activity
20192024
most citedBEBLID: Boosted efficient binary local image descriptor

114 citations · 304 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2024★ 114 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.CV2024★ 34 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.CV2024★ 19 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.CV2022★ 6 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.CV2022★ 87 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…

cs.CV2021

ELSED: Enhanced Line SEgment Drawing

Iago Suárez, José M. Buenaposada, Luis Baumela

Detecting local features, such as corners, segments or blobs, is the first step in the pipeline of many Computer Vision applications. Its speed is crucial for real-time application…

cs.CV2019★ 44 cited

Face Alignment using a 3D Deeply-initialized Ensemble of Regression Trees

Roberto Valle, José M. Buenaposada, Antonio Valdés +1

Face alignment algorithms locate a set of landmark points in images of faces taken in unrestricted situations. State-of-the-art approaches typically fail or lose accuracy in the pr…