3 papers
cs.CV2020
Toward Accurate and Realistic Virtual Try-on Through Shape Matching and Multiple Warps
Kedan Li, Min Jin Chong, Jingen Liu +1
A virtual try-on method takes a product image and an image of a model and produces an image of the model wearing the product. Most methods essentially compute warps from the produc…
cs.CV2019
Effectively Unbiased FID and Inception Score and where to find them
Min Jin Chong, David Forsyth
This paper shows that two commonly used evaluation metrics for generative models, the Fréchet Inception Distance (FID) and the Inception Score (IS), are biased -- the expected valu…
cs.CV2019
Unrestricted Adversarial Examples via Semantic Manipulation
Anand Bhattad, Min Jin Chong, Kaizhao Liang +2
Machine learning models, especially deep neural networks (DNNs), have been shown to be vulnerable against adversarial examples which are carefully crafted samples with a small magn…