4 citations · 5 across the 6 of their papers we have counts for
7 papers
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…
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…
Efficient Remote Photoplethysmography with Temporal Derivative Modules and Time-Shift Invariant Loss
Joaquim Comas, Adria Ruiz, Federico Sukno
We present a lightweight neural model for remote heart rate estimation focused on the efficient spatio-temporal learning of facial photoplethysmography (PPG) based on i) modelling…
End-to-end facial and physiological model for Affective Computing and applications
Joaquim Comas, Decky Aspandi, Xavier Binefa
In recent years, Affective Computing and its applications have become a fast-growing research topic. Furthermore, the rise of Deep Learning has introduced significant improvements…