53 documents
- Louis Béthune, Paul Novello, Thibaut Boissin, Guillaume Coiffier, Mathieu Serrurier, et al.. Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks. 40th International Conference on Machine Learning, Jul 2023, Honolulu, Hawaii, United States. pp.2245-2271, ⟨10.5555/3618408.3618504⟩. ⟨hal-03977272v2⟩
- Laurent Alonso. Uniform random generations and rejection method(I) with binomial majorant. 2023. ⟨hal-04031703⟩
- Yoann Coudert--Osmont, Elmar Eisemann, Ricardo Marroquim. Semi-Automatic Perspective Lines from Paintings. Eurographics Workshop on Graphics and Cultural Heritage, 2022, ⟨10.2312/gch.20221219⟩. ⟨hal-03920890⟩
- Gabriel Bathie, Gaétan Berthe, Yoann Coudert-Osmont, David Desobry, Amadeus Reinald, et al.. PACE solver description: DreyFVS. Leibniz International Proceedings in Informatics , 2022, ⟨10.4230/LIPIcs.IPEC.2022.31⟩. ⟨hal-03920659⟩
- Justine Basselin. Reconnaissance de bâtiments à partir de nuages de points 3D. Géométrie algorithmique [cs.CG]. Université de Lorraine, 2022. Français. ⟨NNT : 2022LORR0241⟩. ⟨tel-03943948v2⟩
- Vladimir Garanzha, Igor Kaporin, Liudmila Kudryavtseva, François Protais, David Desobry, et al.. Lowest distortion mappings and equidistribution principle. 2022. ⟨hal-03546749v2⟩
- François Protais. Maillage à dominante Polycube. Géométrie algorithmique [cs.CG]. Université de Lorraine, 2022. Français. ⟨NNT : 2022LORR0144⟩. ⟨tel-03775686⟩
- François Protais, Maxence Reberol, Nicolas Ray, Etienne Corman, Franck Ledoux, et al.. Robust Quantization for Polycube Maps. Computer-Aided Design, 2022, Volume 150 (103321), ⟨10.1016/j.cad.2022.103321⟩. ⟨hal-03076711⟩
- Corentin Dumery, François Protais, Sébastien Mestrallet, Christophe Bourcier, Franck Ledoux. Evocube: a Genetic Labeling Framework for Polycube-Maps. Computer Graphics Forum, In press, ⟨10.1111/cgf.14649⟩. ⟨hal-03657779v3⟩
- Nicolas Donati, Etienne Corman, Maks Ovsjanikov. Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching. CVPR 2022 - IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2022, New Orleans, LA, United States. ⟨10.48550/arXiv.2204.13453⟩. ⟨hal-03654308⟩
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