02 Jun 2018
Machine Learning: A Probabilistic Perspective by Kevin P. Murphy is a comprehensive book covering many topics on machine learning. In this blog, I will try to summarize things that I find important. Preliminaries Probabilities Discrete Generative Models Gaussian Bayesian statistics EM Linear Models Linear regression Logistic regression GLM Latent Linear...
07 Dec 2017
This blog is about Multiple View Geometry in Computer Vision by Richard Hartley and Andrew Zisserman. I will mainly take some notes about the gold standard algorithms in this book. All figures are blatantly copied from the book. 3D Space 2D homography Camera models Compute Camera Matrix P Single View...
07 Aug 2017
This blog is about object detection deep learning papers. Note that Ross Girshick is on the authors list for all of them! R-CNN Fast R-CNN Faster R-CNN FPN Mask R-CNN Retinanet R-CNN R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich fea- ture hierarchies for accurate object detection and...