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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 45  /  [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
SIP 2024-03-21
15:00
Ibaraki Center for Computational Sciences, University of Tsukuba Walking training support method for mountain climbing using foot pressure distribution
Satoshi Shimada, Noji Raito, Meguro DAaiki (Nihon Univ.)
In recent years, many mountaineers are unassociated, and this is a major factor in the increase of accidents. 35 percent... [more] SIP2024-5
pp.12-15
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
14:30
Tokyo Tokyo University of Technology Study on the Impact of Biological Functions and Personality Traits on Shooting Operations in FPS Games
Ryotaro Arai, Tomokazu Ishikawa (Toyo Univ.)
This paper analyzes the effects of players' biological functions and personality traits on shooting maneuvers in order t... [more] AIT2024-119
pp.301-302
IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] 2024-02-19
13:45
Hokkaido Hokkaido Univ. Efficient Human Pose and Shape Estimation using Decomposed Manhattan Self-Attention
Yushan Wang, Botao Zhang (TMU), Shuhei Tarashima (NTT Com), Norio Tagawa (TMU)
HMR2.0, a high performance human pose and shape estimation algorithm, leverages ViT as its backbone and uses pretrained ... [more] MMS2024-9 ME2024-25 AIT2024-9
pp.44-48
BCT, IEEE-BT 2024-02-16
10:50
Aichi Nagoya International Center
(Primary: On-site, Secondary: Online)
Adapter-Based Fine-Tuning for Multi-Task Learning Based CSI Feedback in FDD Massive MIMO Systems
Mayuko Inoue, Tomoaki Ohtsuki (Keio Univ)
A multi-task learning-based Channel State Information (CSI) feedback has been proposed to obtain the CSI of the downlink... [more] BCT2024-27
pp.25-28
IST 2023-06-21
14:10
Tokyo Tokyo University of Science Morito Memorial Hall [Poster Presentation] Verification of the effectiveness of multitask learning for demosaicking and white-balancing
Yuki Nakagomi, Ryoya Takeuchi, Taishi Iriyama, Takashi Komuro (Saitama Univ)
In this study, we conducted an investigation on the learning effectiveness of jointly training demosaicking and white ba... [more] IST2023-25
pp.19-22
IEICE-HIP, HI, VRPSY [detail] 2023-02-22
14:45
Toyama
(Primary: On-site, Secondary: Online)
Change of color categories induced by color discrimination learning
Takehiro Nagai, Suzuha Horiuchi (Tokyo Tech)
We examined the effects of perceptual learning of color discrimination on various color perception properties. The obser... [more] HI2023-3
pp.45-48
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] 2023-02-21
14:45
Hokkaido Hokkaido Univ. A Note on Improvement of Binauralization Performance Based on Multi-view Learning on 360° Videos
Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we propose a binaural audio generation method based on multi-view learning using 360◦ videos. Conventiona... [more] MMS2023-13 ME2023-33 AIT2023-13
pp.65-69
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
BCT, IEICE-SIS 2022-10-14
10:00
Aomori Hachinohe Institute of Technology
(Primary: On-site, Secondary: Online)
Robust Semi-Supervised Learning for Noisy Labels Using Early-learning Regularization and Weighted Loss
Ryota Higashimoto, Soh Yoshida, Mitsuji Muneyasu (Kansai Univ.)
Training Deep Neural Networks (DNNs) on datasets with incorrect labels (label noise) is an important challenge. In the p... [more]
AIT, IIEEJ, AS, CG-ARTS 2022-03-08
13:16
Online Online Semi-automatic Manga Colorization Using Flat Colored Images
Yugo Shimizu (TUS), Ryosuke Furuta (UTokyo), Delong Ouyang, Yukinobu Taniguchi (TUS), Ryota Hinami, Shonosuke Ishiwatari (Mantra)
To create color comics, manual colorization process is required, which incurs high labor costs. To solve the problem, we... [more] AIT2022-67
pp.115-118
AIT, IIEEJ, AS, CG-ARTS 2022-03-08
13:28
Online Online Style-invariant representations and frame-aware constraints for manga face image clustering
Shunta Komatsu (TUS), Ryosuke Furuta (UTokyo), Yukinobu Taniguchi (TUS), Ryota Hinami, Shonosuke Ishiwatari (Mantra)
Character recognition in manga is an important task to improve the usability of e-comics through recommendation systems ... [more] AIT2022-78
pp.153-156
AIT, IIEEJ, AS, CG-ARTS 2022-03-08
13:50
Online Online An Experimental Study on Estimating Residual Quantity of Foodstuff based on Deep Learning using 3D Model
Hiromu Takata, Syuhei Sato, Shangce Gao, Zheng Tang (Univ. Of Toyama)
With the recent development of deep learning techniques, many image recognition methods have been proposed for various o... [more] AIT2022-147
pp.393-394
HI, IEICE-HIP, ASJ-H, VRPSY [detail] 2022-02-27
14:15
Online on line A time-series learning model for estimating the microsaccade segments from fixation eye movement data
Tomoaki Morimoto, Kousuke Nakagaki, Masahito Sakaguchi, Ryoma Kobata, Hisashi Yoshida, Takeshi Kohama (Kindai Univ.)
In this study, we constructed a time-series learning model with the structure of Bi-LSTM for fixation eye movement data ... [more] HI2022-4
pp.33-38
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
12:45
Online online Regularizing Generative Adversarial Networks with Internal Representation of Generators
Yusuke Hara, Toshihiko Yamasaki (UTokyo)
In training generative adversarial networks, maintaining the criteria of the discriminator stably is crucial to training... [more]
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
13:15
Online online Towards Universal Deep Image Compression
Koki Tsubota (UTokyo), Hiroaki Akutsu (Hitachi), Kiyoharu Aizawa (UTokyo)
In this paper, we investigate deep image compression towards universal usage. In image compression, it is desirable to b... [more]
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
14:25
Online online A Note on Visual Sentiment Prediction Based on Few-shot Learning using Knowledge Distillation
Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
The prediction of visual sentiment can be useful to understand users' behaviors. Emotion theories underlying the sentime... [more] MMS2022-24 ME2022-49 AIT2022-24
pp.171-175
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
15:05
Online online A Note on Personalized Saliency Prediction Based on User Similarity Considering Object Information in Images
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a personalized saliency map (PSM) prediction method using a small amount of gaze data based on user ... [more] MMS2022-26 ME2022-51 AIT2022-26
pp.181-186
 Results 1 - 20 of 45  /  [Next]  
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