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Pattern Recognition and Image Processing
Dept. of Computer Science
Faculty of Engineering
Computer Vision Research
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Deep Learning
Initially funded by ERC Starting Grant
"Videolearn - Video and 3D analysis for visual learning"
Motion Estimation and Optical Flow
3D Vision
Partially funded by EU Project TrimBot2020
A gardening robot for rose, hedge and topiary trimming
Image and Video Segmentation
Partially funded by DFG project BR 3815/5-1
"Object segmentation in videos by analysing point trajectories"
Funded Projects
EU Project: Trimbot - a gardening robot for rose, hedge and topiary trimming
Training Deep Networks with Rendered Data
CRC 1140 KIDGEM: Spatio-temporal analysis of confocal microscopic kidney data
Excellence cluster BIOSS: Deep learning for automated image analysis
Excellence cluster BrainLinks-BrainTools: NeuroBots
Deep-PTL: Life-long learning with flexible data modalities for automation
BW Stiftung: RatTrack - a motion capture setup for rats and neural recording
Sponsors
Our research has been sponsored by several companies.