242 citations · 697 across the 11 of their papers we have counts for
11 papers
Dynamic Slimmable Denoising Network
Zutao Jiang, Changlin Li, Xiaojun Chang +2
Recently, tremendous human-designed and automatically searched neural networks have been applied to image denoising. However, previous works intend to handle all noisy images in a…
Decoupled Novel Object Captioner
Yu Wu, Linchao Zhu, Lu Jiang +1
Image captioning is a challenging task where the machine automatically describes an image by sentences or phrases. It often requires a large number of paired image-sentence annotat…
Long-Term Identity-Aware Multi-Person Tracking for Surveillance Video Summarization
Shoou-I Yu, Yi Yang, Xuanchong Li +1
Multi-person tracking plays a critical role in the analysis of surveillance video. However, most existing work focus on shorter-term (e.g. minute-long or hour-long) video sequences…
Dynamic Concept Composition for Zero-Example Event Detection
Xiaojun Chang, Yi Yang, Guodong Long +2
In this paper, we focus on automatically detecting events in unconstrained videos without the use of any visual training exemplars. In principle, zero-shot learning makes it possib…
A Convex Formulation for Spectral Shrunk Clustering
Xiaojun Chang, Feiping Nie, Zhigang Ma +2
Spectral clustering is a fundamental technique in the field of data mining and information processing. Most existing spectral clustering algorithms integrate dimensionality reducti…
Balanced k-Means and Min-Cut Clustering
Xiaojun Chang, Feiping Nie, Zhigang Ma +1
Clustering is an effective technique in data mining to generate groups that are the matter of interest. Among various clustering approaches, the family of k-means algorithms and mi…
A Convex Sparse PCA for Feature Analysis
Xiaojun Chang, Feiping Nie, Yi Yang +1
Principal component analysis (PCA) has been widely applied to dimensionality reduction and data pre-processing for different applications in engineering, biology and social science…
A Discriminative CNN Video Representation for Event Detection
Zhongwen Xu, Yi Yang, Alexander G. Hauptmann
In this paper, we propose a discriminative video representation for event detection over a large scale video dataset when only limited hardware resources are available. The focus o…
Improved Spectral Clustering via Embedded Label Propagation
Xiaojun Chang, Feiping Nie, Yi Yang +1
Spectral clustering is a key research topic in the field of machine learning and data mining. Most of the existing spectral clustering algorithms are built upon Gaussian Laplacian…
Semi-supervised Feature Analysis by Mining Correlations among Multiple Tasks
Xiaojun Chang, Yi Yang
In this paper, we propose a novel semi-supervised feature selection framework by mining correlations among multiple tasks and apply it to different multimedia applications. Instead…
Compound Rank-k Projections for Bilinear Analysis
Xiaojun Chang, Feiping Nie, Sen Wang +3
In many real-world applications, data are represented by matrices or high-order tensors. Despite the promising performance, the existing two-dimensional discriminant analysis algor…