339 citations · 830 across the 27 of their papers we have counts for
16 papers · 1 filter
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…
Self-supervised learning of Split Invariant Equivariant representations
Quentin Garrido, Laurent Najman, Yann Lecun
Recent progress has been made towards learning invariant or equivariant representations with self-supervised learning. While invariant methods are evaluated on large scale datasets…
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…
Triplet-Watershed for Hyperspectral Image Classification
Aditya Challa, Sravan Danda, B. S. Daya Sagar +1
Hyperspectral images (HSI) consist of rich spatial and spectral information, which can potentially be used for several applications. However, noise, band correlations and high dime…
Rethinking Interactive Image Segmentation: Feature Space Annotation
Jord{ã}o Bragantini, Alexandre X Falc{ã}o, Laurent Najman
Despite the progress of interactive image segmentation methods, high-quality pixel-level annotation is still time-consuming and laborious - a bottleneck for several deep learning a…