592 citations · 4.5k across the 68 of their papers we have counts for
8 papers · 1 filter
Hyper-Spectral Image Analysis with Partially-Latent Regression and Spatial Markov Dependencies
Antoine Deleforge, Florence Forbes, Sileye Ba +1
Hyper-spectral data can be analyzed to recover physical properties at large planetary scales. This involves resolving inverse problems which can be addressed within machine learnin…
Co-Localization of Audio Sources in Images Using Binaural Features and Locally-Linear Regression
Antoine Deleforge, Radu Horaud, Yoav Schechner +1
This paper addresses the problem of localizing audio sources using binaural measurements. We propose a supervised formulation that simultaneously localizes multiple sources at diff…
Continuous Action Recognition Based on Sequence Alignment
Kaustubh Kulkarni, Georgios Evangelidis, Jan Cech +1
Continuous action recognition is more challenging than isolated recognition because classification and segmentation must be simultaneously carried out. We build on the well known d…
Robust Temporally Coherent Laplacian Protrusion Segmentation of 3D Articulated Bodies
Fabio Cuzzolin, Diana Mateus, Radu Horaud
In motion analysis and understanding it is important to be able to fit a suitable model or structure to the temporal series of observed data, in order to describe motion patterns i…
Acoustic Space Learning for Sound Source Separation and Localization on Binaural Manifolds
Antoine Deleforge, Florence Forbes, Radu Horaud
In this paper we address the problems of modeling the acoustic space generated by a full-spectrum sound source and of using the learned model for the localization and separation of…
Sound Representation and Classification Benchmark for Domestic Robots
Maxime Janvier, Xavier Alameda-Pineda, Laurent Girin +1
We address the problem of sound representation and classification and present results of a comparative study in the context of a domestic robotic scenario. A dataset of sounds was…