58 citations · 79 across the 8 of their papers we have counts for
4 papers · 1 filter
SRTGAN: Triplet Loss based Generative Adversarial Network for Real-World Super-Resolution
Dhruv Patel, Abhinav Jain, Simran Bawkar +6
Many applications such as forensics, surveillance, satellite imaging, medical imaging, etc., demand High-Resolution (HR) images. However, obtaining an HR image is not always possib…
GDIP: Gated Differentiable Image Processing for Object-Detection in Adverse Conditions
Sanket Kalwar, Dhruv Patel, Aakash Aanegola +3
Detecting objects under adverse weather and lighting conditions is crucial for the safe and continuous operation of an autonomous vehicle, and remains an unsolved problem. We prese…
Variationally Mimetic Operator Networks
Dhruv Patel, Deep Ray, Michael R. A. Abdelmalik +2
In recent years operator networks have emerged as promising deep learning tools for approximating the solution to partial differential equations (PDEs). These networks map input fu…
The efficacy and generalizability of conditional GANs for posterior inference in physics-based inverse problems
Deep Ray, Harisankar Ramaswamy, Dhruv V. Patel +1
In this work, we train conditional Wasserstein generative adversarial networks to effectively sample from the posterior of physics-based Bayesian inference problems. The generator…