14 citations · 14 across the 3 of their papers we have counts for
4 papers
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…
GAN-based Priors for Quantifying Uncertainty
Dhruv V. Patel, Assad A. Oberai
Bayesian inference is used extensively to quantify the uncertainty in an inferred field given the measurement of a related field when the two are linked by a mathematical model. De…
Bayesian Inference with Generative Adversarial Network Priors
Dhruv Patel, Assad A Oberai
Bayesian inference is used extensively to infer and to quantify the uncertainty in a field of interest from a measurement of a related field when the two are linked by a physical m…