Underwater computer vision has attracted increasing attention in the research community
due to the recent advances in underwater platforms such as of rovers, gliders, autonomous …

Image-to-image translation (I2I) aims to transfer images from a source domain to a target
domain while preserving the content representations. I2I has drawn increasing attention and …

The underwater environment is gaining importance due to its role in enhancing the economy
of the world and improving relationships between different countries across the world. There …

The insufficient number of annotated thermal infrared (TIR) image datasets not only hinders
TIR image-based deep learning networks to have comparable performances to that of RGB …

Underwater imaging is one of the hot areas of research and is receiving considerable
attention from the research community due to the challenges involved. Underwater images …

Underwater images are usually covered with a blue–greenish colour cast, making them
distorted, blurry or low in contrast. This phenomenon occurs due to the light attenuation …

Aerial visible-to-infrared image translation aims to transfer aerial visible images to their
corresponding infrared images, which can effectively generate the infrared images of …

This paper proposes a sonar-based underwater object classification method for autonomous
underwater vehicles (AUVs) by reconstructing an object's three-dimensional (3D) geometry …

Place recognition PR is a fundamental task in autonomous robot systems that is still actively
being researched. In recent years, CNN-based place recognition methods have surpassed …

Images acquired during underwater activities suffer from environmental properties of the
water, such as turbidity and light attenuation. These phenomena cause color distortion …