| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| ME, IEICE-EMM, IEICE-IE, IEICE-LOIS, IEE-CMN, IPSJ-AVM [detail] |
2023-09-07
09:50 |
Osaka |
Osaka Metropolitan Univ.
(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 |
[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
(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
(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
(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)
(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. |
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
(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
(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] |
|
| IST |
2022-03-28
09:30 |
Online |
|
3-Layer Stacked Pixel-Parallel CMOS Image Sensors Using Hybrid Bonding of SOI Wafers
Masahide Goto, Yuki Honda, Masakazu Nanba, Yoshinori Iguchi (NHK), Takuya Saraya, Masaharu Kobayashi (The Univ. of Tokyo), Eiji Higurashi (AIST), Hiroshi Toshiyoshi, Toshiro Hiramoto (The Univ. of Tokyo) |
We report 3-layer stacked pixel-parallel CMOS image sensors developed for the first time. The hybrid bonding of silicon-... [more] |
IST2022-11
pp.5-8 |
| 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] |
2022-02-22
11:10 |
Online |
online |
Enhancing Personalized Food Image Classifier by Visual Attention and Class-Dependent Weighting
Seum Kim, Yoko Yamakata, Kiyoharu Aizawa (UTokyo) |
In a real-world setting, food records are very noisy and strongly imbalanced. Besides, inter-class similarity and intra-... [more] |
|
| BCT, IEICE-CS, IPSJ-AVM, IEICE-IE [detail] |
2021-11-25
10:50 |
Online |
Online |
Acceleration of Neural Network Visualization RISE by Reduction of Masks
Tomoki Nakada, Imamura Kousuke (Kanazawa Univ.) |
Recently, various techniques have been proposed to visualize the basis for decisions in image recognition using neural n... [more] |
|
| BCT, IEICE-SIS |
2021-10-08
11:10 |
Online |
online |
A Hardware-Oriented Algorithm for Person Recognition Processing using GMM-MRCoHOG features
Ryogo Takemoto, Yuya Nagamine, Kazuki Yoshihiro (Kyutech), Masatoshi Shibata, Hideo Yamada (AISIN), Shuichi Enokida, Hakaru Tamukoh (Kyutech) |
In this research, we focus on Gaussian Mixture Model-MultiResolution Co-occurrence Histograms of Oriented Gradients (GMM... [more] |
|
| 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 |
| IST |
2021-03-26
11:30 |
Tokyo |
Online |
Study of High-SNR Pixel for CMOS Image Sensor Applicable to Image Recognition
Toya Sasaki, Masayoshi Sirahata, Shunsuke Okura (Ritsumeikan Univ.) |
For the demand to high dynamic range (HDR) technology of CMOS image sensors, LOFIC is considered to be one of solutions.... [more] |
IST2021-13
pp.21-24 |
| AIT, IIEEJ, AS, CG-ARTS |
2021-03-08
11:15 |
Online |
Online |
The proposal of an application by using ar technology to reduce the loneliness of the elderly
ma long, Kunio Kondo, Kazuo Sasaki (TUT) |
According to a social survey, nearly 80% of the elderly feel "socially isolated" and "lonely." Accordingly, the number o... [more] |
AIT2021-59
pp.111-112 |
| AIT, IIEEJ, AS, CG-ARTS |
2021-03-08
11:15 |
Online |
Online |
Proposal of shooting angle of view reproduction application on the stage of pilgrimage to sacred places using AR technology
Nian Lian, Kunio Kondo, Kazuo Sasaki (TUT) |
Recently, along with the widespread use of ICT in the tourism field, the means of providing information have changed. In... [more] |
AIT2021-60
pp.113-114 |
| AIT, IIEEJ, AS, CG-ARTS |
2021-03-08
15:00 |
Online |
Online |
Proposal of speech education app for hearing impaired child using image recognition and voice recognition
Su Yang, Kunio Kondo, Kazuo Sasaki (TUT) |
In hearing-impaired education, speech education from spoken, is important along with sign language education. With the ... [more] |
AIT2021-102
pp.245-248 |
| 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] |
|