75 citations · 376 across the 56 of their papers we have counts for
4 papers · 1 filter
Training Deep Networks with Structured Layers by Matrix Backpropagation
Catalin Ionescu, Orestis Vantzos, Cristian Sminchisescu
Deep neural network architectures have recently produced excellent results in a variety of areas in artificial intelligence and visual recognition, well surpassing traditional shal…
A Parallel Framework for Parametric Maximum Flow Problems in Image Segmentation
Vlad Olaru, Mihai Florea, Cristian Sminchisescu
This paper presents a framework that supports the implementation of parallel solutions for the widespread parametric maximum flow computational routines used in image segmentation…
A Framework for Symmetric Part Detection in Cluttered Scenes
Tom Lee, Sanja Fidler, Alex Levinshtein +2
The role of symmetry in computer vision has waxed and waned in importance during the evolution of the field from its earliest days. At first figuring prominently in support of bott…
Parametric Image Segmentation of Humans with Structural Shape Priors
Alin-Ionut Popa, Cristian Sminchisescu
The figure-ground segmentation of humans in images captured in natural environments is an outstanding open problem due to the presence of complex backgrounds, articulation, varying…