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Institute for Robotics and Intelligent Machines (IRIM)
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GroupSAC: Efficient Consensus in the Presence of Groupings
Learning General Optical Flow Subspaces for Egomotion Estimation and Detection of Motion Anomalies
iSAM: Incremental Smoothing and Mapping
Inferring Temporal Order of Images From 3D Structure
Bayesian Surprise and Landmark Detection
Detecting and Matching Repeated Patterns for Automatic Geo-tagging in Urban Environments
Out-of-Core Bundle Adjustment for Large-Scale 3D Reconstruction
Flow Separation for Fast and Robust Stereo Odometry
Place Recognition-Based Fixed-Lag Smoothing for Environments with Unreliable GPS
Fast 3D Pose Estimation With Out-of-Sequence Measurements