![]() ![]() | KARADENIZ, A. S., MALLIS, D., MEJRI, N., CHERENKOVA, K., KACEM, A., & AOUADA, D. (04 December 2024). PICASSO: A Feed-Forward Framework for Parametric Inference of CAD Sketches via Rendering Self-Supervision [Paper presentation]. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). ![]() |
![]() ![]() | KARADENIZ, A. S., MALLIS, D., MEJRI, N., CHERENKOVA, K., KACEM, A., & AOUADA, D. (30 October 2024). DAVINCI: A Single-Stage Architecture for Constrained CAD Sketch Inference [Paper presentation]. British Machine Vision Conference 2024, Glasgow, United Kingdom. ![]() |
![]() ![]() | ANASTASAKIS, Z., MALLIS, D., DIOMATARIS, M., ALEXANDRIDIS, G., KOLLIAS, S., & PITSIKALIS, V. (2024). Self-Supervised Learning for Visual Relationship Detection through Masked Bounding Box Reconstruction. 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Proceedings. doi:10.1109/WACV57701.2024.00124 ![]() |
![]() ![]() | 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. ![]() |
![]() ![]() | 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 ![]() |