5 citations · 7 across the 6 of their papers we have counts for
6 papers
VLMs Win a Systematic Evaluation of Underwater Image Reconstruction
Sara Aghajanzadeh, Yingxue Wang, Ieva Bagdonaviciute +1
Underwater image restoration consists of recovering an image which looks like there is no water present. To date, evaluation has not been systematic. This paper describes a systema…
Zero-Shot Low Light Image Enhancement with Diffusion Prior
Joshua Cho, Sara Aghajanzadeh, Zhen Zhu +1
In this paper, we present a simple yet highly effective "free lunch" solution for low-light image enhancement (LLIE), which aims to restore low-light images as if acquired in well-…
Long Scale Error Control in Low Light Image and Video Enhancement Using Equivariance
Sara Aghajanzadeh, David Forsyth
Image frames obtained in darkness are special. Just multiplying by a constant doesn't restore the image. Shot noise, quantization effects and camera non-linearities mean that color…
Towards Robust Low Light Image Enhancement
Sara Aghajanzadeh, David Forsyth
In this paper, we study the problem of making brighter images from dark images found in the wild. The images are dark because they are taken in dim environments. They suffer from c…
Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras
Isha Ghodgaonkar, Abhinav Goel, Fischer Bordwell +18
COVID-19 has resulted in a worldwide pandemic, leading to "lockdown" policies and social distancing. The pandemic has profoundly changed the world. Traditional methods for observin…
See the World through Network Cameras
Yung-Hsiang Lu, George K. Thiruvathukal, Ahmed S. Kaseb +7
Millions of network cameras have been deployed worldwide. Real-time data from many network cameras can offer instant views of multiple locations with applications in public safety,…