rhaensch.de

Teaching

Lectures

  • Digital Image Processing. Technical University of Berlin. 2015 – present.
  • Automatic Image Analysis. Technical University of Berlin. WT 2017.
  • Informatik II - Programmierung C/C++. Türkisch-Deutsche Universität Istanbul. 2016 – 2017.

Seminars

  • Hot Topics in Computer Vision - Reproducibility in Science. Technical University of Berlin, ST 2021
  • Hot Topics in Computer Vision - Journal Club. Technical University of Berlin, 2012 – 2014

Supervised Projects

  • Scientific Process in Computer Vision: From Ideas to Publications. Technical University of Berlin, ST 2015 – today
  • A Unified Framework for Digital Image Processing in Computer Vision and Remote Sensing. Technical University of Berlin, ST 2015
  • Parallele Algorithmen auf GPUs. Technical University of Berlin, 2011 – 2012

Exercises / Course Work

  • Exercises to Digital Image Processing. Technical University of Berlin, 2011 – 2019.
  • Exercises to Automatic Image Analysis. Technical University of Berlin, 2010 – 2019.
  • Exercises to Photogrammetric Computer Vision. Technical University of Berlin, 2010 – 2018.

Supervised Theses

    2021

  • Abu-Shawish, M., Einfluss von Subsampling auf Random Forests zur semantischen Bildsegmentierung. Bachelor's thesis. Technical University of Berlin, 2021.
  • Äkkijyrkkä, Y., Probabilistic Region Merging for Image Segmentation. Master's thesis. Technical University of Berlin, 2021.
  • Neculai, N., GPU-enabled Random Ferns for the Semantic Segmentation of PolSAR Image. Master's thesis. Technical University of Berlin, 2021.
  • Cattoi, A., Self-supervised learning for semantic segmentation of PolSAR images via SAR-to-optical transcoding. Master's thesis. University of Trento, 2021.
  • Tawfek, N., Deep Image Prior for PolSAR Images. Bachelor's thesis. Technical University of Berlin, 2021.
  • Davis, T., Random forest similarity measures for the semantic analysis of remote sensing images. Master's thesis. Technical University of Berlin, 2021.

    • 2020

  • Wei, P., Random Ferns for Semantic Segmentation of PolSAR Images. Master's thesis. Technical University of Berlin, 2020.
  • Ionescu, E., Active Learning for Semantic Segmentation in PolSAR Images. Master's thesis. Technical University of Berlin, 2020.
  • Salman, A., Synergistic Effects in Convolutional Neural Networks. Master's thesis. Technical University of Berlin, 2020.

    • 2019

  • Richter, M., Video Captioning with Deep Learning. Master's thesis. Technical University of Berlin, 2019.
  • Han, D., Random Forests Induced Similarity Measures. Master's thesis. Technical University of Berlin, 2019.
  • Wang, H., Weakly Supervised Object Detection. Master's thesis. Technical University of Berlin, 2019.
  • Qi, Z., Decorrelated Random Forests. Master's thesis. Technical University of Berlin, 2019.
  • Janardhan, R., Random Forest Induced Similarity Measures for Image Template Matching. Master's thesis. Technical University of Berlin, 2019.
  • Tang, M., Semantic Classification of 3D Point Cloud by Random Forest-based Feature Learning. Master's thesis. Technical University of Berlin, 2019.
  • Wiesweg, F., Semantic Segmentation for PolSAR Images. Master's thesis. Technical University of Berlin, 2019.
  • Kossak, B., Local blood flow modeling and analysis from video sequences of human tissue. Master's thesis. Technical University of Berlin, 2019.

    • 2018

  • Worchel, M., Learning-based interest point operators for PolSAR images. Master's thesis. Technical University of Berlin, 2018.
  • Dawoud, K., On the Importance of Clustering within the Texton Framework. Bachelor's thesis. Technical University of Berlin, 2018.
  • Luo, J., Random Forest based Image Denoising. Master's thesis. Technical University of Berlin, 2018.
  • Guzman, D., Enhanced Feedback Enabled Cascaded Classification Models for Flexible Holistic Scene Understanding. Master's thesis. Technical University of Berlin, 2018.
  • Meller, M., On the Influence of Sampling Strategies for Classification of Remote Sensing Data. Bachelor's thesis. Technical University of Berlin, 2018.
  • Kuhnke, D., A Modular Framework for Image Analysis. Bachelor's thesis. Technical University of Berlin, 2018.
  • Zhao, Y., Advanced Node Split Tests in Random Forest. Bachelor's thesis. Technical University of Berlin, 2018.
  • Zhai, S., Efficient 1D probability estimation and its extension to the ND case. Bachelor's thesis. Technical University of Berlin, 2018.
  • Luft, J., Unsupervised Learning of Object Categories from Video. Master's thesis. Technical University of Berlin, 2018.
  • Gaebelein, M., Lokalisierung von Treibstofftabletten in CT-Scans von Airbag-Gasgeneratoren. Master's thesis. Technical University of Berlin, 2018.
  • Mao, Z., Mitosis Detection in Histological Images with Random Forests. Bachelor's thesis. Technical University of Berlin, 2018.
  • Papadaki, A., Predicting matchable keypoints using Random Forests. Master's thesis. Technical University of Berlin, 2018.
  • Völkel, J., Object Contour Prediction in Occupancy Gridmaps. Master's thesis. Technical University of Berlin, 2018.
  • Li, X., Evolutionary Ferns. Master's thesis. Technical University of Berlin, 2018.
  • Sakel, J., Deep Forest: Automatic Feature Learning by Stacked Random Forests. Master's thesis. Technical University of Berlin, 2018.
  • Potechius, H., 3D Rekonstruktion von Mineralien zur bildbasierten Suche in Datenbanken. Bachelor's thesis. Technical University of Berlin, 2018.
  • Sakel, J.A., Deep Forest: Automatic Feature Learning by Stacked Random Forests. Master's thesis. Technical University of Berlin, 2018.

    • 2017

  • Lin, I-F., Growing Random Forest with Diverse Trees through Evolution for Semantic Segmentation. Master's thesis. Technical University of Berlin, 2017.
  • Zheng, Z., Ensemble Learning for Image Segmentation. Master's thesis. Technical University of Berlin, 2017.
  • Keller, D., Bildverbesserung von hochauflösenden Thermobildern für Fahrerassistenzsysteme in Bahnanwendungen. Master's thesis. Technical University of Berlin, 2017.
  • Spieß, H., Vergleich ausgewählter Varianten der Random Forest Methode als Klassifikationsverfahren anhand relevanter Kriterien. Bachelor's thesis. Technical University of Berlin, 2017.
  • Fuhrmann, R., Der Einfluss von Bildvorverarbeitung auf die Ermittlung von Keypoints. Bachelor's thesis. Technical University of Berlin, 2017.
  • Bielova, O., Beyond photorealistic rendering: Modelling of realistic camera effects in synthetic benchmark datasets. Master's thesis. Technical University of Berlin, 2017.
  • Herdt, R., Complex-Valued Multilayer Perceptron for Object Recognition in Polarimetric SAR Images. Bachelor's thesis. Technical University of Berlin, 2017.
  • Eichelbaum, J., Icon Identification and Cooldown Detection in Video Games. Bachelor's thesis. Technical University of Berlin, 2017.
  • Magnussen, J., Where to look next? The prediction of saccadic eye movements. Bachelor's thesis. Technical University of Berlin, 2017.
  • Sellmann, S., Structons - 3D-Structure Descriptors for Mesh Segmentation. Master's thesis. Technical University of Berlin, 2017.
  • Huang, H., Unsupervised Implicit Shape Model for Object Detection. Master's thesis. Technical University of Berlin, 2017.
  • Xu, Q., Use of Semantic Features for Object Classification. Bachelor's thesis. Technical University of Berlin, 2017.
  • Hu, H., Segment-based Matching for Structure from Motion. Master's thesis. Technical University of Berlin, 2017.
  • Brandt, C., A Modular Framework for Image-based 3D Reconstruction. Master's thesis. Technical University of Berlin, 2017.
  • Coll, A., Segmentation of PolSAR images. Master's thesis. Technical University of Berlin, 2017.
  • Breit, O., MRI Segmentation Strategies for Computer Assisted Planning of Neurosurgical Procedures. Master's thesis. Technical University of Berlin, 2017.
  • Guo, N., Visualization of Decision Boundaries on the Example of Random Forests. Master's thesis. Technical University of Berlin, 2017.
  • Mbonbowo, C., Depth Map Estimation And Inference Using Monocular Cues. Master's thesis. Technical University of Berlin, 2017.

    • 2016

  • Wöllhaf, M., Leveraging the Spatial Label Structure for Semantic Image Labeling using Random Forests. Master's thesis. Technical University of Berlin, 2016.
  • Iwanczik, M., Kamerabasierte Detektion von Fußgängern mittels genetisch optimierter Hough Forests. Master's thesis. Technical University of Berlin, 2016.
  • Baer, S., GPU-Beschleunigung des Algorithmus Blind Deblurring Using Internal Patch Recurrence. Diploma thesis. Technical University of Berlin, 2016.
  • Forner, M., Weighted Pyramid Linking zur Reduktion von Speckle in polarimetrischen SAR-Daten. Diploma thesis. Technical University of Berlin, 2016.
  • Schneider, M., Bilddatenauswertung zur Koaleszenzdetektion in Hochgeschwindigkeitsaufnahmen. Master's thesis. Technical University of Berlin, 2016.
  • Park, E., Patch-based Textons for Feature Extraction from PolSAR images. Master's thesis. Technical University of Berlin, 2016.
  • Müller, A., Ferns in a Forest for Image Labeling. Master's thesis. Technical University of Berlin, 2016.
  • Brandt, L., Path-Planning for Structure from Motion under Position Constraints. Master's thesis. Technical University of Berlin, 2016.
  • Klemm, R., Adaptive Weighted Sample Consensus Applied to Fundamental Matrix Estimation. Master's thesis. Technical University of Berlin, 2016.

    • 2015

  • Benmekki, A., Die Ausnutzung von Vorwissen über die Form der Szene in Structure from Motion. Master's thesis. Technical University of Berlin, 2015.
  • Koller, Johannes., Joint usage of Points and Lines for Fundamental Matrix Estimation. Master's thesis. Technical University of Berlin, 2015.
  • Spitta, D., Genetic Randomized Trees for Object Classification. Master's thesis. Technical University of Berlin, 2015.
  • Gehrung, S., Convolutional neural networks applied to facial expression recognition. Bachelor's thesis. Technical University of Berlin, 2015.
  • Jawer, J., Detection of Erroneous Parts in Automatic 3D Reconstructions. Master's thesis. Technical University of Berlin, 2015.
  • Langenhagen, P., Unsupervised Detection of Salient Regions in Image Databases. Master's thesis. Technical University of Berlin, 2015.
  • Tu, X., Machine-Learning Based Detection of Corresponding Keypoints in Optical and SAR Images. Master's thesis. Technical University of Berlin, 2015.
  • Drude, I., Moderne Bündelausgleichsverfahren auf GPU Systemen. Master's thesis. Technical University of Berlin, 2015.
  • Zielonka, P., Detektion und Beschreibung markanter Punkte in optischen und SAR-Bildern: Gemeinsamkeiten und Unterschiede. Bachelor's thesis. Technical University of Berlin, 2015.
  • Ringler, L., Analyse, Interpretation und Bewertung von Random Forests durch Echtzeitvisualisierung in 3D. Diploma's thesis. Technical University of Berlin, 2015.
  • Jiang, D.,Comparison of Different Methods to Estimate the Relative Position of a Stereo Camera Pair. Bachelor's thesis. Technical University of Berlin, 2015.
  • Alves, L., On Illumination and Color Normalization of Digital Images. Bachelor's thesis. Technical University of Berlin, 2015.
  • Kendzierski, G., Bilddatenverarbeitung zur Auswertung von Hochgeschwindigkeitsaufnahmen der Koaleszenz. Bachelor's thesis. Technical University of Berlin, 2015.
  • Thieme, A., Detection, Description and Matching of Quadrilateral Shapes. Master's thesis. Technical University of Berlin, 2015.

    • 2014

  • Kaiser, S., RGBD Object Detection with Random Forests. Master's thesis. Technical University of Berlin, 2014.
  • De Lago, D., Comparison of Image Features for Monocular 3D Reconstruction. Master's thesis. Technical University of Berlin, 2014.
  • Ley, A., Structure from Motion with Deferred Feature Matching and Subset Bundle Adjustment. Master's thesis. Technical University of Berlin, 2014.
  • Krübler, F., Non-Local Means zum Entrauschen von Videos. Bachelor's thesis. Technical University of Berlin, 2014.
  • Mallwitz, S., Unsupervised Detection of Object Categories in Image Databases. Master's thesis. Technical University of Berlin, 2014.
  • Harte, H., Objekterkennung mit dem Microsoft-Kinect-Sensor. Master's thesis. Technical University of Berlin, 2014.
  • Siedel, T., Gesichtserkennung in Videos zur automatischen Erzeugung von Metadaten. Bachelor's thesis. Technical University of Berlin, 2014.
  • Stathopoulou, E., Prior Knowledge of Camera Motion in Path Estimation. Master's thesis. Technical University of Berlin, 2014.
  • Gutierrez, P., Path-Planning for Optimal Coverage under Security Constraints. Master's thesis. Technical University of Berlin, 2014.
  • Fanara, L., An Automated Evaluation System for Object Classification Methods of SAR Images. Master's thesis. Technical University of Berlin, 2014.
  • Chen, X., Machine Learning based Detection of Interest Points in Images. Master's thesis. Technical University of Berlin, 2014.

    • 2013

  • Weber, T., Fusion of Point Clouds acquired by multiple Microsoft Kinect Sensors. Master's thesis. Technical University of Berlin, 2013.
  • Rizwan, R., Random Ferns for Object Classification from Polarimetric SAR Images. Master's thesis. Technical University of Berlin, 2013.
  • Schneider, M., Dense Bag-of-Words zur Kategorisierung von Bildern. Bachelor's thesis. Technical University of Berlin, 2013.
  • Garcia, P., Active Learning for PolSAR image classification. Master's thesis. Technical University of Berlin, 2013.
  • Poyatos, I., Registration of histological images. Master's thesis. Technical University of Berlin, 2013.

    • 2012

  • Tran, T., Tree-based Image Retrieval using Interest Points. Diploma's thesis. Technical University of Berlin, 2012.
  • Ding, Y., Review of State-of-the-Art Interest Operators. Bachelor's thesis. Technical University of Berlin, 2012.
  • Duka, A., Visuelles Tracking von Markanten Punkten für 3D-Rekonstruktion aus Bildsequenzen. Master's thesis. Technical University of Berlin, 2012.
  • Pan, C., A Benchmark System for Classification of SAR Image Data. Master's thesis. Technical University of Berlin, 2012.
  • Soler Bataller, J., Object Detection with Kinect. Diploma's thesis. Technical University of Berlin, 2012.

    • 2011

  • Demmler, L., Person Detection in Images using Hough Forests. Diploma's thesis. Technical University of Berlin, 2011.
  • Klagsthan, M., Scene Categorization - a hierarchical approach. Master's thesis. Technical University of Berlin, 2011.

    • 2010

  • Rojahn, J., Merkmalsextraktion und Formanalyse in der automatischen Bildanalyse am Beispiel der Quantifizierung von Tropfendurchmessern in Rührkesselreaktoren zur ergebnisabhängigen Ansteuerung entsprechender Rührmechanik. Diploma's thesis. Technical University of Berlin, 2010.

    • 2009

  • Krause-Sparmann, O., On Illumination Normalization In Face Recognition. Diploma's thesis. Technical University of Berlin, 2009.