| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| IEICE-SDM, IEICE-ICD, IST [detail] |
2021-08-17
14:20 |
Online |
Online |
Study of an Event-Driven CMOS Image Sensor Using Deep Learning (2)
-- An A/D Converter with Low-Resolution and Power-Saving Operation Mode --
Koshiro Itsuki, Shunsuke Okura (Ritsumeikan Univ.) |
With the progress of the IoT and the Trillion Sensor Universe，the amount of information collected by CMOS image sensors ... [more] |
IST2021-44
pp.35-40 |
| ME |
2021-07-16
13:00 |
Online |
Online |
Dynamic Three-Dimensional Measurement of Abdomen Using Moiré Analysis and Its Use for Detection of Abnormal Respiratory Based on Deep Learning
Yuki Mochizuki, Norio Tagawa (Tokyo Metro. Univ.) |
Currently, paramedics cannot make triage judgments in ambulances during emergency transportation of infants. If this can... [more] |
ME2021-61
pp.1-4 |
| ME |
2021-07-16
13:30 |
Online |
Online |
High-resolution ultrasound imaging with efficient synthesis of transmission angles and frequency subbands based on deep learning
Emi Aiura, Yuta Saito, Norio Tagawa (Tokyo Metro Univ.) |
Ultrasound imaging is widely used in the medical field because it is non-invasive and can be imaged in real time. We hav... [more] |
ME2021-62
pp.5-7 |
| ME |
2021-07-16
14:00 |
Online |
Online |
Image Quality Improvements Using Half Fourier Encoding Method and Non-random Signal Under-sampling in CS-MRI Deep Learning Reconstruction
Yuta Miyamoto, Satoshi Ito (Utsunomiya Univ.) |
Compressed Sensing has the potential to reduce the scan time of MRI, and recently, deep learning has attract at tensions... [more] |
ME2021-63
pp.9-11 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
10:20 |
Online |
Online |
A Note on Improving Performance of Deep Learning-based Distress Detection for Supporting Maintenance of Subway Tunnels
-- Accuracy Verification Focusing on Tunnel Wall Characteristics --
Tomoki Haruyama, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents the performance improvement of deep learning-based distress detection to support the maintenance of ... [more] |
MMS2021-1 ME2021-1 AIT2021-1
pp.1-6 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
11:35 |
Online |
Online |
A Note on Accurate Distress Image Classification of Road Structures Using Attention Map based on Text Data
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a correlation-aware attention branch network (CorABN) using multi-modal data for deterioration level... [more] |
MMS2021-4 ME2021-4 AIT2021-4
pp.17-21 |
| 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 |
| ME, SIP |
2020-12-16
14:10 |
Online |
Online |
Infrastructure Required for Improving the Utilization of Human Pose Estimation in Sports Area
Koji Nakagawa, Chikara Miyaji (Teikyo Univ.) |
Human pose estimation systems, which realize marker-less motion capture, started to be utilized in sports area. These sy... [more] |
ME2020-104
pp.9-12 |
| 3DMT, IEICE-SIS, IPSJ-AVM [detail] |
2020-06-03
15:10 |
Online |
G Square (Hakodate Community Plaza) |
3D Animation of a Humanoid Model using EMG Sensors
Tsutomu Horikoshi, Yoshie Nogami (SIT) |
In marine sports such as surfing, it is difficult to practice repeatedly under the same conditions. On the other hand, V... [more] |
3DIT2020-11
pp.25-29 |
| IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] |
2020-05-28
15:40 |
Online |
Online |
People counting device using real-time face detection by AI camera
Koki Takebe, Junichi Akita (Kanazawa Univ) |
Recent progress of semiconductor technology has been enabling small and inexpensive devices to execute the neural networ... [more] |
IST2020-31 ME2020-82
pp.37-40 |
| 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
11:20 |
Tokyo |
Tokyo University of Technology
(Cancelled) |
Approximation of Log-Aesthetic Curves using ODE-Net
Seiya Sakurai, Norimasa Yoshida (Nihon Univ.) |
In conventional deep learning, it is difficult to obtain the desired accuracy unless the time interval is constant. A me... [more] |
AIT2020-89
pp.135-136 |
| 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 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
13:30 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
Chromatic Aberration Correction of Color Images Using Deep Learning with Each Channel Training Based on Contrast Enhancement
Naoto Nagashima, Mitsuhiko Meguro (Nihon Univ.) |
In this paper, we propose a new correcting method of chromatic aberration occurring in color images using Deep Learning.... [more] |
|
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
13:45 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
Zero-Shot Conditional Inpainting
Naoki Kato, Toshihiko Yamasaki (UTokyo) |
Image processing for objects of the unseen classes is sometimes needed, and one of the solutions of that is ``zero-shot ... [more] |
|
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
14:15 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
Translation from Line Drawings to Manga Using Deep Learning by Adding a Screentone Layer
Koki Tsubota, Daiki Ikami, Kiyoharu Aizawa (UTokyo) |
The translation from line drawings to manga is one of the processes for creating manga and the automation of this proces... [more] |
|
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
15:10 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
|
(To be available after the conference date) [more] |
|
| BCT, KYUSHU, IEEE-BT, IEEE-AP-S-FUKUOKA |
2020-01-23
16:20 |
Kagoshima |
|
[Special Talk]
Intelligent Robot & AI Technology for Pioneering Our Future
Mutsumi Watanabe (Kagoshima Univ.) |
The lecturer introduces the history of artificial intelligence (AI) and intelligent robots which the lecturer have devel... [more] |
BCT2020-9
pp.29-36 |
| SIP, ME |
2019-11-14
13:25 |
Kumamoto |
Sojo University, Main Campus |
A Proposal of MLOps for Motion Capture Systems Satisfying Sports Demands by Using Human Pose Estimation
Koji Nakagawa, Chikara Miyaji (Teikyo Univ.) |
In the sports research, motion capture systems are used widely and effectively. Recently the deep learning progress for ... [more] |
ME2019-118
pp.15-18 |