| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| IEICE-SIS, BCT |
2024-10-03
14:50 |
Hokkaido |
Hokusei Gakuen Univ.
(Primary: On-site, Secondary: Online) |
Accuracy Improvement of Real Image Classification Using Synthetic Images for Training by Bilateral Filtering
Masakazu Ohkoba, Takeru Inoue, Miho Adachi, Junya Morioka (Meiji Univ.), Kouji Gakuta, Etsuji Yamada, Aoi Kariya (DPS), Masakazu Kinosada, Yujiro Kitaide (Shinsei Printing Co., Ltd.), Ryusuke Miyamoto (Meiji Univ.) |
In the development of machine-learning-based component classification applications, creating a suitable training dataset... [more] |
|
| IEICE-SIS, BCT |
2024-10-03
15:10 |
Hokkaido |
Hokusei Gakuen Univ.
(Primary: On-site, Secondary: Online) |
A New Calcification Region Detector for Dental Panoramic Radiographs
Sota Nakano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Nanae Dewake, Nobuo Yoshinari (Matsumoto Dental Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital) |
Calcification regions are sometimes observed in carotid arteries on dental panoramic radiographs and are expected to be ... [more] |
|
| ME, IEICE-EMM, IEICE-IE, IEICE-LOIS, IEE-CMN, IPSJ-AVM [detail] |
2024-09-04
15:30 |
Hiroshima |
Hiroshima Institute of Technology
(Primary: On-site, Secondary: Online) |
The Research on Dangerous Behavior Recognition and Warning System for Escalators Based on Deep Learning Models
YongXuan Zhu, Hiroyuki Nakamura (S.I.T) |
In this study, we developed a system that uses deep learning and image recognition technology to identify potential dang... [more] |
ME2024-80
pp.1-5 |
| ME, IEICE-EMM, IEICE-IE, IEICE-LOIS, IEE-CMN, IPSJ-AVM [detail] |
2024-09-04
16:10 |
Hiroshima |
Hiroshima Institute of Technology
(Primary: On-site, Secondary: Online) |
Restoring Missing Regions in "Shihai-monjyo" by Applying Image Inpainting Method
Haruto Izumi, Masahiro Migita, Masashi Toda, Masahiko Itoh (Kumamoto Univ.) |
Because paper was precious in those days, some ancient documents were written on both the front and back sides of the do... [more] |
ME2024-82
pp.11-16 |
| ME, IEICE-EMM, IEICE-IE, IEICE-LOIS, IEE-CMN, IPSJ-AVM [detail] |
2024-09-05
16:30 |
Hiroshima |
Hiroshima Institute of Technology
(Primary: On-site, Secondary: Online) |
Proposal of an Emotion Recognition System for Improving Video Viewing Experience of Visually Impaired Individuals
Zhiyuan Ning, Hiroyuki Nakamura (S.I.T) |
The rapid growth of short video platforms like TikTok has highlighted the need for improved accessibility for visually i... [more] |
ME2024-86
pp.37-40 |
| OSJ-HODIC, AIT, 3DMT, IDY, IEICE-EID, IEE-OQD, SID-JC |
2024-09-02
14:30 |
Tokyo |
Kikai-Shinko-Kaikan Bldg
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Deep Learning in Projection Mapping
Daisuke Iwai (UOsaka) |
Projection mapping (PM) allows users to experience virtual and augmented reality without wearing displays by projecting ... [more] |
IDY2024-39 AIT2024-161 3DMT2024-50
pp.36-39 |
| ME, IST, IEICE-BioX, IEICE-SIP, IEICE-MI, IEICE-IE [detail] |
2024-06-07
13:15 |
Niigata |
Nigata University (Ekinan-Campus "TOKIMATE") |
Color information restoration from printed and scanned grayscale images with deep learning
Takehiro Muroya, Hiroshi Higashi, Yuichi Tanaka (OU) |
In this report, we propose a colorization method for gray-scale images embedded color information with the wavelet trans... [more] |
|
| ME, IST, IEICE-BioX, IEICE-SIP, IEICE-MI, IEICE-IE [detail] |
2024-06-07
13:40 |
Niigata |
Nigata University (Ekinan-Campus "TOKIMATE") |
Quality Control Method on H.264 for Data Size Reduction of Industrial Videos
Takahiro Naruko, Hiroaki Akutsu (Hitachi) |
In this study, for the goal of reducing data size of industrial videos, we propose quality control method on H.264 that ... [more] |
|
| SIP |
2024-03-21
14:25 |
Ibaraki |
Center for Computational Sciences, University of Tsukuba |
Bunch of Tricks for Improving Shuttlecock Detection from Badminton Videos
Muhammad Abdul Haq (TMU), Shuhei Tarashima (NTT Com), Norio Tagawa (TMU) |
Accurate identification of the shuttlecock is necessary for video analysis in badminton matches, but, it remains difficu... [more] |
SIP2024-4
pp.8-11 |
| AIT, IIEEJ, AS, CG-ARTS |
2024-03-05
13:42 |
Tokyo |
Tokyo University of Technology |
Development of a Diagnostic Support System for Intranasal Disease
Kaho Ukai, Youngha Chang, Nobuhiko Mukai (TCU), Kojiro Hirano, Kouzou Murakami (SUSM/SUH) |
In this research, a support system has been developed to diagnose whether an endoscopic image shows "severely abnormal n... [more] |
AIT2024-70
pp.135-138 |
| AIT, IIEEJ, AS, CG-ARTS |
2024-03-05
15:04 |
Tokyo |
Tokyo University of Technology |
Brittle Fracture Shape Generation of Plane Objects by Conditional GAN
Yuma Aoki, Kohei Tokoi (Wakayama Univ.) |
Physics-based fracture simulation can generate realistic debris shapes, but it is difficult to use in applications that ... [more] |
AIT2024-114
pp.284-287 |
| 3DMT |
2023-10-02
13:05 |
Aichi |
(Primary: On-site, Secondary: Online) |
[Tutorial Invited Lecture]
From Mathematical Modeling to Data-Driven Optimization
-- Compressive Light Field Acquisition Undergoes Paradigm Shift --
Keita Takahashi (Nagoya Univ.) |
The light field is a basic representation for 3-D visual information, and it is usually treated as a set of images taken... [more] |
3DMT2023-35
p.1 |
| IST |
2023-09-15
11:45 |
Tokyo |
Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online) |
Pseudo-dToF using deep learning with time-compressive computational CMOS image sensor
Michitaka Yoshida (JSPS), Pham Ngoc Anh, Lioe De Xing, Keita Yasutomi, Shoji Kawahito, Keiichiro Kagawa (Shizuoka Univ.), Hajime Nagahara (Osaka Univ.) |
Depth imaging by the indirect ToF method has a problem in whitch measurement errors occur due to multiple reflections fr... [more] |
IST2023-37
pp.9-12 |
| AIT, 3DMT, OSJ-HODIC |
2023-09-08
17:15 |
Tokyo |
Nihon Univ. College of Science and Technology (Surugadai Campus) |
|
Phase unwrapping is a technique used to recover the original phase from the wrapped phase in the range (−π, π]. Conventi... [more] |
AIT2023-147 3DMT2023-34
pp.33-36 |
| BCT, IEEE-BT, HOKKAIDO |
2023-07-28
11:50 |
Hokkaido |
Sapporo Business Innovation Center
(Primary: On-site, Secondary: Online) |
An Evaluation of Neural Network Parameters for Decoding (8,4) and (16,8) Polar Codes
Reona Kumaki, Hiroshi Tsutsui, Takeo Ohgane (Hokkaido Univ.) |
Polar codes are one type of error correction codes.
When operated with a sufficiently long code length, polar codes ca... [more] |
BCT2023-61
pp.49-52 |
| ME |
2023-07-21
15:45 |
Online |
Online |
Preliminary study on recognition of upward stairs by use of CNN and multi channelization for visually impaired people
Yuto Narumi, Hotaka Takizawa, Akihisa Ohya (Univ. of Tsukuba), Makoto Kobayashi (Tsukuba Univ. of Technology), Mayumi Aoyagi (Aichi Univ. of Education) |
Smartphones are used by many visually impaired people, and the users will increase in the future. In this research, we p... [more] |
ME2023-66
pp.17-18 |
| IIEEJ, AIT |
2023-06-04
10:20 |
Tokyo |
TOKYO CITY UNIVERSITY
(Primary: On-site, Secondary: Online) |
A Study on Pattern Recognition of Upper Body Clothes Using MediaPipePose
Kouki Maeda, Youngha Chang, Nobuhiko Mukai (TCU) |
In recent years, there are many studies that focuses on human region extraction and attribute recognition in images and ... [more] |
AIT2023-136
pp.47-50 |
| IIEEJ, AIT |
2023-06-04
11:00 |
Tokyo |
TOKYO CITY UNIVERSITY
(Primary: On-site, Secondary: Online) |
A study of feature extraction methods for clusters in image classification using deep metric learning
-- Visualization of features using factor information common to clusters --
Haruya Tanaka, Chanjin Seo, Jun Ohya (Waseda Univ.), Hiroyuki Ogata (Seikei Univ.) |
In recent years, the running population has been increasing, and demand for coaching systems for amateur runners is expe... [more] |
AIT2023-138
pp.55-58 |
| AIT, IIEEJ, AS, CG-ARTS |
2023-03-06
10:25 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano)
(Primary: On-site, Secondary: Online) |
Using Deep Learning to Generate Wall Textures
ekitou chin, Masaki Abe, Taichi Watanabe (TUT) |
In recent years, the area of image processing and image generation using deep learning has been further developed and ap... [more] |
AIT2023-83
pp.175-176 |
| MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-21
15:30 |
Hokkaido |
Hokkaido Univ. |
Evaluating The Effectiveness of Data Augmentation for Learning TrackNetV2
Yushan Wang (TMU), Shuhei Tarashima (NTT Com), Norio Tagawa (TMU) |
Data augmentation has been widely used in a variety of deep learning tasks, mostly with a positive impact on the results... [more] |
MMS2023-16 ME2023-36 AIT2023-16
pp.81-84 |