Finding the optimal parameterization for fitting a given sequence of data points with a parametric curve is a challenging problem that is equivalent to solving a highly non-linear system of equations. In this work, we propose the use ...

We propose a novel approach to image segmentation based on combining implicit spline representations with deep convolutional neural networks. This is done by predicting the control points of a bivariate spline function whose zero-set ...

Human action is a spatio-temporal motion sequence where strong inter-dependencies between the spatial geometry and temporal dynamics of motion exist. However, in existing literature for human action recognition from a video, there is a ...