Semester	3	4	5	6	7	8	9	10
Lectures	Optimierung			Image Processing and Computer Graphics	Computer Vision	Statistical Pattern Recognition
Seminars				Seminar Computer Vision	Seminar Computer Vision	Seminar Computer Vision	Seminar Computer Vision
Projects, lab courses				Bachelor Thesis		Deep Learning	Master Project	Master Thesis

Computer Vision is part of the Artificial Intelligence specialization in the Master program in Computer Science.

Summer Semester 2023

Winter Semester 2022/2023

Finished Student Projects

Amadeus Hovekamp: Efficient Power Grid Mapping Using Top-Down Imagery and Computer Vision (Master thesis, 2023)
Louis Ngo: Self-Supervised Learning for Medical Image Analysis (Master project, 2023)
Mehran Ahkami: Investigating the Impact of the Stem on Model Robustness (Master thesis, 2023)
Arian Mousakhan: Anomaly Detection via Denoising Diffusion Models (Master thesis, 2023)
Stanley George: DeepCrackInspect: Unsupervised Detection Of Micro-Cracks Under UV Light Using Deep Learning (Master thesis, 2023)
Giulio Neusch-Frediani: Data efficient instance segmentation for industrial vision systems (Master thesis, 2023)
Sai Bharath Chandra Gutha: 3D Object Detection for Mobile Robotic Applications (Master thesis, 2023)
Youssef Nassar: Improving Pedestrian Detection by using Domain Adaptation between Real and Simulated Data (Master thesis, 2023)
Simon Traub: Industrial Anomaly Detection on an Embedded Device (Master thesis, 2023)
Prathamesh Satish Deshpande: Hardware-aware Optimization of Machine Learning-based Processing of Time-of-Flight Sensor Data (Master thesis, 2023)
Furkan Kara: Estimation of building properties using deep learning: Building height, roof type, window count (Master project, 2023)
Abdul Rahman ElKebbi: Photovoltaic Solar Panels and Forest Segmentation from Aerial Satellite Images (Master project, 2023)
Gregor Stief: Object reconstruction from a top bin view (Master project, 2023)
Tom Wellinger: Evaluation and Fusion of Local and Global Shape Priors in Single-view 3D Reconstruction (Master project, 2023)
Tjark Behrens: Analysis of Occupancy Ratios for Implicit Functions in Single-View 3D Reconstruction (Bachelor thesis, 2023)
Julia Mertesdorf: Self-Supervised Video Perception (Master thesis, 2023)
Salem Ayadi: Indoor Visual Localization in Spatial World Models (Master thesis, 2023)
Johannes Ruf: Hierachical feature-based Video Question Answering (Master thesis, 2023)
Narges Dastanpour Hosseinabadi: Segmentation and Classification on Automotive Radar Data (Master thesis, 2023)
Muhammad Irfan: Unsupervised Domain Adaptation for Object Detection Using Faster R-CNN (Master thesis, 2023)
Lintao Fang: Fish Motion Approximation using ML-based Relative Depth Estimation and Object Tracking (Master thesis, 2023)
Luzia Rabald: Analyse und Anwendung von Feature Points zur Realisierung eines Augmented Reality Remote Supports (Bachelor thesis, 2023)
Hssan Driss: Improving pixel-wise out-of-distribution detection with subjective logic and variational approximations (Master thesis, 2023)
Hakan Sarp Aydemir: Semantic Segmentation and Object Tracking for Elongated Macrophage Cells (Master thesis, 2022)
Anna Khatyreva: Unsupervised Industrial Anomaly Detection Using Multiple Perspectives of a Free-Falling Object (Master thesis, 2022)
Johannes Dienert: Imitating the dynamics of nanoscopic myocardial cell structures with GANs (Master thesis, 2022)
Robin Pröllochs: Explicit Retrieval Priors for Single View 3D Reconstruction (Master thesis, 2022)
Niket Ahuja: Analysis of Neural Network Architectures for Continual Learning (Master thesis, 2022)
Simon Gölzhäuser: ANNs for Energy Efficient Heat Pump Control (Master thesis, 2022)
Abhijeet Nayak: Skill Transfer by Recombining Demonstration Trajectories (Master project, 2022)
Mohamed Ibrahim: Combining Deep Learning with Ecology: Bee Detection with YOLOv5 (Master project, 2022)
Arian Mousakhan: Unsupervised Anomaly Detection and Localization for Microprocessors (Master project, 2022)
Sai Bharath Chandra Gutha: Fine grained Image classification with Concept Transformers (Master project, 2022)
Tushar Maske: Unsupervised Depth Estimation using Monocular Camera Images (Master thesis, 2022)
Mariana Ferrandon Cervantes: Implementation of a Practical Deep Learning-based Self-Supervised Framework for the Point Cloud Semantic Segmentation Task (Master thesis, 2022)
Julia Mertesdorf: Do video representation learning methods actually look for motion? A study on motion understanding via static bias reduction (Master project, 2022)
Mehdi Naouar: Exploiting feature diversity for anomaly segmentation with transformer based models (Master project, 2022)
Anna Stroganova: Multimodal attribute learning (Master thesis, 2022)
Tabet Ehsainieh: Hand Detection Of Reaching Into Storage Boxes (Bachelor thesis, 2022)
Felix Jablonksi: Improving Clip-Sentence Retrieval with COOT using large-scale noisy-aligned Training Data (Master thesis, 2022)
Roya Rahimzadeh: Detecting Defective Solar Cells from Electroluminescence Images using Deep Learning (Master thesis, 2022)
Rishabh Jain: Self-supervised Learning for Label-Efficient 3D Object Detection (Master thesis, 2022)
Doga Can Öner: Microscopic analysis of solar cells without a microscope - a deep learning approach (Master thesis, 2022)
Johannes Dienert: Segmentation of knots in computed tomography scans of beech logs (Master project, 2022)
Hssan Driss and Salem Ayadi: Addressing long tailed distributions in multimodal future prediction (Master project, 2022)
Muhammad Irfan: Does supervised contrastive learning help improve robustness? (Master project, 2022)
Yigit Yükselen: High Precise Localization Based on Non-Semantic Camera Features (Master thesis, 2022)
Leonhard Sommer: From Pixel Matching to Dynamic Rigid Objects (Master thesis, 2022)
Kai Haase: Global Context for Kidney Stone Segmentation using PatchWork (Master thesis, 2022)
Anna Khatyreva: Dental reconstruction and completion with deep learning (Master project, 2022)
Kinan Alzouabi: Contrastive Multi-Modal Learning for Cranial CT Scan Analysis (Master thesis, 2022)
Saurav Shanu: Monocular 3D Object Detection and Bird's Eye View Generation in Driving Scenarios (Master thesis, 2022)
Prashanth Pottabattini: Identification of sticking points in epitaxially grown sandwich wafers (Master thesis, 2021)
Anna Stroganova: Importance of Language Model in Historical Handwritten Text Recognition (Master project, 2021)
Chengxin Wang: Robustness Evaluation of Deep Neural Networks with Black-box Adversarial Attacks on Videos (Master thesis, 2021)
Sergio Izquierdo: Conditional Servoing for Vision Based Manipulation (Master thesis, 2021)
Julia Guerrero: Improving Deep Feature Representations for Self-Supervised Training of Disparity Estimation (Master thesis, 2021)
Shashank Agnihotri: Towards improving OOD robustness of small neural networks (Master thesis, 2021)
Debayan Sen: OptiCork: A Segmentation-Based Computer Vision Approach for detecting anomalies on Cork Disk Surfaces (Master thesis, 2021)
Constantin Wittig: Role of negative samples in unsupervised contrastive learning of visual representations (Master thesis, 2021)
Thomas Kötzner: Object Dimensioning in Cluttered Scenes with Deep Learning based Image and Point Cloud Fusion (Master thesis, 2021)
Saurav Shanu: Learning a Stixel World with Deep Networks (Master project, 2021)
Erisa Zarghami: Input data difficulty assessment for DNNs with autonomous driving systems (Master thesis, 2021)
Anupam Kakkar: Identifying Components for Energy System Planning by Instance Segmentation of Street-View Images (Master thesis, 2021)
Guilherme Miotto: Measuring the Volume of Liquid Jets with Computer Vision - An Approach using Deep Learning and Synthetic Data (Master thesis, 2021)
Simon Ging: Applying Hierarchical Representations from Video Retrieval to Video Captioning (Master thesis, 2021)
Jacob Maxam: Automatische Asterkennung in Buchenholz mithilfe von Deep Learning (Bachelor thesis, 2021)
Philipp Frögel: Comparison of methods for anomaly detection (Bachelor thesis, 2021)
Mohsen Mohammadi Kharkeshi: Digital Assessment of Honey Bee Brood Development (Master thesis 2021)
Simon Schrodi: What Causes Optical Flow Networks to be Vulnerable to Physical Adversarial Attacks (Master project, 2021)
Dejan Kostyszyn: Automatic segmentation of medical images and quality ensurance of such segmentations with a conditional generative adversarial network (Master thesis, 2021)
Michel Dehn: Introducing shape priors into a segmentation network via a GAN architecture (Bachelor thesis, 2021)
Julia Guererro: Semi-Supervised Domain Adaptation for Disparity Estimation with DispNet (Master project, 2021)
Sergio Izquierdo: Deep Feature Reconstruction for Disparity Estimation with DispNet (Master project, 2021)
Julian Stock: Multi-Object-Tracking in Drohnenvideos (Master thesis, 2021)
Hanna Siemund: Comparison of Unsupervised Learning Methods to Boost 3D Pose Estimation in a Semi-supervised Setting (Master thesis, 2021)
Shashank Agnihotri: Study on effects of pruning on the generalisation of a small network (Master project, 2021)
Philipp Jund: Semi-Supervised Learning for Object Detection (Master thesis, 2021)
Constantin Wittig: Consistency-based Semi-supervised Object Detection (Master project, 2021) Rabea Turon: Instance Segmentation of Partial Roof Areas for the Computation of Photovoltaic Potentials (Master thesis, 2021)
Jasper Hoffmann: Analyzing Interference in Temporal Differencing (Master thesis, 2020)
Nima Riahidehkordi: Deep Metric Learning for Vulnerable Road Users in the Context of Autonomous Driving (Master thesis, 2020)
Vanditha Rao: Comparison of Different Explainable Artificial Intelligence Techniques for Explainability in Skin Lesion Classification (Master thesis, 2020)
Joshua Heipel: Investigating a hybrid neural network for video frame prediction and optical flow estimation (Bachelor thesis 2020)
Lukas Boschert: Generalization on unseen objects in 6D pose estimation (Master thesis 2020)
Shardul Deshpande: Sequential fusion of camera based semantic-instance segmentation with LiDAR for autonomous driving (Master thesis 2020)
Jatin Dhawan: Analysing, evaluating and optimizing a motion capture process for an efficient ergonomic workplace rating in industry assembly (Master thesis 2020)
Simon Selg: Enabling and analyzing mixed precision training in convolutional neural networks (Bachelor thesis 2020)
Enid Vyshka: Semantic segmentation of material defects on fracture surfaces using convolutional neural networks (Master thesis 2020)
Leslie Kurumundayil: Denoising of diamond wire sawn wafers using generative adversarial networks (Master thesis 2020)
Jakob Stigler: A CNN based blind approach to lossy image compression artefact reduction (Master thesis 2020)
Bhavana Rebba: Silicon material rating in photovoltaics: optimizing feature learning and IV prediction (Master thesis 2020)
Mohamed Salou: Unsupervised adaptation from ToF to stereo (Master thesis 2020)
Lukas Froese: Fehlerklassifikation in Tiefenmessungen mittels Convolutional Neural Networks (Master thesis 2020)
Syed Kirmani: Evaluation of state-of-the-art CNNs for the segmentation of organs at risk in radiotherapy treatment planning (Master thesis 2019)
Malte Kracht: Erkennung farbiger Objekte in Weitwinkelbildern (Bachelor thesis 2019)
Andres Munoz Garza: Multi-variate temporal GAN for large scale video generation (Master thesis 2019)
Usman Ahmed: Synthetic-to-real image to image translation for 6D pose estimation (Master thesis 2019)
Sumit Shinde: Deep learning CNN approach and image feature extraction for automotive exhaust system components's cost estimation (Master thesis 2019)
Olesya Tsapenko: Multi-modal point cloud colorization using sparse convolutions (Master thesis 2019)
Ammar Nayal: Sub-pixel accurate coordinate regression for image and laser calibration in solar cell production (Master thesis 2019)
Jakob Stigler: Comparing Performance of Different Convolution Methods for Deep Neuronal Networks on Occluded Datasets (Master project 2019)
Miray Yüce: Active learning for object detection (Master thesis 2019)
Badhreesh M Rao: Adversarial domain adaptation in deep reinforcement learning (Master thesis 2019)
Jasper Hoffmann: Distributional Reward Estimation in Deep Reinforcement Learning (Master projekt 2019)
Salih Hasan Siddiqi: Learning video representations for deep reinforcement learning based movie recommender systems (Master thesis 2019)
Diane Wagner: Hyperparameter optimization for biomedical image analysis with deep neural networks (Bachelor thesis 2019)
Ehsan Amiri: Class-agnostic global box regression (Master thesis 2019)
Andres Munoz Garza: Using motion and appearance for video understanding (Master project 2019)
Zhishang Wang: Quantifying and improving CNN robustness against common image degradations (Master thesis 2019)
Jose Araya Martinez: Trade-off optimization between accuracy and FLOPs for DispNetC (Master thesis 2019)
Silvio Galesso: Extending FlowNet to integrate past information through standard and probabilistic approaches (Master thesis 2019)
Aditya Bhatt: Stabilizing off-policy TD with feature normalization (Master thesis 2019)
William Weigold: FPGA implementations of neural networks for scene augmentation with a TOF camera on AGVs (Master thesis 2019)
Manika Arora: Forecasting stock markets using textual data (Master thesis 2019)
Kangkan Bharadwaj: Learning depth-based semantic segmentation of street scenes (Master thesis 2018)
Jan Bechtold: 3D object detection using tangent convolutions (Master thesis 2018)
Daniel Gamallo: Tunnel detection in traffic infrastructure data (Master thesis 2018)
Bandar Alsharif: Instance segmentation of moving objects including motion boundaries (Master thesis 2018)
Mais Hanoon: Recognition of living and dead cells for automated cell sorting (Master thesis 2018)
Syed Mohsin Ali: Uncertainty measurement for medical image segmentation with deep neural networks (Master thesis 2018)
Akhil Thomas: Reinforcing monocular visual SLAM with deep learning (Master thesis 2018)
Muazzam Ali: RGB-D scene flow with deep convolutional neural networks (Master thesis 2018)
Kamaljeet Singh: Future forecasting on deep representations in videos (Master thesis 2018)
Dominik Finke: Predicting bone age on x-ray images using deep learning (Master thesis 2018)
Lukas Vögtle: Convolutional networks with hierarchical attention for high resolution images (Master thesis 2018)
Silvio Galesso: Integrating uncertainty estimation for optical flow with convolutional neural networks (Master project 2018)
Hannes Horneber: Instance segmentation of single trees with uncertainty estimation using deep learning methods (Master thesis 2018)
Zhishang Wang: Evaluation of differnt optical flow estimation methods in hard cases (Master project 2018)
Osama Makansi: Augmenting FlowNet with real-world training data (Master thesis 2018)
Lukas Wiens: Implementierung der Octree Generating Networks Deep-Learning Architektur in TensorFlow (Bachelor thesis 2018)
Ehsan Amiri: Automated orientation annotation for ModelNet (Master project 2018)
Aditya Bhatt: Effects of Monte Carlo targets in reinforcement learning for continuous control (Master project 2018)
Amanullah Tariq: Model pruning in convolutional encoder-decoder networks (Master thesis 2018)
Kangkan Jyothi Baradwaj: HDR image fusion with deep networks (Master project 2018)
Bandar Al Shareef: Package segmentation and fingerprint matching with convolutional neural networks (Master project 2018)
Zaid Ur Rehman: Peptide detection using convolutional neural networks (Master thesis 2018)
Markus Frey: Probabilistic deep learning for visual inspection (Master thesis 2017)
Christopher Krolla: Durchmesserbestimmung von Bäumen mit Hilfe neuronaler Netzwerke (Bachelor thesis 2017)
Ahmed Osman: Dual recurrent attention units for visual question answering (Master thesis 2017)
Thomas Leyh: Predicting spread prices on VIX futures with deep learning (Bachelor thesis 2017)
Yufeng Xiong: Deep network analysis and visualization (Master project 2017)
Tonmoy Saikia: Multi-frame FlowNets for action recognition (Master thesis 2017)
Akshata Bhat: Representation learning via unsupervised deep learning for diabetic retinopathy detection (Master thesis 2017)
Hannes Horneber: Detection of standing and lying dead trees with RGB+NIR orthomosaics and digital surface models (Master project 2017)
Denis Tananaev: Structure from motion with recurrent neural networks (Master thesis 2017)
Vladislav Tananaev: Semantic segmentation in point clouds with deep networks (Master thesis 2017)
Chaithanya Kumar Mummadi: Adversarial examples for deep semantic segmentation networks (Master thesis 2017)
Manuel Ruder: Fast video style transfer (Master thesis 2017)
Ludwig Striet: Gradient descent for a modified objective (Master project 2017)
Lukas Halbritter: Evaluation of dataset characteristics for training deep networks (Bachelor thesis 2017)
Markus Frey: Camera calibration in triangulation setups affected by plane parallel plate refractions (Master project 2017)
Tonmoy Saikia: Training FlowNet for action recognition (Master project 2017)
Ahmed Osman: 3D Object Detection Using Orientation-Aware Convolutional Neural Networks (Master project 2017)
Ricardo Schwarz: Automatisierte Erkennung, Klassifizierung und Auswertung von lokalen Defekten auf Freiformflächen mittels deflektometrischer Messdaten (Master thesis 2016)
Jan Sosulski: Particle tracking using recurrent neural networks (Master project 2016)
Akshata Bhat: Prediction of rats paw movement and interpretation of motor cortex activity at reach (Master project 2016)
Martin März: Semantische Segmentierung von Strassenbestandsobjekten in RGB-Bildern unterstützt durch Tiefeninformationen mittels Convolutional Neural Networks (Master thesis 2016)
Ingo Killmann: Solder joint quality control with convolutional networks (Master thesis 2016)
Nikolas Holland: Refining optical flow estimates with trainable nonlinear reaction diffusion (Master thesis 2016)
Manuel Bühler: Egomotion from optical flow (Lab course 2016)
Christof Schötz: Concentration inequalities and applications to machine learning (Master thesis 2016)
Manuel Ruder: Artistic style transfer for videos (Master project 2016)
Andreas Behr: Zellschicht- und Strangklassifikation im iRoCS Koordinatensystem mit Hilfe diskreter Graphoptimierung und Spectral Clustering (Master thesis 2016)
Michael Rudolph: Automatic Chord Transcription on a Mobile Phone using Convolutional Neuronal Networks (Master project 2016)
Maxim Tatarchenko: Generating unseen views of objects with convolutional networks (Master thesis 2015)
Nicolas Holland: Is total variation the best regularizer for segmentation? (Master project 2015)
Raphael Smolik: Segmentierung von Graphen mithilfe von primal-duale Algorithmen auf der GPU (Bachelor thesis 2015)
Andre Ortmann: 2D human pose estimation using spatial and temporal constraints (Master thesis 2015)
Raphael Schmitt: Image stack registration with a pairwise data term (Master thesis 2015)
Tim Fischer: Evaluation of image classification approaches on conveyable goods using depth images (Master thesis 2015)
Christof Schötz: Probabilistic line search for convolutional network training (Master project 2015)
Janosch Scharlipp: Convolutional Networks for Furneer Classification (Master thesis 2015)
Gerd-Emmanuel Nandzik: Bilevel Optimierung der Interpolationsmaske für die Bildkompression (Bachelor thesis 2015)
Maxim Tatarchenko: Automated anthropometric measurements with a consumer depth camera (Master project 2015)
Markus Frey: Fully automatic calibration of multiple cameras with bundle adjustment (lab course 2015)
Lukas Vögtle: Global and Instance-based Hyperparameter Optimization for Large Displacement Optical Flow (Bachelor thesis 2015)
Lukas Brendle: Influence of scale on neural network training and testing (Bachelor thesis 2015)
Thomas Rinklin: Motion segmentation with track repair (Master thesis 2014)
Maxim Tatarchenko: Determining motion boundaries from image boundaries using deep descriptor matching (lab course 2014)
Salem Dekelbab: Hierarchical conditional random fields for partitioning of mast cells (Master thesis 2014)
Thomas Rinklin: Continuation of point trajectories through occlusions (Master project 2014)
Nikolaus Mayer: Coupling ICP and whole image alignment for camera tracking (Master thesis 2014)
Johanna Götz: Detektion von Fingerkuppen (Bachelor thesis 2014)
Jan Mattner: Unsupervised learning of a hierarchy of invariant features from videos (Master thesis 2013)
Markus Frey: Schnelles Kameratracking mit Autokalibrierung auf planaren Oberflächen (Bachelor thesis 2013)
Markus Näther: Visuelles Tracken von Nagerfüßen (Bachelor thesis 2013)
Nikolaus Mayer: Globally consistent scene reconstruction from depth maps (Master project 2013)
Daniel Jäckle: Unsupervised learning of viewpoint invariant detectors from video using sparse auto-encoders (Master project 2013)
Jan Mattner: Unsupervised feature learning using a hierarchy of convolutional Restricted Boltzmann Machines (Master project 2013)
Nikolas Engelhard: The interactive sandbox: a novel gaming environment (Master thesis 2013)
Eddy Ilg: Optical flow augmented laser range scans of moving objects (Master thesis 2013)
Tobias Wieland: Zwei Segmentierungsverfahren im Vergleich (lab course 2013)
Alejandro Alfaro Arrieta: Interactive camera tracking from dense depth maps on the GPU (Master thesis 2013)
Tatiana Jimenez Cardenas: Training pose specific detectors (Master thesis 2013)
Michael Keiser: Efficient semi-global matching for videos from a handheld camera (Master thesis 2012)
Patric Tippmann: An object detector trained on line drawings (Bachelor thesis 2012)
Mauricio Munoz: Generalization properties of patch representations for video segmentation (Bachelor thesis 2012)
Raphael Schmitt: Matlab volume renderer (lab course 2012)
Martin Senk: Computer controlled cat flap with mouse recognition (Master thesis 2012)
Alejandro Alfaro: GPU programming - sparse labeling goes dense (Master project 2012)
Eddy Ilg: Automatic subpixel accurate position recognition from images of commercially available rulers (Master project 2012)
Tatiana Jimenez Cardenas: Deep structures for a latent SVM object detection model (Master project 2012)
Emanuel Koziolek: Bewertung von PL-Strukturen in multikristallinen Silizium-Wafern anhand der ortsaufgelösten Dunkelsättigungsstromdichte (Master thesis 2012)
Martin Senk: Patch matching for repairing trajectories (team project 2011)
Martin Senk: Semi-global Matching on the GPU (lab course 2011)
Tatiana Jimenez Cardenas: Three-layer Latent-SVM (lab course 2011)
Alejandro Alfaro: Variational label interpolation on the GPU (lab course 2011)
Thomas Rinklin: Identifying spatially consistent point correspondences by finding maximal cliques in graphs (lab course 2011)
Daniel Kuhner: Fast rotation invariant features on the GPU (lab course 2011)
Benjamin Ummenhofer: Large displacement optical flow for volumetric image sequences (Master thesis 2011)

Semesters before 2011 (Prof. Burkhardt)