11 citations · 16 across the 4 of their papers we have counts for
4 papers
Small Object Detection in Industrial Recycling: A New Dataset and YOLO Performance Evaluation
Oussama Messai, Abbass Zein-Eddine, Abdelouahid Bentamou +4
In this paper, we address the problem of detecting small, dense, and overlapping objects, a major challenge in computer vision. Our focus is on reviewing proposed methods based on…
Image Quality Enhancement and Detection of Small and Dense Objects in Industrial Recycling Processes
Oussama Messai, Abbass Zein-Eddine, Abdelouahid Bentamou +4
This paper tackles two key challenges: detecting small, dense, and overlapping objects (a major hurdle in computer vision) and improving the quality of noisy images, especially tho…
Activating Frequency and ViT for 3D Point Cloud Quality Assessment without Reference
Oussama Messai, Abdelouahid Bentamou, Abbass Zein-Eddine +1
Deep learning-based quality assessments have significantly enhanced perceptual multimedia quality assessment, however it is still in the early stages for 3D visual data such as 3D…
End-to-end deep multi-score model for No-reference stereoscopic image quality assessment
Oussama Messai, Aladine Chetouani
Deep learning-based quality metrics have recently given significant improvement in Image Quality Assessment (IQA). In the field of stereoscopic vision, information is evenly distri…