693 citations · 1.4k across the 20 of their papers we have counts for
24 papers
Vector-Valued Graph Trend Filtering with Non-Convex Penalties
Rohan Varma, Harlin Lee, Jelena Kovačević +1
This work studies the denoising of piecewise smooth graph signals that exhibit inhomogeneous levels of smoothness over a graph, where the value at each node can be vector-valued. W…
3D Point Cloud Denoising via Deep Neural Network based Local Surface Estimation
Chaojing Duan, Siheng Chen, Jelena Kovacevic
We present a neural-network-based architecture for 3D point cloud denoising called neural projection denoising (NPD). In our previous work, we proposed a two-stage denoising algori…
Sampling Theory for Graph Signals on Product Graphs
Rohan Varma, Jelena Kovačević
In this paper, we extend the sampling theory on graphs by constructing a framework that exploits the structure in product graphs for efficient sampling and recovery of bandlimited…
Weighted Multi-projection: 3D Point Cloud Denoising with Estimated Tangent Planes
Chaojing Duan, Siheng Chen, Jelena Kovačević
As a collection of 3D points sampled from surfaces of objects, a 3D point cloud is widely used in robotics, autonomous driving and augmented reality. Due to the physical limitation…
Multiresolution Representations for Piecewise-Smooth Signals on Graphs
Siheng Chen, Aarti Singh, Jelena Kovačević
What is a mathematically rigorous way to describe the taxi-pickup distribution in Manhattan, or the profile information in online social networks? A deep understanding of represent…
Graph Signal Processing: Overview, Challenges and Applications
Antonio Ortega, Pascal Frossard, Jelena Kovačević +2
Research in Graph Signal Processing (GSP) aims to develop tools for processing data defined on irregular graph domains. In this paper we first provide an overview of core ideas in…