Linear Filtering – Part II Selim Aksoy Department of Computer Engineering Bilkent University [email protected].
Intro CALTECH 256 Greg Griffin, Alex Holub and Pietro Perona.
Words & Pictures Clustering and Bag of Words Representations Many slides adapted from Svetlana Lazebnik, Fei-Fei Li, Rob Fergus, and Antonio Torralba.
Discriminative and generative methods for bags of features Zebra Non-zebra Many slides adapted from Fei-Fei Li, Rob Fergus, and Antonio Torralba.
Bag-of-features models Many slides adapted from Fei-Fei Li, Rob Fergus, and Antonio Torralba.
Beyond bags of features: Part-based models Many slides adapted from Fei-Fei Li, Rob Fergus, and Antonio Torralba.
Beyond bags of features: Adding spatial information Many slides adapted from Fei-Fei Li, Rob Fergus, and Antonio Torralba.
Statistics of Natural Image Categories Antonio Torralba and Aude Oliva. Network: Computation in Neural Systems, 14(2003) 391-412 Jonathan Huang ([email protected])
Generative learning methods for bags of features Model the probability of a bag of features given a class Many slides adapted from Fei-Fei Li, Rob Fergus,
Lecture 17: Parts-based models and context CS6670: Computer Vision Noah Snavely.
Extreme, Non-parametric Object Recognition 80 million tiny images (Torralba et al)
Face Collections 15-463: Rendering and Image Processing Alexei Efros.
