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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 29  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIS 2021-03-04
13:30
Online Online Improvement of Detection Accuracy of Calcification Regions from Dental Panoramic Radiograph Using Deep Learning
Taito Murano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital), Dewake Nanae, Yasuaki Ishioka, Nobuo Yoshinari (Matsumoto Dental Univ.) SIS2020-45
(To be available after the conference date) [more] SIS2020-45
pp.55-60
PRMU, IPSJ-CVIM 2021-03-05
14:10
Online Online A Consideration on Suspicious Object Detection by Mixup and Improved U-Net
Naruki Kanno, Wataru Kameyama, Toshio Sato, Yutaka Katsuyama, Takuro Sato (Waseda Univ.) PRMU2020-90
(To be available after the conference date) [more] PRMU2020-90
pp.121-126
PRMU, IPSJ-CVIM 2021-03-05
14:25
Online Online Semantic Segmentation based on MobileNet Extended with FPN
Yuki Sugimoto, Masaki Aono (TUT) PRMU2020-91
(To be available after the conference date) [more] PRMU2020-91
pp.127-132
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
14:50
Online Online Production and Evaluation of Data Set for Semantic Segmentation of 3D CG Image by H.265/HEVC
Norifumi Kawabata (Tokyo Univ. of Science) ITS2020-30 IE2020-44
As one of purpose of study on image segmentation, we are able to consider whether between object and background region c... [more] ITS2020-30 IE2020-44
pp.19-24
CPSY, RECONF, VLD, IPSJ-ARC, IPSJ-SLDM [detail] 2021-01-26
09:50
Online Online FPGA Implementation of Semantic Segmentation on LWIR Images for Autonomous Robot
Yuichiro Niwa (ATLA), Taiki Fujii (eSOL) VLD2020-57 CPSY2020-40 RECONF2020-76
Recently, deep learning of images has made remarkable progress, and its results are being applied to the automatic
reco... [more]
VLD2020-57 CPSY2020-40 RECONF2020-76
pp.101-106
PRMU 2020-12-17
14:55
Online Online Improving the accuracy of unsupervised segmentation by introducing a Laplacian filter loss function -- Application to automotive wire harness components --
Yuki Matsumoto (SEI) PRMU2020-45
Semantic segmentation, in which images are classified into pixel-by-pixel classes by deep learning, has been widely stud... [more] PRMU2020-45
pp.42-46
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-06
13:25
Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)
Detection of running area from forest road images with different image quality using deep learning
Misato Ushiro, Tetsuya Higashino, Yuukou Horita (Univ. of Toyama) IMQ2019-60 IE2019-142 MVE2019-81
Natural disasters such as falling rocks and landslides are increasing year by year on forest roads in hilly and mountain... [more] IMQ2019-60 IE2019-142 MVE2019-81
pp.231-234
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-27
10:00
Hokkaido Hokkaido Univ.
(Cancelled but technical report was issued)
A lane estimation method by road image analysis with influence reduction of other vehicles
Kohei Mori, Yuki Yokohata, Takahiro Hata, Aki Hayashi, Kazuaki Obana (NTT) ITS2019-31 IE2019-69
We have been promoting smart mobility like advanced navigation services or driving support services. GPS is one of usefu... [more] ITS2019-31 IE2019-69
pp.135-138
IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] 2020-01-22
16:55
Kanagawa Raiosha, Hiyoshi Campus, Keio University A Comparison of Filter for Convolutional Neural Network towards Hardware Implementation
Kosuke Akimoto, Youki Sada, Shimpei Sato, Hiroki Hakahara (Tokyo Tech) VLD2019-64 CPSY2019-62 RECONF2019-54
Convolutional neural networks have high recognition accuracy in computer vision task, and many of the learned filters ar... [more] VLD2019-64 CPSY2019-62 RECONF2019-54
pp.61-66
HCGSYMPO
(2nd)
2019-12-11
- 2019-12-13
Hiroshima Hiroshima-ken Joho Plaza (Hiroshima) Class Augmentation For Semantic Segmentation by Integrating Multiple Methods
Qiusheng Wang, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.)
Along with the development of autonomous driving and Augmented Reality (AR), we need technologies that can help understa... [more]
ITE-BCT, SIS 2019-10-24
11:50
Fukui Fukui International Activities Plaza A Study on Intersection Detection and Recognition Using Only a Monocular Camera for Visual Navigation
Kouchi Matsutani, Takuto Watanabe, Takuro Oki, Ryusuke Miyamoto (Meiji Univ.) SIS2019-12
To realize autonomous mobile robot system that does not require expensive sensing devices such as LiDAR and RADAR, we th... [more] SIS2019-12
pp.5-10
MVE 2019-10-10
14:50
Hokkaido   Segnet and U-Net Implementations for Water Hyacinth Semantic Segmentation in Thailand
Supatta Viriyavisuthisakul, Parinya Sanguansat (PIM), Toshihiko Yamasaki (UTokyo) MVE2019-25
Water Hyacinth is an aquatic weed that can spread very quickly. Normally, it can be found in a dam or river. Water Hyaci... [more] MVE2019-25
pp.9-12
IE, EMM, LOIS, IEE-CMN, ITE-ME, IPSJ-AVM [detail] 2019-09-19
15:35
Niigata Tokimeito, Niigata University Digital watermarking method against print-cam attack using deep learning for synchronization
Hiroyuki Imagawa, Motoi Iwata, Koichi Kise (Osaka Pref. Univ.) LOIS2019-12 IE2019-25 EMM2019-69
In this paper, we propose a novel watermarking method against print-cam attack.
Digital watermarking is used to get inf... [more]
LOIS2019-12 IE2019-25 EMM2019-69
pp.31-36
RECONF 2019-05-10
10:00
Tokyo Tokyo Tech Front An FPGA Implementation of the Semantic Segmentation Model with Multi-path Structure
Youki Sada, Masayuki Shimoda, Shimpei Sato, Hiroki Nakahara (titech) RECONF2019-10
Since the convolutional neural network has a high-performance recognition accuracy,
it is expected to implement variou... [more]
RECONF2019-10
pp.49-54
MI 2019-01-22
13:20
Okinawa   Cell image segmentation by Attention module
Yuki Hiramatsu, Kazuhiro Hotta (Meijo Univ.) MI2018-79
(To be available after the conference date) [more] MI2018-79
pp.77-80
PRMU 2018-12-14
10:30
Miyagi   Detection of Partially Occluded Flowers for Robotic Pollination
Ryo Sato, Gustavo Alfonso Garcia Ricardez, Jun Takamatsu, Tsukasa Ogasawara (NAIST) PRMU2018-84
In robotic pollination, detection of partially occluded flowers from a certain viewpoint is very important for making a ... [more] PRMU2018-84
pp.51-56
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-21
13:40
Fukuoka   [Short Paper] Stroke Recovery of Handwritten Chinese Character using Fully Convolutional Networks
Wang Yu Jung, Motoharu Sonogashira (Kyoto Univ.), Atsushi Hashimoto (Omron SINICX), Masaaki Iiyama (Kyoto Univ.) PRMU2018-62 IBISML2018-39
In this paper, we propose a method to recover strokes from offline handwritten Chinese characters. The proposed method e... [more] PRMU2018-62 IBISML2018-39
pp.157-162
PRMU, SP 2018-06-28
17:00
Nagano   PRMU2018-28 SP2018-8 (To be available after the conference date) [more] PRMU2018-28 SP2018-8
pp.35-39
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
15:35
Okinawa   Accuracy Improvement of Fashon Style Classification by Appropriate Training Data and Estimation of Human Regions
Takeshi Nakajima, Takuro Oki, Ryusuke Miyamoto (Meiji Univ.) EA2017-137 SIP2017-146 SP2017-120
Fashion style estimation from an input image where a human wearing clothes exists is a challenging task in the field of ... [more] EA2017-137 SIP2017-146 SP2017-120
pp.197-202
CQ, MVE, IE, IMQ
(Joint) [detail]
2018-03-08
14:10
Okinawa Okinawa Industry Support Center Carbohydrate Counting from Food Images
Hibiki Ikeda, Kyoko Sudo (Toho Univ.), Shigeko Kimura, Kayo Waki (Tokyo Univ.) IMQ2017-34 IE2017-126 MVE2017-76
Type 1 diabetes patients, whoes body doesn't produce enough inslin to control their blood glucose levels,
estimate th... [more]
IMQ2017-34 IE2017-126 MVE2017-76
pp.53-57
 Results 1 - 20 of 29  /  [Next]  
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