339 citations · 830 across the 27 of their papers we have counts for
7 papers · 1 filter
Fairness in generative modeling
Mariia Zameshina, Olivier Teytaud, Fabien Teytaud +4
We design general-purpose algorithms for addressing fairness issues and mode collapse in generative modeling. More precisely, to design fair algorithms for as many sensitive variab…
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank
Quentin Garrido, Randall Balestriero, Laurent Najman +1
Joint-Embedding Self Supervised Learning (JE-SSL) has seen a rapid development, with the emergence of many method variations but only few principled guidelines that would help prac…
A Proof of the Tree of Shapes in n-D
Thierry GÉraud, Nicolas Boutry, Sébastien Crozet +2
In this paper, we prove that the self-dual morphological hierarchical structure computed on a n-D gray-level wellcomposed image u by the algorithm of G{é}raud et al. [1] is exactly…
On the duality between contrastive and non-contrastive self-supervised learning
Quentin Garrido, Yubei Chen, Adrien Bardes +2
Recent approaches in self-supervised learning of image representations can be categorized into different families of methods and, in particular, can be divided into contrastive and…
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…
Assessing hierarchies by their consistent segmentations
Zeev Gutman, Ritvik Vij, Laurent Najman +1
Current approaches to generic segmentation start by creating a hierarchy of nested image partitions and then specifying a segmentation from it. Our first contribution is to describ…