3 papers
cs.CV2020
3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning
Rumeysa Bodur, Binod Bhattarai, Tae-Kyun Kim
Manipulating facial expressions is a challenging task due to fine-grained shape changes produced by facial muscles and the lack of input-output pairs for supervised learning. Unlik…
cs.CV2019
Sampling Strategies for GAN Synthetic Data
Binod Bhattarai, Seungryul Baek, Rumeysa Bodur +1
Generative Adversarial Networks (GANs) have been used widely to generate large volumes of synthetic data. This data is being utilized for augmenting with real examples in order to…
cs.CV2019
AugLabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification
Binod Bhattarai, Rumeysa Bodur, Tae-Kyun Kim
Augmenting data in image space (eg. flipping, cropping etc) and activation space (eg. dropout) are being widely used to regularise deep neural networks and have been successfully a…