1 citations · 3 across the 4 of their papers we have counts for
4 papers
Young Labeled Faces in the Wild (YLFW): A Dataset for Children Faces Recognition
Iurii Medvedev, Farhad Shadmand, Nuno Gonçalves
Face recognition has achieved outstanding performance in the last decade with the development of deep learning techniques. Nowadays, the challenges in face recognition are related…
MorDeephy: Face Morphing Detection Via Fused Classification
Iurii Medvedev, Farhad Shadmand, Nuno Gonçalves
Face morphing attack detection (MAD) is one of the most challenging tasks in the field of face recognition nowadays. In this work, we introduce a novel deep learning strategy for a…
Probabilistic Approach for Road-Users Detection
G. Melotti, W. Lu, P. Conde +4
Object detection in autonomous driving applications implies that the detection and tracking of semantic objects are commonly native to urban driving environments, as pedestrians an…
Probabilistic Object Classification using CNN ML-MAP layers
G. Melotti, C. Premebida, J. J. Bird +2
Deep networks are currently the state-of-the-art for sensory perception in autonomous driving and robotics. However, deep models often generate overconfident predictions precluding…