Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380
[TOP] | [2014] | [2015] | [2016] | [2017] | [2018] | [2019] | [2020] | [Japanese] / [English]
PRMU2017-101
Action Sequence Recognition in Videos by Combining a CTC Network with a Statistical Language Model
Mengxi Lin, Nakamasa Inoue, Koichi Shinoda (Tokyo Tech)
pp. 1 - 6
PRMU2017-102
Hybridization of Algorithmic and Data Approaches for Imbalanced Data Problems in Deep Neural Networks
Rheza Harliman, Kaoru Uchida (Hosei Univ)
pp. 7 - 12
PRMU2017-103
Hierarchical Multi-stream STNs for Fine-grained Action Recognition
Dichao Liu, Yu Wang, Jien Kato (Nagoya Univ.)
pp. 13 - 17
PRMU2017-104
BOJ253
-- A Large-scale Dataset for Butterfly Recognition --
Ruisheng Qin, Yu Wang, Jien Kato (Nagoya Univ.)
pp. 19 - 24
PRMU2017-105
Yusuke Uchida (DeNA), Takayoshi Yamashita (Chubu Univ.)
pp. 25 - 38
PRMU2017-108
Towards Navigation in Urban Area via Pedestrian Positioning using Smart Glasses and Street View Map
Ya Wang, Haitao Wang, Yanlei Gu, Shunsuke Kamijo (UoT)
pp. 45 - 52
PRMU2017-109
Yuto Shinahara, Seiichi Uchida (Kyushu Univ.)
pp. 53 - 58
PRMU2017-110
Estimation of cumbersome situation using in-vehicle camera image and Liders data
Hiroki Mitsui, Yu Wang, Jien Kato (Nagoya Univ.)
pp. 59 - 63
PRMU2017-111
A Background Subtraction Method with an Image Set as a Background Model
Yuya Kasahara, Toru Abe, Takuo Suganuma (Tohoku Univ.)
pp. 65 - 70
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.