114 citations · 260 across the 5 of their papers we have counts for
7 papers · 1 filter
BEBLID: Boosted efficient binary local image descriptor
Iago Suárez, Ghesn Sfeir, José M. Buenaposada +1
Efficient matching of local image features is a fundamental task in many computer vision applications. However, the real-time performance of top matching algorithms is compromised…
BAdaCost: Multi-class Boosting with Costs
Antonio Fernández-Baldera, José M. Buenaposada, Luis Baumela
We present BAdaCost, a multi-class cost-sensitive classification algorithm. It combines a set of cost-sensitive multi-class weak learners to obtain a strong classification rule wit…
On the representation and methodology for wide and short range head pose estimation
Alejandro Cobo, Roberto Valle, José M. Buenaposada +1
Head pose estimation (HPE) is a problem of interest in computer vision to improve the performance of face processing tasks in semi-frontal or profile settings. Recent applications…
Shape Preserving Facial Landmarks with Graph Attention Networks
Andrés Prados-Torreblanca, José M. Buenaposada, Luis Baumela
Top-performing landmark estimation algorithms are based on exploiting the excellent ability of large convolutional neural networks (CNNs) to represent local appearance. However, it…
Multi-task head pose estimation in-the-wild
Roberto Valle, José Miguel Buenaposada, Luis Baumela
We present a deep learning-based multi-task approach for head pose estimation in images. We contribute with a network architecture and training strategy that harness the strong dep…
Revisiting Binary Local Image Description for Resource Limited Devices
Iago Suárez, José M. Buenaposada, Luis Baumela
The advent of a panoply of resource limited devices opens up new challenges in the design of computer vision algorithms with a clear compromise between accuracy and computational r…