406 citations · 527 across the 6 of their papers we have counts for
6 papers
Set-to-Set Hashing with Applications in Visual Recognition
I-Hong Jhuo, Jun Wang
Visual data, such as an image or a sequence of video frames, is often naturally represented as a point set. In this paper, we consider the fundamental problem of finding a nearest…
Learning to Hash for Indexing Big Data - A Survey
Jun Wang, Wei Liu, Sanjiv Kumar +1
The explosive growth in big data has attracted much attention in designing efficient indexing and search methods recently. In many critical applications such as large-scale search…
Deep Attributes from Context-Aware Regional Neural Codes
Jianwei Luo, Jianguo Li, Jun Wang +2
Recently, many researches employ middle-layer output of convolutional neural network models (CNN) as features for different visual recognition tasks. Although promising results hav…
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…
Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks
Yu-Gang Jiang, Zuxuan Wu, Jun Wang +2
In this paper, we study the challenging problem of categorizing videos according to high-level semantics such as the existence of a particular human action or a complex event. Alth…
Compact Hyperplane Hashing with Bilinear Functions
Wei Liu, Jun Wang, Yadong Mu +2
Hyperplane hashing aims at rapidly searching nearest points to a hyperplane, and has shown practical impact in scaling up active learning with SVMs. Unfortunately, the existing ran…