• Primate Identification in the Wild

• Unique Identifcation of Patterned species for Poplation Monitoring and Developing Comservation Strategies

• Defense for Adversiarial Attacks

• Semi-Supervised Clustering in Deep Neural Networks

• Exploring and Analysing Geometry of Latent Spaces of Deep Generative Models for Learning Disentangled Represenations

• Peristent Topological Signatures as features for view invariant activity recongition

• Mahalanobis Distance Metric Learning by Optimizing on the Stiefel Manifold
  Metric learning techniques use training examples to learn a distance function that is semantically consistent with the data.