Grid visualizations are widely used in many applications to visually exp...
The dynamic request patterns of machine learning (ML) inference workload...
Mitosis nuclei count is one of the important indicators for the patholog...
In this paper, we propose Neural Points, a novel point cloud
representat...
Zero-shot action recognition can recognize samples of unseen classes tha...
Hashtag data are common and easy to acquire. Thus, they are widely used ...
This paper focuses on semantic task planning, i.e., predicting a sequenc...
Object categories inherently form a hierarchy with different levels of
c...
Humans can naturally understand an image in depth with the aid of rich
k...
In this paper, we aim at tackling the problem of crowd counting in extre...
Fabric image retrieval is beneficial to many applications including clot...
Accelerating deep neural networks (DNNs) has been attracting increasing
...
To avoid the exhaustive search over locations and scales, current
state-...
Salient object detection increasingly receives attention as an important...