CIS 6930
Advanced Topics in Computer Vision

This course is a reading course, and our aim is to survey recent advances in the following two areas of computer vision research:
object category recognition and multi-view geometry reconstruction.


Papers on Recognition

(8/29) Distinctive Image Features from Scale-Invariant Keypoints
(9/5) Object Class Recognition by Unsupervised Scale-Invariant Learning
(8/29) Video Google: a Text Retrieval Approach to Object Matching in Videos
(9/5) Learning Object Categories from Google's Image Search
(9/17) Adapted Vocabularies for Generic Visual Categorization
(9/17) Discovering Objects and Their Location in Images
(9/26) Object Retrieval with Large Vocabularies and Fast Spatial Matching
(9/24) Scalable Recognition with a Vocabulary Tree ( Relevant Reference)
(9/28) Beyond Bag of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
(10/3) Multiple Object Class Detection with a Generative Model
(10/8) Shape Matching and Object Recognition using Low Distortion Correspondences
(10/10) Contour-based learning for object detection
(10/10) A boundary-Fragment-Model for Object Detection
(10/17) Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features

Data for Project 1

Data for object recognition
Data for image retrieval