The purpose of this study is to propose a new index to measure and refle...
Implementing fully automatic unmanned surface vehicles (USVs) monitoring...
We demonstrate ViDA-MAN, a digital-human agent for multi-modal interacti...
Deep person generation has attracted extensive research attention due to...
High hardware cost and high power consumption of massive multiple-input ...
With the increasing popularity of calcium imaging data in neuroscience
r...
We propose a ridge-penalized adaptive Mantel test (AdaMant) for evaluati...
Optical imaging of genetically encoded calcium indicators is a powerful ...
We propose a two-stage approach Spec PC-CP to identify change points in
...
Despite the superb performance of State-Of-The-Art (SOTA) DNNs, the
incr...
Despite great progress in supervised semantic segmentation,a large
perfo...
The stunning progress in face manipulation methods has made it possible ...
Packet classification according to multi-field ruleset is a key componen...
To severely weaken the eavesdropper's ability to intercept confidential
...
Training a semantic segmentation model requires a large amount of pixel-...
To achieve a better effect of interference on eavesdropper with an enhan...
Selfie and cartoon are two popular artistic forms that are widely presen...
In secure precise directional modulation (DM) networks, two practical
ra...
Directional modulation (DM), as an efficient secure transmission way, of...
Weakly supervised semantic segmentation receives much research attention...
Mantel's test (MT) for association is conducted by testing the linear
re...
Training a Fully Convolutional Network (FCN) for semantic segmentation
r...
Semantic image segmentation is a fundamental task in image understanding...