Domain generalized semantic segmentation (DGSS) is a critical yet challe...
Most nighttime semantic segmentation studies are based on domain adaptat...
Objective: The artificial pancreas (AP) has shown promising potential in...
Domain generalized semantic segmentation (DGSS) is an essential but high...
This paper discusses the results for the second edition of the Monocular...
The task of 3D semantic scene graph (3DSSG) prediction in the point clou...
Antimicrobial resistance is one of the biggest health problem, especiall...
In recent years, artificial intelligence has played an important role on...
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...
In cooperative multi-agent reinforcement learning, centralized training ...
Self-supervised monocular depth estimation is an attractive solution tha...
Deriving LoD2 models from orthophoto and digital surface models (DSM)
re...
The ability to perform aggressive movements, which are called aggressive...
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...
In leader-follower multi-agent networks with switching topologies, choos...
Monocular direct visual odometry (DVO) relies heavily on high-quality im...
Robust clustering of high-dimensional data is an important topic because...
Extracting valuable facts or informative summaries from multi-dimensiona...
We explore the possibility of discovering extreme voting patterns in the...
In the fashion industry, order scheduling focuses on the assignment of
p...
Differential evolution (DE) is a simple but powerful evolutionary algori...
We propose a mixture of latent trait models with common slope parameters...