Neural Machine Translation (NMT) models have become successful, but thei...
Movie highlights stand out of the screenplay for efficient browsing and ...
This paper introduces a novel 32-bit microprocessor, based on the RISC-V...
Text-based person retrieval aims to find the query person based on a tex...
The spread of information through social media platforms can create
envi...
A long-term video, such as a movie or TV show, is composed of various sc...
Convolutional neural networks (CNNs) have achieved great success in skin...
Automatic affective recognition has been an important research topic in ...
Generating high-fidelity talking head video by fitting with the input au...
The generalization capability of machine learning models, which refers t...
The problem of deforming an artist-drawn caricature according to a given...
Facial expression retargeting from humans to virtual characters is a use...
Convolutional neural networks (CNNs) have achieved the state-of-the-art
...
As the advancement of deep learning (DL), the Internet of Things and clo...
Robust loss minimization is an important strategy for handling robust
le...
Face recognition has advanced considerably with the availability of
larg...
In this paper, we present a novel strategy to design disentangled 3D fac...
Click Through Rate(CTR) prediction is vital for online advertising syste...