This paper presents an unsupervised approach that leverages raw aerial v...
Although deep convolutional neural networks (CNNs) have demonstrated
rem...
Graph based clustering is one of the major clustering methods. Most of i...
This paper focuses on semantic task planning, i.e., predicting a sequenc...
In this paper, we propose a pose grammar to tackle the problem of 3D hum...
Tracking humans that are interacting with the other subjects or environm...
Mobile landmark search (MLS) recently receives increasing attention for ...
This paper addresses the problem of geometric scene parsing, i.e.
simult...
This paper aims at a newly raising task in visual surveillance:
re-ident...
Detecting objects becomes difficult when we need to deal with large shap...