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 is involved in the organization of three workshops: i) Inverse Rendering; ii) Object Pose Estimation; (iii) Multi-Sensor Fusion. (see …
- Full day tutorial at ICCV 2015. Organized by Bogdan Savchynskyy (CVLD Dresden); Thorsten Beier (HCI Heidelberg); Jörg Kappes (HCI Heidelberg); …
- Two papers accepted to MICCAI 2015 (see publication). In the first work, jointly with Gene Myers team, we demonstrate the …
- The Dataset from our 2014 ACCV paper is online. You can Download it here.
- Congratulation Alex Krull, Eric Brachmann, and Frank Michel.
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.