Integration von Bildzuordnung, Punktbestimmung, Oberflächenrekonstruktion und Orthoprojektion innerhalb der digitalen Photogrammetrie. - Christian Heipke (1990)

Accuracy Potential of a Digital CCD Camera for Photogrammetric Applications. - Christian Heipke; M. Stephani; G. Strunz; R. Lenz (DAGM-Symposium, 1991)

Integration of Digital Image Matching and Multi Image Shape from Shading. - Christian Heipke (DAGM-Symposium, 1992)

Wissensbasierte automatische Extraktion von semantischer Information aus Katasterkarten. - Helmut Mayer 001; Christian Heipke; Gerd Maderlechner (DAGM-Symposium, 1993)

Multitemporale Luftbildinterpretation: Strategie und Anwendung. - Kian Pakzad; Stefan Growe; Christian Heipke; Claus-E. Liedtke (Künstliche Intell., 2001)

Tree Supported Road Extraction from Arial Images Using Global and Local Context Knowledge. - Matthias Butenuth; Bernd-Michael Straub; Christian Heipke; Felicitas Willrich (ICVS, 2003)

Camera Orientation of Mars Express Using DTM Information. - Christian Heipke; Heinrich Ebner; Ralph Schmidt; Michael Spiegel; Rüdiger Brand; Albert Baumgartner; Gerhard Neukum (DAGM-Symposium, 2004)

Semantically Correct 2.5D GIS Data - the Integration of a DTM and Topographic Vector Data. - Andreas Koch; Christian Heipke (SDH, 2004)

Network Snakes-Supported Extraction of Field Boundaries from Imagery. - Matthias Butenuth; Christian Heipke (DAGM-Symposium, 2005)

The Radial Topology Algorithm - A New Approach for Deriving 2.5D GIS Data Models. - Ulrich Lenk; Christian Heipke (GeoInformatica, 2006)

Automatic extraction and delineation of single trees from remote sensing data. - Bernd-Michael Wolf; Christian Heipke (Mach. Vis. Appl., 2007)

Image-based quality assessment of road databases. - Markus Gerke; Christian Heipke (Int. J. Geogr. Inf. Sci., 2008)

Data Acquisition, Automation. - Christian Heipke (Encyclopedia of GIS, 2008)

Lidar waveform modeling using a marked point process. - Clément Mallet; Florent Lafarge; Frédéric Bretar; Uwe Soergel; Christian Heipke (ICIP, 2009)

A Marked Point Process for Modeling Lidar Waveforms. - Clément Mallet; Florent Lafarge; Michel Roux; Uwe Soergel; Frédéric Bretar; Christian Heipke (IEEE Trans. Image Process., 2010)

Classification of multitemporal remote sensing data of different resolution using Conditional Random Fields. - Thorsten Hoberg; Franz Rottensteiner; Christian Heipke (ICCV Workshops, 2011)

SVM-based road verification with partly non-representative training data. - Marcel Ziems; Christian Heipke; Franz Rottensteiner (JURSE, 2011)

Estimating the Mutual Orientation in a Multi-camera System with a Non Overlapping Field of View. - Daniel Muhle; Steffen Abraham; Christian Heipke; Manfred Wiggenhagen (PIA, 2011)

In-Strip Matching and Reconstruction of Line Segments from UHR Aerial Image Triplets. - Ali Özgün Ok; Jan Dirk Wegner; Christian Heipke; Franz Rottensteiner; Uwe Soergel; Vedat Toprak (PIA, 2011)

An open source object-based framework to extract landform classes. - Flavio Fortes Camargo; Cláudia Maria de Almeida; Gilson Alexandre Ostwald Pedro da Costa; Raul Queiroz Feitosa; Dário Augusto Borges Oliveira; Christian Heipke; Rodrigo S. Ferreira (Expert Syst. Appl., 2012)

Network snakes: graph-based object delineation with active contour models. - Matthias Butenuth; Christian Heipke (Mach. Vis. Appl., 2012)

An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning. - Harri Kaartinen; Juha Hyyppä; Xiaowei Yu; Mikko Vastaranta; Hannu Hyyppä; Antero Kukko; Markus Holopainen; Christian Heipke; Manuela Hirschmugl; Felix Morsdorf; Erik Næsset; Juho Pitkänen; et al. (Remote. Sens., 2012)

Sequential Gaussian Mixture Models for Two-Level Conditional Random Fields. - Sergey Kosov; Franz Rottensteiner; Christian Heipke (GCPR, 2013)

A two-layer Conditional Random Field for the classification of partially occluded objects. - Sergey Kosov; Pushmeet Kohli; Franz Rottensteiner; Christian Heipke (CoRR, 2013)

Discrete Optimization for Optical Flow. - Moritz Menze; Christian Heipke; Andreas Geiger 001 (GCPR, 2015)

Conditional Random Fields for Multitemporal and Multiscale Classification of Optical Satellite Imagery. - Thorsten Hoberg; Franz Rottensteiner; Raul Queiroz Feitosa; Christian Heipke (IEEE Trans. Geosci. Remote. Sens., 2015)

Metaheuristics for Supervised Parameter Tuning of Multiresolution Segmentation. - Victor Andres Ayma; Pedro Achanccaray Diaz; Raul Queiroz Feitosa; Patrick Nigri Happ; Gilson A. O. P. Costa; Tobias Klinger; Christian Heipke (IEEE Geosci. Remote. Sens. Lett., 2016)

Spatial-temporal conditional random field based model for crop recognition in tropical regions. - Pedro Achanccaray Diaz; Raul Queiroz Feitosa; Franz Rottensteiner; Ieda Del'Arco Sanches; Christian Heipke (IGARSS, 2017)

Data Acquisition, Automation. - Christian Heipke (Encyclopedia of GIS, 2017)

View-Aware Person Re-identification. - Gregor Blott; Jie Yu 013; Christian Heipke (GCPR, 2018)

Multimodal Dense Stereo Matching. - Max Mehltretter; Sebastian P. Kleinschmidt; Bernardo Wagner; Christian Heipke (GCPR, 2018)

Semantic Segmentation of Fisheye Images. - Gregor Blott; Masato Takami; Christian Heipke (ECCV Workshops (1), 2018)

A Hybrid Approach for Delineation of Building Footprints From Space-borne Stereo Images. - Gholam Reza Dini; Karsten Jacobsen; Franz Rottensteiner; Mehdi Ravanbakhsh; Paolo Gamba; Christian Heipke (IGARSS, 2018)

GPU-enhanced Multimodal Dense Matching. - Nicolai Behmann; Max Mehltretter; Sebastian P. Kleinschmidt; Bernardo Wagner; Christian Heipke; Holger Blume (NORCAS, 2018)

Integrity and Collaboration in Dynamic Sensor Networks. - Steffen Schön; Claus Brenner; Hamza Alkhatib; Max Coenen; Hani Dbouk; Nicolas Garcia Fernandez; Colin Fischer; Christian Heipke; Katja Lohmann; Ingo Neumann; Uyen Nguyen; Jens-André Paffenholz; et al. (Sensors, 2018)

Robustifying Relative Orientations With Respect to Repetitive Structures and Very Short Baselines for Global SfM. - Xin Wang 096; Teng Xiao; Michael Gruber; Christian Heipke (CVPR Workshops, 2019)

CNN-Based Cost Volume Analysis as Confidence Measure for Dense Matching. - Max Mehltretter; Christian Heipke (ICCV Workshops, 2019)

A label noise tolerant random forest for the classification of remote sensing data based on outdated maps for training. - Alina E. Maas; Franz Rottensteiner; Christian Heipke (Comput. Vis. Image Underst., 2019)

Deep learning for geometric and semantic tasks in photogrammetry and remote sensing. - Christian Heipke; Franz Rottensteiner (Geo spatial Inf. Sci., 2020)

A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases. - Chun Yang; Franz Rottensteiner; Christian Heipke (CoRR, 2021)

Semi-Supervised Segmentation of Concrete Aggregate Using Consensus Regularisation and Prior Guidance. - Max Coenen; Tobias Schack; Dries Beyer; Christian Heipke; Michael Haist (CoRR, 2021)

Feature detection and description for image matching: from hand-crafted design to deep learning. - Lin Chen 024; Franz Rottensteiner; Christian Heipke (Geo spatial Inf. Sci., 2021)

Gottfried Konecny: From draftsman to Professor emeritus - 75 years of involvement in photogrammetry and remote sensing. - Christian Heipke; Deren Li (Geo spatial Inf. Sci., 2021)

Learning to Sieve: Prediction of Grading Curves from Images of Concrete Aggregate. - Max Coenen; Dries Beyer; Christian Heipke; Michael Haist (CoRR, 2022)

ConsInstancy: learning instance representations for semi-supervised panoptic segmentation of concrete aggregate particles. - Max Coenen; Tobias Schack; Dries Beyer; Christian Heipke; Michael Haist (Mach. Vis. Appl., 2022)

Image-based Deep Learning for the time-dependent prediction of fresh concrete properties. - Max Meyer; Amadeus Langer; Max Mehltretter; Dries Beyer; Max Coenen; Tobias Schack; Michael Haist; Christian Heipke (CoRR, 2024)

Novel View Synthesis with Neural Radiance Fields for Industrial Robot Applications. - Markus Hillemann; Robert Langendörfer; Max Heiken; Max Mehltretter; Andreas Schenk; Martin Weinmann; Stefan Hinz; Christian Heipke; Markus Ulrich (CoRR, 2024)