Below you can find a complete chronological list of theses conducted by members of the LRS.
Unsupervised Adaptation to Distribution Shifts
Muhammad Jehanzeb Mirza
PhD Thesis, Graz University of Technology, Faculty of Computer Science and Biomedical Engineering, 2024
From Explanation to Optimization: Advancing LiDAR-based 3D Object Detection
David Schinagl
PhD Thesis, Graz University of Technology, Faculty of Computer Science and Biomedical Engineering, 2024
Learning from Unlabeled Videos
Wei Lin
PhD Thesis, Graz University of Technology, Faculty of Computer Science and Biomedical Engineering, 2024
Bridging the Gap: An Application-oriented Investigation of Domain Adaptation for 3D Object Detection in Automotive Point Cloud
Christoph Griesbacher
MSc Thesis, Graz University of Technology, Faculty of Computer Science and Biomedical Engineering, 2024
Domain Adaptation of 3D Object Detection on Custom Railway Point Cloud Data for Infrastructure Management
Stefan Arzberger
MSc Thesis, Graz University of Technology, Faculty of Computer Science and Biomedical Engineering, 2024
Online Test-Time-Adaptation for 3D Point Clouds
Andreas Schriebl
MSc Thesis, Graz University of Technology, Faculty of Computer Science and Biomedical Engineering, 2023
Predictive Perception and Scene Understanding on a Mobile Robot
Thomas Kernbauer
MSc Thesis, Graz University of Technology, Faculty of Computer Science and Biomedical Engineering, 2023
Detecting Forklift Actions from Moving Cameras
Alexander Prutsch
MSc Thesis, Graz University of Technology, Faculty of Computer Science and Biomedical Engineering, 2022
Efficient Ensembles for Deep Learning
Michael Opitz
PhD Thesis, Graz University of Technology, Faculty of Computer Science and Biomedical Engineering, 2021
Learning without Labeling for 3D Hand Pose Estimation
Georg Poier
PhD Thesis, Graz University of Technology, Faculty of Computer Science and Biomedical Engineering, 2020
Semi-Supervised Learning of Monocular 3D Hand Pose Estimation from Multi-View Images
Markus Mueller
MSc Thesis, Graz University of Technology, Faculty of Computer Science and Biomedical Engineering, 2020
Secured Face Authentication with Time-of-Flight on Android
Bernhard Feldhofer
MSc Thesis, Graz University of Technology, Faculty of Computer Science and Biomedical Engineering, 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
Contextual Cues for Causal Visual Tracking
Horst Possegger
PhD Thesis, Graz University of Technology, Faculty of Computer Science and Biomedical Engineering, 2018
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
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
Loss Minimization for Random Forests in Computer Vision
Samuel Schulter
PhD Thesis, Graz University of Technology, Faculty of Computer Science, 2015
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
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
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
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
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
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
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