![]() | RUKHOVICH, D., DUPONT, E. M. E., MALLIS, D., CHERENKOVA, K., KACEM, A., & AOUADA, D. (2025). CAD-Recode: Reverse Engineering CAD Code from Point Clouds. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 9801--9811). Piscataway, United States - New Jersey: Institute of Electrical and Electronics Engineers (IEEE). Peer reviewed |
![]() | DUPONT, E. M. E. (2025). DESIGN INTENT AWARE CAD REVERSE ENGINEERING: DEEP NEURAL APPROACHES FOR RECOVERING FEATURE-BASED SEQUENCES FROM 3D SCANS [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/65389 |
![]() | CHERENKOVA, K., DUPONT, E. M. E., KACEM, A., Gleb Gusev, & AOUADA, D. (2024). SpelsNet: Surface Primitive Elements Segmentation by B-Rep Graph Structure Supervision [Paper presentation]. The Thirty-eighth Annual Conference on Neural Information Processing Systems. Peer reviewed |
![]() | DUPONT, E. M. E., CHERENKOVA, K., MALLIS, D., Gusev, G., KACEM, A., & AOUADA, D. (2024). TransCAD: A Hierarchical Transformer for CAD Sequence Inference from Point Clouds [Paper presentation]. ECCV'24. Peer reviewed |
![]() | Sadil Khan, M., DUPONT, E. M. E., Aziz Ali, S., CHERENKOVA, K., KACEM, A., & AOUADA, D. (2024). CAD-SIGNet: CAD Language Inference from Point Clouds using Layer-wise Sketch Instance Guided Attention. In CAD-SIGNet: CAD Language Inference from Point Clouds using Layer-wise Sketch Instance Guided Attention. IEEE. Peer reviewed |
![]() | MALLIS, D., ALI, S. A., DUPONT, E., Cherenkova, K., KARADENIZ, A. S., KHAN, M. S., KACEM, A., Gleb, G., & AOUADA, D. (2023). SHARP Challenge 2023: Solving CAD History and pArameters Recovery from Point clouds and 3D scans. Overview, Datasets, Metrics, and Baselines. International Conference on Computer Vision Workshops. doi:10.1109/ICCVW60793.2023.00194 Peer reviewed |
![]() | CHERENKOVA, K., DUPONT, E. M. E., KACEM, A., Arzhannikov, I., Gusev, G., & AOUADA, D. (2023). SepicNet: Sharp Edges Recovery by Parametric Inference of Curves in 3D Shapes. In Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023. IEEE Computer Society. doi:10.1109/CVPRW59228.2023.00273 Peer reviewed |
![]() | DUPONT, E., SINGH, I. P., Fuentes, L., ALI, S. A., KACEM, A., GHORBEL, E., & AOUADA, D. (2023). You Can Dance! Generating Music-Conditioned Dances on Real 3D Scans. Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2023, Volume 4: VISAPP. doi:10.5220/0011790900003417 Peer reviewed |
![]() | KARADENIZ, A. S., ALI, S. A., KACEM, A., DUPONT, E., & AOUADA, D. (2022). TSCom-Net: Coarse-to-Fine 3D Textured Shape Completion Network. In A. S. KARADENIZ, S. A. ALI, A. KACEM, E. DUPONT, ... D. AOUADA, TSCom-Net: Coarse-to-Fine 3D Textured Shape Completion Network. Peer reviewed |
![]() | DUPONT, E. M. E., CHERENKOVA, K., KACEM, A., ALI, S. A., Arzhannikov, I., Gusev, G., & AOUADA, D. (2022). CADOps-Net: Jointly Learning CAD Operation Types and Steps from Boundary-Representations. In Proceedings - 2022 International Conference on 3D Vision, 3DV 2022. Institute of Electrical and Electronics Engineers Inc. doi:10.1109/3DV57658.2022.00024 Peer reviewed |
![]() | DUPONT, E. (2021). Generating 3D Dances From Music Using Deep Neural Networks [Bachelor/master dissertation, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/50481 |
![]() | MEJRI, N., DUPONT, E., & Da Costa, G. (2020). Energy-aware scheduling of malleable HPC applications using a Particle Swarm optimised greedy algorithm. Sustainable Computing: Informatics and Systems. doi:10.1016/j.suscom.2020.100447 Peer reviewed |
![]() | DUPONT, E., FRANCK, C., & GROSZSCHÄDL, J. (2020). Fast and Flexible Elliptic Curve Cryptography for Dining Cryptographers Networks. In S. Bouzefrane, M. Laurent, S. Boumerdassi, ... R. Eric (Eds.), Mobile, Secure, and Programmable Networking, 6th International Conference, MSPN 2020, Paris, France, October 28–29, 2020, Revised Selected Papers (pp. 89-109). Springer Verlag. doi:10.1007/978-3-030-67550-9_7 Peer reviewed |