271 citations · 1.3k across the 60 of their papers we have counts for
10 papers · 1 filter
Fast Computation of Generalized Eigenvectors for Manifold Graph Embedding
Fei Chen, Gene Cheung, Xue Zhang
Our goal is to efficiently compute low-dimensional latent coordinates for nodes in an input graph -- known as graph embedding -- for subsequent data processing such as clustering.…
Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement
Xue Zhang, Gene Cheung, Jiahao Pang +3
A 3D point cloud is typically constructed from depth measurements acquired by sensors at one or more viewpoints. The measurements suffer from both quantization and noise corruption…
Fast Graph Sampling for Short Video Summarization using Gershgorin Disc Alignment
Sadid Sahami, Gene Cheung, Chia-Wen Lin
We study the problem of efficiently summarizing a short video into several keyframes, leveraging recent progress in fast graph sampling. Specifically, we first construct a similari…
Fast sensor placement by enlarging principle submatrix for large-scale linear inverse problems
Fen Wang, Gene Cheung, Taihao Li +2
Sensor placement for linear inverse problems is the selection of locations to assign sensors so that the entire physical signal can be well recovered from partial observations. In…
Unfolding Projection-free SDP Relaxation of Binary Graph Classifier via GDPA Linearization
Cheng Yang, Gene Cheung, Wai-tian Tan +1
Algorithm unfolding creates an interpretable and parsimonious neural network architecture by implementing each iteration of a model-based algorithm as a neural layer. However, unfo…
Projection-free Graph-based Classifier Learning using Gershgorin Disc Perfect Alignment
Cheng Yang, Gene Cheung, Guangtao Zhai
In semi-supervised graph-based binary classifier learning, a subset of known labels are used to infer unknown labels, assuming that the label signal is smo…
Landmarking for Navigational Streaming of Stored High-Dimensional Media
Yuan Yuan, Gene Cheung, Pascal Frossard +2
Modern media data such as 360 videos and light field (LF) images are typically captured in much higher dimensions than the observers' visual displays. To efficiently browse high-di…
Point Cloud Sampling via Graph Balancing and Gershgorin Disc Alignment
Chinthaka Dinesh, Gene Cheung, Ivan Bajic
3D point cloud (PC) -- a collection of discrete geometric samples of a physical object's surface -- is typically large in size, which entails expensive subsequent operations like v…
Pre-demosaic Graph-based Light Field Image Compression
Yung-Hsuan Chao, Haoran Hong, Gene Cheung +1
An unfocused plenoptic light field (LF) camera places an array of microlenses in front of an image sensor in order to separately capture different directional rays arriving at an i…
Fast & Robust Image Interpolation using Gradient Graph Laplacian Regularizer
Fei Chen, Gene Cheung, Xue Zhang
In the graph signal processing (GSP) literature, it has been shown that signal-dependent graph Laplacian regularizer (GLR) can efficiently promote piecewise constant (PWC) signal r…