4 citations · 4 across the 6 of their papers we have counts for
7 papers
3DFETUS: Deep Learning-Based Standardization of Facial Planes in 3D Ultrasound
Alomar Antonia, Rubio Ricardo, Albaiges Gerard +7
The automatic localization and standardization of anatomical planes in 3D medical imaging remains a challenging problem due to variability in object pose, appearance, and image qua…
BeatFormer: Efficient motion-robust remote heart rate estimation through unsupervised spectral zoomed attention filters
Joaquim Comas, Federico Sukno
Remote photoplethysmography (rPPG) captures cardiac signals from facial videos and is gaining attention for its diverse applications. While deep learning has advanced rPPG estimati…
CAST-Phys: Contactless Affective States Through Physiological signals Database
Joaquim Comas, Alexander Joel Vera, Xavier Vives +3
In recent years, affective computing and its applications have become a fast-growing research topic. Despite significant advancements, the lack of affective multi-modal datasets re…
Automatic facial axes standardization of 3D fetal ultrasound images
Antonia Alomar, Ricardo Rubio, Laura Salort +4
Craniofacial anomalies indicate early developmental disturbances and are usually linked to many genetic syndromes. Early diagnosis is critical, yet ultrasound (US) examinations oft…
PhysFlow: Skin tone transfer for remote heart rate estimation through conditional normalizing flows
Joaquim Comas, Antonia Alomar, Adria Ruiz +1
In recent years, deep learning methods have shown impressive results for camera-based remote physiological signal estimation, clearly surpassing traditional methods. However, the p…
Deep Pulse-Signal Magnification for remote Heart Rate Estimation in Compressed Videos
Joaquim Comas, Adria Ruiz, Federico Sukno
Recent advancements in data-driven approaches for remote photoplethysmography (rPPG) have significantly improved the accuracy of remote heart rate estimation. However, the performa…
Deep adaptative spectral zoom for improved remote heart rate estimation
Joaquim Comas, Adria Ruiz, Federico Sukno
Recent advances in remote heart rate measurement, motivated by data-driven approaches, have notably enhanced accuracy. However, these improvements primarily focus on recovering the…