Teaching

D. Gerónimo. Machine Learning & Computer Vision Basics, Master in Internet of Things for e-Health, 2019.

D. Gerónimo. Logistic Regression, Master in Internet of Things for e-Health, 2019.

D. Gerónimo. Support Vector Machines, Master in Internet of Things for e-Health, 2019.

D. Gerónimo. Local Descriptors, Master in Internet of Things for e-Health, 2019.

D. Gerónimo. Classical Neural Networks, Master in Internet of Things for e-Health, 2019.

D. Gerónimo. Deep Learning (Introduction), Master in Internet of Things for e-Health, 2019.

D. Gerónimo. Deep Learning (Standard Networks), Master in Internet of Things for e-Health, 2019.

D. Gerónimo. Deep Learning (Fine tuning and overfitting), Master in Internet of Things for e-Health, 2019.

D. Gerónimo. Local Image Descriptors, Master in Computer Vision and Artificial Intelligence (Introduction to Computer Vision), 2010, 2011 and 2012.

Albert Saà. Traffic lights detection in images for intelligent vehicles, 2012.
MSc Student at Computer Vision Center (Spain), advised by D. Gerónimo.

Karel Paleček. Pre-detection of humans using fast cues, 2011.
PhD Internship at LAAS-CNRS (France), advised by F. Lerasle and D. Gerónimo.

Hilda Caballero. Pedestrian detection refinement via non-explicit shape models, 2009.
MSc Student at Computer Vision Center (Spain), advised by D. Gerónimo and A.M. López.

David Vázquez. The effect of the distance in pedestrian detection, 2009.
MSc Student at Computer Vision Center (Spain), advised by A.M. López and D. Gerónimo.