3 papers
cs.CV2026
DMS2F-HAD: A Dual-branch Mamba-based Spatial-Spectral Fusion Network for Hyperspectral Anomaly Detection
Aayushma Pant, Lakpa Tamang, Tsz-Kwan Lee +1
Hyperspectral anomaly detection (HAD) aims to identify rare and irregular targets in high-dimensional hyperspectral images (HSIs), which are often noisy and unlabelled data. Existi…
cs.CV2025
Hyperspectral Anomaly Detection Methods: A Survey and Comparative Study
Aayushma Pant, Arbind Agrahari Baniya, Tsz-Kwan Lee +1
Hyperspectral images are high-dimensional datasets comprising hundreds of contiguous spectral bands, enabling detailed analysis of materials and surfaces. Hyperspectral anomaly det…
eess.IV2025
A Survey of Deep Learning Video Super-Resolution
Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter Eklund +1
Video super-resolution (VSR) is a prominent research topic in low-level computer vision, where deep learning technologies have played a significant role. The rapid progress in deep…