19 citations · 43 across the 19 of their papers we have counts for
6 papers · 1 filter
Which cycling environment appears safer? Learning cycling safety perceptions from pairwise image comparisons
Miguel Costa, Manuel Marques, Carlos Lima Azevedo +2
Cycling is critical for cities to transition to more sustainable transport modes. Yet, safety concerns remain a critical deterrent for individuals to cycle. If individuals perceive…
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…
3D Human Pose Estimation with Occlusions: Introducing BlendMimic3D Dataset and GCN Refinement
Filipa Lino, Carlos Santiago, Manuel Marques
In the field of 3D Human Pose Estimation (HPE), accurately estimating human pose, especially in scenarios with occlusions, is a significant challenge. This work identifies and addr…
Latent Embedding Clustering for Occlusion Robust Head Pose Estimation
José Celestino, Manuel Marques, Jacinto C. Nascimento
Head pose estimation has become a crucial area of research in computer vision given its usefulness in a wide range of applications, including robotics, surveillance, or driver atte…