406 citations · 3.1k across the 87 of their papers we have counts for
10 papers · 1 filter
On Binary Embedding using Circulant Matrices
Felix X. Yu, Aditya Bhaskara, Sanjiv Kumar +2
Binary embeddings provide efficient and powerful ways to perform operations on large scale data. However binary embedding typically requires long codes in order to preserve the dis…
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…
Visual Affect Around the World: A Large-scale Multilingual Visual Sentiment Ontology
Brendan Jou, Tao Chen, Nikolaos Pappas +3
Every culture and language is unique. Our work expressly focuses on the uniqueness of culture and language in relation to human affect, specifically sentiment and emotion semantics…
PanoSwarm: Collaborative and Synchronized Multi-Device Panoramic Photography
Yan Wang, Sunghyun Cho, Jue Wang +1
Taking a picture has been traditionally a one-persons task. In this paper we present a novel system that allows multiple mobile devices to work collaboratively in a synchronized fa…
CamSwarm: Instantaneous Smartphone Camera Arrays for Collaborative Photography
Yan Wang, Jue Wang, Shih-Fu Chang
Camera arrays (CamArrays) are widely used in commercial filming projects for achieving special visual effects such as bullet time effect, but are very expensive to set up. We propo…
EventNet: A Large Scale Structured Concept Library for Complex Event Detection in Video
Guangnan Ye, Yitong Li, Hongliang Xu +2
Event-specific concepts are the semantic concepts designed for the events of interest, which can be used as a mid-level representation of complex events in videos. Existing methods…
Compact Nonlinear Maps and Circulant Extensions
Felix X. Yu, Sanjiv Kumar, Henry Rowley +1
Kernel approximation via nonlinear random feature maps is widely used in speeding up kernel machines. There are two main challenges for the conventional kernel approximation method…
Deep Transfer Network: Unsupervised Domain Adaptation
Xu Zhang, Felix Xinnan Yu, Shih-Fu Chang +1
Domain adaptation aims at training a classifier in one dataset and applying it to a related but not identical dataset. One successfully used framework of domain adaptation is to le…
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…
An exploration of parameter redundancy in deep networks with circulant projections
Yu Cheng, Felix X. Yu, Rogerio S. Feris +3
We explore the redundancy of parameters in deep neural networks by replacing the conventional linear projection in fully-connected layers with the circulant projection. The circula…