| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| IST |
2025-03-21
10:45 |
Tokyo |
Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online) |
Defense Method Against Adversarial Example Attacks using Thermal Noise of a CMOS Image Sensor
Yuki Rogi, Kota Yoshida, Tatsuya Oyama, Takeshi Fujino, Shunsuke Okura (Ritsumeikan Univ.) |
With the rise of IoT technology, edge AI has become increasingly important, but it is vulnerable to adversarial example ... [more] |
IST2025-10
pp.5-6 |
| IST |
2025-03-21
11:05 |
Tokyo |
Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online) |
Lightweight Object Detection Model for a CMOS Image Sensor with Binary Feature Extraction
Keiichiro Kuroda, Yudai Morikaku, Yu Osuka, Ryoya Ieagaki, Kota Yoshida, Shunsuke Okura (Ritumeikan Univ) |
For the coming of IoT age, we have proposed an object detection system using a CMOS image sensor with binary feature ext... [more] |
IST2025-11
pp.7-8 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
13:05 |
Hokkaido |
Hokkaido Univ. |
Study on matching method between satellite and ground images using CLIP model
Momoko Maezawa, Rei Endo, Naotsuna Fujimori, Takahiro Mochizuki (NHK) |
The location where a query image was taken can be estimated by searching for satellite images that correspond to the que... [more] |
MMS2025-8 ME2025-8 AIT2025-8 SIP2025-8
pp.40-45 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
16:25 |
Hokkaido |
Hokkaido Univ. |
Trial for Recognizing Hazards in Traffic Scene Using a Vision-Language Model
Kazuma Nishimura, Kazuto Nakagawa, Temma Okamoto, Osamu Sugiyama, Masahiro Tada (Kindai Univ.) |
For the societal implementation of autonomous driving systems, it is essential that these systems understand collision r... [more] |
MMS2025-20 ME2025-20 AIT2025-20 SIP2025-20
pp.102-106 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-19
13:10 |
Hokkaido |
Hokkaido Univ. |
Experiments on image recognition by optoelectronic deep neural network with scattering medium insertion
Kaito Inoue, Takumi Hashiguchi, Taichi Takatsu, Rio Tomioka (Kyutech), Atsushi Shibukawa (Hokkaido Univ.), Masanori Takabayashi (Kyutech) |
Optoelectronic deep neural network (OE-DNN) has been proposed as a solution to address the increasing energy consumption... [more] |
MMS2025-33 ME2025-33 AIT2025-33 SIP2025-33
pp.161-166 |
| KANSAI |
2024-12-22
11:45 |
Osaka |
Osaka Metropolitan University, I-site Namba |
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] |
|
| IST |
2024-11-08
13:40 |
Tokyo |
Morito Mem. Hall
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Deep compressive sensing with coded image sensor
Michitaka Yoshida (JSPS), Daisuke Hayashi, Lioe De Xing, Keita Yasutomi, Shoji Kawahito, Keiichiro Kagawa (Shizuoka Univ.), Hajime Nagahara (Osaka Univ.) |
In this paper, we introduce a method of compressed sensing using coded CMOS sensors and the concept of deep sensing. By ... [more] |
IST2024-56
pp.20-24 |
| ME |
2024-10-21
15:45 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
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
(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
(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 |
| ME, IST, IEICE-BioX, IEICE-SIP, IEICE-MI, IEICE-IE [detail] |
2024-06-06
14:10 |
Niigata |
Nigata University (Ekinan-Campus "TOKIMATE") |
A trial for recognizing traffic scene using a Vision-Language Model
Kazuto Nakagawa, Kazuma Nishimura, Osamu Sugiyama, Masahiro Tada (Kindai Univ.) |
For the societal implementation of autonomous driving systems, it is essential that these systems understand the behavio... [more] |
IST2024-25 ME2024-50
pp.15-18 |
| ME, IST, IEICE-BioX, IEICE-SIP, IEICE-MI, IEICE-IE [detail] |
2024-06-07
13:15 |
Niigata |
Nigata University (Ekinan-Campus "TOKIMATE") |
Lightweight Object Detection Model for a Binary Feature Extractable CMOS Image Sensor
Keiichiro Kuroda, Yudai Morikaku, Yu Osuka (Ritumeikan Univ), Ryuichi Ujiie, Daisuke Morikawa, Hideki Shima (Nisshinbo Micro Devices), Okura Syunsuke, Kota Yoshida (Ritumeikan Univ) |
For the coming Society 5.0, we propose an object detection system using a CMOS image sensor capable of extracting binary... [more] |
IST2024-27 ME2024-52
pp.23-28 |
| IIEEJ, AIT |
2024-06-05
11:30 |
Tokyo |
Tokyo Information Design Professional University
(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
(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
(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 |
|
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. |
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 |
2024-02-10
09:45 |
Online |
online |
A Study of Work Time Reduction Methods for Individual Recognition in Zoo
Kanon Shimodaira, Ayana Rikimaru (NIT,NC) |
This study investigated the feasibility of a real-time recognition system with the goal of improving the experience of o... [more] |
ME2024-1
pp.1-3 |
| 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 |