no code implementations • 8 Apr 2024 • Jihanne El Haouari, Jean-Michel Gaucel, Christelle Pittet, Jean-Yves Tourneret, Herwig Wendt
Accurate estimates of Instrument Spectral Response Functions (ISRFs) are crucial in order to have a good characterization of high resolution spectrometers.
1 code implementation • EMNLP 2021 • Mariella Dimiccoli, Herwig Wendt, Pau Batlle
This paper introduces a novel approach to learn visually grounded meaning representations of words as low-dimensional node embeddings on an underlying graph hierarchy.
1 code implementation • ICCV 2021 • Mariella Dimiccoli, Lluís Garrido, Guillem Rodriguez-Corominas, Herwig Wendt
Recently, transfer subspace learning based approaches have shown to be a valid alternative to unsupervised subspace clustering and temporal data clustering for human motion segmentation (HMS).
no code implementations • 8 Oct 2019 • Mariella Dimiccoli, Herwig Wendt
The main advantage of DGE over state-of-the-art self-supervised approaches is that it does not require any training set, but instead learns iteratively from the data itself a low-dimensional embedding that reflects their temporal and semantic similarity.
1 code implementation • 14 Jun 2019 • Mariella Dimiccoli, Herwig Wendt
Temporal segmentation of untrimmed videos and photo-streams is currently an active area of research in computer vision and image processing.
1 code implementation • 6 Nov 2018 • Pierre Ablin, Dylan Fagot, Herwig Wendt, Alexandre Gramfort, Cédric Févotte
Nonnegative matrix factorization (NMF) is a popular method for audio spectral unmixing.
no code implementations • 11 May 2017 • Dylan Fagot, Cédric Févotte, Herwig Wendt
Traditional NMF-based signal decomposition relies on the factorization of spectral data, which is typically computed by means of short-time frequency transform.
no code implementations • 27 Aug 2016 • Jordan Frecon, Nelly Pustelnik, Nicolas Dobigeon, Herwig Wendt, Patrice Abry
Piecewise constant denoising can be solved either by deterministic optimization approaches, based on the Potts model, or by stochastic Bayesian procedures.
no code implementations • 22 Apr 2015 • Nelly Pustelnik, Herwig Wendt, Patrice Abry, Nicolas Dobigeon
Texture segmentation constitutes a standard image processing task, crucial to many applications.
no code implementations • 17 Oct 2014 • Sébastien Combrexelle, Herwig Wendt, Nicolas Dobigeon, Jean-Yves Tourneret, Steve McLaughlin, Patrice Abry
Multifractal analysis is a useful signal and image processing tool, yet, the accurate estimation of multifractal parameters for image texture remains a challenge.