Face super-resolution via nonlinear adaptive representation
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DOI: 10.1007/s00521-019-04652-5
Abstract: Face super-resolution is an example of super-resolution technique, where it takes one or multiple observed low-resolution images and then converts them to high-resolution image. Learning-based face super-resolution depends on prior information from training database. Most… read more here.
Keywords: resolution; super resolution; face super; adaptive representation ... See more keywords
Driver Drowsiness Detection Using Condition-Adaptive Representation Learning Framework
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2018.2883823
Abstract: We propose a condition-adaptive representation learning framework for driver drowsiness detection based on a 3D-deep convolutional neural network. The proposed framework consists of four models: spatio-temporal representation learning, scene condition understanding, feature fusion, and drowsiness… read more here.
Keywords: representation; adaptive representation; condition; drowsiness detection ... See more keywords