Despite the remarkable success of existing methods for few-shot segmenta...
With the rapid increase of micro-video creators and viewers, how to make...
In this work, we present a fully self-supervised framework for semantic
...
Graph Neural Networks (GNNs) have received increasing attention for
repr...
The prevalence of relation networks in computer vision is in stark contr...
Interactions between users and videos are the major data source of perfo...
In this work, we propose a novel straightforward method for medical volu...
We consider graph representation learning in a self-supervised manner. G...
Many practical recommender systems provide item recommendation for diffe...
Conventional methods for object detection usually requires substantial a...