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20192024
most citedBEBLID: Boosted efficient binary local image descriptor

114 citations · 260 across the 5 of their papers we have counts for

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7 papers · 1 filter

cs.CV2024114 cited

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…

cs.CV202434 cited

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…

cs.CV202419 cited

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…

cs.CV20226 cited

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…

cs.CV202287 cited

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…

cs.CV2021

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…