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cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

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…