6 papers
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…
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images
Sharib Ali, Binod Bhattarai, Tae-Kyun Kim +1
Endoscopy is a widely used imaging modality to diagnose and treat diseases in hollow organs as for example the gastrointestinal tract, the kidney and the liver. However, due to var…
Inducing Optimal Attribute Representations for Conditional GANs
Binod Bhattarai, Tae-Kyun Kim
Conditional GANs are widely used in translating an image from one category to another. Meaningful conditions to GANs provide greater flexibility and control over the nature of the…
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…
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…
CP-mtML: Coupled Projection multi-task Metric Learning for Large Scale Face Retrieval
Binod Bhattarai, Gaurav Sharma, Frederic Jurie
We propose a novel Coupled Projection multi-task Metric Learning (CP-mtML) method for large scale face retrieval. In contrast to previous works which were limited to low dimensiona…