43 citations · 80 across the 4 of their papers we have counts for
4 papers
In pixels we trust: From Pixel Labeling to Object Localization and Scene Categorization
Carlos Herranz-Perdiguero, Carolina Redondo-Cabrera, Roberto J. López-Sastre
While there has been significant progress in solving the problems of image pixel labeling, object detection and scene classification, existing approaches normally address them sepa…
Learning to Exploit the Prior Network Knowledge for Weakly-Supervised Semantic Segmentation
Carolina Redondo-Cabrera, Marcos Baptista-Ríos, Roberto J. López-Sastre
Training a Convolutional Neural Network (CNN) for semantic segmentation typically requires to collect a large amount of accurate pixel-level annotations, a hard and expensive task.…
The challenge of simultaneous object detection and pose estimation: a comparative study
Daniel Oñoro-Rubio, Roberto J. López-Sastre, Carolina Redondo-Cabrera +1
Detecting objects and estimating their pose remains as one of the major challenges of the computer vision research community. There exists a compromise between localizing the objec…
Unsupervised learning from videos using temporal coherency deep networks
Carolina Redondo-Cabrera, Roberto J. López-Sastre
In this work we address the challenging problem of unsupervised learning from videos. Existing methods utilize the spatio-temporal continuity in contiguous video frames as regulari…