July 01, 2017 conference-paper Geometric Loss Functions for Camera Pose Regression with Deep Learning IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings DOI: 10.1109/cvpr.2017.694 OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 817 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access D3dlo: Deep 3d Lidar Odometry 2021 Proceedings - International Conference on Image Processing conference-paper Engineering Robotics and Sensor-Based Localization Open access 6 citations Geomstats: A Python Package for Riemannian Geometry in Machine Learning 2020 arXiv (Cornell University) software-paper Computer Science Topological and Geometric Data Analysis Open access 95 citations 2 results References 0