Learning-based image compression methods have made great progress. Most ...
This paper proposes a novel method for estimating the set of plausible p...
Split learning of deep neural networks (SplitNN) has provided a promisin...
Given progressive developments and demands on clinical trials, accurate
...
Accurate forecast of a clinical trial enrollment timeline at the plannin...
Formation flight has a vast potential for aerial robot swarms in various...
Learning-based methods have effectively promoted the community of image
...
Intelligent Apps (iApps), equipped with in-App deep learning (DL) models...
Human-Object Interactions (HOI) detection, which aims to localize a huma...
While Human-Object Interaction(HOI) Detection has achieved tremendous
ad...
Retrieving an object from cluttered spaces suchas cupboards, refrigerato...
Human-Object Interaction (HOI) detection is a fundamental task in high-l...
Detecting oriented objects along with estimating their rotation informat...
In recent years, phishing scams have become the crime type with the larg...
With the development of Deep Neural Network (DNN), as well as the demand...
Triangle counting is a building block for a wide range of graph applicat...
ARM TrustZone is the de-facto hardware TEE implementation on mobile devi...
We propose an approach to online model adaptation and control in the
cha...
Natural images can be regarded as residing in a manifold that is embedde...
Discriminative correlation filter (DCF) based trackers have recently ach...
Discriminative correlation filters (DCF) have recently shown excellent
p...