114 citations · 140 across the 2 of their papers we have counts for
2 papers
cs.CV2015★ 114 cited
Evaluating Two-Stream CNN for Video Classification
Hao Ye, Zuxuan Wu, Rui-Wei Zhao +3
Videos contain very rich semantic information. Traditional hand-crafted features are known to be inadequate in analyzing complex video semantics. Inspired by the huge success of th…
cs.CV2015★ 26 cited
Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification
Zuxuan Wu, Xi Wang, Yu-Gang Jiang +2
Classifying videos according to content semantics is an important problem with a wide range of applications. In this paper, we propose a hybrid deep learning framework for video cl…