9 citations · 19 across the 18 of their papers we have counts for
18 papers · 1 filter
Learning Multimodal Sensor Fusion with JEPA Representations for Breathing Activity and Pose Recognition
Yunxiang Luo, Constantino Álvarez Casado, Xiaoting Wu +4
Predictive video representations do not by themselves specify how a multimodal system should handle missing sensors. We transfer frozen V-JEPA2 features to a set of heterogeneous s…
Oracle headroom without signal: null-calibrated evaluation of candidate selection for thermal heart rate estimation
Mohammad Rakibur Rahman, Nhi Nguyen, Sasan Sharifipour +4
Camera-based physiological monitoring can produce multiple estimates from several facial regions, extraction methods, and processing settings. Signal quality indices aim to select…
GA-EIRFS: A Geometry-Augmented Repeat-Factor Sampling Method for Long-Tailed LiDAR 3D Object Detection
Taufiq Ahmed, Constantino Álvarez Casado, Daniel Herrera Castro +3
Long-tailed 3D object detection is treated as a class-frequency problem, but LiDAR supervision quality depends on object observability: similar frequencies can hide different geome…
Thermal Imaging for Contactless Cardiorespiratory and Sudomotor Response Monitoring
Constantino Álvarez Casado, Mohammad Rahman, Sasan Sharifipour +4
Human-machine interfaces in industrial automation need sensing modules that monitor operator actions and physiological state. This is important in factories, vehicles, machinery ca…
Quality-Aware Framework for Video-Derived Respiratory Signals
Nhi Nguyen, Constantino Álvarez Casado, Le Nguyen +2
Video-based respiratory rate (RR) estimation is often unreliable due to inconsistent signal quality across extraction methods. We present a predictive, quality-aware framework that…
3DPCNet: Pose Canonicalization for Robust Viewpoint-Invariant 3D Kinematic Analysis from Monocular RGB cameras
Tharindu Ekanayake, Constantino Álvarez Casado, Miguel Bordallo López
Monocular 3D pose estimators produce camera-centered skeletons, creating view-dependent kinematic signals that complicate comparative analysis in applications such as health and sp…
LiDAR-based Human Activity Recognition through Laplacian Spectral Analysis
Sasan Sharifipour, Constantino Álvarez Casado, Le Nguyen +4
Human Activity Recognition supports applications in healthcare, manufacturing, and human-machine interaction. LiDAR point clouds offer a privacy-preserving alternative to cameras a…
APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction
Sasan Sharifipour, Constantino Álvarez Casado, Mohammad Sabokrou +1
Training deep learning models for point cloud prediction tasks such as shape completion and generation depends critically on loss functions that measure discrepancies between predi…
Exponentially Weighted Instance-Aware Repeat Factor Sampling for Long-Tailed Object Detection Model Training in Unmanned Aerial Vehicles Surveillance Scenarios
Taufiq Ahmed, Abhishek Kumar, Constantino Álvarez Casado +5
Object detection models often struggle with class imbalance, where rare categories appear significantly less frequently than common ones. Existing sampling-based rebalancing strate…
OMuSense-23: A Multimodal Dataset for Contactless Breathing Pattern Recognition and Biometric Analysis
Manuel Lage Cañellas, Le Nguyen, Anirban Mukherjee +6
In the domain of non-contact biometrics and human activity recognition, the lack of a versatile, multimodal dataset poses a significant bottleneck. To address this, we introduce th…
Evaluation of Video-Based rPPG in Challenging Environments: Artifact Mitigation and Network Resilience
Nhi Nguyen, Le Nguyen, Honghan Li +2
Video-based remote photoplethysmography (rPPG) has emerged as a promising technology for non-contact vital sign monitoring, especially under controlled conditions. However, the acc…
Estimating exercise-induced fatigue from thermal facial images
Manuel Lage Cañellas, Constantino Álvarez Casado, Le Nguyen +1
Exercise-induced fatigue resulting from physical activity can be an early indicator of overtraining, illness, or other health issues. In this article, we present an automated metho…
Facial Kinship Verification from remote photoplethysmography
Xiaoting Wu, Xiaoyi Feng, Constantino Álvarez Casado +2
Facial Kinship Verification (FKV) aims at automatically determining whether two subjects have a kinship relation based on human faces. It has potential applications in finding miss…
Non-Contact Heart Rate Measurement from Deteriorated Videos
Nhi Nguyen, Le Nguyen, Constantino Álvarez Casado +2
Remote photoplethysmography (rPPG) offers a state-of-the-art, non-contact methodology for estimating human pulse by analyzing facial videos. Despite its potential, rPPG methods can…
Improving Depression estimation from facial videos with face alignment, training optimization and scheduling
Manuel Lage Cañellas, Constantino Álvarez Casado, Le Nguyen +1
Deep learning models have shown promising results in recognizing depressive states using video-based facial expressions. While successful models typically leverage using 3D-CNNs or…
Depression Recognition using Remote Photoplethysmography from Facial Videos
Constantino Álvarez Casado, Manuel Lage Cañellas, Miguel Bordallo López
Depression is a mental illness that may be harmful to an individual's health. The detection of mental health disorders in the early stages and a precise diagnosis are critical to a…
Video2IMU: Realistic IMU features and signals from videos
Arttu Lämsä, Jaakko Tervonen, Jussi Liikka +2
Human Activity Recognition (HAR) from wearable sensor data identifies movements or activities in unconstrained environments. HAR is a challenging problem as it presents great varia…
Face2PPG: An unsupervised pipeline for blood volume pulse extraction from faces
Constantino Álvarez Casado, Miguel Bordallo López
Photoplethysmography (PPG) signals have become a key technology in many fields, such as medicine, well-being, or sports. Our work proposes a set of pipelines to extract remote PPG…