10 citations · 18 across the 3 of their papers we have counts for
3 papers
Scaling Laws for Geospatial Foundation Models: A case study on PhilEO Bench
Nikolaos Dionelis, Riccardo Musto, Jente Bosmans +7
Foundation Models (FMs) have achieved state-of-the-art performance across domains by leveraging large-scale pretraining. In Earth Observation (EO), the availability of petabyte-sca…
Unsupervised Human Action Recognition with Skeletal Graph Laplacian and Self-Supervised Viewpoints Invariance
Giancarlo Paoletti, Jacopo Cavazza, Cigdem Beyan +1
This paper presents a novel end-to-end method for the problem of skeleton-based unsupervised human action recognition. We propose a new architecture with a convolutional autoencode…
Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning
Giancarlo Paoletti, Jacopo Cavazza, Cigdem Beyan +1
This paper tackles the problem of human action recognition, defined as classifying which action is displayed in a trimmed sequence, from skeletal data. Albeit state-of-the-art appr…