13 citations · 18 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
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…