Abdelmalik Taleb‐Ahmed
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View article: Gated Attention-Augmented Double U-Net for White Blood Cell Segmentation
Gated Attention-Augmented Double U-Net for White Blood Cell Segmentation Open
Segmentation of white blood cells is critical for a wide range of applications. It aims to identify and isolate individual white blood cells from medical images, enabling accurate diagnosis and monitoring of diseases. In the last decade, m…
View article: LoLA-SpecViT: Local attention SwiGLU vision transformer with LoRA for hyperspectral imaging
LoLA-SpecViT: Local attention SwiGLU vision transformer with LoRA for hyperspectral imaging Open
View article: Enhanced UAV Navigation in Cluttered Environments via a BS-CYOLOv5 Multi-Sensor Approach
Enhanced UAV Navigation in Cluttered Environments via a BS-CYOLOv5 Multi-Sensor Approach Open
Unmanned Aerial Vehicles (UAVs) are critical for applications like aerial surveillance, disaster response, and urban air mobility. Operating safely in these dynamic environments requires robust autonomous navigation and obstacle avoidance …
View article: Integrating perceptual quality analysis and caption-based features for robust deepfake video detection
Integrating perceptual quality analysis and caption-based features for robust deepfake video detection Open
View article: A Study on Autonomous Navigation and Obstacle Avoidance Systems for UAVs Using Deep Learning Techniques
A Study on Autonomous Navigation and Obstacle Avoidance Systems for UAVs Using Deep Learning Techniques Open
Unmanned Aerial Vehicles (UAVs) play a vital role in applications such as aerial surveillance, disaster management , and urban air mobility. To ensure safe operation in dynamic environments, robust autonomous navigation and obstacle avoida…
View article: Beyond Linear Bottlenecks: Spline-Based Knowledge Distillation for Culturally Diverse Art Style Classification
Beyond Linear Bottlenecks: Spline-Based Knowledge Distillation for Culturally Diverse Art Style Classification Open
Art style classification remains a formidable challenge in computational aesthetics due to the scarcity of expertly labeled datasets and the intricate, often nonlinear interplay of stylistic elements. While recent dual-teacher self-supervi…
View article: Advancing wheat crop analysis: A survey of deep learning approaches using hyperspectral imaging
Advancing wheat crop analysis: A survey of deep learning approaches using hyperspectral imaging Open
International audience
View article: Terahertz for Radar applications and Wireless Communication
Terahertz for Radar applications and Wireless Communication Open
Technological advancements in the design of electronic and optical materials have opened up the possibility of utilizing the latest available Radio Frequency spectrum the Terahertz (THz) band. This band holds great promise for next-generat…
View article: Cancer Classification through Gene Selection Using the Social Spider Optimization Algorithm
Cancer Classification through Gene Selection Using the Social Spider Optimization Algorithm Open
Cancer is a leading cause of global mortality, underscoring the need for advanced diagnostic tools to enable early and accurate detection. Microarray technology allows for the simultaneous analysis of thousands of genes, offering valuable …
View article: Boosting hyperspectral image classification with Gate-Shift-Fuse mechanisms in a novel CNN-Transformer approach
Boosting hyperspectral image classification with Gate-Shift-Fuse mechanisms in a novel CNN-Transformer approach Open
View article: Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging
Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging Open
As one of the most widely cultivated and consumed crops, wheat is essential to global food security. However, wheat production is increasingly challenged by pests, diseases, climate change, and water scarcity, threatening yields. Tradition…
View article: DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images
DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images Open
This paper introduces DeeCLIP, a novel framework for detecting AI-generated images using CLIP-ViT and fusion learning. Despite significant advancements in generative models capable of creating highly photorealistic images, existing detecti…
View article: PE-CLIP: A Parameter-Efficient Fine-Tuning of Vision Language Models for Dynamic Facial Expression Recognition
PE-CLIP: A Parameter-Efficient Fine-Tuning of Vision Language Models for Dynamic Facial Expression Recognition Open
Vision-Language Models (VLMs) like CLIP offer promising solutions for Dynamic Facial Expression Recognition (DFER) but face challenges such as inefficient full fine-tuning, high complexity, and poor alignment between textual and visual rep…
View article: Enhanced automated Alzheimer’s disease detection from MRI images by exploring handcrafted and transfer learning feature extraction methods
Enhanced automated Alzheimer’s disease detection from MRI images by exploring handcrafted and transfer learning feature extraction methods Open
The rising prevalence of Alzheimer’s disease (AD) poses a significant global health challenge. Early detection of AD enables appropriate and timely treatment to slow disease progression. In this paper, we propose an enhanced procedure for …
View article: A multi-scale convolutional neural network and discrete wavelet transform based retinal image compression
A multi-scale convolutional neural network and discrete wavelet transform based retinal image compression Open
The different applications of medical images have contributed significantly to the growing amount of image data. As a result, compression techniques become essential to allow real-time transmission and storage within limited network bandwi…
View article: Some Applications envisaged for the new generation of communications networks 6G
Some Applications envisaged for the new generation of communications networks 6G Open
Future applications such as intelligent vehicles, the Internet of Things and holographic telepresence are already highlighting the limits of existing fifth-generation (5G) mobile networks. These limitations relate to data throughput, laten…
View article: Efficient LLR approximation using machine learning in symmetric-alpha-stable channels
Efficient LLR approximation using machine learning in symmetric-alpha-stable channels Open
In environments characterized by impulsive noise, such as Symmetric-α-Stable (SαS) channels, the channel parameters α and γ need to be fixed to approximate the Log-Likelihood Ratio (LLR) computation required by many decoders. The possible …
View article: Synergizing CNNs and Transformers for Accurate Face Age Estimation
Synergizing CNNs and Transformers for Accurate Face Age Estimation Open
Estimating the actual and perceived age of human faces has garnered significant interest for its wide-ranging practical applications. Various intelligent scenarios stand to gain from these computational systems capable of accurately predic…
View article: Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging
Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging Open
View article: Advances in AI-Generated Images and Videos.
Advances in AI-Generated Images and Videos. Open
In recent years generative AI models and tools have experienced a significant increase, especially techniques to generate synthetic multimedia content, such as images or videos. These methodologies present a wide range of possibilities; ho…
View article: Electrostatic Force Regularization for Neural Structured Pruning
Electrostatic Force Regularization for Neural Structured Pruning Open
The demand for deploying deep convolutional neural networks (DCNNs) on resource-constrained devices for real-time applications remains substantial. However, existing state-of-the-art structured pruning methods often involve intricate imple…
View article: Boosting house price estimations with Multi-Head Gated Attention
Boosting house price estimations with Multi-Head Gated Attention Open
View article: FIDAVL: Fake Image Detection and Attribution using Vision-Language Model
FIDAVL: Fake Image Detection and Attribution using Vision-Language Model Open
We introduce FIDAVL: Fake Image Detection and Attribution using a Vision-Language Model. FIDAVL is a novel and efficient mul-titask approach inspired by the synergies between vision and language processing. Leveraging the benefits of zero-…
View article: LLR estimation using machine learning
LLR estimation using machine learning Open
View article: Blind Mutually Referenced Equalizer with Qpsk Modulation in Mimo Communications Systems
Blind Mutually Referenced Equalizer with Qpsk Modulation in Mimo Communications Systems Open
View article: Boosting House Price Estimations with Multi-Head Gated Attention
Boosting House Price Estimations with Multi-Head Gated Attention Open
View article: Pain Analysis using Adaptive Hierarchical Spatiotemporal Dynamic Imaging
Pain Analysis using Adaptive Hierarchical Spatiotemporal Dynamic Imaging Open
Automatic pain intensity estimation plays a pivotal role in healthcare and medical fields. While many methods have been developed to gauge human pain using behavioral or physiological indicators, facial expressions have emerged as a promin…
View article: Facial Beauty Prediction Using an Ensemble of Deep Convolutional Neural Networks
Facial Beauty Prediction Using an Ensemble of Deep Convolutional Neural Networks Open
The topic of facial beauty analysis has emerged as a crucial and fascinating subject of human culture. With various applications and significant attention from researchers, recent studies have investigated the relationship between facial f…
View article: Deep Learning Solution for Quantification of Fluorescence Particles on a Membrane
Deep Learning Solution for Quantification of Fluorescence Particles on a Membrane Open
The detection and quantification of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) virus particles in ambient waters using a membrane-based in-gel loop-mediated isothermal amplification (mgLAMP) method can play an important r…
View article: Automatically weighted binary multi-view clustering via deep initialization (AW-BMVC)
Automatically weighted binary multi-view clustering via deep initialization (AW-BMVC) Open
International audience