23 citations · 44 across the 28 of their papers we have counts for
5 papers · 1 filter
SUFLECA: Scaling Up Feature Learning for CAD-to-image Alignment
Saad Ejaz, Miguel Fernandez-Cortizas, Javier Civera +2
CAD-to-image alignment aims to estimate an object's 9D pose (rotation, translation, and anisotropic scale) from a single RGB image, with applications in robotics and augmented real…
COMPASS: COmpact Multi-channel Prior-map And Scene Signature for Floor-Plan-Based Visual Localization
Muhammad Shaheer, Miguel Fernandez-Cortizas, Asier Bikandi-Noya +2
Architectural floor plans are widely available priors which contain not only geometry but also the semantic information of the environment, yet existing localization methods largel…
Hardware, Algorithms, and Applications of the Neuromorphic Vision Sensor: a Review
Claudio Cimarelli, Jose Andres Millan-Romera, Holger Voos +1
Neuromorphic, or event, cameras represent a transformation in the classical approach to visual sensing encodes detected instantaneous per-pixel illumination changes into an asynchr…
Category-level Meta-learned NeRF Priors for Efficient Object Mapping
Saad Ejaz, Hriday Bavle, Laura Ribeiro +2
In 3D object mapping, category-level priors enable efficient object reconstruction and canonical pose estimation, requiring only a single prior per semantic category (e.g., chair,…
Towards Localizing Structural Elements: Merging Geometrical Detection with Semantic Verification in RGB-D Data
Ali Tourani, Saad Ejaz, Hriday Bavle +2
RGB-D cameras supply rich and dense visual and spatial information for various robotics tasks such as scene understanding, map reconstruction, and localization. Integrating depth a…