| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| 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] |
|
| 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 |
| IEICE-LOIS, IEICE-EMM, IEICE-IE, IEE-CMN, ME, IPSJ-AVM [detail] |
2020-09-01
17:20 |
Online |
Online |
Study on automatic label masking method for plant specimen images using CTPN
Depeng Zhang, Yasuhiko Higaki, Yasuo Sugai (Chiba Univ.) |
In this study, the image processing required for registration of the Haginiwa plant specimen image database in c-arc. Si... [more] |
|
| 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
10:00 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
Crate Classifiers of Activity Measurement by Automatic learning for Aquaculture
Motonori Saeki, Nobuo Ezaki, Kaito Hattori (NITTC), Osamu Takahashi (ISE C.L), Tatsuhiko Sakamoto (Mie Univ.) |
In the timer type automatic feeding on sea farming, only a fixed amount can be fed at a time and may occur overfeeding a... [more] |
MMS2020-2 HI2020-2 ME2020-30 AIT2020-2
pp.7-11 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
14:15 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
A note on detection of distress regions in subway tunnels by using U-net based network
An Wang, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ) |
This paper presents an automated distress region detection method using subway tunnel images. We previously proposed a m... [more] |
MMS2020-14 HI2020-14 ME2020-42 AIT2020-14
pp.69-72 |
| 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] |
|
| 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 |
| IEICE-IE, IEICE-EMM, IEICE-LOIS, IEE-CMN, ME, IPSJ-AVM [detail] |
2019-09-19
13:45 |
Niigata |
Tokimeito, Niigata University |
Super Resolution for 8K Endoscopic Images Based on Deep Learning
Ayumu Wada, Seiichi Gohshi (Kogakuin Univ) |
Endoscopic operation is performed by inserting a camera through 1 cm holes into the body, and it has a smaller incision ... [more] |
|
| IEICE-IE, IEICE-EMM, IEICE-LOIS, IEE-CMN, ME, IPSJ-AVM [detail] |
2019-09-19
15:35 |
Niigata |
Tokimeito, Niigata University |
Digital watermarking method against print-cam attack using deep learning for synchronization
Hiroyuki Imagawa, Motoi Iwata, Koichi Kise (Osaka Pref. Univ.) |
In this paper, we propose a novel watermarking method against print-cam attack.
Digital watermarking is used to get inf... [more] |
|
| IEICE-SIS, IPSJ-AVM, 3DMT [detail] |
2019-06-13
13:15 |
Nagasaki |
Fukue Culture Center |
Autoencoders having surplus neurons in a hidden layer
Akihiro Suzuki, Hakaru Tamukoh (KYUTECH) |
Unknown data is not compatible with a supervised training. This study employ autoencoders (AEs) to detect unknwon data. ... [more] |
|
| IEICE-SIS, IPSJ-AVM, 3DMT [detail] |
2019-06-13
13:55 |
Nagasaki |
Fukue Culture Center |
Accuracy Improvement of Depth Estimation from a Single Still Image Using Feature Pyramid Network
Yudai Fukuda, Takuro Oki, Ryusuke Miyamoto (Meiji Univ.) |
Depth estimation from a single shot image have become accurate drastically after emergence of deep
neural networks that... [more] |
|