7 citations · 21 across the 9 of their papers we have counts for
9 papers
Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning
Ramya Hebbalaguppe, Rishabh Patra, Tirtharaj Dash +2
Deep neural networks (DNN) are prone to miscalibrated predictions, often exhibiting a mismatch between the predicted output and the associated confidence scores. Contemporary model…
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions
Ramya S. Hebbalaguppe, Soumya Suvra Goshal, Jatin Prakash +2
Modern deep neural network models are known to erroneously classify out-of-distribution (OOD) test data into one of the in-distribution (ID) training classes with high confidence.…
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration
Ramya Hebbalaguppe, Jatin Prakash, Neelabh Madan +1
Deep Neural Networks ( DNN s) are known to make overconfident mistakes, which makes their use problematic in safety-critical applications. State-of-the-art ( SOTA ) calibration tec…
PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation
Mrinal Rawat, Ramya Hebbalaguppe, Lovekesh Vig
While Out-of-distribution (OOD) detection has been well explored in computer vision, there have been relatively few prior attempts in OOD detection for NLP classification. In this…
Synthetic Video Generation for Robust Hand Gesture Recognition in Augmented Reality Applications
Varun Jain, Shivam Aggarwal, Suril Mehta +1
Hand gestures are a natural means of interaction in Augmented Reality and Virtual Reality (AR/VR) applications. Recently, there has been an increased focus on removing the dependen…
Variational Student: Learning Compact and Sparser Networks in Knowledge Distillation Framework
Srinidhi Hegde, Ranjitha Prasad, Ramya Hebbalaguppe +1
The holy grail in deep neural network research is porting the memory- and computation-intensive network models on embedded platforms with a minimal compromise in model accuracy. To…
GestARLite: An On-Device Pointing Finger Based Gestural Interface for Smartphones and Video See-Through Head-Mounts
Varun Jain, Gaurav Garg, Ramakrishna Perla +1
Hand gestures form an intuitive means of interaction in Mixed Reality (MR) applications. However, accurate gesture recognition can be achieved only through state-of-the-art deep le…
AirPen: A Touchless Fingertip Based Gestural Interface for Smartphones and Head-Mounted Devices
Varun Jain, Ramya Hebbalaguppe
Hand gestures are an intuitive, socially acceptable, and a non-intrusive interaction modality in Mixed Reality (MR) and smartphone based applications. Unlike speech interfaces, the…
Google Cardboard Dates Augmented Reality : Issues, Challenges and Future Opportunities
Ramakrishna Perla, Ramya Hebbalaguppe
The Google's frugal Cardboard solution for immersive Virtual Reality experiences has come a long way in the VR market. The Google Cardboard VR applications will support us in the f…