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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
MVE 2021-09-17
13:30		 Online Online (Online) Distracted Driving Classification with Multi-task Learning
Dichao Liu (NU), Xueting Wang, Toshihiko Yamasaki (Univ.Tokyo), Yu Wang (Rits), Kenji Mase (NU), Jien Kato (Rits) MVE2021-13		  [more] MVE2021-13
pp.27-32
PRMU 2020-12-18
15:25		 Online 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 2017-12-17
10:30		 Kanagawa (Kanagawa) Hierarchical Multi-stream STNs for Fine-grained Action Recognition
Dichao Liu, Yu Wang, Jien Kato (Nagoya Univ.) PRMU2017-103		 Fine-grained action recognition is a difficult problem mainly because that the discriminative information is usually ver... [more] PRMU2017-103
pp.13-17
PRMU, CNR 2017-02-18
15:00		 Hokkaido (Hokkaido) Evaluation of Triple-Stream Convolutional Network for Action Recognition
Dichao Liu, Yu Wang, Jien Kato, Kenji Mase (Nagoya Univ.) PRMU2016-168 CNR2016-35		 Recently, Two-Stream Convolutional Network has achieved remarkable performance. For example, by using static frames and ... [more] PRMU2016-168 CNR2016-35
pp.91-94
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