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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 369 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
WIT 2023-06-17
15:20
Okinawa Okinawa Industry Support Center
(Primary: On-site, Secondary: Online)
Improved Visual Intentions Estimation Model Using Depth Information and Object Detection
Sho Higa, Masakiyo Okuhama, Koji Yamada (Ryukyu Univ.), Shihoko Kamisato (NIT,Okinawa College) WIT2023-17
In this study, we propose an improved visual intention estimation model based on object detection to distinguish eye and... [more] WIT2023-17
pp.76-77
SIS, IPSJ-AVM [detail] 2023-06-15
11:10
Shimane NIT, Matsue College
(Primary: On-site, Secondary: Online)
A New Detection Method of Calcification Regions in Dental Panoramic Radiograph and Application of MTL in Its Learning
Taito Murano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital,) SIS2023-2
Calcification regions, considered a sign of atherosclerosis, are sometimes observed in the carotid arteries in dental pa... [more] SIS2023-2
pp.7-12
RCS 2023-06-16
10:30
Hokkaido Hokkaido University, and online
(Primary: On-site, Secondary: Online)
A Study on Neural Network-Aided Fine Tuning for Indoor Positioning based on BLE Angle of Arrival
Ginji Ohashi, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2023-69
With the addition of the direction-finding capability to BLE in 2019, the angle of arrival (AoA) of a signal can be easi... [more] RCS2023-69
pp.241-246
EMCJ, IEE-EMC, IEE-SPC 2023-05-12
13:15
Okinawa  
(Primary: On-site, Secondary: Online)
Evaluating Transmission Efficiency Impact on Screen Reconstruction Accuracy for High-Resolution Displays
Taiki Kitazawa, Yuichi Hayashi (NAIST) EMCJ2023-6
In TEMPEST attacks targeting high-resolution displays with divided screens, reconstructing screen information proves dif... [more] EMCJ2023-6
pp.1-6
NLP, MSS 2023-03-17
16:05
Nagasaki
(Primary: On-site, Secondary: Online)
Lightweighting Noisy Student Semi-Supervised Learning by Applying MobileNet
Yuga Morishima, Hidehiro Nakano (Tokyo City Univ.) MSS2022-108 NLP2022-153
Recently, Convolutional Neural Networks (CNNs) have attracted much attention in various fields such as image classificat... [more] MSS2022-108 NLP2022-153
pp.220-224
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-17
14:05
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
A Consideration on Improving Prediction Accuracy of PredNet by Combining Features of Pseudo-future Frame.
Kanato Sakama, Shunichi Sekiguchi, Wataru Kameyama (Waseda Univ.) IMQ2022-81 IE2022-158 MVE2022-111
We have been studying the applicability of PredNet, one of the DNN-based video frame prediction methods proposed to prov... [more] IMQ2022-81 IE2022-158 MVE2022-111
pp.315-320
MI 2023-03-06
13:15
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Improvement of Small Organ Accuracy in Multi-Organ Segmentation of Abdominal CT Images Using 2.5D Deformable Convolutional CNN
Yuya Okumura, Hiroyuki Kudo, Hotaka Takizawa (Univ of Tsukuba) MI2022-80
In multi-organ segmentation of abdominal CT images using deep learning, small organs such as the pancreas are difficult ... [more] MI2022-80
pp.38-39
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
11:15
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Dynamic Weight Scheduling for Long-tailed Visual Recognition
Xinyuan Li (Ritsumeikan Univ.), Yu Wang (Hitotsubashi Univ.), Jien Kato (Ritsumeikan Univ.) PRMU2022-78 IBISML2022-85
For long-tailed image recognition tasks, re-weighting is effective to alleviate data imbalance by assigning higher weigh... [more] PRMU2022-78 IBISML2022-85
pp.107-110
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
11:25
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Binarization of Vision Transformer with Scaling Factors
Shun Sato, Shun Sawada, Hidefumi Ohmura, Kouichi katsurada (TUS) PRMU2022-83 IBISML2022-90
1bit neural network optimization is an optimization technique that achieves a significant increase in computational spee... [more] PRMU2022-83 IBISML2022-90
pp.134-139
SIS 2023-03-02
14:40
Chiba Chiba Institute of Technology
(Primary: On-site, Secondary: Online)
QR code image dnoising netwroks based on decodability assessment
Kazumitsu Takahashi, Makoto Nakashizuka (CIT) SIS2022-46
In this paper, an image denoising method for QR code images is proposed. The image recovery from the degraded QR code im... [more] SIS2022-46
pp.33-36
CAS, CS 2023-03-01
09:30
Fukuoka Kitakyushu International Conference Center
(Primary: On-site, Secondary: Online)
Modification and Comparison of Learning Sudoku with Convolutional Networks
Koichiro Ishii, Hiroshi Tamura (Chuo Univ.) CAS2022-96 CS2022-73
Sudoku is a logic puzzle in which the number between 1 and 9 is to fill in the boxes of the 9x9 grid by using the number... [more] CAS2022-96 CS2022-73
pp.1-5
RCS, SR, SRW
(Joint)
2023-03-03
09:30
Tokyo Tokyo Institute of Technology, and Online
(Primary: On-site, Secondary: Online)
[Short Paper] Performance Evaluation on Split Learning Assisted Multi-UAV System for Image Classification Task
Sun Tingkai, Wang Xiaoyan (Ibaraki Univ.), Masahiro Umehira (Nanzan Univ.) SR2022-93
Due to its ease of deployment and high mobility, unmanned aerial vehicles (UAVs) have gained popularity for a variety of... [more] SR2022-93
pp.44-46
CNR, BioX 2023-03-02
11:30
Oita
(Primary: On-site, Secondary: Online)
A Study on Single Modal Ear Acoustic Personal Authentication System
Sora Takagi (Kansai Univ.), Shunsuke Kita (ORIST), Yoshinobu Kajikawa (Kansai Univ.) BioX2022-73 CNR2022-39
Biometric authentication requires the provision of the user's personal biometric information.Currently, the mainstream b... [more] BioX2022-73 CNR2022-39
pp.65-68
US 2023-02-28
16:35
Osaka Kindai University (Higashi-osaka) CNN classification of parametric images using moments of ultrasound images for quantitative diagnosis of liver fibrosis
Akiho Isshiki (Chiba Univ.), Dar-In Tai (CGMH), Po-Hsiang Tsui (Chang Gung Univ.), Kenji Yoshida, Tadashi Yamaguchi, Shinnosuke Hirata (Chiba Univ.) US2022-82
The progression of diffuse liver disease and the therapeutic effect can be evaluated by the estimation of liver fibrosis... [more] US2022-82
pp.34-39
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
10:45
Hokkaido Hokkaido Univ. A Note on Multi-label Image Classification in Animation Illustration Considering Hierarchical Relationships of Attributes
Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a multi-label classification of animated illustrations considering the hierarchical relationships of... [more]
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
11:00
Hokkaido Hokkaido Univ. Discussion and user study of displaying 360-degree video that follows RoI
Yuuki Sawabe (UTokyo), Satoshi Ikehata (NII), Kiyoharu Aizawa (UTokyo) ITS2022-63 IE2022-80
Although 360° video images contain information in all directions, the user's viewing angle is limited, resulting in over... [more] ITS2022-63 IE2022-80
pp.118-123
IE 2023-02-02
13:30
Tokyo NII
(Primary: On-site, Secondary: Online)
Recognition Based on Imperfect Information Using Deep Learning Model -- Estimating the Number of Blocks Included in Three-Dimensional Structure --
Takuto Nakazawa, Shigeru Kubota (Yamagata Univ.) IE2022-51
Even though the visual information obtained is imperfect, we can estimate a correct answer by using a knowledge that we ... [more] IE2022-51
pp.1-5
ICTSSL, CAS 2023-01-26
11:15
Tokyo TBD
(Primary: On-site, Secondary: Online)
On Image Recognition Neural Networks and Polynomial Approximation of Images
Jiahang Chang, Kazuya Ozawa, Hideaki Okazaki (SIT) CAS2022-66 ICTSSL2022-30
In this report, we present a convolutional neural network that we have built ourselves for our research. Then, we discus... [more] CAS2022-66 ICTSSL2022-30
pp.23-27
EST 2023-01-27
09:30
Okinawa
(Primary: On-site, Secondary: Online)
Traffic volume survey system installed on utility poles using piezo sensor -- Vehicle Passage Detection Technology --
Keisuke Kako, Akihiro Tsuno, Ichiru Miyahashi, Hideaki Kimura (Chubu Univ.) EST2022-89
Conventionally, traffic volume surveys conducted by the Ministry of Land, Infrastructure, Transport and Tourism (MLIT) a... [more] EST2022-89
pp.78-83
KBSE 2023-01-20
13:00
Ishikawa  
(Primary: On-site, Secondary: Online)
A study for using deep learning inference results of program defects in code review checklists
Kazuhiko Ogawa, Takako Nakatani (OUJ) KBSE2022-51
In system development, various efforts are made to improve the quality of programs.
One of these efforts is code review... [more]
KBSE2022-51
pp.46-51
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