Below you can find a complete chronological list of theses conducted by members of the LRS.

Theses 2019

Multiple Object Tracking in the context of Autonomous Driving
Christian Fruhwirth-Reisinger
MSc Thesis, Graz University of Technology, Faculty of Computer Science and Biomedical Engineering, 2019

Theses 2018

Contextual Cues for Causal Visual Tracking
Horst Possegger
PhD Thesis, Graz University of Technology, Faculty of Computer Science and Biomedical Engineering, 2018

Theses 2017

Learning Activity Recognition from Weakly Labeled Data
Thomas Mauthner
PhD Thesis, Graz University of Technology, Faculty of Computer Science and Biomedical Engineering, 2017

Multiple Frame Integration for OCR on Mobile Devices
Georg Krispel
MSc Thesis, Graz University of Technology, Faculty of Computer Science and Biomedical Engineering, 2017

Theses 2016

Deep Learning for Pedestrian Detection in RGB-D Images from an Elevated Viewpoint
Christian Ertler
MSc Thesis, Graz University of Technology, Faculty of Computer Science, 2016

Generative Adversarial Networks - Properties & Applications
David Schinagl
MSc Thesis, Graz University of Technology, Faculty of Computer Science, 2016

Loss-Specific Training of Memory Efficient Random Forests for Super-Resolution
Alexander Grabner
MSc Thesis, Graz University of Technology, Faculty of Computer Science, 2016

Representation Learning with Random Forests for Image Classification
Michael Weißensteiner
MSc Thesis, Graz University of Technology, Faculty of Computer Science, 2016

Theses 2015

Loss Minimization for Random Forests in Computer Vision
Samuel Schulter
PhD Thesis, Graz University of Technology, Faculty of Computer Science, 2015

Theses 2014

Combining Descriptive and Discriminative Information for Person Re-Identification
Martin Hirzer
PhD Thesis, Graz University of Technology, Faculty of Computer Science, 2014

Object Detection based on Local Evidence
Paul Wohlhart
PhD Thesis, Graz University of Technology, Faculty of Computer Science, 2014

Efficient Hough Forests for Multi-Camera, Multi-Instance Object Detection and Tracking
Georg Poier
MSc Thesis, Graz University of Technology, Faculty of Computer Science, 2014

Indoor Activity Detection and Recognition for Automated Sport Games Analysis
Georg Waltner
MSc Thesis, Graz University of Technology, Faculty of Computer Science, 2014

Theses 2013

Tracking-by-Detection using Randomized Online Ensemble Methods
Martin Godec
PhD Thesis, Graz University of Technology, Faculty of Computer Science, 2013

Efficient Metric Learning for Real-World Face Recognition
Martin Koestinger
PhD Thesis, Graz University of Technology, Faculty of Computer Science, 2013 draft version

Scene Specific Object Detection and Tracking
Sabine Sternig
PhD Thesis, Graz University of Technology, Faculty of Computer Science, 2013

Exploiting 3D Information for Robust Real-Time Tracking of Multiple Objects in Complex Scenarios
Horst Possegger
MSc Thesis, Graz University of Technology, Faculty of Computer Science, 2013

Theses 2012

Video-Based Human Body Action Recognition for Games
Markus Murschitz
MSc Thesis, Graz University of Technology, Faculty of Computer Science, 2012

Learning from Internet Images for Object Categorization
Inayatullah Khan
PhD Thesis, Graz University of Technology, Faculty of Computer Science, 2012

Sparse Coding for Video-Based Analysis
Max Stricker
MSc Thesis, Graz University of Technology, Faculty of Computer Science, 2012

Theses 2011

Human Action Recognition using Multiple Instance Learning: A Comparative Study
Gerald Fritz
MSc Thesis, Graz University of Technology, Faculty of Computer Science, 2011

On-line Unsupervised Outlier Detection in Video Streams: A Quantitative Study
Georg Kummert
MSc Thesis, Graz University of Technology, Faculty of Computer Science, 2011

A Transformation Invariant Learning Approach for Detection and Tracking using Weakly-Related Videos
Samuel Schulter
MSc Thesis, Graz University of Technology, Faculty of Computer Science, 2011

Theses 2010

Centralized Information Fusion for Learning Object Detectors in Multi-Camera Networks
Armin Berger
MSc Thesis, Graz University of Technology, Faculty of Computer Science, 2010

Multi-Class Semi-Supervised and Online Boosting
Amir Saffari
PhD Thesis, Graz University of Technology, Faculty of Computer Science, 2010

Training On-line Boosting Classifiers on AsymmetricDatasets
Nebojsa Simic
MSc Thesis, Graz University of Technology, Faculty of Computer Science, 2010

Semi-Supervised Ensemble Methods for Computer Vision
Christian Leistner
PhD Thesis, Graz University of Technology, Faculty of Computer Science, 2010

Theses 2009

An Object Recognition System for planar Trademark and Logo Retrieval
Martin Koestinger
MSc Thesis, Graz University of Technology, Faculty of Computer Science, 2009

Object Detection from Aerial Images
Thuy Nguyen
PhD Thesis, Graz University of Technology, Faculty of Computer Science, 2009

Tracking on-line learned Natural Features for Mobile Augmented Reality
Paul Wohlhart
MSc Thesis, Graz University of Technology, Faculty of Computer Science, 2009

Theses 2008

Segmentation of Face Images
Martin Hirzer
MSc Thesis, Graz University of Technology, Faculty of Computer Science, 2008

Robust Object Tracking using Semi-Supervised On-line Boosting
Martin Godec
MSc Thesis, Graz University of Technology, Faculty of Computer Science, 2008

Online Learning from Multiple Cameras
Emile Richard
MSc Thesis, Graz University of Technology, Faculty of Computer Science, 2008

On-line Conservative Learning
Peter M. Roth
PhD Thesis, Graz University of Technology, Faculty of Computer Science, 2008

Robust Object Detection Using an On-line Learned Classifier Grid
Sabine Sternig
MSc Thesis, Graz University of Technology, Faculty of Computer Science, 2008