A desirable open world recognition (OWR) system requires performing thre...
Flood inundation forecast provides critical information for emergency
pl...
Machine learning algorithms have become ubiquitous in a number of
applic...
Accommodating all the weights on-chip for large-scale NNs remains a grea...
Zero-Shot Learning (ZSL), which aims at automatically recognizing unseen...
Deep Reinforcement Learning (DRL) has exhibited efficacy in resolving th...
Stereo image super-resolution aims to boost the performance of image
sup...
The recently emerging multi-mode plug-in hybrid electric vehicle (PHEV)
...
Face Anti-Spoofing (FAS) is recently studied under the continual learnin...
Sequential Recommendation is a widely studied paradigm for learning user...
Deep reinforcement learning (DRL) has been widely applied in autonomous
...
Deep learning-based algorithms, e.g., convolutional networks, have
signi...
Physiological signals are high-dimensional time series of great practica...
The widespread code reuse allows vulnerabilities to proliferate among a ...
Recognizing useful named entities plays a vital role in medical informat...
Deep learning-based recommender systems may lead to over-fitting when la...
Deep learning has brought significant breakthroughs in sequential
recomm...
This study presents a novel approach for modeling and simulating
human-v...
The future transportation system will be a multi-agent network where
con...
3D human motion capture from monocular RGB images respecting interaction...
Face anti-spoofing (FAS) and face forgery detection play vital roles in
...
Action understanding has evolved into the era of fine granularity, as mo...
In recent years, microservice architecture has become a popular architec...
Marker-less monocular 3D human motion capture (MoCap) with scene interac...
Face presentation attack detection (PAD) has been extensively studied by...
We describe a search-free resizing framework that can further improve th...
Network-aware cascade size prediction aims to predict the final reposted...
Event camera is a new type of sensor that is different from traditional
...
Staircase-like contours introduced to a video by quantization in flat ar...
Cooperative learning, that enables two or more data owners to jointly tr...
Face presentation attack detection (PAD) is an essential measure to prot...
Face Anti-Spoofing (FAS) is essential to secure face recognition systems...
As an emerging technique for confidential computing, trusted execution
e...
The analytical description of charts is an exciting and important resear...
In the online innovation market, the fund-raising performance of the sta...
The layers of convolutional neural networks (CNNs) can be used to alter ...
This paper presents BSTC (Baidu Speech Translation Corpus), a large-scal...
Crowd-sourcing has become a promising way to build a feature-based indoo...
VMAF is a machine learning based video quality assessment method, origin...
Assessment and reporting of skills is a central feature of many digital
...
How can multiple humans interact with multiple robots? The goal of our
r...
Transparency is a key factor in improving the performance of human-robot...
Existing representation learning methods in graph convolutional networks...
The development of rigorous quality assessment model relies on the colle...
With the increased demand on economy and efficiency of measurement
techn...
Mean squared error (MSE) and ℓ_p norms have largely dominated the
measur...
In a subjective experiment to evaluate the perceptual audiovisual qualit...
In the big data era, data labeling can be obtained through crowdsourcing...
Well begun is half done. In the crowdfunding market, the early fundraisi...
The use of ℓ_p(p=1,2) norms has largely dominated the measurement of
los...