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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 57  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
AIT, 3DMT, OSJ-HODIC 2023-09-08
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
Osaka Osaka Metropolitan Univ.
(Primary: On-site, Secondary: Online)
Improving Performance of Convolutional Neural Network-Based Driver Behavior Recognition
Shengbiao Wang, Koji Iwano (Tokyo City Univ.)
This study investigates the automatic recognition of driver behaviors using images captured by in-vehicle cameras for th... [more] ME2023-90
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]
IST 2023-06-21
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
IIEEJ, AIT 2023-06-03
(Primary: On-site, Secondary: Online)
Video Encoding Scheme Using Autoencoder with Learning Decoded Image of Previous Frame
Koki Inoue, Atsushi Koike (Seikei Univ)
In recent years, research on image processing using deep learning has been active, and an image coding method using neur... [more] AIT2023-131
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] 2023-02-21
Hokkaido Hokkaido Univ. Fast designing method of additional patterns in self-referential holographic data storage -- Approach using deep neural network --
Kazuki Chijiwa, Masanori Takabayashi (Kyushu Inst. of Tech.)
In self-referential holographic data storage (SR-HDS) known as a purely one-beam holographic recording method, it has be... [more] MMS2023-7 ME2023-27 AIT2023-7
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] 2023-02-22
Hokkaido Hokkaido Univ. A Note on Age Estimation of Chum Salmon based on Characteristics of Annulus
Mikiyasu Nishiyama, Genki Suzuki, Hiroyuki Shioya (Muroran IT)
In Hokkaido, fishing salmon, squid, and other representative regional marine products could be better, and research and ... [more] MMS2023-30 ME2023-50 AIT2023-30
IST 2022-12-12
Shizuoka Sanaru Hall [Poster Presentation] [Poster Presentation] Non-invasive non-contact gingival thickness imaging using visible light and near infrared light
Ryotaro Mori, Keiichiro Kagawa (Shizuoka Univ.), Jun Tanida (Osaka Univ.), Chizuko Ogata (Osaka Dental Univ.)
Gingival thickness is important information in periodontal surgery and gingival recession. In this study, we propose a n... [more] IST2022-56
3DMT 2022-10-17
(Primary: On-site, Secondary: Online)
Blurring correction using super-resolution on convolutional neural Network for aerial image with dihedral corner reflector array
Takumi Nagao, Daisuke Miyazaki (Osaka Metropolitan Univ.)
Aerial images with dihedral corner reflector array have the advantages that they do not have image aberration and restri... [more] 3DMT2022-47
BCT, IEICE-SIS 2022-10-13
Aomori Hachinohe Institute of Technology
(Primary: On-site, Secondary: Online)
[Invited Talk] Quasiconformal Mapping and its Application -- Numerical Method and Application to Machine Learning --
Hirokazu Shimauchi (Hachinohe Inst. of Tech.)
Quasiconformal mapping is a natural generalization of conformal mapping and plays an important role in the areas of math... [more]
IST 2022-09-22
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
Image Classification Using Neural Network for Feature Extractable CMOS Image Sensor
Kohei Yamamoto, Kota Yoshida, Shunsuke Okura (Ritsumei Univ)
CMOS image sensors are expected to be integrated with AI using deep learning for new technologies. Our research group ha... [more] IST2022-39
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] 2022-05-20
Kumamoto Kumamoto University
(Primary: On-site, Secondary: Online)
3D Medical Image Segmentation Using 2.5D Deformable Convolutional CNN
Yuya Okumura, Kudo Hiroyuki, Takizawa Hotaka (Tsukuba Univ.)
An effective method to improve the accuracy of 3D medical image segmentation using deep learning is to use deformable co... [more]
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] 2022-05-20
Kumamoto Kumamoto University
(Primary: On-site, Secondary: Online)
Deformable registration of 3D medical images with Deep Residual UNet
Taiga Nakamura, Yuki Sato, Hiroyuki Kudo, Hotaka Takizawa (Univ. of Tsukuba)
(To be available after the conference date) [more]
AIT, IIEEJ, AS, CG-ARTS 2022-03-08
Online Online Towards the 3D reconstruction from illustration images
Shen Qian, Itoh Takayuki (Ocha Univ.)
This paper presents our trial of 3D model reconstruction from illustration images. Recovery of the depth information i... [more] AIT2022-100
HI, IEICE-HIP, ASJ-H, VRPSY [detail] 2022-02-27
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
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
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] 2022-02-22
Online online A Note on Perceived Visual Content Estimation Based on Compressed Reconstruction Network Using Brain Signals While Gazing on Images
Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido University)
In this paper, we propose a method to reconstruct a perceived image using brain signals obtained during gazing images. S... [more] MMS2022-28 ME2022-53 AIT2022-28
BCT, IEICE-CS, IPSJ-AVM, IEICE-IE [detail] 2021-11-25
Online Online Acceleration of Neural Network Visualization RISE by Reduction of Masks
Tomoki Nakada, Imamura Kousuke (Kanazawa Univ.)
Recently, various techniques have been proposed to visualize the basis for decisions in image recognition using neural n... [more]
BCT, IEEE-BT 2021-09-03
Online Online Convolutional Radio Modulation Recognition Networks with Attention Models in Wireless Systems
Haohui Jia, Na Chen, Minoru Okada (NAIST)
In modern wireless systems, deep learning (DL) shows promising performance for wireless signal processing. DL model driv... [more] BCT2021-35
AIT, IIEEJ, AS, CG-ARTS 2021-03-08
Online Online An Experimental Study on Recognizing Kuzushiji using Deep Learning
Fumiya Masuda, Syuhei Sato, Shangce Gao, Zheng Tang (Univ. of Toyama)
Kuzushiji is a typeface used in ancient documents, and has a characteristic of fluent handwriting with a brush. Ancient ... [more] AIT2021-90
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