This page lists projects I have participated and corresponding result.
Superpixel-enhanced pairiwise Conditional Random Field for Semantic Segmentation
The first pairwise fully-connected CRF model that incorporate superpixel cues. Our model has better accuracy and speed compared with corresponding conventional superpixel-based higher-order CRFs.
ROI detection in large histopathological medical images.
Proposed and implemented a coarse-to-fine multi-level unsupervised segmentation algorithm for large images.
- “RAPID” Regions-of-Interest Detection In Big Histopathological Images Li Sulimowicz, Ishfaq Ahmad
Data Processing Basic Software.
Realized basic machine learning algorithm using C++, including linear regression, logistic regression, neural network, SVM, hierarchical clustering, apriori, k-means and so on. It has a MFC interface to set up parameters.