Welcome to the Computer Vision Lab Dresden
Computer Vision is a science that develops models and methods for understanding, analyzing, acquiring and processing images and generally high-dimensional structured data. Computer Vision is an inter-disciplinary field with strong links to Machine Learning, Optimization, Biology, Computer Graphics, and Human Computer Interaction. The mission of the Computer Vision Lab Dresden is to develop novel theoretical concepts which are practically relevant. We work on a broad range of application areas, from image matching, via semantic scene understanding, to Bio Imaging. On the theoretical side we focus on optimization and learning in probabilistic graphical models.
- CVLD organizes together with Rama Chellappa, Christian Heipke, Alper Yilmaz, Clément Mallet, Yury Vizilter the 2nd ICCV2015 Workshop: Multi-Sensor Fusion for Dynamic Scene Understanding (MSF 2015), …
- (1) Learning to compare a synthetic rendered image with a real observation Image for better 6D Object Pose estimation (2) …
- We are helping to organize the 1st International Workshop on Recovering 6D Object Pose In conjuction with ICCV 2015, Santiago. …
- CVLD organizes together with Stefan Roth and Peter Gehler a full day workshop at ICCV2015. Look here to find out …
- Our ICCV 2015 Pose Challenges – Articulated Object Challenge & Occluded Object Challenge – are online.
The Rich Scene Model (ERC Consolidator Grant)
Given a sequence of images the goal is to recover a rich, detailed representation of the 3D world, ranging from physical to semantical aspects. To achieve this we investigate new ways to combine feature learning, modelling, physical laws, and optimization in large-scale discrete-continuous-valued probabilistic graphical model.
Collaborators & Industrial Partners
We also have industrial collaborations with Daimler Research, Adobe (Seattle) and Basler AG.