| 2024 | BMVC | A self-supervised cyclic neural-analytic approach for novel view synthesis and 3D reconstruction. | Dragos Costea, Alina Marcu, Marius Leordeanu |
| 2022 | ICRA | UFO Depth: Unsupervised learning with flow-based odometry optimization for metric depth estimation. | Vlad Licaret, Victor Robu, Alina Marcu, Dragos Costea, Emil Slusanschi, Rahul Sukthankar, Marius Leordeanu |
| 2021 | AAAI | Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus. | Marius Leordeanu, Mihai Cristian Prvu, Dragos Costea, Alina Elena Marcu, Emil Slusanschi, Rahul Sukthankar |
| 2021 | CVPR | Depth Distillation: Unsupervised Metric Depth Estimation for UAVs by Finding Consensus Between Kinematics, Optical Flow and Deep Learning. | Mihai Cristian Prvu, Victor Robu, Vlad Licaret, Dragos Costea, Alina Marcu, Emil Slusanschi, Rahul Sukthankar, Marius Leordeanu |
| 2020 | ACCV | Semantics Through Time: Semi-supervised Segmentation of Aerial Videos with Iterative Label Propagation. | Alina Marcu, Vlad Licaret, Dragos Costea, Marius Leordeanu |
| 2018 | CVPR | Roadmap Generation Using a Multi-Stage Ensemble of Deep Neural Networks With Smoothing-Based Optimization. | Dragos Costea, Alina Marcu, Emil Slusanschi, Marius Leordeanu |
| 2018 | ECCV | SafeUAV: Learning to Estimate Depth and Safe Landing Areas for UAVs from Synthetic Data. | Alina Marcu, Dragos Costea, Vlad Licaret, Mihai Cristian Prvu, Emil Slusanschi, Marius Leordeanu |
| 2016 | BMVC | Aerial image geolocalization from recognition and matching of roads and intersections. | Dragos Costea, Marius Leordeanu |