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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 5 of 5  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2022-07-09
11:10		 Hokkaido
(Primary: On-site, Secondary: Online)		 Lung-inside Local Motion Analysis of COPD Patient using 4D-MRI
Chen Ye, Naoko Kawata (Chiba Univ.), Yuma Iwao (QST), Hideaki Haneishi (Chiba Univ.) MI2022-43		 This study aims to establish a local respiratory motion estimation method inside the lung to apply to diagnose chronic o... [more] MI2022-43
pp.42-47
CQ, IMQ, MVE, IE
(Joint) [detail]		 2022-03-09
11:50		 Online Online (Zoom) Simultaneous detection of field keypoints and players in broadcasted soccer videos with YOLOv4
Kazuya Oishi (Kobe Univ.), Junki Tamae (iret), Nobutaka Kuroki (Kobe Univ.), Kensuke Hirano (iret), Masahiro Numa (Kobe Univ.) IMQ2021-20 IE2021-82 MVE2021-49		 In recent years, sports video analysis has been more and more important. Especially, player tracking on broadcasted socc... [more] IMQ2021-20 IE2021-82 MVE2021-49
pp.55-59
VLD, DC, CPSY, RECONF, CPM, ICD, IE
(Joint) [detail]		 2016-11-30
11:45		 Osaka Ritsumeikan University, Osaka Ibaraki Campus Keypoint Detection based on Learning to Rank for Robust Image Matching under Resolution Variation
Satoshi Yoshikawa, Keisuke Kameyama (Univ. of Tsukuba) CPM2016-85 ICD2016-46 IE2016-80		 The image matching by keypoint selection from images is used in various situations in computer vision.
Among them, Sca... [more]		 CPM2016-85 ICD2016-46 IE2016-80
pp.45-50
PRMU 2014-10-09
15:00		 Chiba   Learning Similarities for Rigid and Non-Rigid Object Detection
Asako Kanezaki (Univ. of Tokyo), Emanuele Rodola, Daniel Cremers (Technische Univ. Munchen), Tatsuya Harada (Univ. of Tokyo) PRMU2014-56		 We propose an optimization method for estimating parameters in graph-theoretical formulations of the matching problem fo... [more] PRMU2014-56
pp.13-18
MoNA, IE, ITE-CE, ITE-ME, IPSJ-AVM
(Joint) [detail]		 2012-07-19
15:15		 Ibaraki University Hall, University of Tsukuba Similar Video Retrieval Method based on the Coarsened SURF
Noboru Murabayashi, Kenichi Yoshida (Univ. of Tsukuba) MoMuC2012-14 IE2012-39		 Supposing video frame size is $720 \times 480$ and video retrieval are conducted using local features, there are thousan... [more] MoMuC2012-14 IE2012-39
pp.19-24
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