In this work, we propose a new transformer-based regularization to bette...
We propose and experimentally demonstrate a method of frequency hopping
...
Artificial intelligence (AI) has brought tremendous impacts on biomedica...
We propose an auction-based mechanism to improve the efficiency of low e...
Communications standards are designed via committees of humans holding
r...
The explanation for deep neural networks has drawn extensive attention i...
Program synthesis is the task to automatically generate programs based o...
Weakly-supervised object detection has recently attracted increasing
att...
We propose and experimentally demonstrate a bandwidth allocation method ...
Humans can easily learn new concepts from just a single exemplar, mainly...
We experimentally demonstrate a novel scheme of power loading based on
p...
Statistical body shape models are widely used in 3D pose estimation due ...
Object detection is a fundamental and challenging problem in aerial and
...