| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| AIT, IIEEJ, AS, CG-ARTS |
2024-03-05
13:42 |
Tokyo |
Tokyo University of Technology |
Development of a Diagnostic Support System for Intranasal Disease
Kaho Ukai, Youngha Chang, Nobuhiko Mukai (TCU), Kojiro Hirano, Kouzou Murakami (SUSM/SUH) |
In this research, a support system has been developed to diagnose whether an endoscopic image shows "severely abnormal n... [more] |
AIT2024-70
pp.135-138 |
| IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] |
2024-02-19
12:00 |
Hokkaido |
Hokkaido Univ. |
Artificial intelligence super-resolution technology for optical satellite images
Yuhei Kikuya, Toshiki Fujino, Kohei Kurihara, Yoshitaka Toyoda, Muneharu Kuwata (Mitsubishi Electric) |
In recent years, the need for services and solutions using satellite imagery has been increasing. By using satellite ima... [more] |
MMS2024-7 ME2024-23 AIT2024-7
pp.34-38 |
| IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] |
2024-02-19
14:15 |
Hokkaido |
Hokkaido Univ. |
A Note on Reduced Reference Image Quality Assessment for Neural Radiance Fields
Masato Kawai, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper proposes Reduced Reference Image Quality Assessment (RR IQA) from monocular dynamic scene images for Neural R... [more] |
MMS2024-11 ME2024-27 AIT2024-11
pp.55-60 |
| ME, SIP, TOKAI |
2022-12-07
13:35 |
Aichi |
(Primary: On-site, Secondary: Online) |
Skeleton Estimation for Swing based on Deep Model by Introducing Articulation Constraints into Training
Atsuki Sakata, Shogo Kihira, Nobutaka Shimada (Ritsumeikan Univ.), Yuki Nagano, Masahiki Ueda (SRI) |
For the purpose of developing the automatic diagnosis system of players' golf swing, we propose a method for estimating ... [more] |
ME2022-91 SIP2022-10
pp.23-26 |
| HI, VRPSY, JSKE |
2022-11-25
13:25 |
Osaka |
Kindai Univ. |
The Application of Human Perception Bias to Video Production
Ka Isato, Sakai Shigekazu (Waseda) |
The phenomenon in psychology called bias exists in various fields such as business and sports, and it affects our judgme... [more] |
HI2022-23
pp.1-2 |
| BCT, IEICE-SIS |
2022-10-14
09:40 |
Aomori |
Hachinohe Institute of Technology
(Primary: On-site, Secondary: Online) |
Creation of subjective evaluation datasets for Print Quality Assessment
Ryosuke Tonegawa, Yosuke Sugiura, Nozomiko Yasui, Tetsuya Shimamura (Saitama Univ) |
There does not exist image quality assessment (IQA) dataset for image with print-specific defects so far. This dataset c... [more] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2022-03-08
13:50 |
Online |
Online |
An Experimental Study on Estimating Residual Quantity of Foodstuff based on Deep Learning using 3D Model
Hiromu Takata, Syuhei Sato, Shangce Gao, Zheng Tang (Univ. Of Toyama) |
With the recent development of deep learning techniques, many image recognition methods have been proposed for various o... [more] |
AIT2022-147
pp.393-394 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
12:45 |
Online |
online |
Regularizing Generative Adversarial Networks with Internal Representation of Generators
Yusuke Hara, Toshihiko Yamasaki (UTokyo) |
In training generative adversarial networks, maintaining the criteria of the discriminator stably is crucial to training... [more] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
13:15 |
Online |
online |
Towards Universal Deep Image Compression
Koki Tsubota (UTokyo), Hiroaki Akutsu (Hitachi), Kiyoharu Aizawa (UTokyo) |
In this paper, we investigate deep image compression towards universal usage. In image compression, it is desirable to b... [more] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
15:35 |
Online |
online |
Liver Tumor Segmentation by Using a Massive-Training Artificial Neural Network (MTANN) and its Analysis in Liver CT.
Yuqiao Yang, Muneyuki Sato, Ze Jin, Kenji Suzuki (Tokyo Tech) |
Based on a 3D massive-training artificial neural network (MTANN) combined with a Hessian-based ellipse enhancer, a small... [more] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22
13:00 |
Online |
online |
|
360° cameras have gained popularity over the last few years. Meanwhile, the development of Deep Neural Networks (DNNs) h... [more] |
|
| BCT, IEICE-SIS |
2021-10-07
14:25 |
Online |
online |
Block-wise Transformation with Secret Key for Adversary Robust Defence of SVM model
Ryota Iijima, MaungMaung AprilPyone, Hitoshi Kiya (TMU) |
In this paper, we propose a method for implementing support vector machine (SVM) models that are robust against adversar... [more] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2021-03-08
11:15 |
Online |
Online |
Proposal for an application to correct amblyopia using VR technology
Bai Wanle, Kunio Kondo, Kazuo Sasaki (TUT) |
With the technological advances of the last few years, it could be a great potential in amblyopia recovery: the use of V... [more] |
AIT2021-58
pp.109-110 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
13:00 |
Online |
Online |
A Note on Automatic Diagnosis of Helicobacter Pylori Infection Based on EfficientNet with Flooding Loss
Guang Li, Ren Togo (Hokkaido Univ.), Katsuhiro Mabe (Junpukai Health Maintenance Center), Shunpei Nishida (Olympus), Yoshihiro Tomoda, Hikari Shimizu (Olympus Medical Systems), Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method for automatically diagnosing Helicobacter pylori (H. pylori) infection based on EfficientNe... [more] |
MMS2021-5 ME2021-5 AIT2021-5
pp.23-26 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-19
14:15 |
Online |
Online |
[Special Talk]
A Note on Electron Microscope Image Generation from Mix Proportion via Conditional Style Generative Adversarial Network for Rubber Materials
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Estimating the properties of rubber materials from ingredients is necessary to accelerate rubber material development. I... [more] |
MMS2021-22 ME2021-22 AIT2021-22
pp.171-175 |
| 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] |
|
| 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 |
| HI, IEICE-MVE |
2018-06-15
16:00 |
Tokyo |
FUKUTAKE Learning Theater, Fukutake Hall, The University of Tokyo |
A study of difficulty control method in change detection task using everyday object images
Takeshi Hizukuri, Takatsugu Hirayama, Yu Enokibori, Kenji Mase (Nagoya Univ.) |
Demand for dementia prevention has been increasing in recent years. Cognitive training is being carried out to improve c... [more] |
|
| ME, SIP [detail] |
2016-12-05
15:10 |
Tokyo |
Waseda Univ. |
Support image training for sports
Takeo Ishii (Matsudo Orthopaedic hospital), Asato Okamura (Tsukuba Univ.), Masaki Hayashi, Ryunosuke Kurose, Yoshimitsu Aoki (Keio Univ.) |
We developed a low-effort and -time body motion analysis system utilizing home-use digital video camera. Inputting the m... [more] |
ME2016-129
pp.17-20 |
| HI, IEICE-MVE, VRSJ, HI-SIG-VR |
2013-06-25
16:40 |
Tokyo |
Sanjo Conference Hall |
Luminance pfofile of chromosome images of karyotype with G-band
Yoshitaka Fujii, Mieko Kogi (KIT), Hiromitsu Shimada, Yoshichika Sanada, Toshiaki Morozumi, Taku Yoshida (NGRL), Tatsuya Yoshizawa (KIT) |
In general, chromosome analysis has been carried out manually by specialists. The specialists are therefore required exp... [more] |
HI2013-58
pp.45-48 |