In this paper, we present a novel convex method for the graph-structured sparse recovery. While various structured sparsities can be represented as the graph-structured sparsity, graph- structured ...

We propose the Graph Refinement with Regression Prior (GRRP) framework for 3D face reconstruction. The GRRP framework is composed of two component networks, namely the 3D Face Regressor and the ...

3D point cloud object detection in surface models via Graph Convolutional Networks (GCNs) and Voting module Future maritime operations will require mapping and describing the seafloor at high ...