24 citations · 33 across the 4 of their papers we have counts for
6 papers
A clustering approach to heterogeneous change detection
Luigi Tommaso Luppino, Stian Normann Anfinsen, Gabriele Moser +4
Change detection in heterogeneous multitemporal satellite images is a challenging and still not much studied topic in remote sensing and earth observation. This paper focuses on co…
Texture and Color-based Image Retrieval Using the Local Extrema Features and Riemannian Distance
Minh-Tan Pham, Grégoire Mercier, Lionel Bombrun +1
A novel efficient method for content-based image retrieval (CBIR) is developed in this paper using both texture and color features. Our motivation is to represent and characterize…
Generalizing the Convolution Operator to extend CNNs to Irregular Domains
Jean-Charles Vialatte, Vincent Gripon, Grégoire Mercier
Convolutional Neural Networks (CNNs) have become the state-of-the-art in supervised learning vision tasks. Their convolutional filters are of paramount importance for they allow to…
Characterization and Inference of Graph Diffusion Processes from Observations of Stationary Signals
Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier +2
Many tools from the field of graph signal processing exploit knowledge of the underlying graph's structure (e.g., as encoded in the Laplacian matrix) to process signals on the grap…
Graph reconstruction from the observation of diffused signals
Bastien Pasdeloup, Michael Rabbat, Vincent Gripon +2
Signal processing on graphs has received a lot of attention in the recent years. A lot of techniques have arised, inspired by classical signal processing ones, to allow studying si…
Towards a characterization of the uncertainty curve for graphs
Bastien Pasdeloup, Vincent Gripon, Grégoire Mercier +1
Signal processing on graphs is a recent research domain that aims at generalizing classical tools in signal processing, in order to analyze signals evolving on complex domains. Suc…