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All Technical Committee Conferences  (Searched in: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 88  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
IIEEJ, AIT 2022-10-30
16:00
Online on line A Trial of Recognition of Electronic Parts by Deep-Learning for Efficient Recycling
Yihong Tang, Tomonori Izumi (Ritsumeikan Univ.)
In order to improve material-recycling of disposed electronic appliances, we aim to develop a system to analyze and cate... [more] AIT2022-177
pp.19-22
IIEEJ, AIT 2022-10-31
11:00
Online on line Along with the increase in the feeding rate of the pets such as dogs and cats, the amount of time people spend together ... [more] AIT2022-183
pp.45-48
 Results 1 - 20 of 88  /  [Next]  
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