output
19932026
most citedDynamical decoupling and noise spectroscopy with a superconducting flux qubit

880 citations

Showing 2024 · cs.CVShow all

5 papers · 2 filters

cs.CV2024★ 24 cited

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.CV2024★ 7 cited

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★ 21 cited

CATD: Unified Representation Learning for EEG-to-fMRI Cross-Modal Generation

Weiheng Yao, Zhihan Lyu, Mufti Mahmud +3

Multi-modal neuroimaging analysis is crucial for a comprehensive understanding of brain function and pathology, as it allows for the integration of different imaging techniques, th…

cs.CV2024★ 21 cited

Deep Models for Multi-View 3D Object Recognition: A Review

Mona Alzahrani, Muhammad Usman, Salma Kammoun +2

Human decision-making often relies on visual information from multiple perspectives or views. In contrast, machine learning-based object recognition utilizes information from a sin…

cs.CV2024★ 93 cited

A Comprehensive Survey for Hyperspectral Image Classification: The Evolution from Conventional to Transformers and Mamba Models

Muhammad Ahmad, Salvatore Distifano, Adil Mehmood Khan +7

Hyperspectral Image Classification (HSC) presents significant challenges owing to the high dimensionality and intricate nature of Hyperspectral (HS) data. While traditional Machine…