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Author
Title
Year
Publication
Volume
Pages
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Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat
Photometric Stereo through and Adapted Alternation Approach
2008
IEEE International Conference on Image Processing,
1500–1503
Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez
Factorization with Missing and Noisy Data
2006
6th International Conference on Computational Science
LNCS 3991
555–562
Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez
An Iterative Multiresolution Scheme for SFM
2006
International Conference on Image Analysis and Recognition
LNCS 4141
804–815
Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez
Motion Segmentation from Feature Trajectories with Missing Data
2007
3rd. Iberian Conference on Pattern Recognition and Image Analysis
LNCS 4477
483–490
Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez
An Adapted Alternation Approach for Recommender Systems
2008
IEEE International Conference on e–Business Engineering,
128–135
Cesar de Souza; Adrien Gaidon; Eleonora Vig; Antonio Lopez
Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition
2016
14th European Conference on Computer Vision
697-716
Cesar de Souza; Adrien Gaidon; Yohann Cabon; Antonio Lopez
Procedural Generation of Videos to Train Deep Action Recognition Networks
2017
30th IEEE Conference on Computer Vision and Pattern Recognition
2594-2604
Chris Bahnsen; David Vazquez; Antonio Lopez; Thomas B. Moeslund
Learning to Remove Rain in Traffic Surveillance by Using Synthetic Data
2019
14th International Conference on Computer Vision Theory and Applications
123-130
Cristhian A. Aguilera-Carrasco; Angel Sappa; Ricardo Toledo
LGHD: a Feature Descriptor for Matching Across Non-Linear Intensity Variations
2015
22th IEEE International Conference on Image Processing
178 - 181
Cristhian A. Aguilera-Carrasco; F. Aguilera; Angel Sappa; C. Aguilera; Ricardo Toledo
Learning cross-spectral similarity measures with deep convolutional neural networks
2016
29th IEEE Conference on Computer Vision and Pattern Recognition Worshops
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