In this paper, we propose Global Context Convolutional Network (GCCN) fo...
We propose a novel approach for visual representation learning called
Si...
Existing learning models often utilise CT-scan images to predict lung
di...
Spatiotemporal data mining (STDM) discovers useful patterns from the dyn...
We propose an uncertainty-aware service approach to provide drone-based
...
We propose grid2vec, a novel approach for image representation learning
...
We present DroTrack, a high-speed visual single-object tracking framewor...