Computer Vision and Learning Lab
The Computer Vision and Learning Lab works in the field of Computer Vision and Machine Learning. The Lab has three groups: 3D Computer Vision (Carsten Rother), Explainable Machine Learning (Ullrich Köthe), and Optimization for Machine Learning (Bogdan Savchynskyy). Carsten Rother is head of the Lab. We work on a large range of research topics, such as 3D reconstruction, Image synthesis, Invertible Neural Networks, Explainable and Trustworthy Machine Learning, Large-scale discrete optimization, assignment and tracking. We collaborate with researchers from many other disciplines, such as computational biology, medicine, astronomy, or environmental physics. We have also been the steppingstone for successful start-ups.
RESEARCH HIGHLIGHTS 
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.
Our Research
Combinatorial Optimization
focusing on Graphical Models, Diversity, and Large-Scale Optimization
Read moreScene Understanding
focusing on 6D Pose estimation, Dense Matching, and Instance Recognition
Read moreSelected Events
- Three papers accepted to ICCV ’21, on Graph Matching; Self-supervised Object Detection; and Camera Localization
Carsten Rother among 9 most influential CV scholars in Europe
Our excellent cluster “Structures” – where ML is used to find structures in data and the physical world – got funded by DFG- Three papers accepted to ACCV on: Geometric Image Synthesis; Deep Object Co-segmentation; 6D Object Pose Estimation
Check out our latest Camera Localization results
Collaborators & Industrial Partners
Over the last years we have been collaborating with various scientific partners – such as MPI Tübingen, Oxford University, University College London, Imperial College London, ETH Zürich, Skoltech Moscow, Stanford University, TU Darmstadt, Prague University, University of Hannover, IST Vienna, TU Vienna, MPI Saarbrücken, TU Dresden, MPI-CBG and CSBD Dresden, and more.
We have also been collaborating with various industrial research labs - such as Microsoft Research Cambridge, Bejing and Redmond, Daimler, and Facebook Artificial Intelligence Researchers (FAIR).
We are part of the Heidelberg HCI 3rd phase, where we collaborate closely with Bosch.
We have also been collaborating with various industrial research labs - such as Microsoft Research Cambridge, Bejing and Redmond, Daimler, and Facebook Artificial Intelligence Researchers (FAIR).
We are part of the Heidelberg HCI 3rd phase, where we collaborate closely with Bosch.















