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Found 7 papers, 0 papers with code
Proximally Sensitive Error for Anomaly Detection and Feature Learning
Mean squared error (MSE) is one of the most widely used metrics to expression differences between multi-dimensional entities, including images.
Real-time Webcam Heart-Rate and Variability Estimation with Clean Ground Truth for Evaluation
We introduce a refined and efficient real-time rPPG pipeline with novel filtering and motion suppression that not only estimates heart rates, but also extracts the pulse waveform to time heart beats and measure heart rate variability.
Efficiency in Real-time Webcam Gaze Tracking
To do so, we evaluate the computational speed/accuracy trade-off for the CNN and the calibration effort/accuracy trade-off for screen calibration.
Efficient Real-Time Camera Based Estimation of Heart Rate and Its Variability
Remote photo-plethysmography (rPPG) uses a remotely placed camera to estimating a person's heart rate (HR).
Object-Extent Pooling for Weakly Supervised Single-Shot Localization
To facilitate this, we propose a novel global pooling technique called Spatial Pyramid Averaged Max (SPAM) pooling for training this CAM-based network for object extent localisation with only weak image-level supervision.
Human Pose Estimation in Space and Time using 3D CNN
This paper explores the capabilities of convolutional neural networks to deal with a task that is easily manageable for humans: perceiving 3D pose of a human body from varying angles.
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3D Human Pose Estimation
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Recognizing Semantic Features in Faces using Deep Learning
This thesis provides a study of the effects of various factors and hyper-parameters of deep neural networks in the process of determining an optimal network configuration for the task of semantic facial feature recognition.
