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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 447  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
EMM, IT 2021-05-21
14:25
Online Online A reversible data hiding method with high flexibility in compressive encrypted images
Ryota Motomura, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.)
(To be available after the conference date) [more]
MI 2021-03-16
13:15
Online Online [Short Paper] Feature extraction using AutoEncorder from nodular shadows on chest CT images
Yuta Tanaka, Takeshi Hara, Xiangrong Zhou (Gifu Univ.), Masaki Matsusako, Taiki Nozaki (St. Luke's Hosp.) MI2020-71
Lung cancer mortality in men is 86.7% in 2018. If the benign and malignant lung cancer and the growth rate of nodules ca... [more] MI2020-71
pp.99-101
MI 2021-03-17
10:45
Online Online [Short Paper] Preliminary study for improving the performance of abdominal multi-phase CT image registration based on 3D deep CNN with a CycleGAN
Ryotaro Fuwa, Xiangong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2020-90
Deep learning is expected to be an approach to solve the problem of accurate medical image alignment. Recently, VoxelMor... [more] MI2020-90
pp.182-185
EMM 2021-03-04
13:30
Online Online [Poster Presentation] Object Boundary Correction for Monocular Depth Estimation Using Region Segmentation
Ikuma Yasukawa, Shoko Imaizumi (Chiba Univ.) EMM2020-67
We propose a new method to generate high-quality depth images in this paper. The proposed method corrects object boundar... [more] EMM2020-67
pp.1-6
PRMU, IPSJ-CVIM 2021-03-04
16:05
Online Online Media detection from cardiovascular OCT images based on deep learning
jiwei zhang, kai wang (wakayama univ), Takashi Kubo (Wakayama Medical Univ), haiyuan wu (wakayama univ) PRMU2020-80
Medical image segmentation is an important issue in determining whether medical images can provide reliable evidence in ... [more] PRMU2020-80
pp.65-70
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
11:40
Online Online Estimation of Imagined Rhythm and Its Active Area from Electroencephalogram Using Deep Learning
Naoki Yoshimura, Toshihisa Tanaka (TUAT) EA2020-63 SIP2020-94 SP2020-28
Rhythm is one element of music, and it is known that rhythm perception and imagery appear in an electroencephalogram (EE... [more] EA2020-63 SIP2020-94 SP2020-28
pp.21-26
OPE, OCS, OFT
(Joint) [detail]
2021-02-18
15:25
Online Online Infrared image transport using transversely disordered optical fibers of tellurite or chalcogenide glasses
Asuka Nakatani, Tong Hoang Tuan, Shunei Kuroyanagi (TTI), Morio Matsumoto, Goichi Sakai Goichi (Furukawa Denshi), Takenobu Suzuki, Yasutake Ohishi (TTI) OFT2020-59 OPE2020-79
A transversely disordered optical fiber(TDOF) has been proposed in order to overcome the resolution limit of image trans... [more] OFT2020-59 OPE2020-79
pp.17-20
SeMI 2021-01-20
14:50
Online Online SeMI2020-48 Although Convolutional Neural Network (CNN) showed high potential for automatic meter reading, it is facing various chal... [more] SeMI2020-48
pp.27-32
HIP 2020-12-23
14:00
Online Online Analysis of human subjective evaluation using deep neural networks
Yoshiyuki Sato (Tohoku Univ.), Kazuya Matsubara, Yuji Wada (Ritsmeikan Univ.), Satoshi Shioiri (Tohoku Univ.) HIP2020-68
In this research, we constructed an deep learning model to learn and predict several different subjective judgments by h... [more] HIP2020-68
pp.77-80
PRMU 2020-12-18
15:25
Online Online Multi-Task Attention Learning for Fine-grained Recognition
Dichao Liu (NU), Yu Wang (Rits), Kenji Mase (NU), Jien Kato (Rits) PRMU2020-63
Due to its inter-class similarity and intra-class variation, Fine-Grained Image Classification (FGIC) is an intrinsicall... [more] PRMU2020-63
pp.145-150
PRMU 2020-12-18
17:00
Online Online An evaluation method of area detection AI based on contribution pattern variation with noise addition
Yasuhide Mori, Naofumi Hama, Masashi Egi (Hitachi) PRMU2020-67
The processing of image recognition AI using machine learning is generally black-boxed, and grasping the operating chara... [more] PRMU2020-67
pp.166-171
SIS 2020-12-01
14:50
Online Online A Study on Queue Area Detection Using Person Recognition and Tracking
Ningyuan Li, Johei Matsuoka, Kazuya Tago (Tokyo Univ. of Tec.) SIS2020-33
The purpose of this study is to realize the measurement of the number of people in the queue by proposing a method for d... [more] SIS2020-33
pp.31-34
PRMU 2020-10-09
10:45
Online Online Trial of three-dimensional extraction and classification of cell regions in the heart
Asuma Takematsu, Masahiro Migita, Masashi Toda, Yuichiro Arima (Kumamoto Univ.) PRMU2020-21
Analysis of cardiomyocytes is urgently needed to elucidate the pathophysiology of heart disease. Cardiomyocytes are char... [more] PRMU2020-21
pp.15-19
SIS, ITE-BCT 2020-10-01
10:30
Online Online A Proposal of Backlit Image Enhancement Method Improving Visibility of Dark Regions
Masato Akai (Yamaguchi Univ.), Yoshiaki Ueda (Fukuoka Univ.), Takanori Koga (Kindai Univ.), Noriaki Suetake (Yamaguchi Univ.) SIS2020-11
A backlit image often includes both of bright regions and extremely dark regions. The visibility of the dark regions in ... [more] SIS2020-11
pp.5-10
MI 2020-09-03
10:00
Online Online Lung region segmentation of thoracoscopic image with unsupervised image translation
Jumpei Nitta, Megumi Nakao (Kyoto Univ.), Keiho Imanishi (e-Growth Co. Ltd.), Tetsuya Matsuda (Kyoto Univ.) MI2020-19
In endoscopic surgery, it is necessary to understand the three-dimensional structure of the target region to improve saf... [more] MI2020-19
pp.13-18
MI 2020-09-03
11:00
Online Online [Short Paper] Quantitative analysis of epicardial adipose tissue by two-stage segmentation network and its system development
Takayuiki Nagata, Yutaro Iwamoto, Zhao Ziyu (Ritsumeikan Univ), Yuji Tezuka, Hiroki Okada, Kiyosumi Maeda, Atsuyuki Wada, Atsunori Kashiwagi (Kusatsu General Hospital), Yen-Wei Chen (Ritsumeikan Univ) MI2020-23
Diabetes is thought to lead to vascular disease and arteriosclerosis, and there is a need for early detection and treatm... [more] MI2020-23
pp.27-30
IMQ, HIP 2020-08-21
14:30
Online Online Development and accuracy verification of a simple bus passenger counting system using image processing
Shina Takano, Takeshi Natsuno, Yuukou Horita (Univ. of Toyama) IMQ2020-1 HIP2020-21
In rural areas, although the environment surrounding public transportation is harsh, residents need regional public tran... [more] IMQ2020-1 HIP2020-21
pp.1-4
MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] 2020-05-29
15:10
Online Online Distant pedestrian detection from nighttime NIR video by moving-region zooming
Atsuki Hiramatsu, Yusuke Kameda (TUS), Hiroshi Ikeoka (Fukuyama Univ.), Takayuki Hamamoto (TUS) SIP2020-16 BioX2020-16 IE2020-16 MI2020-16
Highly accurate pedestrian detection technology is required for functions such as automatic emergency braking, which are... [more] SIP2020-16 BioX2020-16 IE2020-16 MI2020-16
pp.79-83
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-06
11:35
Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)
Performance improvement by bone removal based on watershed algorithm and texture analysis in extravasation detection using contrast CT images
Hiroki Kimura, Kumiko Arai, Yuichiro Yoshimura, Takaaki Nakada, Shigeto Oda, Toshiya Nakaguchi (Chiba Univ) IMQ2019-34 IE2019-116 MVE2019-55
We are investigating an automatic detection method for extravasation using contrast-enhanced CT images in order to reduc... [more] IMQ2019-34 IE2019-116 MVE2019-55
pp.93-96
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-27
10:15
Hokkaido Hokkaido Univ.
(Cancelled but technical report was issued)
Detection of Vermin Approach to Cages by Image Processing for Optimal Attraction Feeding
Hidehiro Sekoguchi, Saori Hamaguchi, Kazufumi Nakai, Nobuo Ezaki, Yukishige Izue (NITTC), Osamu Takahash (ISE C.L), Naoto Yamabata (HU)
In recent years, damage to agricultural products by wild animals has become serious. There is a system which can monitor... [more]
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