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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 108  /  [Next]  
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
 Results 1 - 20 of 108  /  [Next]  
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