Most nighttime semantic segmentation studies are based on domain adaptat...
This paper discusses the results for the second edition of the Monocular...
This paper summarizes the results of the first Monocular Depth Estimatio...
Learning-based image dehazing methods are essential to assist autonomous...
Visual semantic segmentation aims at separating a visual sample into div...
Self-supervised monocular depth estimation is an attractive solution tha...
Monocular depth estimation is one of the fundamental tasks in environmen...
Previous unsupervised monocular depth estimation methods mainly focus on...
Semantic segmentation and depth completion are two challenging tasks in ...
Previous works have shown that adversarial learning can be used for
unsu...
With widespread applications of artificial intelligence (AI), the
capabi...
Depth information is important for autonomous systems to perceive
enviro...
The ability of inferring its own ego-motion, autonomous understanding th...
Monocular direct visual odometry (DVO) relies heavily on high-quality im...