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RECHNER
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A Boundary-Fragment-Model for Object Detection
Identifying Individuals in Video by Combining `Generative' and Discriminative Head Models
Learning Object Categories from Google's Image Search
Learning Layered Motion Segmentation of Video
Discovering Objects and their Localization in Images
Augmenting Images of Non-Rigid Scenes Using Point and Curve Correspondences
Video Data Mining Using Configurations of Viewpoint Invariant Regions
Estimating Illumination Direction from Textured Images
Video Google: A Text Retrieval Approach to Object Matching in Videos
Image-Based Rendering Using Image-Based Priors
Joint Manifold Distance: A New Approach to Appearance Based Clustering
Learning Epipolar Geometry from Image Sequences
Texture Classification: Are Filter Banks Necessary?
Object Class Recognition by Unsupervised Scale-Invariant Learning
Linear Auto-Calibration for Ground Plane Motion
Viewpoint Invariant Texture Matching and Wide Baseline Stereo
Super-Resolution from Multiple Views Using Learnt Image Models
Maintaining Multiple Motion Model Hypotheses Over Many Views to Recover Matching and Structure