19 citations · 21 across the 4 of their papers we have counts for
4 papers
Better Image Segmentation by Exploiting Dense Semantic Predictions
Qiyang Zhao, Lewis D Griffin
It is well accepted that image segmentation can benefit from utilizing multilevel cues. The paper focuses on utilizing the FCNN-based dense semantic predictions in the bottom-up im…
Suppressing the Unusual: towards Robust CNNs using Symmetric Activation Functions
Qiyang Zhao, Lewis D Griffin
Many deep Convolutional Neural Networks (CNN) make incorrect predictions on adversarial samples obtained by imperceptible perturbations of clean samples. We hypothesize that this i…
A Simple Unsupervised Color Image Segmentation Method based on MRF-MAP
Qiyang Zhao
Color image segmentation is an important topic in the image processing field. MRF-MAP is often adopted in the unsupervised segmentation methods, but their performance are far behin…
NegCut: Automatic Image Segmentation based on MRF-MAP
Zhao Qiyang
Solving the Maximum a Posteriori on Markov Random Field, MRF-MAP, is a prevailing method in recent interactive image segmentation tools. Although mathematically explicit in its com…