Machine Learning as a Service (MLaaS) platforms have gained popularity d...
The recently proposed open-world object and open-set detection achieve a...
Line coverage is to cover linear infrastructure modeled as 1D segments b...
Lipreading refers to understanding and further translating the speech of...
Out-of-Distribution (OOD) detection, i.e., identifying whether an input ...
In most E-commerce platforms, whether the displayed items trigger the us...
Graph Convolution Networks (GCNs), with their efficient ability to captu...
Given the scarcity of anomalies in real-world applications, the majority...
In this paper, we introduce Masked Anomaly Detection (MAD), a general
se...
For the 2D laser-based tasks, e.g., people detection and people tracking...
The performance of monocular depth estimation generally depends on the a...
The high performance of RGB-D based road segmentation methods contrasts ...
Robot mobility is critical for mission success, especially in soft or
de...
Edges are the fundamental visual element for discovering tiny obstacles ...
The confluence of 5G and AI is transforming wireless networks to deliver...
Monocular depth prediction is an important task in scene understanding. ...
Federated learning enables mutually distrusting participants to
collabor...
Graph Convolution Network (GCN) has attracted significant attention and
...
In recent years, self-supervised methods for monocular depth estimation ...
Occlusion relationship reasoning demands closed contour to express the
o...
For tiny obstacle discovery in a monocular image, edge is a fundamental
...
Recent achievement in self-interference cancellation algorithms enables
...
Item-based Collaborative Filtering(short for ICF) has been widely adopte...
How to handle uncertainty in medical diagnosis is an open issue. In this...