Search Results for author: Ishfaq Ahmad

Found 3 papers, 1 papers with code

Superpixel-enhanced Pairwise Conditional Random Field for Semantic Segmentation

1 code implementation29 May 2018 Li Sulimowicz, Ishfaq Ahmad, Alexander Aved

This paper proposes a superpixel-enhanced pairwise CRF framework that consists of the conventional pairwise as well as our proposed superpixel-enhanced pairwise (SP-Pairwise) potentials.

Semantic Segmentation

A Multi-Layer Approach to Superpixel-based Higher-order Conditional Random Field for Semantic Image Segmentation

no code implementations5 Apr 2018 Li Sulimowicz, Ishfaq Ahmad, Alexander Aved

Superpixel-based Higher-order Conditional random fields (SP-HO-CRFs) are known for their effectiveness in enforcing both short and long spatial contiguity for pixelwise labelling in computer vision.

Semantic Segmentation

"RAPID" Regions-of-Interest Detection In Big Histopathological Images

no code implementations7 Apr 2017 Li Sulimowicz, Ishfaq Ahmad

The sheer volume and size of histopathological images (e. g., 10^6 MPixel) underscores the need for faster and more accurate Regions-of-interest (ROI) detection algorithms.

Superpixels

Cannot find the paper you are looking for? You can Submit a new open access paper.