55 citations · 152 across the 7 of their papers we have counts for
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cs.CV2019
Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised Video Summarization
Li Yuan, Francis EH Tay, Ping Li +2
In this paper, we present a novel unsupervised video summarization model that requires no manual annotation. The proposed model termed Cycle-SUM adopts a new cycle-consistent adver…
cs.CV2016★ 24 cited
Constrained Low-Rank Learning Using Least Squares-Based Regularization
Ping Li, Jun Yu, Meng Wang +3
Low-rank learning has attracted much attention recently due to its efficacy in a rich variety of real-world tasks, e.g., subspace segmentation and image categorization. Most low-ra…