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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2022-09-15
10:15		 Kanagawa
(Primary: On-site, Secondary: Online)		 Image retrieval for animated characters from original works, derivative works and merchandise
Shiqi Mao (Ritsumeiken Univ), Longjiao Zhao (Nagoya Univ.), Yu Wang (Hitotsubashi Univ.), Jien Kato (Ritsumeiken Univ) PRMU2022-19		 Recently, there are many successful models for retrieving animated characters. However, conventional studies have mainly... [more] PRMU2022-19
pp.55-60
PRMU 2020-12-18
17:15		 Online Online Rethinking the local similarity in content-based image retrieval
Longjiao Zhao (Nagoya Univ.), Yu Wang (Ritsumeikan Univ), Yoshiharu Ishikawa (Nagoya Univ.), Jien Kato (Ritsumeikan Univ) PRMU2020-68		 Recently, Convolutional Neural Networks(CNN) have shown good performance in the image retrieval task. Especially, local ... [more] PRMU2020-68
pp.172-176
PRMU, CNR 2017-02-19
14:10		 Hokkaido   More Convolution Filters for Better Image Retrieval
Longjiao Zhao, Yu Wang, Jien Kato, Kenji Mase (Nagoya Univ.) PRMU2016-194 CNR2016-61		 Recently, a lot of works have shown the advantages of utilizing the deep descriptor on image retrieval,which uses the fe... [more] PRMU2016-194 CNR2016-61
pp.211-212
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