10 papers
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…
Agentic Service Markets Across the Computing Continuum: A Polymatroidal Architecture
Lauri Lovén, Alaa Saleh, Reza Farahani +5
Autonomous AI agents are becoming economic actors. They compose deadline-bound services across the device-edge-cloud continuum and contend for capacity no single operator owns. Thi…
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…
From Theory to Throughput: CUDA-Optimized APML for Large-Batch 3D Learning
Sasan Sharifipour, Constantino Álvarez Casado, Manuel Lage Cañellas +1
Loss functions are fundamental to learning accurate 3D point cloud models, yet common choices trade geometric fidelity for computational cost. Chamfer Distance is efficient but per…
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…