14 citations · 47 across the 22 of their papers we have counts for
5 papers · 1 filter
Wearing the Same Outfit in Different Ways -- A Controllable Virtual Try-on Method
Kedan Li, Jeffrey Zhang, Shao-Yu Chang +1
An outfit visualization method generates an image of a person wearing real garments from images of those garments. Current methods can produce images that look realistic and preser…
How Would The Viewer Feel? Estimating Wellbeing From Video Scenarios
Mantas Mazeika, Eric Tang, Andy Zou +6
In recent years, deep neural networks have demonstrated increasingly strong abilities to recognize objects and activities in videos. However, as video understanding becomes widely…
How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection
Mantas Mazeika, Bo Li, David Forsyth
Model stealing attacks present a dilemma for public machine learning APIs. To protect financial investments, companies may be forced to withhold important information about their m…
Long Scale Error Control in Low Light Image and Video Enhancement Using Equivariance
Sara Aghajanzadeh, David Forsyth
Image frames obtained in darkness are special. Just multiplying by a constant doesn't restore the image. Shot noise, quantization effects and camera non-linearities mean that color…
Towards Robust Low Light Image Enhancement
Sara Aghajanzadeh, David Forsyth
In this paper, we study the problem of making brighter images from dark images found in the wild. The images are dark because they are taken in dim environments. They suffer from c…