114 citations · 182 across the 5 of their papers we have counts for
Showing 2015Show all
3 papers · 1 filter
cs.CV2015★ 28 cited
Fusing Multi-Stream Deep Networks for Video Classification
Zuxuan Wu, Yu-Gang Jiang, Xi Wang +3
This paper studies deep network architectures to address the problem of video classification. A multi-stream framework is proposed to fully utilize the rich multimodal information…
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…