12 citations · 22 across the 13 of their papers we have counts for
35 papers
Efficient Directed Graph Sampling via Gershgorin Disc Alignment
Yuejiang Li, Hong Vicky Zhao, Gene Cheung
Graph sampling is the problem of choosing a node subset via sampling matrix to collect samples $\mathbf{y} = \mathbf{H} \mathbf{x} \in \mathbb…
Hybrid Model-based / Data-driven Graph Transform for Image Coding
Saghar Bagheri, Tam Thuc Do, Gene Cheung +1
Transform coding to sparsify signal representations remains crucial in an image compression pipeline. While the Karhunen-Loève transform (KLT) computed from an empirical covariance…
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…
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…