81 citations · 262 across the 26 of their papers we have counts for
5 papers · 1 filter
AuthorGAN: Improving GAN Reproducibility using a Modular GAN Framework
Raunak Sinha, Anush Sankaran, Mayank Vatsa +1
Generative models are becoming increasingly popular in the literature, with Generative Adversarial Networks (GAN) being the most successful variant, yet. With this increasing deman…
Dual Directed Capsule Network for Very Low Resolution Image Recognition
Maneet Singh, Shruti Nagpal, Richa Singh +1
Very low resolution (VLR) image recognition corresponds to classifying images with resolution 16x16 or less. Though it has widespread applicability when objects are captured at a v…
On Learning Density Aware Embeddings
Soumyadeep Ghosh, Richa Singh, Mayank Vatsa
Deep metric learning algorithms have been utilized to learn discriminative and generalizable models which are effective for classifying unseen classes. In this paper, a novel noise…
Deep Learning for Face Recognition: Pride or Prejudiced?
Shruti Nagpal, Maneet Singh, Richa Singh +1
Do very high accuracies of deep networks suggest pride of effective AI or are deep networks prejudiced? Do they suffer from in-group biases (own-race-bias and own-age-bias), and mi…
On Detecting GANs and Retouching based Synthetic Alterations
Anubhav Jain, Richa Singh, Mayank Vatsa
Digitally retouching images has become a popular trend, with people posting altered images on social media and even magazines posting flawless facial images of celebrities. Further…