19 citations · 20 across the 4 of their papers we have counts for
5 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…
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…
2D Image head pose estimation via latent space regression under occlusion settings
José Celestino, Manuel Marques, Jacinto C. Nascimento +1
Head orientation is a challenging Computer Vision problem that has been extensively researched having a wide variety of applications. However, current state-of-the-art systems stil…
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…
Scoring Cycling Environments Perceived Safety using Pairwise Image Comparisons
Miguel Costa, Manuel Marques, Felix Wilhelm Siebert +2
Today, many cities seek to transition to more sustainable transportation systems. Cycling is critical in this transition for shorter trips, including first-and-last-mile links to t…