Sven Sickert
Sven Sickert
Computer Vision Group, Friedrich Schiller University Jena, Germany
Vahvistettu sähköpostiosoite verkkotunnuksessa uni-jena.de - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms
G Tramontana, M Jung, CR Schwalm, K Ichii, G Camps-Valls, B Ráduly, ...
Biogeosciences 13 (14), 4291-4313, 2016
2752016
Convolutional patch networks with spatial prior for road detection and urban scene understanding
CA Brust, S Sickert, M Simon, E Rodner, J Denzler
arXiv preprint arXiv:1502.06344, 2015
1022015
Efficient convolutional patch networks for scene understanding
CA Brust, S Sickert, M Simon, E Rodner, J Denzler
CVPR Scene Understanding Workshop, 2015
152015
Neither Quick Nor Proper--Evaluation of QuickProp for Learning Deep Neural Networks
CA Brust, S Sickert, M Simon, E Rodner, J Denzler
arXiv preprint arXiv:1606.04333, 2016
42016
Semantic Volume Segmentation with Iterative Context Integration for Bio-medical Image Stacks
S Sickert, E Rodner, J Denzler
Pattern Recognition and Image Analysis 26 (1), 197-204, 2016
32016
Semantic Segmentation of Outdoor Areas using 3D Moment Invariants and Contextual Cues
S Sickert, J Denzler
German Conference on Pattern Recognition, 165-176, 2017
22017
Intraoperative online image-guided biopsie on the basis of a Deep Learning algorithm to the automatic detection of head and neck carcinoma by means of real time Nah-Infrarot …
A Dittberner, S Sickert, J Denzler, O Guntinias-Lichius
Laryngo-Rhino-Otologie 98 (S 02), 11461, 2019
1*2019
Semantic Volume Segmentation with Iterative Context Integration
S Sickert, E Rodner, J Denzler
Open German-Russian Workshop on Pattern Recognition and Image Understanding …, 2014
12014
Automatic and Objective Facial Palsy Grading Index Prediction Using Deep Feature Regression
A Raj, O Mothes, S Sickert, GF Volk, O Guntinas-Lichius, J Denzler
Annual Conference on Medical Image Understanding and Analysis, 253-266, 2020
2020
Region-Based Edge Convolutions With Geometric Attributes for the Semantic Segmentation of Large-Scale 3-D Point Clouds
J Contreras, S Sickert, J Denzler
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020
2020
Facial Behavior Analysis using 4D Curvature Statistics for Presentation Attack Detection
M Thümmel, S Sickert, J Denzler
arXiv preprint arXiv:1910.06056, 2019
2019
Automatically Estimating Forestal Characteristics in 3D Point Clouds using Deep Learning
J Contreras, S Sickert, J Denzler
iDiv Annual Conference 2019, 2019
2019
Automated Polyp Differentiation on Coloscopic Data using Semantic Segmentation with CNNs
M Arlt, J Peter, S Sickert, CA Brust, J Denzler, A Stallmach
Endoscopy 51 (04), OP1, 2019
2019
Development of an aut. image analysis-method by deep-learning-methods for the detection of head and neck cancer based on stand. real-time near-infrared ICG fluorescence …
A Dittberner, S Sickert, J Denzler, O Guntinas-Lichius, T Bitter, ...
Laryngo-Rhino-Otologie 97 (S 02), 10664, 2018
2018
Automated MRI Volumetry of the Olfactory Bulb
N Schmitt, S Sickert, O Guntinas-Lichius, T Bitter, J Denzler
Laryngo-Rhino-Otologie 97 (S 02), 10116, 2018
2018
Semantic Segmentation of 3D Data Using Contextual Cues
S Sickert
Friedrich-Schiller-Universität Jena, 2018
2018
Predicting Carbon Dioxide and Energy Fluxes with Empirical Approaches in FLUXNET.
G Tramontana, M Jung, CR Schwalm, K Ichii, G Camps-Valls, B Ráduly, ...
European Geosciences Union General Assembly, 15814, 2017
2017
Detecting Changes in Essential Ecosystem and Biodiversity Properties - Towards a Biosphere Atmosphere Change Index
E Rodner, S Sickert, Y Guanche, M Jung, P Bodesheim
2016
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Artikkelit 1–18