68 citations · 69 across the 7 of their papers we have counts for
7 papers · 1 filter
Improving segmentation of retinal arteries and veins using cardiac signal in doppler holograms
Marius Dubosc, Yann Fischer, Zacharie Auray +4
Doppler holography is an emerging retinal imaging technique that captures the dynamic behavior of blood flow with high temporal resolution, enabling quantitative assessment of reti…
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…
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…
Transforming gradient-based techniques into interpretable methods
Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman
The explication of Convolutional Neural Networks (CNN) through xAI techniques often poses challenges in interpretation. The inherent complexity of input features, notably pixels ex…
Unsupervised discovery of Interpretable Visual Concepts
Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman
Providing interpretability of deep-learning models to non-experts, while fundamental for a responsible real-world usage, is challenging. Attribution maps from xAI techniques, such…
Some equivalence relation between persistent homology and morphological dynamics
Nicolas Boutry, Laurent Najman, Thierry Géraud
In Mathematical Morphology (MM), connected filters based on dynamics are used to filter the extrema of an image. Similarly, persistence is a concept coming from Persistent Homology…