1 Recognition by Association: ask not “What is it?” ask “What is it like?” Tomasz Malisiewicz and Alyosha Efros CMU CVPR’08.
Nicolas loeff lda
Python for Image Understanding: Deep Learning with Convolutional Neural Nets
elitemodellookworldfinalpresskit.pdf
Grammars in computer vision
1 Unsupervised Modeling and Recognition of Object Categories with Combination of Visual Contents and Geometric Similarity Links Gunhee Kim Christos Faloutsos.
Grammars in computer vision Presented by: Thomas Kollar Slides courtesy of Song-Chun Zhu.
Recognition Part I
Kerikeri High School
Semantic Kernel Forests from Multiple Taxonomies Sung Ju Hwang (University of Texas at Austin), Fei Sha (University of Southern California), and Kristen.
Represent images as Bag-of-features No spatial information , yet performance is good.