Highlights
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UCLA-VMG/EquiPleth
UCLA-VMG/EquiPleth PublicTo overcome fundamental biases in camera-based remote plethysmography, we propose an adversarial learning-based fair fusion method, using a novel RGB-Radar hardware setup.
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UCLA-VMG/syndicate
UCLA-VMG/syndicate PublicThis repository is a C++ codebase for synchronized data capture from a "syndicate" of multimodal sensors. The acquired data can then be used to solve challenges in perception and imaging.
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health_diagnostic_sensor
health_diagnostic_sensor PublicImplementation of the Health Diagnostic Sensor as part of EE 434 Final Project
Jupyter Notebook 3
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Parallel-Canny-Edge-Detection
Parallel-Canny-Edge-Detection PublicA CPU and GPU based implementation for parallelizing the Canny Edge Detection operator
C++ 1
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