From the 1 of 10 linked papers with an AI index.
7 papers · 1 filter
Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction
LuÃs Maria Perdigão, Miguel Costa, Carlos Santiago +1
Cycling delivers significant public-health and environmental benefits, yet its uptake in cities is often limited by perceived safety. When street environments appear unsafe, indivi…
Face inpainting with Identity Preserving Latent Diffusion Models
João Santos, Carlos Santiago, Manuel Marques
Face inpainting techniques recover missing or occluded facial regions in a visually realistic manner, but preserving the identity in the final output remains a fundamental challeng…
Benchmarking 3D Human Pose Estimation Models under Occlusions
Filipa Lino, Carlos Santiago, Manuel Marques
Human Pose Estimation (HPE) involves detecting and localizing keypoints on the human body from visual data. In 3D HPE, occlusions, where parts of the body are not visible in the im…
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…
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…