39 citations · 88 across the 10 of their papers we have counts for
21 papers · 1 filter
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…
Motion-Bias-Free Feature-Based SLAM
Alejandro Fontan, Javier Civera, Michael Milford
For SLAM to be safely deployed in unstructured real world environments, it must possess several key properties that are not encompassed by conventional benchmarks. In this paper we…
Robust Single Rotation Averaging Revisited
Seong Hun Lee, Javier Civera
In this work, we propose a novel method for robust single rotation averaging that can efficiently handle an extremely large fraction of outliers. Our approach is to minimize the to…
Danish Airs and Grounds: A Dataset for Aerial-to-Street-Level Place Recognition and Localization
Andrea Vallone, Frederik Warburg, Hans Hansen +2
Place recognition and visual localization are particularly challenging in wide baseline configurations. In this paper, we contribute with the \emph{Danish Airs and Grounds} (DAG) d…
A Model for Multi-View Residual Covariances based on Perspective Deformation
Alejandro Fontan, Laura Oliva, Javier Civera +1
In this work, we derive a model for the covariance of the visual residuals in multi-view SfM, odometry and SLAM setups. The core of our approach is the formulation of the residual…
Endo-Depth-and-Motion: Reconstruction and Tracking in Endoscopic Videos using Depth Networks and Photometric Constraints
David Recasens, José Lamarca, José M. Fácil +2
Estimating a scene reconstruction and the camera motion from in-body videos is challenging due to several factors, e.g. the deformation of in-body cavities or the lack of texture.…