Prof. Dr. rer. nat. habil. Marco Körner

kommissarischer Leiter

Biographie

Marco Körner wurde 1984 in Salzwedel geboren. Nach seinem Studium der Informatik an der Friedrich-Schiller-Universität Jena wurde er 2009 wissenschaftlicher Mitarbeiter am dortigen Lehrstuhl für Digitale Bildverarbeitung, wo er in verschiedene Forschungsprojekte und Lehrprogramme eingebunden war. Während dieser Zeit fertigte er unter der Betreuung von Prof. Dr.-Ing. Joachim Denzler seine Dissertation mit dem Titel "Methods for Model-based and Model-free Recognition of Articulated Actions in Multi-View Environments" an und promovierte 2015 zum Dr. rer. nat.

Seit Februar 2015 ist er als akademischer Rat der stellvertretende Leiter des Lehrstuhls für Methodik der Fernerkundung und Leiter der Computer Vision Research Group. Dort beschäftigt sich seine Forschung hauptsächlich mit der Entwicklung und Anwendung von Methoden der digitalen Bildverarbeitung, Computer Vision und des maschinellen Lernens im Bereich der Erdbeobachtung und Fernerkundung. 2021 habilitierte er sich zum Dr. rer. nat. habil., woraufhin ihm die Lehrbefugnis für das Fachgebiet "Maschinelles Lernen und Computer Vision" erteilt wurde.

Werdegang

2021
Habilitation für das Fachgebiet Maschinelles Lernen und Computer Vision
Dr. rer. nat. habil.
TUM, Lehrstuhl für Methodik der Fernerkundung (Prof. Bamler)
2015
Promotion im Fach Informatik
Dr. rer. nat.
Friedrich-Schiller-Universität Jena, Lehrstuhl für Digitale Bildverarbeitung (Prof. Denzler)
2009
Diplom im Fach Informatik
Dipl.-Inf.
Friedrich-Schiller-Universität Jena
seit 2022
Vertretungsprofessor, kommissarischer Leiter
TUM, Lehrstuhl für Methodik der Fernerkundung
seit 2021
Akademischer Oberrat, stellv. Leiter
Privatdozent (PD)
TUM, Lehrstuhl für Methodik der Fernerkundung (Prof. Bamler)
2015 – 2021
Akademischer Rat, stellv. Leiter
TUM, Lehrstuhl für Methodik der Fernerkundung (Prof. Bamler)
2009 – 2015
wissenschaftlicher Mitarbeiter
Friedrich-Schiller-Universität Jena, Lehrstuhl für Digitale Bildverarbeitung (Prof. Denzler)
2014
Gastwissenschaftler
Prof. Mohan Trivedi, University of California San Diego (UCSD), USA
2010
Gastwissenschaftler
Prof. José Luis Marroquín, Centro de Investigación en Matemáticas (CIMAT), Guanajuato, Mexico
2010
Gastwissenschaftler
Prof. Humberto Sossa, Centro de Investigación en Computación (CIC) del Instituto Politécnico Nacional (IPN), Mexico City, Mexiko

Forschung

  • Maschinelles Lernen in der Fernerkundung und Erdbeobachtung, insbesondere:
    • Maschinelles Lernen aus multimodalen, multitemporalen und multispektralen Daten
    • Deep Learning in der Fernerkundung und Erdbeobachtung
    • Generative Modellierung
    • Inkrementelles und kontinuierliches Lernen
    • Eklärbares, transparentes und verlässliches Lernen
  • Computer Vision, insbesondere:
    • Superresolution
    • Tiefenschätzung und Szenenrekonstruktion

2022

  • Kraft, Basil; Jung, Martin; Körner, Marco; Koirala, Sujan; Reichstein, Markus: Towards Hybrid Modeling of the Global Hydrological Cycle. Hydrology and Earth System Sciences 36 (6), 2022 mehr… Volltext ( DOI )
  • Marszalek, Michael; Körner, Marco; Schmidhalter, Urs: Prediction of multi-year winter wheat yields at the field level with satellite and climatological data. Computers and Electronics in Agriculture 194, 2022, 106777 mehr… Volltext ( DOI )

2021

  • Schneider, Maja; Broszeit, Amelie; Körner, Marco: EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification. Proceedings of the 2021 Conference on Big Data from Space (BiDS '21), Publications Office of the European Union, 2021, 125-128 mehr… Volltext ( DOI ) Volltext (mediaTUM)
  • Schneider, Maja; Körner, Marco: [Re] Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention. ReScience C 7 (2), 2021 mehr… Volltext ( DOI ) Volltext (mediaTUM)
  • Wu, Sidi; Liebel, Lukas; Körner, Marco: Derivation of Geometrically and Semantically Annotated UAV Datasets at Large Scales from 3D City Models. International Conference on Pattern Recognition (ICPR), IEEE, 2021 mehr… Volltext ( DOI )

2020

  • Aigner, Sandra; Körner, Marco: The Importance of Loss Functions for Increasing the Generalization Abilities of a Deep Learning-Based Next Frame Prediction Model for Traffic Scenes. Machine Learning and Knowledge Extraction 2 (2), 2020, 78-98 mehr… Volltext ( DOI )
  • Bittner, K.; Liebel, L.; Körner, M.; Reinartz, P.: LONG-SHORT SKIP CONNECTIONS IN DEEP NEURAL NETWORKS FOR DSM REFINEMENT. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020, 2020, 383-390 mehr… Volltext ( DOI )
  • Koch, Tobias; Liebel, Lukas; Körner, Marco; Fraundorfer, Friedrich: Comparison of monocular depth estimation methods using geometrically relevant metrics on the IBims-1 dataset. Computer Vision and Image Understanding (CVIU) 191, 2020, 102877 mehr… Volltext ( DOI )
  • Kraft, Basil; Jung, Martin; Körner, Marco; Reichstein, Markus: Towards global hybrid hydrological modeling by fusing deep learning and a conceptual model. EGU General Assembly, 2020 mehr… Volltext ( DOI )
  • Kraft, Basil; Jung, Martin; Körner, Marco; Reichstein, Markus: HYBRID MODELING: FUSION OF A DEEP LEARNING APPROACH AND A PHYSICS-BASED MODEL FOR GLOBAL HYDROLOGICAL MODELING. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020, 2020, 1537-1544 mehr… Volltext ( DOI )
  • Liebel, Lukas; Bittner, Ksenia; Körner, Marco: A generalized multi-task learning approach to stereo DSM filtering in urban areas. ISPRS Journal of Photogrammetry and Remote Sensing 166, 2020, 213-227 mehr… Volltext ( DOI )
  • Qiu, Chunping; Liebel, Lukas; Hughes, Lloyd Haydn; Schmitt, Michael; Körner, Marco; Zhu, Xiao Xiang: Multitask Learning for Human Settlement Extent Regression and Local Climate Zone Classification. IEEE Geoscience and Remote Sensing Letters, 2020, 1-5 mehr… Volltext ( DOI )
  • Rußwurm, M.; Pelletier, C.; Zollner, M.; Lefèvre, S.; Körner, M.: BREIZHCROPS: A TIME SERIES DATASET FOR CROP TYPE MAPPING. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020, 2020, 1545-1551 mehr… Volltext ( DOI )
  • Rußwurm, Marc; Körner, Marco: Self-attention for raw optical Satellite Time Series Classification. ISPRS Journal of Photogrammetry and Remote Sensing 169, 2020, 421-435 mehr… Volltext ( DOI )
  • Rußwurm, Marc; Wang, Sherrie; Körner, Marco; Lobell, David: Meta-Learning for Few-Shot Land Cover Classification. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020 mehr… Volltext ( DOI )
  • Wang, Sherrie; Rußwurm, Marc; Körner, Marco; Lobell, David B.: Meta-Learning For Few-Shot Time Series Classification. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2020 mehr… Volltext ( DOI )

2019

  • Aigner, Sandra; Körner, Marco: FutureGAN: Anticipating the Future Frames of Video Sequences using Spatio-Temporal 3d Convolutions in Progressively Growing GANs. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS) XLII-2/W16, 2019, 3-11 mehr… Volltext ( DOI )
  • Bittner, Ksenia; Körner, Marco; Fraundorfer, Friedrich; Reinartz, Peter: Multi-Task cGAN for Simultaneous Spaceborne DSM Refinement and Roof-Type Classification. Remote Sensing 11 (11), 2019, 1262 mehr… Volltext ( DOI )
  • Koch, Tobias; Körner, Marco; Fraundorfer, Friedrich: Automatic and Semantically-Aware 3D UAV Flight Planning for Image-Based 3D Reconstruction. Remote Sensing 11 (13), 2019 mehr… Volltext ( DOI )
  • Koch, Tobias; Liebel, Lukas; Fraundorfer, Friedrich; Körner, Marco: Evaluation of CNN-Based Single-Image Depth Estimation Methods. Proceedings of the European Conference on Computer Vision Workshops (ECCV-WS), Springer International Publishing, 2019, 331-348 mehr… Volltext ( DOI )
  • Kraft, Basil; Jung, Martin; Körner, Marco; Requena Mesa, Christian; Cortés, José; Reichstein, Markus: Identifying Dynamic Memory Effects on Vegetation State Using Recurrent Neural Networks. Frontiers in Big Data 2, 2019 mehr… Volltext ( DOI )
  • König, Peter; Aigner, Sandra; Körner, Marco: Enhancing Traffic Scene Predictions with Generative Adversarial Networks. IEEE Intelligent Transportation Systems Conference (ITSC), 2019, 1768-1775 mehr… Volltext ( DOI )
  • Liebel, Lukas; Körner, Marco: MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification. IEEE Intelligent Transportation Systems Conference (ITSC), IEEE, 2019, 1440-1447 mehr… Volltext ( DOI )
  • Rußwurm, Marc; Lefèvre, Sébastien; Courty, Nicolas; Emonet, Rémi; Körner, Marco; Tavenard, Romain: End-to-end Learning for Early Classification of Time Series. arXiv preprint arXiv:1901.10681, 2019 mehr…

2018

  • Azimi, Seyed Majid; Fischer, Peter; Körner, Marco; Reinartz, Peter: Aerial LaneNet: Lane Marking Semantic Segmentation in Aerial Imagery using Wavelet-Enhanced Cost-sensitive Symmetric Fully Convolutional Neural Networks. IEEE Transactions on Geoscience and Remote Sensing, 2018 mehr… Volltext ( DOI )
  • Azimi, Seyed Majid; Vig, Eleonora; Bahmanyar, Reza; Körner, Marco; Reinartz, Peter: Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery. arXiv preprint arXiv:1807.02700, 2018 mehr… Volltext ( DOI )
  • Bittner, Ksenia; Adam, Fathalrahman; Cui, Shiyong; Körner, Marco; Reinartz, Peter: Building Footprint Extraction From VHR Remote Sensing Images Combined With Normalized DSMs Using Fused Fully Convolutional Networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTAR) 11, 2018, 2615-2629 mehr… Volltext ( DOI )
  • Bittner, Ksenia; Körner, Marco: Automatic Large-Scale 3D Building Shape Refinement Using Conditional Generative Adversarial Networks. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018 mehr…
  • Bittner, Ksenia; d'Angelo, Pablo; Körner, Marco; Reinartz, Peter: AUTOMATIC LARGE-SCALE 3D BUILDING SHAPE REFINEMENT USING CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS) XLII-2, 2018, 103--108 mehr… Volltext ( DOI )
  • Bittner, Ksenia; d’Angelo, Pablo; Körner, Marco; Reinartz, Peter: DSM-to-LoD2: Spaceborne Stereo Digital Surface Model Refinement. Remote Sensing 10 (12), 2018 mehr… Volltext ( DOI )
  • Kang, Jian; Körner, Marco; Wang, Yuanyuan; Taubenböck, Hannes; Zhu, Xiao Xiang: Building instance classification using street view images. ISPRS Journal of Photogrammetry and Remote Sensing, 2018 mehr… Volltext ( DOI )
  • Liebel, Lukas; Körner, Marco: Auxiliary Tasks in Multi-task Learning. arXiv preprint arXiv:1805.06334, 2018 mehr…
  • Rußwurm, Marc; Körner, Marco: Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders. ISPRS International Journal of Geo-Information 7 (4), 2018, 129 mehr… Volltext ( DOI )
  • Rußwurm, Marc; Körner, Marco: Convolutional LSTMs for Cloud-Robust Segmentation of Remote Sensing Imagery. Proceedings of the Conference on Neural Information Processing Systems Workshops (NeurIPSW), 2018 mehr…
  • Schmitt, Michael; Hughes, Lloyd; Körner, Marco; Zhu, Xiao Xiang: COLORIZING SENTINEL-1 SAR IMAGES USING A VARIATIONAL AUTOENCODER CONDITIONED ON SENTINEL-2 IMAGERY. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2, 2018, 1045--1051 mehr… Volltext ( DOI )

2017

  • Kang, Jian; Wang, Yuanyuan; Körner, Marco; Zhu, Xiao Xiang: Robust Object-Based Multipass InSAR Deformation Reconstruction. IEEE Transactions on Geoscience and Remote Sensing (TGRS) 8 (55), 2017, 4239--4251 mehr… Volltext ( DOI )
  • Kang, Jian; Wang, Yuanyuan; Körner, Marco; Zhu, Xiao Xiang: Improve Multi-baseline InSAR Parameter Retrieval by Semantic Information from Optical Images. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017 mehr…
  • Kang, Jian; Wang, Yuanyuan; Körner, Marco; Zhu, Xiao Xiang: Robust Object-based Multi-Baseline InSAR. Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR (FRINGE), 2017 mehr…
  • Rußwurm, Marc; Körner, Marco: Multitemporal Crop Identification from Medium-Resolution Multi-Spectral Satellite Images based on Long Short-Term Memory Neural Networks. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS) XLII-1/W1, 2017, 551--558 mehr… Volltext ( DOI )
  • Rußwurm, Marc; Körner, Marco: Temporal Vegetation Modelling using Long Short-Term Memory Networks for Crop Identification from Medium-Resolution Multi-Spectral Satellite Images. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2017 mehr…

2016

  • Kang, Jian; Wang, Yuanyuan; Körner, Marco; Zhu, Xiao Xiang: Object-based InSAR deformation reconstruction with application to bridge monitoring. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016 mehr… Volltext ( DOI )
  • Koch, Tobias; d'Angelo, Pablo; Kurz, Franz; Fraundorfer, Friedrich; Reinartz, Peter; Körner, Marco: The TUM-DLR Multimodal Earth Observation Evaluation Benchmark. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2016 mehr…
  • Koch, Tobias; Körner, Marco; Fraundorfer, Friedrich: Automatic Alignment of Indoor and Outdoor Building Models using 3D Line Segments. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016 mehr…
  • Liebel, Lukas; Körner, Marco: Single-Image Super Resolution for Multispectral Remote Sensing Data Using Convolutional Neural Networks. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS) XLI-B3, 2016, 883--890 mehr… Volltext ( DOI )

2015

  • Körner, Marco: Methods for Model-based and Model-free Recognition of Articulated Actions in Multi-View Environments. Computer Science. Verlag Dr. Hut, 2015 mehr…
  • Körner, Marco; Krishna, Mahesh Venkata; Süße, Herbert; Ortmann, Wolfang; Denzler, Joachim: Regularized Geometric Hulls for Bio-medical Image Segmentation. Annals of the BMVA 2015 (5), 2015, 1--12 mehr…

2014

  • Jiang, Xiaoyan; Körner, Marco; Haase, Daniel; Denzler, Joachim: A Graph-based MAP Solution for Multi-Person Tracking Using Multi-Camera Systems. Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISAPP), 2014 mehr…
  • Krishna, Mahesh Venkata; Bodesheim, Paul; Körner, Marco; Denzler, Joachim: Temporal Video Segmentation by Event Detection: A Novelty Detection Approach. Pattern Recognition and Image Analysis (PRIA) 24 (2), 2014, 243--255 mehr…
  • Körner, Marco; Krishna, Mahesh Venkata; Süße, Herbert; Ortmann, Wolfgang; Denzler, Joachim: Regularized Geometric Hulls for Robust Cell Nucleus Segmentation from Microscopy Images. Proceedings of the 18th Annual Conference on Medical Image Understanding and Analysis (MIUA), 2014 mehr…
  • Süße, Herbert; Ortmann, Wolfgang; Lautenschläger, Janin; Lautenschläger, Christian; Körner, Marco; Großkreutz, Julian; Denzler, Joachim: Quantitative Analysis of Pathological Mitochondrial Morphology in Neuronal Cells in Confocal Laser Scanning Microscopy Images. Proceedings of the 2th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO), 2014 mehr…

2013

  • Jiang, Xiaoyan; Haase, Daniel; Körner, Marco; Bothe, Wolfgang; Denzler, Joachim: Accurate 3D Multi-Marker Tracking in X-ray Cardiac Sequences Using a Two-Stage Graph Modeling Approach. Computer Analysis of Images and Patterns (CAIP) (Lecture Notes in Computer Science), Springer, 2013 mehr…
  • Krishna, Mahesh Venkata; Körner, Marco; Denzler, Joachim: Hierarchical Dirichlet Processes for Unsupervised Online Multi-View Action Perception using Temporal Self-Similarity Features. Proceedings of the 7th ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), 2013 mehr…
  • Körner, Marco; Denzler, Joachim: JAR-Aibo: A Multi-View Dataset for Evaluation of Model-Free Action Recognition Systems. New Trends in Image Analysis and Processing (ICIAP) (Lecture Notes in Computer Science), Springer, 2013 mehr…
  • Körner, Marco; Denzler, Joachim: Temporal Self-Similarity for Appearance-Based Action Recognition in Multi-View Setups. Computer Analysis of Images and Patterns (CAIP) (Lecture Notes in Computer Science), Springer, 2013 mehr…
  • Süße, Herbert; Ortmann, Wolfgang; Lautenschläger, Christian; Körner, Marco; Schmidt, Carsten; Stallmach, Andreas; Denzler, Joachim: Oriented Differences of Boxes Operators for Blood Vessel Segmentation and Analysis in Confocal Laser Endomicroscopy Images with Minimal User Interaction. Proceedings of the 17th Annual Conference on Medical Image Understanding and Analysis (MIUA), 2013 mehr…

2012

  • Bredereck, Michael; Jiang, Xiaoyan; Körner, Marco; Denzler, Joachim: Data Association for Multi-Object Tracking-by-Detection in Multi-Camera Networks. Proceedings of the 6th ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), 2012 mehr…
  • Körner, Marco; Denzler, Joachim: Analyzing the Subspaces Obtained by Dimensionality Reduction for Human Action Recognition from 3d Data. Proceedings of the 9th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2012 mehr…
  • Körner, Marco; Haase, Daniel; Denzler, Joachim: Scale-Independent Spatio-Temporal Statistical Shape Representations for 3d Human Action Recognition. Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM), SciTePress, 2012 mehr…

2011

  • Körner, Marco; Süße, Herbert; Ortmann, Wolfgang; Denzler, Joachim: A Method for Fast Composing of Images Captured from Deformed Documents by a Quadocular Scanner Setup. Proceedings of the 12th IAPR Conference on Machine Vision Applications (MVA), 2011 mehr…

Lehre

Masterarbeiten

  • "Transfer Learning for Medical Image Analysis", Katharina Kofend (2021, mit Phillips Research, Hamburg)
  • "Crop Yield Estimation from Remote Sensing Imagery", Malte von Bloh (2021, mit Lehrstuhl für Pflanzenernährung, TUM School of Life Sciences)
  • "Detection and Assessment of Natural Disaster Damages from Remote Sensing Imagery", Jennifer Kriese (2021, mit DLR-DFD)
  • "Transferring Features between Visual and Olfactorial Neural Networks for Object Detection", Michael Greza (2021)
  • "Detection of Invasive Plant Species in South Africa from Hyperspectral Imagery", Lena Wagner (2020)
  • "Monte-Carlo Dropout Meachims for Certainty Assessment in Neural Networks", Peter König (2020, mit TUM-FPF und MVTec, München)
  • "Multi-Task Learning for Urban Reconstruction from UAV Imagery", Sidi Wu (2020)
  • "Depth-Guided Video Frame Prediction", Luka Sachße (2019)
  • "Temporal Modeling of Multi-Spectral Satellite Earth Observation Data for Vegetation Classification", Marc Rußwurm (2018)
  • "Deep Convolutional Neural Networks for Semantic Segmentation of Multispectral Sentinel-2 Satellite Imagery", Lukas Liebel (2017)

Bachelorarbeiten

  • "Evaluation of Methods for Monocular Depth Estimation", Oliver Geißendörfer (2018)
  • "Google Earth Engine: Global Analyses based on Remote Sensing Data", Kai-Hendrik Kolsch (2018)
  • "3D Surface Reconstruction using Polarisation Cues", Lea Albrecht (2017)

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