Karsten Vogt left the Institut für Informationsverabeitung.
Publications and research activities from the time after the departure are not listed here.
Karsten Vogt studied Computer Science at the Leibniz University of Hannover. He wrote his Master Thesis on the topic "Detektion regelmäßiger Strukturen durch Level-Set-Segmentierung". Since January of 2010 he has been working toward a PhD degree at the Institut für Informationsverarbeitung which he finished in 2018 on the topic of "Bayessches Transferlernen für die Semantische Segmentierung von Luftbildern". His research interests are machine learning and image processing on remote sensing data with a focus on transfer learning, Markov-Random-Field (MRF) modeling and Markov-Chain-Monte-Carlo (MCMC) sampling methods.
Show selected publications only
Unsupervised Source Selection for Domain Adaptation
Photogrammetric Engineering & Remote Sensing, American Society for Photogrammetry and Remote Sensing, Vol. 84, No. 5, pp. 249--261, May 2018
Boosted Unsupervised Multi-Source Selection for Domain Adaptation
ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, Vol. 4, June 2017
Soft Margin Bayes-Point-Machine Classification via Adaptive Direction Sampling
Scandinavian Conference on Image Analysis, Springer, pp. 313-324, June 2017
Impact of Hyperspectral Image Coding on Subpixel Detection
Proceedings of 32nd Picture Coding Symposium, Nürnberg, December 2016
Facial Landmark Localization using Robust Relationship Priors and Approximative Gibbs Sampling
Advances in Visual Computing
, Springer, Vol. 9475, pp. 365 -- 376, Las Vegas, December 2015, edited by George Bebis et al.
Improved Threshold Selection by using Calibrated Probabilities for Random Forest Classifiers
12th Conference on Computer and Robot Vision (CRV), Halifax, Nova Scotia, Canada, June 2015
Probabilistic Nodes for Modelling Classification Uncertainty for Random Forest
14th IAPR International Conference on Machine Vision Applications (MVA), Tokio, Japan, May 2015
Automated Skin Cancer-Screening with contact free" Remote-Dermatoscopy"
JOURNAL DER DEUTSCHEN DERMATOLOGISCHEN GESELLSCHAFT, WILEY-BLACKWELL, Vol. 13, pp. 164-165, April 2015
Cascaded Random Forest for Fast Object Detection
18th Scandinavian Conference on Image Analysis (SCIA), Espoo, Finland, June 2013
Semi-automatic Quality Control of Topographic Data Sets
Photogrammetric Engineering & Remote Sensing, Vol. 78, No. 9, pp. 959--972, September 2012
Semiautomatic Quality Control of Topographic Reference Datasets
ISPRS Commission 4 Symposium, Orlando, Florida, November 2010
Automated Extraction of Plantations from Ikonos Satellite Imagery using a Level Set Based Segmentation Method
ISPRS Technical Commission VII Symposium, International Society for Photogrammetry and Remote Sensing, Vol. 38, No. 7, pp. 275-280, 2010