18 citations · 18 across the 3 of their papers we have counts for
4 papers · 1 filter
3D Densification for Multi-Map Monocular VSLAM in Endoscopy
X. Anadón, Javier Rodríguez-Puigvert, J. M. M. Montiel
Multi-map Sparse Monocular visual Simultaneous Localization and Mapping applied to monocular endoscopic sequences has proven efficient to robustly recover tracking after the freque…
LightDepth: Single-View Depth Self-Supervision from Illumination Decline
Javier Rodríguez-Puigvert, Víctor M. Batlle, J. M. M. Montiel +4
Single-view depth estimation can be remarkably effective if there is enough ground-truth depth data for supervised training. However, there are scenarios, especially in medicine in…
On the Uncertain Single-View Depths in Colonoscopies
Javier Rodríguez-Puigvert, David Recasens, Javier Civera +1
Estimating depth information from endoscopic images is a prerequisite for a wide set of AI-assisted technologies, such as accurate localization and measurement of tumors, or identi…
Bayesian Deep Neural Networks for Supervised Learning of Single-View Depth
Javier Rodríguez-Puigvert, Rubén Martínez-Cantín, Javier Civera
Uncertainty quantification is essential for robotic perception, as overconfident or point estimators can lead to collisions and damages to the environment and the robot. In this pa…