Past and Running Thesis and Projects

Master/Diplom

1. Exact Inference in Dense Graphical Models with Large Label Spaces
   Diplom Informatik, Stefan Haller, 10/2016
2. Comparison of Learned Inference Approaches for Image Restoration
   Master Informatik, Jakob Kruse, 09/2016
3. Improving 6D Pose Estimation from a Single RGB Frame by Hallucinating Depth
   Diplom Informatik, Eric Neumann, 02/2016
4. Deep Convolutional Neural Network for Object Coordinate Regression
   Diplom Medieninformatik, Manuel Paternoster, 01/2016
5. Semantic Segmentation of Topographic Plans
   Diplom Informatics, Daniel Schemala, 01/2016
6. Casting Light on Object Pose Estimation via Object Coordinate Regression
   Master Informatik, Stephan Ihrke, 06/2015
7. Enhanced depth estimation for “freehand stereo” using PatchMatch Stereo
   Master UASZ, Dominik Wetzel, 03/2016
8. Discriminative Learning for Particle Filters in Micro-Biological Applications
   Master Informatik, Friedemann Pochert, 09/2015

Bachelor/Grosser Beleg

1. Exact Inference in Graphical Models by Exploiting Partial Optimality and Shrinking Techniques
   Grosse
2. Comparison of Different Decision Strategies for Conditional Random Fields
   Grosser Beleg, Aljoscha Fernández, 11/2015
3. Statistical vs. Discriminative Learning of Convolutional Neural Networks for Semantic Labeling
   Grosser Beleg, Walter Forkel, Anatoly Zelenin, 10/2015
4. Shadow Detection
   Bachelor, Steffen Temme, 03/2015
5. Reduktion von Ausreißern bei Korrespondenzpunkten für die Stereorektifizierung
   Bachelor, Alexander Burkhardt, 10/2014

Lab Courses

1. Comparison of Different CNN-Architectures
   Darja Arsentjeva, 09/2015
2. Global Self Similarity
   Friedemann Pochert, 05/2015
3. Super-Resolution with Regression Tree Fields
   Jakob Kruse, 05/2015
4. Lighting Invariant Features for Decision Forest
   Xin Yang, 03/2015
5. OpenGM Matching und Stereo
   Walter Forkel, 10/2014