codes-kzhan's repositories
BlindFuse
Blind Model-Based Fusion of Multi-band and Panchromatic Images
deeplab-public
Working copy of Deeplab repository
fmi
Feature Mutual Information (FMI) - non-reference image fusion metric
FUMI
Q. Wei, J. M. Bioucas-Dias, N. Dobigeon, J-Y. Tourneret, M. Chen and S. Godsill, ''Multi-band image fusion based on spectral unmixing,'' IEEE Trans. Geosci. and Remote Sens., to appear.
graph-based-image-segmentation
Implementation of efficient graph-based image segmentation as proposed by Felzenswalb and Huttenlocher [1] that can be used to generate oversegmentations.
HSI-Classification
A number of tools for Hyperspectral image classification.
interval_gradient
Matlab implementation of "Structure-Texture Decomposition of Images with Interval Gradient"
intrinsic_texture
Matlab & mex implementation of "Intrinsic Image Decomposition Using Structure-Texture Separation and Surface Normals", ECCV 2014
L0-SSC
CUDA C++/MATLAB code for L0 Sparse Subspace Clustering
latex-resources
Collection of LaTeX resources and examples.
libsdca
Multiclass classification based on stochastic dual coordinate ascent
mcg
Multiscale Combinatorial Grouping - Object Proposals and Segmentation
Objectness
BING Objectness proposal estimator linux/mac/windows version implementation, runs at 1000 FPS. More in http://mmcheng.net/bing/ and also http://www.robots.ox.ac.uk/~szheng/DepthProposals.html
PMoEP
This is the implementation of "Low rank matrix factorization under general mixture noise distributions."
Rank-based-Pooling-for-Deep-Convolutional-Neural-Networks
The codes for "Rank-based Pooling for Deep Convolutional Neural Networks."
safiltering
Matlab implementation of "Scale-aware Structure-Preserving Texture Filtering"
SSC-using-ADMM
Sparce Subspace Clustering (SSC) is a subspace clustering algorithm that uses sparse vector representation, convex optimization, and spectral clustering.
superpixels-revisited
Library containing 7 state-of-the-art superpixel algorithms with a total of 9 implementations used for evaluation purposes in [1] utilizing an extended version of the Berkeley Segmentation Benchmark.
traffic-signs-tensorflow
Traffic Signs Detection and Recognition with Tensorflow
wgcca
Python Implementation of Weighted Generalized Canonical Correlation Analysis