114 citations · 182 across the 5 of their papers we have counts for
5 papers
Queries Are Not Alone: Clustering Text Embeddings for Video Search
Peyang Liu, Xi Wang, Ziqiang Cui +1
The rapid proliferation of video content across various platforms has highlighted the urgent need for advanced video retrieval systems. Traditional methods, which primarily depend…
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…
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…
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…
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…