IEEE

Dynamic Spatio-Temporal Graph Convolutional Networks For Cardiac Motion Analysis

Abstract: We propose a dynamic spatio-temporal graph convolutional network (DST-GCN) approach to learn the left ventricular (LV) motion patterns from cardiac MR cine images. We represent the ...
IEEE

Video Saliency Detection via Graph Clustering With Motion Energy and Spatiotemporal Objectness

Abstract: We present a novel, robust estimation method to distinguish salient objects from complicated, dynamic backgrounds in videos. In this method, we propose a novel approach to model motion ...