| Deepzzle: Solving visual jigsaw puzzles with deep learning and shortest path optimization MM Paumard, D Picard, H Tabia IEEE Transactions on Image Processing 29, 3569-3581, 2020 | 50 | 2020 |
| Image reassembly combining deep learning and shortest path problem MM Paumard, D Picard, H Tabia Proceedings of the European conference on computer vision (ECCV), 153-167, 2018 | 34 | 2018 |
| Jigsaw puzzle solving using local feature co-occurrences in deep neural networks MM Paumard, D Picard, H Tabia 2018 25th IEEE international conference on image processing (ICIP), 1018-1022, 2018 | 29 | 2018 |
| Semantic-based automated reassembly of heritage fragments MM Paumard CeROArt. Conservation, exposition, Restauration d’Objets d’Art, 2020 | 2 | 2020 |
| Solving jigsaw puzzles with deep learning for heritage MM Paumard CY Cergy Paris Université, 2020 | 2 | 2020 |
| Alphazzle: Jigsaw Puzzle Solver with Deep Monte-Carlo Tree Search MM Paumard, H Tabia, D Picard arXiv preprint arXiv:2302.00384, 2023 | | 2023 |
| Remontage sémantique de fragments grâce à l’intelligence artificielle MM Paumard Technè. La science au service de l’histoire de l’art et de la préservation …, 2020 | | 2020 |
| Résolution automatique de puzzles par apprentissage profond MM Paumard CY Cergy Paris Université, 2020 | | 2020 |
| Remontage sémantique de fragments gr'ce à l’intelligence artificielleSemantic reassembly of fragments with the help of artificial intelligence MM Paumard | | 2020 |
| L'apprentissage profond pour le réassemblage d'images patrimoniales MM Paumard, D Picard, H Tabia GRETSI 2019, 2019 | | 2019 |
Hedi TabiaProfessor of Computer Science, Université d'Evry Val d'Essonne, Université Paris SaclayEmail verificata su univ-evry.fr
