| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| IST, ME, IEICE-IE, IEICE-BioX, IEICE-SIP, IEICE-MI [detail] |
2025-06-05
13:00 |
Ishikawa |
|
A Study on 2-Directions-Edge-Feature-Extractable CMOS Image Sensor Pixels
Hiroki Morita, Koki Fujiwara, Ryoya Iegaki (Ritsumeikan Univ.), Ryuichi Ujiie, Hideki Shima (Nisshinbo Micro Devices), Shunsuke Okura (Ritsumeikan Univ.) |
For the coming IoT society, we have proposed a CMOS image sensor pixel that can extract horizontal edge features in addi... [more] |
IST2025-23 ME2025-61
pp.7-12 |
| IST, ME, IEICE-IE, IEICE-BioX, IEICE-SIP, IEICE-MI [detail] |
2025-06-05
13:25 |
Ishikawa |
|
A Study of Object Detection Model Compression Methods for Features Extractable CMOS Image Sensors
Ryoya Iegaki, Keiichiro Kuroda, Yu Osuka (Ritsumeikan Univ), Ryuichi Ujiie, Hideki Shima (Nisshinbo), Kota Yoshida, Shunsuke Okura (Ritsumeikan Univ) |
We examine the quantization and pruning of object detection models for CMOS image sensors capable of feature extraction.... [more] |
IST2025-24 ME2025-62
pp.13-17 |
| IST |
2025-03-21
15:00 |
Tokyo |
Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online) |
A 1.25 μm 8K×8K-pixel 60 fps CIS with 2×1 Multi-Directional Phase-Detection Pixels
Kodai Kikuchi, Kohei Tomioka, Takenobu Usui, Akira Honji (NHK), Hiroshi Shimamoto (NHK Foundation), Tomonari Kenzaki, Sota Hida, Takeo Ushinaga, Kenichi Nagai (SSIC), Kazuya Kitamura (NHK) |
This paper introduces a 59.3-Mpixel 60 fps back-illuminated stacked CMOS image sensor for immersive content production. ... [more] |
IST2025-18
pp.37-41 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
12:50 |
Hokkaido |
Hokkaido Univ. |
A Note on Interpretability of Visual Language Model by Few-shot Learning based on the Linear Representation Hypothesis
Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Visual language models (VLMs), pre-trained on vast amounts of web-based images and text, have demonstrated impressive ze... [more] |
MMS2025-7 ME2025-7 AIT2025-7 SIP2025-7
pp.34-39 |
| 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 |
| 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
15:20 |
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 |
| IIEEJ, AIT |
2023-06-04
10:40 |
Tokyo |
TOKYO CITY UNIVERSITY
(Primary: On-site, Secondary: Online) |
A Method for Counting Passing People Using Person Detection Based on a Combination of Difference Images and Region Growing
Mirai Amo, Youngha Chang, Nobuhiko Mukai (TCU), Yasuzo Tanaka (Takiguchi Corporation) |
In this study, we propose a method to measure the number of people based on a bird’s-eye movie. Local Binary Patterns (L... [more] |
AIT2023-137
pp.51-54 |
| 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 |
| MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-22
14:00 |
Hokkaido |
Hokkaido Univ. |
Hierarchical Minimum-Sized Object Detection Method using Clustering Algorithm for UAV Autonomous Flight
Yusei Horikawa, Makoto Sugaya, Tetsuya Matsumura (Nihon Univ) |
This paper describes an efficient minimum-sized object detection method in high-Resolution images for UAV autonomous fli... [more] |
MMS2023-31 ME2023-51 AIT2023-31
pp.235-238 |
| IIEEJ, AIT |
2022-10-30
14:50 |
Online |
on line |
[Invited Talk]
Advances in Image Editing Techniques with Deep Learning
Satoshi Iizuka (Univ. of Tsukuba) |
In this presentation, I will introduce how image editing techniques have been developed through deep learning. The metho... [more] |
AIT2022-175
p.13 |
| 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] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
13:00 |
Online |
online |
Domain Incremental Leaning with Adaptive Loss Functions
Takumi Kawashima (UTokyo), Go Irie, Daiki Ikami (NTT), Kiyoharu Aizawa (UTokyo) |
During domain incremental learning of image classification task, the distribution of images continually change, and mode... [more] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22
13:30 |
Online |
online |
What Kind of Images to Post on Instagram? Image Recommendation for Marketing
Yiwei Zhang, Toshihiko Yamasaki (UTokyo) |
Social media is a popular platform for brands to allocate marketing budget and build their relationship with customers n... [more] |
|
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22
14:40 |
Online |
online |
Detection of Physiological Disorders in European Pear Using HSV Color Features
Noritaka Kubota, Tatsuya Yamazaki (Niigata Univ.) |
For the "Le Lectier" (pear), appearance quality is important to determine its grade, and grading based on shipping stand... [more] |
|
| ME |
2021-12-13
10:30 |
Online |
online |
Food Image Generation and Appetite Evaluation Based on Appetite Factor Analysis by Image Features
Akihiro Suzuki, Kei Kanari, Mie Sato (Utsunomiya University) |
In recent years, due to the COVID-19 pandemic and the widespread use of technology, the Internet and food and beverage w... [more] |
ME2021-89
pp.5-8 |
| 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] |
|
| ME |
2021-02-27
15:40 |
|
|
A Study on the Relation between Image Features and Appetite Factors in Food Images
Akihiro Suzuki, Kei Kanari, Mie Sato (Utsunomiya City Univ) |
In recent years, COVID-19 and the spread of technology have made Go to Eat campaigns and food delivery services a hot to... [more] |
ME2021-49
pp.75-78 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
11:35 |
Online |
Online |
A Note on Accurate Distress Image Classification of Road Structures Using Attention Map based on Text Data
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a correlation-aware attention branch network (CorABN) using multi-modal data for deterioration level... [more] |
MMS2021-4 ME2021-4 AIT2021-4
pp.17-21 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
15:40 |
Online |
Online |
Texture Analysis and Evaluation of the Shitsukan Research Database Based on Luminance Information
Norifumi Kawabata (Tokyo Univ. of Science) |
One of texture component on objects and graphics is luminance. By strength of luminance, human visual perception for cla... [more] |
MMS2021-11 ME2021-11 AIT2021-11
pp.53-58 |