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The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression
In 2000, the Cohn-Kanade (CK) database was released for the purpose of promoting research into automatically detecting individual facial expressions. Since then, the CK database has become one of theExpand
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Painful data: The UNBC-McMaster shoulder pain expression archive database
A major factor hindering the deployment of a fully functional automatic facial expression detection system is the lack of representative data. A solution to this is to narrow the context of theExpand
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Painful monitoring: Automatic pain monitoring using the UNBC-McMaster shoulder pain expression archive database
In intensive care units in hospitals, it has been recently shown that enormous improvements in patient outcomes can be gained from the medical staff periodically monitoring patient pain levels.Expand
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A Database for Person Re-Identification in Multi-Camera Surveillance Networks
Person re-identification involves recognising individuals in different locations across a network of cameras and is a challenging task due to a large number of varying factors such as pose (bothExpand
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Automatically Detecting Pain in Video Through Facial Action Units
In a clinical setting, pain is reported either through patient self-report or via an observer. Such measures are problematic as they are: 1) subjective, and 2) give no specific timing information.Expand
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Person-independent facial expression detection using Constrained Local Models
In automatic facial expression detection, very accurate registration is desired which can be achieved via a deformable model approach where a dense mesh of 60–70 points on the face is used, such asExpand
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Lipreading Using Profile Versus Frontal Views
Visual information from a speaker's mouth region is known to improve automatic speech recognition robustness. However, the vast majority of audio-visual automatic speech recognition (AVASR) studiesExpand
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"Quality vs Quantity": Improved Shot Prediction in Soccer using Strategic Features from Spatiotemporal Data
In this paper, we present a method which accurately estimates the likelihood of chances in soccer using strategic features from an entire season of player and ball tracking data taken from aExpand
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Assessing team strategy using spatiotemporal data
The "Moneyball" revolution coincided with a shift in the way professional sporting organizations handle and utilize data in terms of decision making processes. Due to the demand for better sportsExpand
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Where Will They Go? Predicting Fine-Grained Adversarial Multi-agent Motion Using Conditional Variational Autoencoders
Simultaneously and accurately forecasting the behavior of many interacting agents is imperative for computer vision applications to be widely deployed (e.g., autonomous vehicles, security,Expand
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