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Special Interest Group on Computer Vision and Image Media (IPSJ-CVIM)  (Searched in: 2021)

Search Results: Keywords 'from:2021-05-20 to:2021-05-20'
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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM, IPSJ-NL 2021-05-20
14:40		 Online Online Predicting Humor in Visual and Language Modalities
Zekun Yang, Yuta Nakashima, Haruo Takemura (Osaka Univ.) PRMU2021-1		 Finding humor in videos is an interesting but challenging task because humor can be induced by various signals in the vi... [more] PRMU2021-1
pp.1-6
PRMU, IPSJ-CVIM, IPSJ-NL 2021-05-20
14:55		 Online Online Improvement of Live Music Video Presence Using Zooming
Ai Oishi, Eiji Kamioka (SIT) PRMU2021-2		 Although there are various types of live music video contents, it is difficult for the viewers to get a sense of presenc... [more] PRMU2021-2
pp.7-12
PRMU, IPSJ-CVIM, IPSJ-NL 2021-05-21
10:00		 Online Online Scene Recognition of Omni-Directional Images by Patch-Based CNN
Takumi Hatogai, Takao Yamanaka (Sophia Univ.) PRMU2021-3		 In this paper, a scene recognition method for omni-directional images is proposed using patch-based convolutional neural... [more] PRMU2021-3
pp.13-18
PRMU, IPSJ-CVIM, IPSJ-NL 2021-05-21
10:15		 Online Online PRMU2021-4 In recent years, multi-task learning and multi-domain learning have been developed to improve the accuracy for each task... [more] PRMU2021-4
pp.19-24
PRMU, IPSJ-CVIM, IPSJ-NL 2021-05-21
10:30		 Online Online A Study on Domain Adaptation for Video Action Classification Utilizing Synthetic Data.
Hana Isoi (Ochanomizu Univ.), Atsuko Takefusa (NII), Hidemoto Nakada (AIST), Masato Oguchi (Ochanomizu Univ.) PRMU2021-5		 The lack of learning data is considered as one of the reasons why the classification accuracies of deep neural networks ... [more] PRMU2021-5
pp.25-30
PRMU, IPSJ-CVIM, IPSJ-NL 2021-05-21
10:45		 Online Online 3D human pose and shape reconstruction with differentiable renderer from body part segmentation
Rintaro Sakurai, Kuniaki Uto, Koichi Shinoda (Tokyo Tech) PRMU2021-6		 (To be available after the conference date) [more] PRMU2021-6
pp.31-36
 Results 1 - 6 of 6  /   
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