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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] 2022-05-20
10:40
Kumamoto Kumamoto University
(Primary: On-site, Secondary: Online)
n this paper, GAN learning was performed using a dataset of live-action pig images taken in the previous year to generat... [more]
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
15:35
Online online Liver Tumor Segmentation by Using a Massive-Training Artificial Neural Network (MTANN) and its Analysis in Liver CT.
Yuqiao Yang, Muneyuki Sato, Ze Jin, Kenji Suzuki (Tokyo Tech)
Based on a 3D massive-training artificial neural network (MTANN) combined with a Hessian-based ellipse enhancer, a small... [more]
IEICE-IE, IEICE-ITS, MMS, ME, 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)
As one of purpose of study on image segmentation, we are able to consider whether between object and background region c... [more]
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
10:00
Hokkaido Hokkaido Univ.
(Cancelled)
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)
We have been promoting smart mobility like advanced navigation services or driving support services. GPS is one of usefu... [more]
IEICE-IE, IEICE-EMM, IEICE-LOIS, IEE-CMN, 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.)
In this paper, we propose a novel watermarking method against print-cam attack.
Digital watermarking is used to get inf... [more]

AIT, IIEEJ, AS, CG-ARTS 2019-03-12
15:45
Tokyo Waseda Univ. Semantic Segmentation for 3D Human Models
Satoshi Yamaguchi, Yoshihiro Kanamori, Jun Mitani (University of Tsukuba)
We propose a technique for semantic segmentation of 3D human models. Existing techniques for general 3D objects solely r... [more] AIT2019-80
pp.119-122
 Results 1 - 6 of 6  /   
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