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") |
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 |
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-21 15:45 |
Hokkaido |
Hokkaido Univ. |
A Residual U-Net Architecture for Shuttlecock Detection Muhammad Abdul Haq (TMU), Shuhei Tarashima (NTT Com), Norio Tagawa (TMU) |
Detection of fast-moving shuttlecocks is essential for badminton video analysis. Several methods based on deep learning ... [more] |
MMS2023-17 ME2023-37 AIT2023-17 pp.85-88 |
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 |
ME, SIP, TOKAI |
2022-12-07 10:50 |
Aichi |
(Primary: On-site, Secondary: Online) |
[Short Paper]
3D Facial Recognition for Genetic Studies based on PointNet++ Kazuma Okada, Takuma Terada, Jiaqing Liu (Ritsumeikan Univ.), Tomoko Tateyama (Fujita Health University), Ryosuke Kimura (Ryukyu Univ.), Yen Wei Chen (Ritsumeikan Univ.) |
Recently, the development of genetic research has found a relationship between human face shape and genes. By analyzing ... [more] |
ME2022-88 SIP2022-7 pp.9-11 |
ME, SIP, TOKAI |
2022-12-07 13:35 |
Aichi |
(Primary: On-site, Secondary: Online) |
Skeleton Estimation for Swing based on Deep Model by Introducing Articulation Constraints into Training Atsuki Sakata, Shogo Kihira, Nobutaka Shimada (Ritsumeikan Univ.), Yuki Nagano, Masahiki Ueda (SRI) |
For the purpose of developing the automatic diagnosis system of players' golf swing, we propose a method for estimating ... [more] |
ME2022-91 SIP2022-10 pp.23-26 |
ME, SIP, TOKAI |
2022-12-07 15:00 |
Aichi |
(Primary: On-site, Secondary: Online) |
Comparison of gazing points and gaze prediction of midfielders in soccer training
-- for professional and college student soccer players -- Ryo Isa, Kyosuke Horio, Tsubasa Hirakawa, Takayoshi yamashita, Hironobu Fujiyoshi (Chubu Univ.) |
Gaze behavior in sports has received widespread attention. The purpose is to quantitatively analyze and compare the eye ... [more] |
ME2022-94 SIP2022-13 pp.35-38 |
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 |