| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| 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, Okura Syunsuke, Kota Yoshida (Ritumeikan Univ) |
(To be available after the conference date) [more] |
|
| 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] |
|
| 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] |
|
| 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
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 |
| AIT, IIEEJ, AS, CG-ARTS |
2019-03-12
14:00 |
Tokyo |
Waseda Univ. |
LinDA:Features Extraction and Classification of Line Segments for Semi-Automatic Generation of Cartoon Background Images
Megumi Nomura, Masanori Nakayama, Issei Fujishiro (Keio Univ.) |
For cartoon novices, it is effective to reuse as their background images, line drawing materials drawn and opened to the... [more] |
AIT2019-139
pp.315-318 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-19
16:30 |
Hokkaido |
Hokkaido Univ. |
A Fundamental Study on Laparoscopic Image Region Segmentation Based on Texture Analysis by Regions
Norifumi Kawabata (Nagoya Univ.), Toshiya Nakaguchi (Chiba Univ.) |
Most of image region segmentation studies can be divided to both subjective method by assessors and objective method by ... [more] |
MMS2019-15 HI2019-15 ME2019-37 AIT2019-15
pp.125-130 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
15:30 |
Hokkaido |
Hokkaido Univ. |
A note on interest level estimation for videos using users' behavior based on OpenPose
Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a novel method for interest level estimation using OpenPose which can obtain users' body skeleton po... [more] |
MMS2019-44 HI2019-44 ME2019-66 AIT2019-44
pp.351-354 |
| ME |
2018-02-24
14:15 |
Kanagawa |
Kanto Gakuin Univ. |
Automatic extraction of nose and eyes features and their adaptive drawing for facial caricature system
Yuki Sakamoto, Tomoaki Nakamura, Masahide Kaneko (UEC) |
A lot of studies have been reported on automatic extraction of feature points that represent shape of each facial part f... [more] |
ME2018-66
pp.85-88 |
| AIT, IIEEJ, AS, CG-ARTS |
2017-03-14
13:00 |
Tokyo |
Ochanomizu Univ. |
Visualization of music based on lyrics and song characteristics
Nozomi Midorikawa, Toru Kano, Yuriko Takeshima (Tokyo Univ. of Tech.) |
In recent years, along with digitization of music, it has become possible to carry a large number of music with portable... [more] |
AIT2017-123
pp.271-272 |
| ME |
2017-02-18
11:15 |
Kanagawa |
Kanto Gakuin Univ. |
Accurate Feature Point Tracking using Local Invariant Features for Omnidirectional Image Sequence
Hiroshi Tada, Koichi Ichige (YNU) |
In this paper, we propose a highly accurate feature point tracking method for omnidirectional image sequence. It is ofte... [more] |
ME2017-4
pp.13-16 |