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Lung image segmentation by generative adversarial networks
The generative adversarial networks was employed to translate the original lung image to the segmented image.
RGB Video Based Tennis Action Recognition Using a Deep Historical Long Short-Term Memory
Action recognition has attracted increasing attention from RGB input in computer vision partially due to potential applications on somatic simulation and statistics of sport such as virtual tennis game and tennis techniques and tactics analysis by video.
Learning zeroth class dictionary for human action recognition
In this paper, a discriminative two-phase dictionary learning framework is proposed for classifying human action by sparse shape representations, in which the first-phase dictionary is learned on the selected discriminative frames and the second-phase dictionary is built for recognition using reconstruction errors of the first-phase dictionary as input features.
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