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  Yvain Quéau, Marjorie Redon, Matthieu Pizenberg, Abderrahim Elmoataz. AI-based Generation of a Multi-Modal Panorama for the Bayeux Tapestry. Advances in Applied Mathematics and Learning Approaches for Cultural Heritage and the Arts, Apr 2024, Cagliari (Sardaigne), Italy. ⟨hal-04567887⟩
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  Robin Bruneau, Baptiste Brument, Lilian Calvet, Matthew Cassidy, Jean Mélou, et al.. Multi-view stereo of an object immersed in a refractive medium. Journal of Electronic Imaging, 2024, 33 (03), ⟨10.1117/1.JEI.33.3.033005⟩. ⟨hal-04567615⟩
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  Gaël Dias, Dominique Longin, Grégory Bonnet. IA & technologies du langage humain. Bulletin de l'Association Française pour l'Intelligence Artificielle, 107, 2020, Association Française d'Intelligence Artificielle. ⟨hal-04567141⟩
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  Jean Mélou, Yvain Quéau, Antoine Laurent, Marjorie Redon, Jean-Denis Durou, et al.. Thin Details Meet Large-Scale 3D-Reconstruction: Photometric Stereo for Cultural Heritage. 1st international conference on artificIAl Intelligence and applied MAthematics for History and Archaeology (IAMAHA 2023), CEPAM; INRIA Côte d'Azur; I3S, Nov 2023, Nice, France. pp.Session 3 : AI-AM FOR MATERIALS OF THE PAST. ⟨hal-04559503⟩
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  Baptiste Brument, Robin Bruneau, Yvain Quéau, Jean Mélou, François Lauze, et al.. RNb-NeuS: Reflectance and Normal-based Multi-View 3D Reconstruction. IEEE / CVF International Conference on Computer Vision and Pattern Recognition (CVPR 2024), IEEE, Jun 2024, Seattle, United States. à paraître. ⟨hal-04526751v2⟩
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  Ivan Igor Gaez, Elpidio Attoh-Mensah, Clément Nathou, Lydie Vincent, Marc Joliot, et al.. Drowsiness increases slow oscillations in rs-fMRI signal before sleep onset. OHBM 2024 - the 2024 OHBM Annual Meeting, Organization for Human Brain Mapping, Jun 2024, Seoul, South Korea. ⟨hal-04521091⟩
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  Hedy Attouch, Jalal M. Fadili, Vyacheslav Kungurtsev. The stochastic Ravine accelerated gradient method with general extrapolation coefficients. 2024. ⟨hal-04506457v3⟩
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  Nathan Buskulic, Jalal M. Fadili, Yvain Quéau. Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems. 2024. ⟨hal-04059168v3⟩
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  Shida Wang, Jalal M. Fadili, Peter Ochs. Inertial Quasi-Newton Methods for Monotone Inclusions: Efficient Resolvent Calculus and Primal-Dual Algorithms. 2024. ⟨hal-04506477⟩
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  Nathan Buskulic, Jalal M. Fadili, Yvain Quéau. Garanties de convergence pour la résolution de problèmes inverses linéaires par réseaux de neurones génératifs. Colloque GRETSI, 2023, Nancy, France. ⟨hal-04502368⟩
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  Nathan Buskulic, Jalal Fadili, Yvain Quéau. Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems trained with Gradient Descent. 2024. ⟨hal-04496435⟩
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  Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault. Similarity contrastive estimation for image and video soft contrastive self-supervised learning. Machine Vision and Applications, 2023, 34 (6), pp.111. ⟨10.1007/s00138-023-01444-9⟩. ⟨hal-04465089⟩
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  Anna Aniszewska-Stȩpień, Romain Hérault, Guillaume Hacques, Ludovic Seifert, Gilles Gasso. Evaluating transfer prediction using machine learning for skill acquisition study under various practice conditions. Frontiers in Psychology, 2023, 13, pp.961435. ⟨10.3389/fpsyg.2022.961435⟩. ⟨hal-04462270⟩
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  Anthony Cioppa, Silvio Giancola, Vladimir Somers, Floriane Magera, Xin Zhou, et al.. SoccerNet 2023 challenges results. 2023, ⟨10.48550/arXiv.2309.06006⟩. ⟨hal-04462235⟩
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  Julien Denize, Mykola Liashuha, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault. COMEDIAN: Self-supervised learning and knowledge distillation for action spotting using transformers. WACV 2024 - IEEE/CVF Winter Conference on Applications of Computer Vision, Jan 2024, Waikoloa, United States. ⟨10.48550/arXiv.2309.01270⟩. ⟨hal-04462159⟩
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  Tsiry Mayet, Simon Bernard, Clement Chatelain, Romain Hérault. Domain Translation via Latent Space Mapping. 2023 International Joint Conference on Neural Networks (IJCNN), Jun 2023, Gold Coast, Australia. pp.1-10, ⟨10.1109/IJCNN54540.2023.10191215⟩. ⟨hal-04461418⟩
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  Lucas Deregnaucourt, Alexis Lerchervy, Hind Laghmara, Samia Ainouz. An Evidential Deep Network Based on Dempster-Shafer Theory for Large Dataset. Florentin Smarandache; Jean Dezert; Albena Tchamova. Advances and Applications of DSmT for Information Fusion: Collected Works(Volume 5), pp.907-914, 2023. ⟨hal-04448387⟩
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  Clément Hardy, Yvain Quéau, David Tschumperlé. Uni MS-PS: a Multi-Scale Encoder Decoder Transformer for Universal Photometric Stereo. 2024. ⟨hal-04431103v2⟩
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  Benjamin Samuth, Julien Rabin, David Tschumperlé, Frédéric Jurie. LATENTPATCH: A Non-Parametric Approach for Face Generation and Editing. 2023 IEEE International Conference on Image Processing (ICIP), Oct 2023, Kuala Lumpur, Malaysia. pp.1790-1794, ⟨10.1109/ICIP49359.2023.10222005⟩. ⟨hal-04411751⟩
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  Benjamin Samuth, Julien Rabin, David Tschumperlé, Frédéric Jurie. LATENTPATCH : Une approche non-paramétrique pour la génération et l'édition de visages. GRETSI 2023 XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France. pp.ID1198. ⟨hal-04411653⟩

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