Contact based hierarchical segmentation for granular materials

Olumide Okubadejo, Edward Andò, Laurent Bonnaud, Gioacchino Viggiani, Mauro Dalla Mura. Contact based hierarchical segmentation for granular materials. ISMM, Jul 2019, Saarbrücken, Germany. 〈hal-02097130〉

Une approche convexe de la super-résolution et de la régularisation de lignes 2D dans les images

Kévin Polisano, Laurent Condat, Marianne Clausel, Valérie Perrier. Une approche convexe de la super-résolution et de la régularisation de lignes 2D dans les images. Soumission à la conférence nationale GRETSI 2019 qui aura lieu en août 2019. 2019. 〈hal-02068063〉

A Coarse and Relevant 3D Representation for Fast and Lightweight RGB-D Mapping

Bruce Canovas, Michèle Rombaut, Amaury Nègre, Serge Olympieff, Denis Pellerin. A Coarse and Relevant 3D Representation for Fast and Lightweight RGB-D Mapping. VISAPP 2019 - International Conference on Computer Vision Theory and Applications, Feb 2019, Prague, Czech Republic. International Conference on Computer Vision Theory and Applications - VISAPP 2018. 〈hal-02068740〉

Efficient Distance Transformation for Path-based Metrics

David Coeurjolly, Isabelle Sivignon. Efficient Distance Transformation for Path-based Metrics. 2019. 〈hal-02000339〉

Linear classification of chairlift images for presence analysis

Julien Muzeau, Patricia Ladret, Pascal Bertolino. Linear classification of chairlift images for presence analysis. Conférence Quality Control by Artificial Vision (QCAV) 2019, Mulhouse, France, 15-17 Mai. 2019. 〈hal-01980423〉

A convex approach to superresolution and regularization of lines in images

Kévin Polisano, Laurent Condat, Marianne Clausel, Valérie Perrier. A convex approach to superresolution and regularization of lines in images. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2019, 12 (1), pp.211-258. ⟨10.1137/18M118116X⟩. ⟨hal-01599010v4⟩

Coupled Ensembles of Neural Networks

Anuvabh Dutt, Georges Quénot, Denis Pellerin. Coupled Ensembles of Neural Networks. Neurocomputing, Elsevier, In press. ⟨hal-02088253⟩

Riesz-based orientation of localizable Gaussian fields

Kévin Polisano, Marianne Clausel, Valérie Perrier, Laurent Condat. Riesz-based orientation of localizable Gaussian fields. 2018. 〈hal-01570978v2〉

1D piecewise smooth function estimation with spline functions

Daichi Kitahara, Laurent Condat, Akira Hirabayashi. 1D piecewise smooth function estimation with spline functions. IEICE Signal Processing Symposium (SIP), Nov 2018, Tokyo, Japan. 〈hal-01964396〉

Distributed Projection on the Simplex and l1 Ball via ADMM and Gossip

Franck Iutzeler, Laurent Condat. Distributed Projection on the Simplex and l1 Ball via ADMM and Gossip. IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2018, 25 (11), pp.1650-1654. ⟨10.1109/LSP.2018.2870951⟩. ⟨hal-01876986⟩