Learning View-Invariant Sparse Representations for Cross-View Action Recognition

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Histogram of Oriented Principal Components for Cross-View Action Recognition (2014, background): “Keywords: Spatio-temporal keypoint, pointcloud, view invariance.”
Unsupervised Cross-Dataset Transfer Learning for Person Re-identification (2016, background): “Note that a number of works [41, 40, 32] have exploited domain adaptation for cross-view classification or verification of faces/actions, based on dictionary learning and/or sparse representation models.”
Partial Multi-Modal Sparse Coding via Adaptive Similarity Structure Regularization (2016, methodology): “VISP method [12] is a view-invariant sparse representations that presents the data in each view using both the corresponding viewspecific dictionary and the common dictionary.”
View Adaptive Neural Networks for High Performance Skeleton-Based Human Action Recognition (2018, unknown): “that employs knowledge transfer-based models [8], [24], [26], [36], [60], [61].”
Cross-View Action Recognition via Transferable Dictionary Learning (2016, background): “Extensive experiments in [29], [53], and [54] have shown that failing to handle”