4 citations · 5 across the 3 of their papers we have counts for
3 papers
From Unity Simulation to Diffusion-Based Augmentation: Quantifying Dataset Balance for Robust Object Detection
Mohamed Benkedadra, Aissa Saoudi, Maxime Gloesener +2
Modern computer vision models achieve high accuracy when trained on large-scale annotated datasets. In critical domains such as construction safety monitoring, data collection is c…
Feedback Driven Multi Stereo Vision System for Real-Time Event Analysis
Mohamed Benkedadra, Matei Mancas, Sidi Ahmed Mahmoudi
2D cameras are often used in interactive systems. Other systems like gaming consoles provide more powerful 3D cameras for short range depth sensing. Overall, these cameras are not…
CIA: Controllable Image Augmentation Framework Based on Stable Diffusion
Mohamed Benkedadra, Dany Rimez, Tiffanie Godelaine +6
Computer vision tasks such as object detection and segmentation rely on the availability of extensive, accurately annotated datasets. In this work, We present CIA, a modular pipeli…