A curated list of awesome adversarial machine learning resources
created at Dec. 19, 2016, 2:30 a.m.
R-CNN: Regions with Convolutional Neural Network Features
created at March 13, 2014, 10:46 p.m.
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
created at Jan. 13, 2018, 10:27 p.m.
SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
created at Sept. 24, 2014, 2:54 p.m.
Object detection system using deformable part models (DPMs) and latent SVM (voc-release5). You may want to use the latest tarball on my website. The github code may include code changes that have not been tested as thoroughly and will not necessarily reproduce the results on the website.
created at March 11, 2012, 2:56 a.m.
Matlab codes that convert a RGBD image into a cad like model. This code is released as a part of my PhD dissertation.
created at Aug. 20, 2014, 1:56 a.m.
g2o: A General Framework for Graph Optimization
created at Jan. 12, 2012, 10:18 a.m.
Implementation of the superpixel algorithm called SEEDS [1].
created at Nov. 3, 2014, 2:08 p.m.
HDR Toolbox for processing High Dynamic Range (HDR) images into MATLAB and Octave
created at Aug. 30, 2012, 11:16 a.m.
C++ implementation of the Local Binary Pattern texture descriptors. This class integrates with OpenCV and FFTW3 to bring a complete and fast implementation of the popular descriptors: LBP u2, ri, riu2 & hf. The routines for calculating these descriptors are inspired by the Matlab code of the original authors.
created at Feb. 10, 2013, 8:43 a.m.
A curated list of papers & resources linked to 3D reconstruction from images.
created at Aug. 18, 2016, 12:22 p.m.
Curated list of computer graphics tutorials and resources
created at Dec. 22, 2015, 7:51 p.m.