880 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Saudi Center for Theoretical PhysicsSA54 papers
- Chouaib Doukkali UniversityMA33 papers
- King Abdullah University of Science and TechnologySA29 papers
- Massachusetts Institute of TechnologyUS17 papers
- Georgia Institute of TechnologyUS16 papers
- King Faisal UniversitySA12 papers
- Shura CouncilSA11 papers
- National University of SingaporeSG9 papers
- Northeastern UniversityUS9 papers
- Academy of Sciences Republic of UzbekistanUZ7 papers
- National University of Sciences and TechnologyPK7 papers
- Quaid-i-Azam UniversityPK7 papers
17 papers · 1 filter
NeuroAPS-Net: Neuro-Anatomically Aware Point Cloud Representation for Efficient Alzheimer's Disease Classification
Towhidul Islam, Mufti Mahmud
Alzheimer's disease (AD) is a progressive neurodegenerative disorder and a major cause of dementia. Structural MRI is widely used to analyze AD-related brain atrophy; however, most…
Depth-Aware Image and Video Orientation Estimation
Muhammad Z. Alam, Larry Stetsiuk, M. Umair Mukati +1
This paper introduces a novel approach for image and video orientation estimation by leveraging depth distribution in natural images. The proposed method estimates the orientation…
YOLO-SAT: A Data-based and Model-based Enhanced YOLOv12 Model for Desert Waste Detection and Classification
Abdulmumin Sa'ad, Sulaimon Oyeniyi Adebayo
The global waste crisis is escalating, with solid waste generation expected to increase tremendously in the coming years. Traditional waste collection methods, particularly in remo…
Distributed Deep Learning for Medical Image Denoising with Data Obfuscation
Sulaimon Oyeniyi Adebayo, Ayaz H. Khan
Medical image denoising is essential for improving image quality while minimizing the exposure of sensitive information, particularly when working with large-scale clinical dataset…
EnergyFormer: Energy Attention with Fourier Embedding for Hyperspectral Image Classification
Saad Sohail, Muhammad Usama, Usman Ghous +3
Hyperspectral imaging (HSI) provides rich spectral-spatial information across hundreds of contiguous bands, enabling precise material discrimination in applications such as environ…
EcoWeedNet: A Lightweight and Automated Weed Detection Method for Sustainable Next-Generation Agricultural Consumer Electronics
Omar H. Khater, Abdul Jabbar Siddiqui, M. Shamim Hossain +1
Sustainable agriculture plays a crucial role in ensuring world food security for consumers. A critical challenge faced by sustainable precision agriculture is weed growth, as weeds…
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…
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…
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…
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…
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…
P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds
Ruikai Cui, Shi Qiu, Saeed Anwar +4
Point cloud completion aims to recover the complete shape based on a partial observation. Existing methods require either complete point clouds or multiple partial observations of…
Recursions Are All You Need: Towards Efficient Deep Unfolding Networks
Rawwad Alhejaili, Motaz Alfarraj, Hamzah Luqman +1
The use of deep unfolding networks in compressive sensing (CS) has seen wide success as they provide both simplicity and interpretability. However, since most deep unfolding networ…
Automatized marine vessel monitoring from sentinel-1 data using convolution neural network
Surya Prakash Tiwari, Sudhir Kumar Chaturvedi, Subhrangshu Adhikary +2
The advancement of multi-channel synthetic aperture radar (SAR) system is considered as an upgraded technology for surveillance activities. SAR sensors onboard provide data for coa…
Subsurface structure analysis using computational interpretation and learning: A visual signal processing perspective
G. AlRegib, M. Deriche, Z. Long +5
Understanding Earth's subsurface structures has been and continues to be an essential component of various applications such as environmental monitoring, carbon sequestration, and…
A comparative study of texture attributes for characterizing subsurface structures in seismic volumes
Zhiling Long, Yazeed Alaudah, Muhammad Ali Qureshi +8
In this paper, we explore how to computationally characterize subsurface geological structures presented in seismic volumes using texture attributes. For this purpose, we conduct a…
Image Denoising Via Collaborative Support-Agnostic Recovery
Muzammil Behzad, Mudassir Masood, Tarig Ballal +2
In this paper, we propose a novel image denoising algorithm using collaborative support-agnostic sparse reconstruction. An observed image is first divided into patches. Similarly s…