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

Acting Head

Biography

Marco Körner was born in Salzwedel, Germany, in 1984. After studying computer science at the Friedrich Schiller University of Jena, he became a research assistant at the Chair of Digital Image Processing there in 2009. There, he was involved in various research projects and teaching programmes. During this time, under the supervision of Prof. Dr.-Ing. Joachim Denzler, he completed his dissertation entitled "Methods for Model-based and Model-free Recognition of Articulated Actions in Multi-View Environments" and received his doctorate in 2015.

Since February 2015, he has been the deputy head of the Chair of Remote Sensing Methodology and head of its Computer Vision Research Group. There, his research is mainly concerned with the development and application of digital image processing, computer vision and machine learning methods in the field of Earth observation and remote sensing. In 2021, he habilitated as Dr. rer. nat. habil., whereupon he was granted the authorisation to teach in the subject area of "Machine Learning and Computer Vision".

Curriculum Vitæ

2021
Habilitation in Machine Learning and Computer Vision
Dr. rer. nat. habil.
TUM, Chair of Remote Sensing Technology (Prof. Bamler)
2015
Promotion in Computer Sciences
Dr. rer. nat.
Friedrich Schiller University of Jena, Germany, Chair of Digital Image Processing (Prof. Denzler)
2009
Diploma in Computer Sciences
Dipl.-Inf.
Friedrich Schiller University of Jena, Germany
since 2022
Interim Professor, acting Head
TUM, Chair of Remote Sensing Technology
since 2021
"Akademischer Oberrat", deputy Head
Adjunct Teaching Professor (Privatdozent, PD)
TUM, Chair of Remote Sensing Technology (Prof. Bamler)
2015–2021
"Akademischer Rat", deputy Head
TUM, Chair of Remote Sensing Technology (Prof. Bamler)
2009–2015
Research Associate
Friedrich Schiller University of Jena, Germany, Chair of Digital Image Processing (Prof. Denzler)
2014
Visiting Scientist
Prof. Mohan Trivedi, University of California San Diego (UCSD), USA
2010
Visiting Scientist
Prof. José Luis Marroquín, Centro de Investigación en Matemáticas (CIMAT), Guanajuato, Mexico
2010
Visiting Scientist
Prof. Humberto Sossa, Centro de Investigación en Computación (CIC) del Instituto Politécnico Nacional (IPN), Mexico City, Mexiko

Research

  • Machine Learning in Remote Sensing and Earth Observation, in particular:
    • Machine learning from multimodal, multitemporal and multispectral data
    • Deep learning in remote sensing and Earth observation
    • Generative models
    • Incremental and continuous learning
    • Explainable, transparent and reliable learning
  • Computer Vision, in particular:
    • Superresolution
    • Depth estimation and scene reconstruction

2023

  • Chan, Ayshah Xuan; Schneider, Maja; Körner, Marco: XAI for Early Crop Classification. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023 more…
  • ElGhawi, Reda; Kraft, Basil; Reimers, Christian; Reichstein, Markus; Körner, Marco; Gentine, Pierre; Winkler, Alexander J: Hybrid modeling of evapotranspiration: inferring stomatal and aerodynamic resistances using combined physics-based and machine learning. Environmental Research Letters 18 (3), 2023, 034039 more… Full text ( DOI )
  • Reuss, Joana; Engel, Michael; Tumampos, Stephanie; Körner, Marco: Generalization Across Sensor-Modalities for Deforestation Assessment. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023 more… Full text ( DOI )
  • Schneider, Maja; Schelte, Tobias; Schmitz, Felix; Körner, Marco: EuroCrops: The Largest Harmonized Open Crop Dataset Across the European Union. Nature Scientific Data 10 (1), 2023 more… Full text ( DOI )

2022

  • Kraft, Basil; Jung, Martin; Körner, Marco; Koirala, Sujan; Reichstein, Markus: Towards hybrid modeling of the global hydrological cycle. Hydrology and Earth System Sciences 26 (6), 2022, 1579-1614 more… Full text ( 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 more… Full text ( DOI )
  • Schneider, Maja; Marchington, Christian; Körner, Marco: Challenges and Opportunities of Large Transnational Datasets: A Case Study on European Administrative Crop Data. Workshop on Broadening Research Collaborations, 2022Advances in Neural Information Processing Systems (NeurIPS) more… Full text ( DOI )
  • Schneider, Maja; Körner, Marco: Harnessing Administrative Data Inventories to Create a Reliable Transnational Reference Database for Crop Type Monitoring. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), IEEE, 2022 more… Full text ( 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 more… Full text ( DOI ) Full text (mediaTUM)
  • Schneider, Maja; Körner, Marco: [Re] Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention. ReScience C 7 (2), 2021 more… Full text ( DOI ) Full text (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 more… Full text ( 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 more… Full text ( 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 more… Full text ( 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 more… Full text ( 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 more… Full text ( 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 more… Full text ( 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 more… Full text ( 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 more… Full text ( 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 more… Full text ( 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 more… Full text ( 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 more… Full text ( 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 more… Full text ( 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 more… Full text ( 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 more… Full text ( 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 more… Full text ( 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 more… Full text ( 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 more… Full text ( DOI )
  • König, Peter; Aigner, Sandra; Körner, Marco: Enhancing Traffic Scene Predictions with Generative Adversarial Networks. IEEE Intelligent Transportation Systems Conference (ITSC), 2019, 1768-1775 more… Full text ( 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 more… Full text ( 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 more…

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 more… Full text ( 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 more… Full text ( 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 more… Full text ( 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 more…
  • 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 more… Full text ( DOI )
  • Bittner, Ksenia; d’Angelo, Pablo; Körner, Marco; Reinartz, Peter: DSM-to-LoD2: Spaceborne Stereo Digital Surface Model Refinement. Remote Sensing 10 (12), 2018 more… Full text ( 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 more… Full text ( DOI )
  • Liebel, Lukas; Körner, Marco: Auxiliary Tasks in Multi-task Learning. arXiv preprint arXiv:1805.06334, 2018 more…
  • Rußwurm, Marc; Körner, Marco: Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders. ISPRS International Journal of Geo-Information 7 (4), 2018, 129 more… Full text ( 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 more…
  • 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 more… Full text ( 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 more… Full text ( 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 more…
  • 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 more…
  • 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 more… Full text ( 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 more…

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 more… Full text ( 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 more…
  • 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 more…
  • 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 more… Full text ( 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 more…
  • 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 more…

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 more…
  • 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 more…
  • 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 more…
  • 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 more…

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 more…
  • 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 more…
  • 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 more…
  • 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 more…
  • 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 more…

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 more…
  • 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 more…
  • 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 more…

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 more…

Teaching

Master's Theses

  • "Transfer Learning for Medical Image Analysis", Katharina Kofend (2021, with Phillips Research, Hamburg)
  • "Crop Yield Estimation from Remote Sensing Imagery", Malte von Bloh (2021, with TUM School of Life Sciences)
  • "Detection and Assessment of Natural Disaster Damages from Remote Sensing Imagery", Jennifer Kriese (2021, with 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, with TUM-FPF and 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)

Bachelor's Theses

  • "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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