Research
I'm interested in computer vision, machine learning, optimization, and image processing. In particular, my research is about inferring the shape of physical world from images. Please find below a selection of my publications or check my google scholar.
2D image head pose estimation via latent space regression under occlusion settings
José Celestino ,
Manuel Marques ,
Jacinto C. Nascimento ,
João Paulo Costeira ,
Pattern Recognition , 2023
code
A novel deep learning approach for the problem of head pose estimation under occlusions based on latent space regression.
CYCLANDS: Cycling geo-located accidents, their details and severities
Miguel Costa ,
Manuel Marques ,
Carlos Roque ,
Filipe Moura ,
Scientific Data , 2022
DATASET   |  
code
CYCLANDS is a curated collection of 30 datasets on cycling crashes to lower the barrier in objective cycling research comprising nearly 1.6 M cycling accidents.
Rotation Averaging in a Split Second:
A Primal-Dual Method and a Closed-Form for Cycle Graphs
Gabriel Moreira ,
Manuel Marques ,
João Paulo Costeira ,
IEEE International Conference on Computer Vision , 2021
ORAL presentation   |  
poster   |  
code
A very fast initialization-free primal-dual method and an optimal closed-form solution for rotation averaging in cycle graphs.
Recovery of Subspace Structure from High-Rank Data with Missing Entries
João Carvalho ,
Manuel Marques ,
João Paulo Costeira ,
IEEE International Conference on Image Processing , 2019
poster
A method to reconstruct and cluster incomplete high-dimensional data lying in a union of low-dimensional subspaces.
Motion analysis for people with cerebral palsy: A vision based approach
Mário Macedo,
Alexandre Candeias ,
Manuel Marques ,
IEEE International Conference on Rehabilitation Robotics , 2019
poster
A methodology to classify motion of subjects with cerebral palsy based on RGB image sequences.
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Vision Augmented Robot Feeding
Alexandre Candeias ,
Travers Rhodes ,
Manuel Marques ,
João Paulo Costeira ,
Manuela M. Veloso ,
European Conference on Computer Vision - Workshop , 2018
FeedBot project   |  
video
We evaluate how vision can be used to improve both food acquisition and delivery.
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A Context Aware and Video-Based Risk Descriptor for Cyclists
Miguel Costa ,
Beatriz Quintino Ferreira ,
Manuel Marques ,
IEEE International Conference on Intelligent Transportation Systems , 2017
project page
From smartphone sequences of images, we propose a new framework to assess the route risk from the cyclist perspective.
Subspace matching: Unique solution to point matching with geometric constraints
Manuel Marques ,
Marko Stosic ,
João Paulo Costeira ,
IEEE International Conference on Computer Vision , 2009
code
We prove that the problem of matching a feature vector to a given subspace can be uniquely solved in a convex set.
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Estimating 3D shape from degenerate sequences with missing data
Manuel Marques ,
João Paulo Costeira
Computer Vision and Image Understanding , February 2009
code
We propose to solve the structure from motion problem with degenerate data, introducing a new factorization algorithm that imposes the full scaled orthographic model in one single optimization procedure.