| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
13:05 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
Study on matching method between satellite and ground images using CLIP model
Momoko Maezawa, Rei Endo, Naotsuna Fujimori, Takahiro Mochizuki (NHK) |
(To be available after the conference date) [more] |
|
| KANSAI |
2024-12-22
11:45 |
Osaka |
Osaka Metropolitan University, I-site Namba (Osaka) |
A Study on the Sensitivity of 8-Shared Pixels for a Feature-Extractable CMOS Image Sensor
Daichi Anami, Yu Osuka, Yudai Morikaku (Ritsumeikan Univ.), Ryuichi Ujiie, Daisuke Morikawa, Hideki Shima (Nisshinbo Micro Devices Inc.), Shunsuke Okura (Ritsumeikan Univ.) |
For the coming trillion-sensor universe， we have proposed a CMOS image sensor pixel that can extract a feature for energ... [more] |
|
| ME |
2024-10-21
15:45 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Tokyo) |
Descriptive text generation with person names for TV program video
Naotsuna Fujimori (NHK), Masahide Naemura (NHK Foundation), Takahiro Mochizuki (NHK) |
In order to enhance the efficacy of program production, it is imperative that technology be employed to automatically ge... [more] |
ME2024-92
pp.15-18 |
| ME, IEICE-EMM, IEICE-IE, IEICE-LOIS, IEE-CMN, IPSJ-AVM [detail] |
2024-09-04
15:30 |
Hiroshima |
Hiroshima Institute of Technology (Hiroshima, Online)
(Primary: On-site, Secondary: Online) |
The Research on Dangerous Behavior Recognition and Warning System for Escalators Based on Deep Learning Models
YongXuan Zhu, Hiroyuki Nakamura (S.I.T) |
In this study, we developed a system that uses deep learning and image recognition technology to identify potential dang... [more] |
ME2024-80
pp.1-5 |
| ME, IEICE-EMM, IEICE-IE, IEICE-LOIS, IEE-CMN, IPSJ-AVM [detail] |
2024-09-05
16:30 |
Hiroshima |
Hiroshima Institute of Technology (Hiroshima, Online)
(Primary: On-site, Secondary: Online) |
Proposal of an Emotion Recognition System for Improving Video Viewing Experience of Visually Impaired Individuals
Zhiyuan Ning, Hiroyuki Nakamura (S.I.T) |
The rapid growth of short video platforms like TikTok has highlighted the need for improved accessibility for visually i... [more] |
ME2024-86
pp.37-40 |
| IIEEJ, AIT |
2024-06-05
11:30 |
Tokyo |
Tokyo Information Design Professional University (Tokyo, Online)
(Primary: On-site, Secondary: Online) |
Performance Evaluation of Machine Learning Models using Entropy of Images
Riko Abe, Yuya Dan (Matsuyama Univ.) |
In machine learning with artificial neural networks, there are differences in recognition accuracy in learning models of... [more] |
AIT2024-146
pp.17-20 |
| IIEEJ, AIT |
2024-06-05
15:00 |
Tokyo |
Tokyo Information Design Professional University (Tokyo, Online)
(Primary: On-site, Secondary: Online) |
A Study on Posture Identification for Piano Learning Using Machine Learning
Yuki Michisita, Yao Bao (Tokyo City Univ.) |
The piano is a well-known instrument throughout the world, and the posture in which one plays affects one's progress on ... [more] |
AIT2024-150
pp.33-36 |
| IIEEJ, AIT |
2024-06-05
15:20 |
Tokyo |
Tokyo Information Design Professional University (Tokyo, Online)
(Primary: On-site, Secondary: Online) |
A Study on command recognition using mouth shape using machine learning
Ryotaro Tanaka, Yao Bao (Tokyo City Univ.) |
Conventional approaches for device control using lip movements require registering video samples of lip movements, burde... [more] |
AIT2024-151
pp.37-40 |
| HI |
2024-03-19
13:10 |
Online |
(Online) |
A Study on Image Selection for Graduation Albums Based on a Large-scale Pre-trained Model and Face Detection
Hiraku Matsuda, Yuta Muraki (OIT), Kazuyuki Fukuda, Kentaro Wada (DAICOLO CO.,LTD.), Mutsuo Sano (OIT) |
When creating a graduation album, there is the task of selecting images to be placed in the layout from among many image... [more] |
HI2024-21
pp.35-38 |
| IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] |
2024-02-19
14:30 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
Wavelet Multi-Resolution Analysis of Color Laparoscopic Image before and after Contrast Enhancement
Norifumi Kawabata (Kanazawa Gakuin Univ.) |
It is important to evaluate image processing and recognition using machine learning, deep learning, and neural network b... [more] |
MMS2024-12 ME2024-28 AIT2024-12
pp.61-66 |
| ME, IEICE-EMM, IEICE-IE, IEICE-LOIS, IEE-CMN, IPSJ-AVM [detail] |
2023-09-07
09:50 |
Osaka |
Osaka Metropolitan Univ. (Osaka, Online)
(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 |
| IST |
2023-06-21
16:10 |
Tokyo |
Tokyo University of Science Morito Memorial Hall (Tokyo) |
[Invited Talk]
Introduction to Single Exposure HDR CMOS Image Sensors
Shunsuke Okura (Ritsumeikan) |
In the development of Internet of Things (IoT), CMOS image sensors are expected to be used under extreme-illumination co... [more] |
IST2023-27
pp.27-28 |
| IIEEJ, AIT |
2023-06-04
10:00 |
Tokyo |
TOKYO CITY UNIVERSITY (Tokyo, Online)
(Primary: On-site, Secondary: Online) |
A Study on Accuracy Recognition of Images using Elimination of Specular Reflection Light
-- Trial of Restoration from Peripheral Pixel Information using Spatial Filtering --
Riko Abe, Yuya Dan (Matsuyama Univ.) |
As the performance of computer systems improves, image recognition technology expands its scope of application and is be... [more] |
AIT2023-135
pp.43-46 |
| IEICE-BioX, IEICE-SIP, IEICE-IE, IST, ME [detail] |
2023-05-19
15:15 |
Mie |
Sansui Hall, Mie University (Mie, Online)
(Primary: On-site, Secondary: Online) |
Object Detection with Split Images Based on Signal Range for Single Exposure High Dynamic Range Image Sensors
Yuta Nakahigashi, Yu Osuka, Kota Yoshida, Shunsuke Okura (Ritsumeikan Univ.) |
In this paper, we study object detection with split images based on signal range for single exposure high dynamic range... [more] |
IST2023-15 ME2023-58
pp.13-18 |
| IEICE-BioX, IEICE-SIP, IEICE-IE, IST, ME [detail] |
2023-05-19
15:45 |
Mie |
Sansui Hall, Mie University (Mie, Online)
(Primary: On-site, Secondary: Online) |
On-Chip Data Reduction and Object Detection for a Feature Extractable CMOS Image Sensor
Yudai Morikaku (Ritsumeikan Univ.), Ryuichi Ujiie, Daisuke Morikawa, Hideki Shima, Kota Yoshida, Shunsuke Okura (Ritsumeikan Univ.) |
Society 5.0, in which information from sensors in physical space is analyzed by artificial intelligence (AI) in cyberspa... [more] |
IST2023-16 ME2023-59
pp.19-24 |
| AIT, IIEEJ, AS, CG-ARTS |
2023-03-06
15:15 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano) (Tokyo, Online)
(Primary: On-site, Secondary: Online) |
Generating artwork using text
Moeko Ono, Kazuya Ueki (Meisei Univ.) |
There are various types of character-based art. These include handwritten brushstroke art and machine-generated ASCII ar... [more] |
AIT2023-73
pp.143-144 |
| MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-22
13:30 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
A study of the image captioning method with person names
Naotsuna Fujimori, Takahiro Mochizuki (NHK) |
We have been working on image captioning techniques with the main goal of automatically generating audio description. In... [more] |
MMS2023-29 ME2023-49 AIT2023-29
pp.225-230 |
| IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-20
16:20 |
Kumamoto |
Kumamoto University (Kumamoto, Online)
(Primary: On-site, Secondary: Online) |
Visualization of Important Features for Classifier Decisions using Deep Image Synthesis
Yushi Haku, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.) |
It is difficult to know the basis for the decisions of machine learning models, and it is necessary to provide a highly ... [more] |
|
| IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-20
16:40 |
Kumamoto |
Kumamoto University (Kumamoto, Online)
(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, IIEEJ, AS, CG-ARTS |
2022-03-08
13:50 |
Online |
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 |