87 citations · 151 across the 6 of their papers we have counts for
7 papers
HuC-VideoMAE: Human-Centric Video Masked Autoencoding from synthetic data
Ricardo Pizarro, Roberto Valle, José M. Buenaposada +2
Modern action recognition models rely on video transformers pretrained on massive collections of web-crawled videos, such as Kinetics-700. However, the use of such data raises ethi…
Auditing Demographic Bias in Facial Landmark Detection for Fair Human-Robot Interaction
Pablo Parte, Roberto Valle, José M. Buenaposada +1
Fairness in human-robot interaction critically depends on the reliability of the perceptual models that enable robots to interpret human behavior. While demographic biases have bee…
Beyond Flicker: Detecting Kinematic Inconsistencies for Generalizable Deepfake Video Detection
Alejandro Cobo, Roberto Valle, José Miguel Buenaposada +1
Generalizing deepfake detection to unseen manipulations remains a key challenge. A recent approach to tackle this issue is to train a network with pristine face images that have be…
PO-GUISE+: Pose and object guided transformer token selection for efficient driver action recognition
Ricardo Pizarro, Roberto Valle, Rafael Barea +3
We address the task of identifying distracted driving by analyzing in-car videos using efficient transformers. Although transformer models have achieved outstanding performance in…
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…
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…
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…