This paper introduces a High-Resolution Graph Convolutional Network (HR-GCN) designed to address the challenges of 2D-3D whole-body pose estimation. The proposed HR-GCN leverages the structural ...

To solve the Graph Coloring Problem using backtracking, assigning colors to the vertices of a graph such that no two adjacent vertices share the same color while minimizing the number of colors used.

By default, we render 1D and 2D visualizations of the graph with odgi ... The manifold nature of typical variation graphs means that they are very likely to look linear locally. By running a ...

Pattern recognition and computer vision and their applications have experienced enormous progress in research and development over the last two decades. This comprehensive handbook, with chapters by ...

One of the key strengths of Photomath is its ability to recognize handwritten equations ... comprehensive coverage of algebra topics, including linear equations, quadratic equations, inequalities, ...