Making causal inferences from observational studies can be challenging w...
Causal inference in observational studies can be challenging when confou...
This paper presents a learning framework to estimate an agent capability...
This work presents a framework for multi-robot tour guidance in a partia...
This paper develops a stochastic programming framework for multi-agent
s...
Visual localization for planar moving robot is important to various indo...
For robot swarms operating on complex missions in an uncertain environme...
Single image super-resolution (SISR) is an image processing task which
o...
Single image super-resolution (SISR) is an image processing task which
o...
Map based visual inertial localization is a crucial step to reduce the d...
Computer vision has achieved impressive progress in recent years. Meanwh...
LiDAR-camera calibration is a precondition for many heterogeneous system...
We propose that intelligently combining models from the domains of Artif...
Visual localization has attracted considerable attention due to its low-...
We proposed a TV priori information guided deep learning method for sing...
State-of-the-art forward facing monocular visual-inertial odometry algor...
The Low-Power Image Recognition Challenge (LPIRC,
https://rebootingcompu...
This work presents a 3-D wavelet video coding algorithm. By analyzing th...
The salt and pepper noise brings a significant challenge to image denois...
The salt and pepper noise, especially the one with extremely high percen...
In this paper, an image denoising algorithm is proposed for salt and pep...
Millions of network cameras are streaming real-time multimedia content
(...