Monocular Depth Estimation

Self-supervised depth from single images.

Projects

Completed

Self-Supervised Monocular Depth Estimation

Learning to predict depth from single images without ground-truth supervision, with a focus on dynamic scenes and challenging conditions.

Computer VisionMachine LearningMonocular Depth Estimation

Publications

• BaseBoostDepth: Exploiting Larger Baselines For Self-supervised Monocular Depth EstimationKieran Saunders, Luis J. Manso and George VogiatzisarXiv (Cornell University) · 2024
• Self-supervised Monocular Depth Estimation: Let’s Talk About The WeatherKieran Saunders, George Vogiatzis and Luis J. MansoarXiv (Cornell University) · 2023
• Dyna-DM: Dynamic Object-aware Self-supervised Monocular Depth MapsKieran Saunders, George Vogiatzis and Luis J. Manso2023
• Dyna-DM: Dynamic Object-aware Self-supervised Monocular Depth MapsKieran Saunders, George Vogiatzis and Luis J. MansoarXiv (Cornell University) · 2022