papers

Publications (47)

cs.CV2025

Transformer-Driven Active Transfer Learning for Cross-Hyperspectral Image Classification

Muhammad Ahmad, Francesco Mauro, Manuel Mazzara +3

Hyperspectral image (HSI) classification presents inherent challenges due to high spectral dimensionality, significant domain shifts, and limited availability of labeled data. To a…

cs.CV2024

DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification

Muhammad Ahmad, Manuel Mazzara, Salvatore Distefano +2

Hyperspectral image classification (HSIC) has gained significant attention because of its potential in analyzing high-dimensional data with rich spectral and spatial information. I…

cs.CV2018

Segmented and Non-Segmented Stacked Denoising Autoencoder for Hyperspectral Band Reduction

Muhammad Ahmad, Asad Khan, Adil Mehmood Khan +1

Hyperspectral image analysis often requires selecting the most informative bands instead of processing the whole data without losing the key information. Existing band reduction (B…

cs.CV2024

Spatial and Spatial-Spectral Morphological Mamba for Hyperspectral Image Classification

Muhammad Ahmad, Muhammad Hassaan Farooq Butt, Adil Mehmood Khan +6

Recent advancements in transformers, specifically self-attention mechanisms, have significantly improved hyperspectral image (HSI) classification. However, these models often suffe…

cs.LG2023

Efficient Data Analytics on Augmented Similarity Triplets

Sarwan Ali, Muhammad Ahmad, Umair ul Hassan +3

Data analysis require a pairwise proximity measure over objects. Recent work has extended this to situations where the distance information between objects is given as comparison r…

cs.SI2019

Combinatorial Trace Method for Network Immunization

Muhammad Ahmad, Sarwan Ali, Juvaria Tariq +3

Immunizing a subset of nodes in a network - enabling them to identify and withstand the spread of harmful content - is one of the most effective ways to counter the spread of malic…