Rajhans Singh

Self-Supervised Backbone Framework for Diverse Agricultural Vision Tasks

Robust and Controllable Generative Models by Leveraging Physics-Based, Probabilistic, and Geometric Methods

Scene graph driven text-prompt generation for image inpainting

Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments

Polynomial implicit neural representations for large diverse datasets

Machine-learning-based algorithms for automated image segmentation techniques of transmission X-ray microscopy (TXM)

Generative adversarial networks for synthetic defect generation in assembly and test manufacturing

Halluci-net: Scene completion by exploiting object co-occurrence relationships