Aided Diagnosis) system for the purpose of reducing the burden to the physici... [more] |
|