Search Results for author: Luis Baumela

Found 10 papers, 9 papers with code

BEBLID: Boosted efficient binary local image descriptor

1 code implementation7 Feb 2024 Iago Suárez, Ghesn Sfeir, José M. Buenaposada, Luis Baumela

Efficient matching of local image features is a fundamental task in many computer vision applications.

Computational Efficiency Retrieval

On the representation and methodology for wide and short range head pose estimation

1 code implementation Pattern Recognition 2024 Alejandro Cobo, Roberto Valle, José M. Buenaposada, Luis Baumela

We also propose a generalization of the geodesic angular distance metric that enables the construction of a loss that controls the contribution of each training sample to the optimization of the model.

Head Pose Estimation

Shape Preserving Facial Landmarks with Graph Attention Networks

1 code implementation13 Oct 2022 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.

Face Alignment Facial Landmark Detection +2

Multi-task head pose estimation in-the-wild

1 code implementation4 Feb 2022 Roberto Valle, José Miguel Buenaposada, Luis Baumela

We contribute with a network architecture and training strategy that harness the strong dependencies among face pose, alignment and visibility, to produce a top performing model for all three tasks.

 Ranked #1 on Face Alignment on COFW (Recall at 80% precision (Landmarks Visibility) metric)

Face Alignment Head Pose Estimation

Revisiting Binary Local Image Description for Resource Limited Devices

1 code implementation18 Aug 2021 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 requirements.

ELSED: Enhanced Line SEgment Drawing

1 code implementation6 Aug 2021 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.

Line Detection Line Segment Detection

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

1 code implementation5 Feb 2019 Roberto Valle, José M. Buenaposada, Antonio Valdés, Luis Baumela

In this paper we present 3DDE, a robust and efficient face alignment algorithm based on a coarse-to-fine cascade of ensembles of regression trees.

Ranked #2 on Face Alignment on 300W Split 2 (NME (inter-ocular) metric)

Face Alignment Face Model +2

A Deeply-initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment

1 code implementation ECCV 2018 Roberto Valle, Jose M. Buenaposada, Antonio Valdes, Luis Baumela

In this paper we present DCFE, a real-time facial landmark regression method based on a coarse-to-fine Ensemble of Regression Trees (ERT).

Ranked #2 on Face Alignment on 300W Split 2 (FR@8 (inter-ocular) metric)

Face Alignment Face Model +2

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