47 citations · 48 across the 3 of their papers we have counts for
3 papers · 1 filter
Nighttime Dehaze-Enhancement
Harshan Baskar, Anirudh S Chakravarthy, Prateek Garg +7
In this paper, we introduce a new computer vision task called nighttime dehaze-enhancement. This task aims to jointly perform dehazing and lightness enhancement. Our task fundament…
Revisiting RCAN: Improved Training for Image Super-Resolution
Zudi Lin, Prateek Garg, Atmadeep Banerjee +6
Image super-resolution (SR) is a fast-moving field with novel architectures attracting the spotlight. However, most SR models were optimized with dated training strategies. In this…
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…