13 citations · 20 across the 7 of their papers we have counts for
8 papers
Compositional Reward Models for Conditional Medical Image Generation
Aayush Kumar Tyagi, Prathosh A. P., Mausam
Acquiring high quality annotated medical image data is critical for training deep learning models; however, annotation is expensive, time consuming, and requires domain expertise.…
MANTA: Physics-Informed Generalized Underwater Object Tracking
Suhas Srinath, Hemang Jamadagni, Aditya Chadrasekar +1
Underwater object tracking is challenging due to wavelength dependent attenuation and scattering, which severely distort appearance across depths and water conditions. Existing tra…
UnDIVE: Generalized Underwater Video Enhancement Using Generative Priors
Suhas Srinath, Aditya Chandrasekar, Hemang Jamadagni +2
With the rise of marine exploration, underwater imaging has gained significant attention as a research topic. Underwater video enhancement has become crucial for real-time computer…
CoroNetGAN: Controlled Pruning of GANs via Hypernetworks
Aman Kumar, Khushboo Anand, Shubham Mandloi +4
Generative Adversarial Networks (GANs) have proven to exhibit remarkable performance and are widely used across many generative computer vision applications. However, the unprecede…
BoxCell: Leveraging SAM for Cell Segmentation with Box Supervision
Aayush Kumar Tyagi, Vaibhav Mishra, Prathosh A. P. +1
Cell segmentation in histopathological images is vital for diagnosis, and treatment of several diseases. Annotating data is tedious, and requires medical expertise, making it diffi…
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks
Piyush Tiwary, Atri Guha, Subhodip Panda +1
Owing to the growing concerns about privacy and regulatory compliance, it is desirable to regulate the output of generative models. To that end, the objective of this work is to pr…
Unsupervised Domain Adaptation Schemes for Building ASR in Low-resource Languages
Anoop C S, Prathosh A P, A G Ramakrishnan
Building an automatic speech recognition (ASR) system from scratch requires a large amount of annotated speech data, which is difficult to collect in many languages. However, there…
Effect of The Latent Structure on Clustering with GANs
Deepak Mishra, Aravind Jayendran, Prathosh A. P
Generative adversarial networks (GANs) have shown remarkable success in generation of data from natural data manifolds such as images. In several scenarios, it is desirable that ge…