IEEE

Cascade-Transform-Based Tensor Nuclear Norm for Hyperspectral Image Super-Resolution

Abstract: Recent advancements in tensor nuclear norm (TNN) have led to promising solutions for hyperspectral image super-resolution (HSISR), which produces enriched outputs by fusing low-resolution ...
SciELO

Infeasible paths in the context of data flow based testing criteria: identification, classification and prediction

Infeasible paths constitute a bottleneck for the complete automation of software testing, one of the most expensive activities of software quality assurance. Research efforts have been spent on ...
GitHub

Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching

This is the official repository of paper Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching. We propose Distilled Decoding (DD) to distill a pre-trained image ...
IEEE

Patch Tensor-Based Geometric Structure Representation for Hyperspectral Imagery Classification

Hyperspectral remote sensing images (HSIs) have nanometer-level spectral resolution, and the rich spatial and spectral information they contain makes them possible to perform detailed land-cover ...