Masters student at University of Exeter

github

Sushen Yadav • Peerlist

Currently Added physics to FCN , ConvLSTM. Working on better methods and Transformer Architecture

Physics informed machine learning for solving spatiotemporal

The modern era of underwater AR development
is constricted by the availability of efficient dehazing methods.
Dehazing makes the AR marker detection precise and stable.
In this paper we look at dehazing methods DCP,BCP,UICCS
and evaluate their applicability in underwater AR scenarios. We
propose a novel Fusion method combining the characteristics
of BCP and DCP for better underwater dehazing.We have
utilised different tools vis a vis RMSE,SSIM,UIQI,UIQM,PSNR
for analysing the employability of the dehazing methods in
underwater AR marker detection.

Underwater Dehazing using a novel emprical method for better

Vector Databases

Unix

PyTorch

Keras

Python

Linux

Software Development

SQL Server

C++ CPP CPlusPlus