papers

Publications (25)

cs.CV2025

VLM-PAR: A Vision Language Model for Pedestrian Attribute Recognition

Abdellah Zakaria Sellam, Salah Eddine Bekhouche, Fadi Dornaika +2

Pedestrian Attribute Recognition (PAR) involves predicting fine-grained attributes such as clothing color, gender, and accessories from pedestrian imagery, yet is hindered by sever…

eess.IV2024

D-TrAttUnet: Toward Hybrid CNN-Transformer Architecture for Generic and Subtle Segmentation in Medical Images

Fares Bougourzi, Fadi Dornaika, Cosimo Distante +1

Over the past two decades, machine analysis of medical imaging has advanced rapidly, opening up significant potential for several important medical applications. As complicated dis…

cs.CV2023

Deep Learning Techniques for Hyperspectral Image Analysis in Agriculture: A Review

Mohamed Fadhlallah Guerri, Cosimo Distante, Paolo Spagnolo +2

In the recent years, hyperspectral imaging (HSI) has gained considerably popularity among computer vision researchers for its potential in solving remote sensing problems, especial…

cs.CV2025

DemoBias: An Empirical Study to Trace Demographic Biases in Vision Foundation Models

Abu Sufian, Anirudha Ghosh, Debaditya Barman +2

Large Vision Language Models (LVLMs) have demonstrated remarkable capabilities across various downstream tasks, including biometric face recognition (FR) with description. However,…

cs.CV2025

Markerless Stride Length estimation in Athletic using Pose Estimation with monocular vision

Patryk Skorupski, Cosimo Distante, Pier Luigi Mazzeo

Performance measures such as stride length in athletics and the pace of runners can be estimated using different tricks such as measuring the number of steps divided by the running…

cs.CV2024

Boosting Hyperspectral Image Classification with Gate-Shift-Fuse Mechanisms in a Novel CNN-Transformer Approach

Mohamed Fadhlallah Guerri, Cosimo Distante, Paolo Spagnolo +2

During the process of classifying Hyperspectral Image (HSI), every pixel sample is categorized under a land-cover type. CNN-based techniques for HSI classification have notably adv…