271 citations · 1.3k across the 60 of their papers we have counts for
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Object Shape Approximation & Contour Adaptive Depth Image Coding for Virtual View Synthesis
Yuan Yuan, Gene Cheung, Patrick Le Callet +2
A depth image provides partial geometric information of a 3D scene, namely the shapes of physical objects as observed from a particular viewpoint. This information is important whe…
Robust Semi-Supervised Graph Classifier Learning with Negative Edge Weights
Gene Cheung, Weng-Tai Su, Yu Mao +1
In a semi-supervised learning scenario, (possibly noisy) partially observed labels are used as input to train a classifier, in order to assign labels to unclassified samples. In th…
Random Walk Graph Laplacian based Smoothness Prior for Soft Decoding of JPEG Images
Xianming Liu, Gene Cheung, Xiaolin Wu +1
Given the prevalence of JPEG compressed images, optimizing image reconstruction from the compressed format remains an important problem. Instead of simply reconstructing a pixel bl…
Context Tree based Image Contour Coding using A Geometric Prior
Amin Zheng, Gene Cheung, Dinei Florencio
If object contours in images are coded efficiently as side information, then they can facilitate advanced image / video coding techniques, such as graph Fourier transform coding or…
Graph Laplacian Regularization for Image Denoising: Analysis in the Continuous Domain
Jiahao Pang, Gene Cheung
Inverse imaging problems are inherently under-determined, and hence it is important to employ appropriate image priors for regularization. One recent popular prior---the graph Lapl…
Optimal Lagrange Multipliers for Dependent Rate Allocation in Video Coding
Ana De Abreu, Gene Cheung, Pascal Frossard +1
In a typical video rate allocation problem, the objective is to optimally distribute a source rate budget among a set of (in)dependently coded data units to minimize the total dist…