10 citations · 10 across the 16 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…
SSMB: Self-Supervised Local Feature Detection under Motion Blur
Zhenjun Zhao, Fabio Bellavia, Wenting Wang +6
Keypoint detection under motion blur remains a significant challenge, as blur distorts local image structure and degrades the repeatability of feature localization. Existing approa…
Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis
Maria Peribañez, Javier Civera, Rudolph Triebel +1
Visual localization becomes extremely challenging in planetary-like terrains characterized by low texture, perceptual aliasing, harsh illumination, and sparse, weakly overlapping v…
Non-Minimal Sampling and Consensus for Prohibitively Large Datasets
Seong Hun Lee, Patrick Vandewalle, Javier Civera
We introduce NONSAC (Non-Minimal Sampling and Consensus), a general framework for robust and scalable model estimation from arbitrarily large datasets contaminated with noise and o…
PAGaS: Pixel-Aligned 1DoF Gaussian Splatting for Depth Refinement
David Recasens, Robert Maier, Aljaz Bozic +4
Gaussian Splatting (GS) has emerged as an efficient approach for high-quality novel view synthesis. While early GS variants struggled to accurately model the scene's geometry, rece…