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Found 4 papers, 4 papers with code
Face Super-Resolution Using Stochastic Differential Equations
To the best of our knowledge, this is the first time SDEs have been used for such an application.
Generative Adversarial Graph Convolutional Networks for Human Action Synthesis
Synthesising the spatial and temporal dynamics of the human body skeleton remains a challenging task, not only in terms of the quality of the generated shapes, but also of their diversity, particularly to synthesise realistic body movements of a specific action (action conditioning).
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Human action generation
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ZSpeedL -- Evaluating the Performance of Zero-Shot Learning Methods using Low-Power Devices
The recognition of unseen objects from a semantic representation or textual description, usually denoted as zero-shot learning, is more prone to be used in real-world scenarios when compared to traditional object recognition.
An Attention-Based Deep Learning Model for Multiple Pedestrian Attributes Recognition
The automatic characterization of pedestrians in surveillance footage is a tough challenge, particularly when the data is extremely diverse with cluttered backgrounds, and subjects are captured from varying distances, under multiple poses, with partial occlusion.
