activity
20142022
most citedVideo Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics

262 citations · 1.9k across the 68 of their papers we have counts for

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Showing 2016Show all

6 papers · 1 filter

cs.CV2016

Correlation Preserving Sparse Coding Over Multi-level Dictionaries for Image Denoising

Rui Chen, Huizhu Jia, Xiaodong Xie +1

In this letter, we propose a novel image denoising method based on correlation preserving sparse coding. Because the instable and unreliable correlations among basis set can limit…

cs.CV2016★ 6 cited

Blind restoration for non-uniform aerial images using non-local Retinex model and shearlet-based higher-order regularization

Rui Chen, Huizhu Jia, Xiaodong Xie +1

Aerial images are often degraded by space-varying motion blur and simultaneous uneven illumination. To recover high-quality aerial image from its non-uniform version, we propose a…

cs.CV2016★ 4 cited

An Attention-Driven Approach of No-Reference Image Quality Assessment

Diqi Chen, Yizhou Wang, Tianfu Wu +1

In this paper, we present a novel method of no-reference image quality assessment (NR-IQA), which is to predict the perceptual quality score of a given image without using any refe…

cs.CV2016★ 11 cited

Globally Variance-Constrained Sparse Representation and Its Application in Image Set Coding

Xiang Zhang, Jiarui Sun, Siwei Ma +4

Sparse representation leads to an efficient way to approximately recover a signal by the linear composition of a few bases from a learnt dictionary, based on which various successf…

cs.CV2016★ 2 cited

Face Detection with End-to-End Integration of a ConvNet and a 3D Model

Yunzhu Li, Benyuan Sun, Tianfu Wu +1

This paper presents a method for face detection in the wild, which integrates a ConvNet and a 3D mean face model in an end-to-end multi-task discriminative learning framework. The…

cs.LG2016★ 113 cited

Maximal Sparsity with Deep Networks?

Bo Xin, Yizhou Wang, Wen Gao +1

The iterations of many sparse estimation algorithms are comprised of a fixed linear filter cascaded with a thresholding nonlinearity, which collectively resemble a typical neural n…