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Christian Heipke
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2020 – today
- 2024
- [i8]Max Meyer, Amadeus Langer, Max Mehltretter, Dries Beyer, Max Coenen, Tobias Schack, Michael Haist, Christian Heipke:
Image-based Deep Learning for the time-dependent prediction of fresh concrete properties. CoRR abs/2402.06611 (2024) - [i7]Markus Hillemann, Robert Langendörfer, Max Heiken, Max Mehltretter, Andreas Schenk, Martin Weinmann, Stefan Hinz, Christian Heipke, Markus Ulrich:
Novel View Synthesis with Neural Radiance Fields for Industrial Robot Applications. CoRR abs/2405.04345 (2024) - 2022
- [j16]Max Coenen
, Tobias Schack, Dries Beyer, Christian Heipke, Michael Haist:
ConsInstancy: learning instance representations for semi-supervised panoptic segmentation of concrete aggregate particles. Mach. Vis. Appl. 33(4): 57 (2022) - [i6]Max Coenen, Dries Beyer, Christian Heipke, Michael Haist:
Learning to Sieve: Prediction of Grading Curves from Images of Concrete Aggregate. CoRR abs/2204.03333 (2022) - [i5]Max Coenen, Tobias Schack, Dries Beyer, Christian Heipke, Michael Haist:
ConsInstancy: Learning Instance Representations for Semi-Supervised Panoptic Segmentation of Concrete Aggregate Particles. CoRR abs/2204.04635 (2022) - 2021
- [j15]Christian Heipke
Gottfried Konecny: From draftsman to Professor emeritus - 75 years of involvement in photogrammetry and remote sensing. Geo spatial Inf. Sci. 24(1): 1-4 (2021) - [j14]Lin Chen
Feature detection and description for image matching: from hand-crafted design to deep learning. Geo spatial Inf. Sci. 24(1): 58-74 (2021) - [i4]Chun Yang
A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases. CoRR abs/2104.06991 (2021) - [i3]Max Coenen, Tobias Schack, Dries Beyer, Christian Heipke, Michael Haist:
Semi-Supervised Segmentation of Concrete Aggregate Using Consensus Regularisation and Prior Guidance. CoRR abs/2104.11028 (2021) - 2020
- [j13]Christian Heipke
Deep learning for geometric and semantic tasks in photogrammetry and remote sensing. Geo spatial Inf. Sci. 23(1): 10-19 (2020)
2010 – 2019
- 2019
- [j12]Alina E. Maas, Franz Rottensteiner
A label noise tolerant random forest for the classification of remote sensing data based on outdated maps for training. Comput. Vis. Image Underst. 188 (2019) - [c22]Xin Wang
Robustifying Relative Orientations With Respect to Repetitive Structures and Very Short Baselines for Global SfM. CVPR Workshops 2019: 2896-2904 - [c21]Max Mehltretter
CNN-Based Cost Volume Analysis as Confidence Measure for Dense Matching. ICCV Workshops 2019: 2070-2079 - [i2]Max Mehltretter, Christian Heipke:
CNN-based Cost Volume Analysis as Confidence Measure for Dense Matching. CoRR abs/1905.07287 (2019) - 2018
- [j11]Steffen Schön
Integrity and Collaboration in Dynamic Sensor Networks. Sensors 18(7): 2400 (2018) - [c20]Gregor Blott
View-Aware Person Re-identification. GCPR 2018: 46-59 - [c19]Max Mehltretter
Multimodal Dense Stereo Matching. GCPR 2018: 407-421 - [c18]Gregor Blott
Semantic Segmentation of Fisheye Images. ECCV Workshops (1) 2018: 181-196 - [c17]Gholam Reza Dini, Karsten Jacobsen, Franz Rottensteiner
A Hybrid Approach for Delineation of Building Footprints From Space-borne Stereo Images. IGARSS 2018: 1652-1655 - [c16]Nicolai Behmann, Max Mehltretter
GPU-enhanced Multimodal Dense Matching. NORCAS 2018: 1-6 - 2017
- [c15]Pedro Achanccaray Diaz
Spatial-temporal conditional random field based model for crop recognition in tropical regions. IGARSS 2017: 3007-3010 - [r2]Christian Heipke:
Data Acquisition, Automation. Encyclopedia of GIS 2017: 401-405 - 2016
- [j10]Victor Andres Ayma
Metaheuristics for Supervised Parameter Tuning of Multiresolution Segmentation. IEEE Geosci. Remote. Sens. Lett. 13(9): 1364-1368 (2016) - 2015
- [j9]Thorsten Hoberg, Franz Rottensteiner
Conditional Random Fields for Multitemporal and Multiscale Classification of Optical Satellite Imagery. IEEE Trans. Geosci. Remote. Sens. 53(2): 659-673 (2015) - [c14]Moritz Menze, Christian Heipke
Discrete Optimization for Optical Flow. GCPR 2015: 16-28 - 2013
- [c13]Sergey Kosov, Franz Rottensteiner
Sequential Gaussian Mixture Models for Two-Level Conditional Random Fields. GCPR 2013: 153-163 - [i1]Sergey Kosov, Pushmeet Kohli, Franz Rottensteiner, Christian Heipke:
A two-layer Conditional Random Field for the classification of partially occluded objects. CoRR abs/1307.3043 (2013) - 2012
- [j8]Flavio Fortes Camargo, Cláudia Maria de Almeida
An open source object-based framework to extract landform classes. Expert Syst. Appl. 39(1): 541-554 (2012) - [j7]Matthias Butenuth, Christian Heipke
Network snakes: graph-based object delineation with active contour models. Mach. Vis. Appl. 23(1): 91-109 (2012) - [j6]Harri Kaartinen, Juha Hyyppä
An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning. Remote. Sens. 4(4): 950-974 (2012) - 2011
- [c12]Thorsten Hoberg, Franz Rottensteiner
Classification of multitemporal remote sensing data of different resolution using Conditional Random Fields. ICCV Workshops 2011: 235-242 - [c11]Marcel Ziems, Christian Heipke
SVM-based road verification with partly non-representative training data. JURSE 2011: 37-40 - [c10]Daniel Muhle, Steffen Abraham, Christian Heipke
Estimating the Mutual Orientation in a Multi-camera System with a Non Overlapping Field of View. PIA 2011: 13-24 - [c9]Ali Özgün Ok, Jan Dirk Wegner, Christian Heipke
In-Strip Matching and Reconstruction of Line Segments from UHR Aerial Image Triplets. PIA 2011: 61-72 - 2010
- [j5]Clément Mallet
A Marked Point Process for Modeling Lidar Waveforms. IEEE Trans. Image Process. 19(12): 3204-3221 (2010)
2000 – 2009
- 2009
- [c8]Clément Mallet
Lidar waveform modeling using a marked point process. ICIP 2009: 1713-1716 - 2008
- [j4]Markus Gerke
Image-based quality assessment of road databases. Int. J. Geogr. Inf. Sci. 22(8): 871-894 (2008) - [r1]Christian Heipke:
Data Acquisition, Automation. Encyclopedia of GIS 2008: 197-200 - 2007
- [j3]Bernd-Michael Wolf, Christian Heipke
Automatic extraction and delineation of single trees from remote sensing data. Mach. Vis. Appl. 18(5): 317-330 (2007) - 2006
- [j2]Ulrich Lenk, Christian Heipke
The Radial Topology Algorithm - A New Approach for Deriving 2.5D GIS Data Models. GeoInformatica 10(4): 447-468 (2006) - 2005
- [c7]Matthias Butenuth, Christian Heipke
Network Snakes-Supported Extraction of Field Boundaries from Imagery. DAGM-Symposium 2005: 417-424 - 2004
- [c6]Christian Heipke
Camera Orientation of Mars Express Using DTM Information. DAGM-Symposium 2004: 544-552 - [c5]Andreas Koch, Christian Heipke
Semantically Correct 2.5D GIS Data - the Integration of a DTM and Topographic Vector Data. SDH 2004: 509-526 - 2003
- [c4]Matthias Butenuth, Bernd-Michael Straub, Christian Heipke
Tree Supported Road Extraction from Arial Images Using Global and Local Context Knowledge. ICVS 2003: 162-171 - 2001
- [j1]Kian Pakzad, Stefan Growe, Christian Heipke, Claus-E. Liedtke:
Multitemporale Luftbildinterpretation: Strategie und Anwendung. Künstliche Intell. 15(4): 10-16 (2001)
1990 – 1999
- 1993
- [c3]Helmut Mayer, Christian Heipke, Gerd Maderlechner:
Wissensbasierte automatische Extraktion von semantischer Information aus Katasterkarten. DAGM-Symposium 1993: 367-374 - 1992
- [c2]Christian Heipke:
Integration of Digital Image Matching and Multi Image Shape from Shading. DAGM-Symposium 1992: 186-198 - 1991
- [c1]Christian Heipke, M. Stephani, G. Strunz, R. Lenz:
Accuracy Potential of a Digital CCD Camera for Photogrammetric Applications. DAGM-Symposium 1991: 320-327 - 1990
- [b1]Christian Heipke:
Integration von Bildzuordnung, Punktbestimmung, Oberflächenrekonstruktion und Orthoprojektion innerhalb der digitalen Photogrammetrie. Technical University Munich, Germany, 1990, ISBN 978-3-7696-9414-7, pp. 1-89
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