collaborators

5 papers

cs.CV2025

An analysis of vision-language models for fabric retrieval

Francesco Giuliari, Asif Khan Pattan, Mohamed Lamine Mekhalfi +1

Effective cross-modal retrieval is essential for applications like information retrieval and recommendation systems, particularly in specialized domains such as manufacturing, wher…

cs.CV2025

The RaspGrade Dataset: Towards Automatic Raspberry Ripeness Grading with Deep Learning

Mohamed Lamine Mekhalfi, Paul Chippendale, Fabio Poiesi +3

This research investigates the application of computer vision for rapid, accurate, and non-invasive food quality assessment, focusing on the novel challenge of real-time raspberry…

cs.CV2025

Orange Quality Grading with Deep Learning

Mohamed Lamine Mekhalfi, Paul Chippendale, Francisco Fraile +1

Orange grading is a crucial step in the fruit industry, as it helps to sort oranges according to different criteria such as size, quality, ripeness, and health condition, ensuring…

cs.CV2025

Leveraging Confident Image Regions for Source-Free Domain-Adaptive Object Detection

Mohamed Lamine Mekhalfi, Davide Boscaini, Fabio Poiesi

Source-free domain-adaptive object detection is an interesting but scarcely addressed topic. It aims at adapting a source-pretrained detector to a distinct target domain without re…

cs.CV2016

A Sparse Representation of Complete Local Binary Pattern Histogram for Human Face Recognition

Mawloud Guermoui, Mohamed L. Mekhalfi

Human face recognition has been a long standing problem in computer vision and pattern recognition. Facial analysis can be viewed as a two-fold problem, namely (i) facial represent…