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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM 2024-03-03
09:36		 Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)		 [Short Paper] Fine-Grained Pedestrian Attribute Recognition with External Data
Ruka Murai (Ritsumeikan Univ.), Yu Wang (Hitotsubashi Univ.), Jiaqing Liu, Jien Kato (Ritsumeikan Univ.) PRMU2023-56		 In traffic accidents, pedestrians constitute the largest proportion of fatalities. To reduce pedestrian fatalities in th... [more] PRMU2023-56
pp.31-34
IMQ 2022-12-16
15:55		 Chiba Nishi-Chiba Campus, Chiba Univ. Improving Pedestrian Attribute Recognition with Spatial Attention and Attribute Correlation
Yichen Chen, Tetsuya Matsumoto (Nagoya Univ.), Yoshinori Takeuchi (Daido Univ.), Hiroaki Kudo (Nagoya Univ.) IMQ2022-18		 In the field of video surveillance, pedestrian attribute recognition is a focus technical thema of study. To predict cer... [more] IMQ2022-18
pp.16-21
PRMU 2015-12-22
14:10		 Nagano   [Special Talk] Pedestrian Attributes Recognition from an Image: A Survey
Yasutomo Kawanishi, Fumito Shinmura, Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) PRMU2015-112		 Pedestrian attributes from an image captured by a camera are important keys for various applications such as person reco... [more] PRMU2015-112
pp.117-127
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