OSKAR: Omnimodal Self-supervised Knowledge Abstraction and Representation
OSKAR is a self-supervised multimodal foundation model that learns in the latent space by predicting masked multimodal features.
mohamed-abdelfattah
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MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning
MaskCLR improves the robustness of transformer-based action recognition methods against noisy and incomplete skeletons.
mohamed-abdelfattah
S-JEPA: Joint Embedding Predictive Architecture for Self-Supervised Skeletal Action Recognition
S-JEPA is an instantiation of JEPA for self-supervised skeletal action recognition.
mohamed-abdelfattah
Automated detection of isolated REM sleep behavior disorder using computer vision
A computer-vision pipeline using conventional 2D sleep-lab cameras to automatically detect iRBD from REM movement dynamics with up to 91.9% accuracy.
mohamed-abdelfattah
Toward contactless human thermal monitoring: A framework for Machine Learning-based human thermo-physiology modeling augmented with computer vision
A machine-learning human thermo-physiology model (ML-HTPM) developed to predict thermal response.
mohamad-rida