18 citations · 31 across the 6 of their papers we have counts for
7 papers
LVRNet: Lightweight Image Restoration for Aerial Images under Low Visibility
Esha Pahwa, Achleshwar Luthra, Pratik Narang
Learning to recover clear images from images having a combination of degrading factors is a challenging task. That being said, autonomous surveillance in low visibility conditions…
TabSynDex: A Universal Metric for Robust Evaluation of Synthetic Tabular Data
Vikram S Chundawat, Ayush K Tarun, Murari Mandal +2
Synthetic tabular data generation becomes crucial when real data is limited, expensive to collect, or simply cannot be used due to privacy concerns. However, producing good quality…
Learning to Enhance Visual Quality via Hyperspectral Domain Mapping
Harsh Sinha, Aditya Mehta, Murari Mandal +1
Deep learning based methods have achieved remarkable success in image restoration and enhancement, but most such methods rely on RGB input images. These methods fail to take into a…
Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement
Prateek Garg, Murari Mandal, Pratik Narang
Low light conditions in aerial images adversely affect the performance of several vision based applications. There is a need for methods that can efficiently remove the low light a…
Domain-Aware Unsupervised Hyperspectral Reconstruction for Aerial Image Dehazing
Aditya Mehta, Harsh Sinha, Murari Mandal +1
Haze removal in aerial images is a challenging problem due to considerable variation in spatial details and varying contrast. Changes in particulate matter density often lead to de…
NTIRE 2020 Challenge on NonHomogeneous Dehazing
Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu +49
This paper reviews the NTIRE 2020 Challenge on NonHomogeneous Dehazing of images (restoration of rich details in hazy image). We focus on the proposed solutions and their results e…