Building a multi-modality multi-task neural network toward accurate and
...
A realistic long-term microscopic traffic simulator is necessary for
und...
Imitation learning holds great promise for addressing the complex task o...
Acquiring driving policies that can transfer to unseen environments is
c...
Recently, several works achieve end-to-end visual servoing (VS) for robo...
We present an end-to-end Reinforcement Learning(RL) framework for roboti...
The Dirichlet Process Mixture Model (DPMM) is a Bayesian non-parametric
...
The growing literature of Federated Learning (FL) has recently inspired
...
One of the challenges in vision-based driving trajectory generation is
d...
We present KOVIS, a novel learning-based, calibration-free visual servoi...
We present a multi-UAV Coverage Path Planning (CPP) framework for the
in...
Facial Expressions Recognition(FER) on low-resolution images is necessar...
There is a strong demand for covering a large area autonomously by multi...
6D object pose estimation is widely applied in robotic tasks such as gra...
Planning the path to gather the surface information of the target object...
Consider a set of categorical variables P where at least one,
denoted by...