4 citations · 7 across the 8 of their papers we have counts for
7 papers · 1 filter
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…
Found in Translation: semantic approaches for enhancing AI interpretability in face verification
Miriam Doh, Caroline Mazini Rodrigues, N. Boutry +3
The increasing complexity of machine learning models in computer vision, particularly in face verification, requires the development of explainable artificial intelligence (XAI) to…
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…
Bridging Human Concepts and Computer Vision for Explainable Face Verification
Miriam Doh, Caroline Mazini Rodrigues, Nicolas Boutry +3
With Artificial Intelligence (AI) influencing the decision-making process of sensitive applications such as Face Verification, it is fundamental to ensure the transparency, fairnes…
People Tracking and Re-Identifying in Distributed Contexts: Extension Study of PoseTReID
Ratha Siv, Matei Mancas, Bernard Gosselin +2
In our previous paper, we introduced PoseTReID which is a generic framework for real-time 2D multi-person tracking in distributed interaction spaces where long-term people's identi…
Improve Convolutional Neural Network Pruning by Maximizing Filter Variety
Nathan Hubens, Matei Mancas, Bernard Gosselin +2
Neural network pruning is a widely used strategy for reducing model storage and computing requirements. It allows to lower the complexity of the network by introducing sparsity in…