13 citations · 19 across the 18 of their papers we have counts for
8 papers · 1 filter
Prb-GAN: A Probabilistic Framework for GAN Modelling
Blessen George, Vinod K. Kurmi, Vinay P. Namboodiri
Generative adversarial networks (GANs) are very popular to generate realistic images, but they often suffer from the training instability issues and the phenomenon of mode loss. In…
Exploring Dropout Discriminator for Domain Adaptation
Vinod K Kurmi, Venkatesh K Subramanian, Vinay P. Namboodiri
Adaptation of a classifier to new domains is one of the challenging problems in machine learning. This has been addressed using many deep and non-deep learning based methods. Among…
Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learning
Indu Joshi, Ayush Utkarsh, Riya Kothari +4
A fingerprint region of interest (roi) segmentation algorithm is designed to separate the foreground fingerprint from the background noise. All the learning based state-of-the-art…
Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprints
Indu Joshi, Ayush Utkarsh, Riya Kothari +4
The effectiveness of fingerprint-based authentication systems on good quality fingerprints is established long back. However, the performance of standard fingerprint matching syste…
Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation
Shanu Kumar, Vinod Kumar Kurmi, Praphul Singh +1
Understanding unsupervised domain adaptation has been an important task that has been well explored. However, the wide variety of methods have not analyzed the role of a classifier…
Collaborative Learning to Generate Audio-Video Jointly
Vinod K Kurmi, Vipul Bajaj, Badri N Patro +3
There have been a number of techniques that have demonstrated the generation of multimedia data for one modality at a time using GANs, such as the ability to generate images, video…