Indoor positioning systems have received a lot of attention recently due...
The electrification of shared mobility has become popular across the glo...
Neural architecture search (NAS) has been successfully used to design
nu...
Rotational speed is one of the important metrics to be measured for
cali...
Synthetic data generation is a fundamental task for many data management...
Shared e-mobility services have been widely tested and piloted in cities...
Deep learning-based blind super-resolution (SR) methods have recently
ac...
Differentiable neural architecture search (NAS) has attracted significan...
Recent works in single-image perceptual super-resolution (SR) have
demon...
We propose a novel fast and robust 3D point clouds segmentation framewor...
Demand for smartwatches has taken off in recent years with new models wh...
Facial recognition is a key enabling component for emerging Internet of
...
Electric Vehicle (EV) sharing systems have recently experienced unpreced...
In this paper, we propose a novel approach, 3D-RecGAN++, which reconstru...
Since ancient Greece, handshaking has been commonly practiced between tw...
This paper studies monocular visual odometry (VO) problem. Most of exist...
In this paper, we propose a novel 3D-RecGAN approach, which reconstructs...
Machine learning techniques, namely convolutional neural networks (CNN) ...
In this paper we present an on-manifold sequence-to-sequence learning
ap...