• Publications
  • Influence
Fast and Accurate Single Image Super-Resolution via Information Distillation Network
Recently, deep convolutional neural networks (CNNs) have been demonstrated remarkable progress on single image super-resolution. However, as the depth and width of the networks increase, CNN-basedExpand
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Ordinal Regression with Multiple Output CNN for Age Estimation
To address the non-stationary property of aging patterns, age estimation can be cast as an ordinal regression problem. However, the processes of extracting features and learning a regression modelExpand
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A survey of graph edit distance
Inexact graph matching has been one of the significant research foci in the area of pattern analysis. As an important way to measure the similarity between pairwise graphs error-tolerantly, graphExpand
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Single Image Super-Resolution With Non-Local Means and Steering Kernel Regression
Image super-resolution (SR) reconstruction is essentially an ill-posed problem, so it is important to design an effective prior. For this purpose, we propose a novel image SR method by learning bothExpand
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Unsupervised video-shot segmentation and model-free anchorperson detection for news video story parsing
  • X. Gao, X. Tang
  • Computer Science
  • IEEE Trans. Circuits Syst. Video Technol.
  • 1 September 2002
News story parsing is an important and challenging task in a news video library system. We address two important components in a news video story parsing system: shot boundary detection andExpand
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Blind Image Quality Assessment via Deep Learning
This paper investigates how to blindly evaluate the visual quality of an image by learning rules from linguistic descriptions. Extensive psychological evidence shows that humans prefer to conductExpand
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Learning Multiple Linear Mappings for Efficient Single Image Super-Resolution
Example learning-based superresolution (SR) algorithms show promise for restoring a high-resolution (HR) image from a single low-resolution (LR) input. The most popular approaches, however, areExpand
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Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval
Thanks to the success of deep learning, cross-modal retrieval has made significant progress recently. However, there still remains a crucial bottleneck: how to bridge the modality gap to furtherExpand
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Random sampling for fast face sketch synthesis
Exemplar-based face sketch synthesis plays an important role in both digital entertainment and law enforcement. It generally consists of two parts: neighbor selection and reconstruction weightExpand
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A spatial-temporal approach for video caption detection and recognition
We present a video caption detection and recognition system based on a fuzzy-clustering neural network (FCNN) classifier. Using a novel caption-transition detection scheme we locate both spatial andExpand
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