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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 97  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
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] 2023-02-21
10:30
Hokkaido Hokkaido Univ. A Note on Traffic Sign Recognition Based on Vision Transformer Adapter Using Visual Feature Matching
Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Traffic sign recognition is a real-world task that involves many constraints and complications. Traffic sign recognition... [more] MMS2023-1 ME2023-21 AIT2023-1
pp.1-4
IIEEJ, AIT 2022-10-30
16:20
Online on line Local Feature Alignment with Attention Mechanism for Cow Re-Identification
Feifan Zhang, Yota Yamamoto, Yukinobu Taniguchi (TUS)
The purpose of this research is to improve the accuracy of dairy cows’ individual identification by image recognition us... [more] AIT2022-178
pp.23-26
IST 2022-09-22
16:20
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
Image Classification Using Neural Network for Feature Extractable CMOS Image Sensor
Kohei Yamamoto, Kota Yoshida, Shunsuke Okura (Ritsumei Univ)
CMOS image sensors are expected to be integrated with AI using deep learning for new technologies. Our research group ha... [more] IST2022-39
pp.21-24
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] 2022-05-19
14:30
Kumamoto Kumamoto University
(Primary: On-site, Secondary: Online)
Detection of Mutation of Driver Gene from Thoracic CT Images Based on Machine Learning
Shion Watanabe, Tohru Kamiya (KIT), Takashi Terasawa, Takatoshi Aoki (UOEH)
(To be available after the conference date) [more]
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] 2022-05-20
15:20
Kumamoto Kumamoto University
(Primary: On-site, Secondary: Online)
Person Verification Based on Finger-Writing of a Simple Symbol on a Smartphone -- Improvement of polar transformation and effect of fusing uncorrelated features --
Isao Nakanishi, Kazuki Matsuura, Yohei Masegi, Takahiro Horiuchi (Tottori Univ.)
We have studied to authenticate users based on their finger writing.
Users are asked to draw or write a simple symbol ... [more]

AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
17:00
Online online A Note on Interest level Estimation Using Users' Behavior Information -- Validating the Effectiveness of Feature Integration with Multiple Users --
Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we verify the effectiveness of feature integration with multi-user behavior information for interest leve... [more] MMS2022-20 ME2022-45 AIT2022-20
pp.103-107
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
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]
BCT, IEEE-BT 2022-02-17
13:00
Online Online Autoencoder-based Pilot Pattern Design for CDL Channels
Yuta Yamada, Tomoaki Ohtsuki (Keio Univ.)
In the pilot-based channel estimations, a large number of pilot signals enable an improvement in the channel estimation ... [more] BCT2022-13
pp.1-4
BCT, IEICE-OFT, IEICE-OCS, IEE-CMN [detail] 2021-11-18
15:05
Online online Development of a Jitter Injection System for U-SDI Interface
Tomohiro Nakamura, Yuji Ookawa, Jun Yonai, Yoshiro Takiguchi (NHK)
We developed a jitter injection system for Ultrahigh-definition Signal/Data Interface (U-SDI). With the help of this sys... [more] BCT2021-46
pp.15-18
IEICE-SDM, IEICE-ICD, IST [detail] 2021-08-17
13:55
Online Online Study of an Event-Driven CMOS Image Sensor Using Deep Learning (1) -- Verification of Image Classification Using Low Bit-Resolution Feature Images --
Kohei Yamamoto, Kota Yoshida, Shunsuke Okura (Ritsumeikan Univ.)
Currently, CMOS image sensors are expected to be integrated with AI using deep learning to create new technologies.
C... [more]
IST2021-43
pp.29-33
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-18
14:50
Online Online A Note on Estimation of Deteriorated Regions Based on Anomaly Detection from Rubber Material Electron Microscope Images -- Verification of Feature Representations Extracted from Deep Learning Models --
Masanao Matsumoto, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ)
This paper presents an anomaly detection method for estimation of deteriorated regions from rubber material electron mic... [more] MMS2021-9 ME2021-9 AIT2021-9
pp.43-46
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
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-18
16:15
Online Online A Note on Cross-domain Recommendation Based on Multilayer Graph Analysis with Visual Features
Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa (Hokkaido Univ.), Satoshi Asamizu (NIT, Kushiro College), Miki Haseyama (Hokkaido Univ.)
In this paper, we improve the accuracy of cross-domain recommendation methods, which have been recently studied as a sol... [more] MMS2021-12 ME2021-12 AIT2021-12
pp.59-63
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
11:15
Hokkaido Hokkaido Univ.
(Cancelled)
Composition Presentation of Room Images with Composition Feature
Taiki Akama (UEC), Masachika Suzuki, Hisao Kimura, Yoshio Asada, Keisuke Suzuki (AVANT), Hiroki Takahashi (UEC)
Taking some real estate room images for searching site, detection composition features and presenting appropriate compos... [more] MMS2020-7 HI2020-7 ME2020-35 AIT2020-7
pp.35-40
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
16:35
Hokkaido Hokkaido Univ.
(Cancelled)
A Study on Region Segmentation of Color Laparoscopic Images after Contrast Enhancement Including Super-Resolution CNN by Image Regions
Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.)
As one of image pre-processing method to detect, recognize, and estimate lesion or characteristic region in medical imag... [more] MMS2020-22 HI2020-22 ME2020-50 AIT2020-22
pp.113-118
IIEEJ, AIT 2019-09-05
14:50
Iwate Iwate Prefectural Univ. A Video Frame Selection Method for Efficient 3D Model Generation
Munetoshi Iwakiri, Yusuke Miyazaki, Ryousuke Uruma, Kazuie Sakuma (NDA)
Utilization of 3D data obtained with real space surveys is attracting attention with the improvement of 3D measuring and... [more] AIT2019-173
pp.9-12
IEICE-SIS, IPSJ-AVM, 3DMT [detail] 2019-06-13
13:55
Nagasaki Fukue Culture Center Accuracy Improvement of Depth Estimation from a Single Still Image Using Feature Pyramid Network
Yudai Fukuda, Takuro Oki, Ryusuke Miyamoto (Meiji Univ.)
Depth estimation from a single shot image have become accurate drastically after emergence of deep
neural networks that... [more]

 Results 1 - 20 of 97  /  [Next]  
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