Slusanschi, Emil

6 publications

ICCVW 2023 Self-Supervised Hypergraphs for Learning Multiple World Interpretations Alina Marcu, Mihai Cristian Pîrvu, Dragos Costea, Emanuela Haller, Emil Slusanschi, Nabil Belbachir, Rahul Sukthankar, Marius Leordeanu

CVPRW 2021 Depth Distillation: Unsupervised Metric Depth Estimation for UAVs by Finding Consensus Between Kinematics, Optical Flow and Deep Learning Mihai Cristian Pîrvu, Victor Robu, Vlad Licaret, Dragos Costea, Alina Marcu, Emil Slusanschi, Rahul Sukthankar, Marius Leordeanu

AAAI 2021 Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus Marius Leordeanu, Mihai Cristian Pîrvu, Dragos Costea, Alina Elena Marcu, Emil Slusanschi, Rahul Sukthankar

CVPRW 2018 Roadmap Generation Using a Multi-Stage Ensemble of Deep Neural Networks with Smoothing-Based Optimization Dragos Costea, Alina Marcu, Emil Slusanschi, Marius Leordeanu

ECCVW 2018 SafeUAV: Learning to Estimate Depth and Safe Landing Areas for UAVs from Synthetic Data Alina Marcu, Dragos Costea, Vlad Licaret, Mihai Cristian Pîrvu, Emil Slusanschi, Marius Leordeanu

ICCVW 2017 Creating Roadmaps in Aerial Images with Generative Adversarial Networks and Smoothing-Based Optimization Dragos Costea, Alina Marcu, Marius Leordeanu, Emil Slusanschi