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RECHNER
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A Boundary-Fragment-Model for Object Detection
Active Visual Navigation Using Non-Metric Structure
Augmenting Images of Non-Rigid Scenes Using Point and Curve Correspondences
Class-Based Grouping in Perspective Images
Discovering Objects and their Localization in Images
Estimating Illumination Direction from Textured Images
Identifying Individuals in Video by Combining `Generative' and Discriminative Head Models
Image-Based Rendering Using Image-Based Priors
Joint Manifold Distance: A New Approach to Appearance Based Clustering
Learning Epipolar Geometry from Image Sequences
Learning Layered Motion Segmentation of Video
Learning Object Categories from Google's Image Search
Linear Auto-Calibration for Ground Plane Motion
Maintaining Multiple Motion Model Hypotheses Over Many Views to Recover Matching and Structure
Object Class Recognition by Unsupervised Scale-Invariant Learning
Quadric Reconstruction from Dual-Space Geometry
Robust Computation and Parameterization of Multiple View Relations
Robust Detection of Degenerate Configurations for the Fundamental Matrix
Super-Resolution from Multiple Views Using Learnt Image Models