1 citations · 2 across the 7 of their papers we have counts for
5 papers · 1 filter
Rotation Averaging: A Primal-Dual Method and Closed-Forms in Cycle Graphs
Gabriel Moreira, Manuel Marques, João Paulo Costeira
A cornerstone of geometric reconstruction, rotation averaging seeks the set of absolute rotations that optimally explains a set of measured relative orientations between them. In a…
Learning Visual-Semantic Subspace Representations
Gabriel Moreira, Manuel Marques, João Paulo Costeira +1
Learning image representations that capture rich semantic relationships remains a significant challenge. Existing approaches are either contrastive, lacking robust theoretical guar…
VICAN: Very Efficient Calibration Algorithm for Large Camera Networks
Gabriel Moreira, Manuel Marques, João Paulo Costeira +1
The precise estimation of camera poses within large camera networks is a foundational problem in computer vision and robotics, with broad applications spanning autonomous navigatio…
Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coin
Gabriel Moreira, Manuel Marques, João Paulo Costeira +1
Recent research in representation learning has shown that hierarchical data lends itself to low-dimensional and highly informative representations in hyperbolic space. However, eve…
Rotation Averaging in a Split Second: A Primal-Dual Method and a Closed-Form for Cycle Graphs
Gabriel Moreira, Manuel Marques, João Paulo Costeira
A cornerstone of geometric reconstruction, rotation averaging seeks the set of absolute rotations that optimally explains a set of measured relative orientations between them. In s…