Research

Graph methods for point cloud processing

Image and video compression

Graphs constructions for machine learning applications

Graph-based activity recognition

Graph filterbanks

• • Spectral Folding And Two-Channel Filter-Banks On Arbitrary Graphs

Graph signal sampling

• • Practical graph signal sampling with log-linear size scaling

CoronaSurveys

• • Estimating the COVID-19 Prevalence in Spain With Indirect Reporting via Open Surveys

Active Learning Using Sampling Theory of Graph Signals

Wavelet Filter-banks on Graphs

Edge-adaptive transforms for efficient depth map coding

Distributed Compression for Sensor Networks

Multi-view video coding

Error-tolerant compression

Signal processing for oil field technology, part of CISOFT

Analysis of network traces

See also: old group website

STAC-USC github repositories

Fast JPEG Re-encoding ROMP

Active Learning Using Sampling Theory of Graph Signals

Graph Fourier Transform Interactive Graphical User Interface

Genome Alteration Detection Analysis (GADA)

Wavelet Filterbanks on Graphs

Edge Aware Transforms (EAT) demo

Wavelets on Trees

SenZip (developed jointly with the USC Autonomous Networks Research Group, ANRG)