114 citations · 154 across the 3 of their papers we have counts for
3 papers
cs.CV2017★ 14 cited
Aggregating Frame-level Features for Large-Scale Video Classification
Shaoxiang Chen, Xi Wang, Yongyi Tang +3
This paper introduces the system we developed for the Google Cloud & YouTube-8M Video Understanding Challenge, which can be considered as a multi-label classification problem defin…
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…