Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IST |
2024-03-27 13:10 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Evaluation of Object Detection Accuracy for DCG CMOS Image Sensor with 4T Pixel Structure Shoya Nishide, Ayaka Banno (Ritsumeikan Univ.), Ken Miyauchi, Yuki Morikawa, Hideki Owada, Isao Takayanagi (Brillnics), Shunsuke Okura (Ritsumeikan Univ.) |
Our research group has proposed a high dynamic range DCG CMOS image sensors based on 4T pixel for sensing applications. ... [more] |
IST2024-16 pp.20-24 |
ME |
2024-02-10 14:15 |
Online |
online |
Preliminary study on extraction of c-Fos regions from mouse brain images by use of multi-channelization, 1x1 convolution and U-net Ziyue Wang, Hibiki Okamura, Yu Hayashi, Hotaka Takizawa (Univ. of Tsukuba) |
This report proposes a method for extracting the expression regions of c-Fos protein from brain slice images of experime... [more] |
ME2024-13 pp.44-46 |
BCT, KYUSHU, IEEE-BT, IEEE-AP-S-FUKUOKA |
2024-01-26 09:50 |
Saga |
Saga Univ., Honjo Campus, Liberal Art Education Bldg 1, No. 143 (Primary: On-site, Secondary: Online) |
Design and Performance Evaluation of Circularly Polarized Active Antenna Integrating Image-Rejection Mixer Ryusei Kawasaki, Takayuki Tanaka, Ichihiko Toyoda (Saga Univ) |
We proposed and reported a circularly polarized down-conversion active antenna integrating an image-rejection mixer (IRM... [more] |
BCT2024-12 pp.45-48 |
IST |
2023-11-10 14:40 |
Tokyo |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
HDR Global Shutter CMOS Image Sensor with Enhanced NIR Sensitivity Junichi Nakamura, Rimon Ikeno (Brillnics) |
We have developed single-exposure high dynamic range (SEHDR) CMOS image sensors that utilize a pixel-level multiple conv... [more] |
IST2023-49 pp.10-13 |
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 |
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-22 13:15 |
Hokkaido |
Hokkaido Univ. |
Semantic-Consistent Style Transfer with Visual Transformers Jianbo Wang (UTokyo), Huan Yang, Jianlong Fu (MSR), Toshihiko Yamasaki (UTokyo), Baining Guo (MSR) |
Image style transfer has drawn increasing attention recently. This task takes a content image and a style image as input... [more] |
|
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 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] |
|
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 16:45 |
Online |
online |
A Note on Accurate Distress Classification Using Deep Learning Considering Confidence in Attention map Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a note on accurate distress classification using deep learning considering confidence in attention m... [more] |
MMS2022-33 ME2022-58 AIT2022-33 pp.371-376 |
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] |
|
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 |
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 |