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MS^2L: Multi-Task Self-Supervised Learning for Skeleton Based Action Recognition
In this paper, we address self-supervised representation learning from h...
10/12/2020 ∙ by Lilang Lin, et al. ∙
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Fashion Meets Computer Vision: A Survey
Fashion is the way we present ourselves to the world and has become one ...
03/31/2020 ∙ by Wen-Huang Cheng, et al. ∙
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Modality Compensation Network: Cross-Modal Adaptation for Action Recognition
With the prevalence of RGB-D cameras, multi-modal video data have become...
01/31/2020 ∙ by Sijie Song, et al. ∙
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Unsupervised Person Image Generation with Semantic Parsing Transformation
In this paper, we address unsupervised pose-guided person image generati...
04/06/2019 ∙ by Sijie Song, et al. ∙
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Temporal Bilinear Networks for Video Action Recognition
Temporal modeling in videos is a fundamental yet challenging problem in ...
11/25/2018 ∙ by Yanghao Li, et al. ∙
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PKU-MMD: A Large Scale Benchmark for Continuous Multi-Modal Human Action Understanding
Despite the fact that many 3D human activity benchmarks being proposed, ...
03/22/2017 ∙ by Chunhui Liu, et al. ∙
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An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data
Human action recognition is an important task in computer vision. Extrac...
11/18/2016 ∙ by Sijie Song, et al. ∙
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