13 citations · 25 across the 3 of their papers we have counts for
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cs.CV2020★ 13 cited
Sparse Semi-Supervised Action Recognition with Active Learning
Jingyuan Li, Eli Shlizerman
Current state-of-the-art methods for skeleton-based action recognition are supervised and rely on labels. The reliance is limiting the performance due to the challenges involved in…
cs.CV2020★ 6 cited
Iterate & Cluster: Iterative Semi-Supervised Action Recognition
Jingyuan Li, Eli Shlizerman
We propose a novel system for active semi-supervised feature-based action recognition. Given time sequences of features tracked during movements our system clusters the sequences i…