44 citations · 51 across the 3 of their papers we have counts for
4 papers
Sliced Wasserstein Generative Models
Jiqing Wu, Zhiwu Huang, Dinesh Acharya +4
In generative modeling, the Wasserstein distance (WD) has emerged as a useful metric to measure the discrepancy between generated and real data distributions. Unfortunately, it is…
Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANs
Dinesh Acharya, Zhiwu Huang, Danda Pani Paudel +1
The extension of image generation to video generation turns out to be a very difficult task, since the temporal dimension of videos introduces an extra challenge during the generat…
Covariance Pooling For Facial Expression Recognition
Dinesh Acharya, Zhiwu Huang, Danda Paudel +1
Classifying facial expressions into different categories requires capturing regional distortions of facial landmarks. We believe that second-order statistics such as covariance is…
Wasserstein Divergence for GANs
Jiqing Wu, Zhiwu Huang, Janine Thoma +2
In many domains of computer vision, generative adversarial networks (GANs) have achieved great success, among which the family of Wasserstein GANs (WGANs) is considered to be state…