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Found 6 papers, 2 papers with code
Improving Defensive Distillation using Teacher Assistant
Adversarial attacks pose a significant threat to the security and safety of deep neural networks being applied to modern applications.
Analyzing Compression Techniques for Computer Vision
Compressing deep networks is highly desirable for practical use-cases in computer vision applications.
Helping Visually Impaired People Take Better Quality Pictures
The photographs taken by visually impaired users often suffer from one or both of two kinds of quality issues: technical quality (distortions), and semantic quality, such as framing and aesthetic composition.
Optimum Methods for Quasi-Orthographic Surface Imaging
An approximate orthographic capture has been attributed to a small field of view and a closed form relationship has been derived for evaluating local orthographic capture region which varies depending on the point of capture on the surface.
Modelling Quasi-Orthographic Captures for Surface Imaging
Surveillance and surveying are two important applications of empirical research.
Patch-VQ: 'Patching Up' the Video Quality Problem
No-reference (NR) perceptual video quality assessment (VQA) is a complex, unsolved, and important problem to social and streaming media applications.
Ranked #10 on
Video Quality Assessment
on LIVE-FB LSVQ
(using extra training data)
