Learning-based edge detection usually suffers from predicting thick edge...
Masked graph autoencoder (MGAE) has emerged as a promising self-supervis...
We study the problem of reconstructing 3D feature curves of an object fr...
With the development of various applications, such as social networks an...
Mining attacks aim to gain an unfair share of extra rewards in the block...
Learning-based edge detection has hereunto been strongly supervised with...
Exceptions are a commodity hardware functionality which is central to
mu...
Video abnormal event detection (VAD) is a vital semi-supervised task tha...
Video anomaly detection (VAD) has constantly been a vital topic in video...
Deep clustering is a fundamental yet challenging task for data analysis....
Multi-view spectral clustering can effectively reveal the intrinsic clus...
As a vital topic in media content interpretation, video anomaly detectio...
Driven by the visions of Internet of Things and 5G communications, the e...
Data center networks need to provide low latency, especially at the tail...