133 citations · 533 across the 40 of their papers we have counts for
15 papers · 1 filter
The Tile: A 2D Map of Ranking Scores for Two-Class Classification
Sébastien Piérard, Anaïs Halin, Anthony Cioppa +2
In the computer vision and machine learning communities, as well as in many other research domains, rigorous evaluation of any new method, including classifiers, is essential. One…
A Hitchhiker's Guide to Understanding Performances of Two-Class Classifiers
Anaïs Halin, Sébastien Piérard, Anthony Cioppa +1
Properly understanding the performances of classifiers is essential in various scenarios. However, the literature often relies only on one or two standard scores to compare classif…
Foundations of the Theory of Performance-Based Ranking
Sébastien Piérard, Anaïs Halin, Anthony Cioppa +2
Ranking entities such as algorithms, devices, methods, or models based on their performances, while accounting for application-specific preferences, is a challenge. To address this…
Physically Interpretable Probabilistic Domain Characterization
Anaïs Halin, Sébastien Piérard, Renaud Vandeghen +10
Characterizing domains is essential for models analyzing dynamic environments, as it allows them to adapt to evolving conditions or to hand the task over to backup systems when fac…
3D Convex Splatting: Radiance Field Rendering with 3D Smooth Convexes
Jan Held, Renaud Vandeghen, Abdullah Hamdi +6
Recent advances in radiance field reconstruction, such as 3D Gaussian Splatting (3DGS), have achieved high-quality novel view synthesis and fast rendering by representing scenes wi…
Deep learning for action spotting in association football videos
Silvio Giancola, Anthony Cioppa, Bernard Ghanem +1
The task of action spotting consists in both identifying actions and precisely localizing them in time with a single timestamp in long, untrimmed video streams. Automatically extra…