Publications

Assessing 3D Volumetric Asymmetry in Facial Palsy Patients via Advanced Multi-view Landmarks and Radial Curves
Tim Büchner and Sven Sickert and Gerd F. Volk and Orlando Guntinas-Lichius and Joachim Denzler.
Machine Vision and Applications. 36 (1): 2025.
[bibtex] [pdf] [abstract]

Modifying Generative Distributions in Latent Diffusion Models to Improve Alignment with Desired Properties
Sven Sickert and Maria Gogolev and Niklas Penzel and Tim Büchner and Joachim Denzler.
International Conference on Machine Vision and Applications (MVA). 2025. (accepted)
[bibtex] [abstract]

Reducing the Gap Between Mimics and Muscles by Enabling Facial Feature Analysis during sEMG Recordings [Abstract]
Tim Büchner and Sven Sickert and Gerd F. Volk and Christoph Anders and Joachim Denzler and Orlando Guntinas-Lichius.
Congress of the Confederation of European ORL-HNS. 2024.
[bibtex] [pdf] [web] [abstract]

An Automatic, Objective Method to Measure and Visualize Volumetric Changes in Patients with Facial Palsy during 3D Video Recordings [Abstract]
Tim Büchner and Sven Sickert and Gerd F. Volk and Joachim Denzler and Orlando Guntinas-Lichius.
95th Annual Meeting German Society of Oto-Rhino-Laryngology, Head and Neck Surgery e. V., Bonn. 2024.
[bibtex] [web] [abstract]

Measuring and Visualizing Volumetric Changes Before and After 10-Day Biofeedback Therapy in Patients with Synkinetic Facial Palsy Using 3D Video Recordings [Abstract]
Tim Büchner and Sven Sickert and Gerd F. Volk and Martin Heinrich and Joachim Denzler and Orlando Guntinas-Lichius.
Congress of the Confederation of European ORL-HNS. 2024.
[bibtex] [pdf] [web] [abstract]

Let's Get the FACS Straight - Reconstructing Obstructed Facial Features
Tim Büchner and Sven Sickert and Gerd F. Volk and Christoph Anders and Orlando Guntinas-Lichius and Joachim Denzler.
International Conference on Computer Vision Theory and Applications (VISAPP). Pages 727-736. 2023.
[bibtex] [pdf] [web] [abstract]

Hard is the Task, the Samples are Few: A German Chiasmus Dataset
Felix Schneider and Sven Sickert and Phillip Brandes and Sophie Marshall and Joachim Denzler.
Language Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics (LTC). Pages 255-260. 2023.
[bibtex] [pdf] [code] [abstract]

From Faces To Volumes - Measuring Volumetric Asymmetry in 3D Facial Palsy Scans
Tim Büchner and Sven Sickert and Gerd F. Volk and Orlando Guntinas-Lichius and Joachim Denzler.
International Symposium on Visual Computing (ISVC). Pages 121-132. 2023. Best Paper Award
[bibtex] [pdf] [web] [abstract]

Using 2D and 3D Face Representations to Generate Comprehensive Facial Electromyography Intensity Maps
Tim Büchner and Sven Sickert and Roland Graßme and Christoph Anders and Orlando Guntinas-Lichius and Joachim Denzler.
International Symposium on Visual Computing (ISVC). Pages 136-147. 2023.
[bibtex] [pdf] [web] [code] [abstract]

Automatic Objective Severity Grading of Peripheral Facial Palsy Using 3D Radial Curves Extracted from Point Clouds
Tim Büchner and Sven Sickert and Gerd F. Volk and Orlando Guntinas-Lichius and Joachim Denzler.
Challenges of Trustable AI and Added-Value on Health. Pages 179-183. 2022.
[bibtex] [pdf] [web] [code] [abstract]

Metaphor Detection for Low Resource Languages: From Zero-Shot to Few-Shot Learning in Middle High German
Felix Schneider and Sven Sickert and Phillip Brandes and Sophie Marshall and Joachim Denzler.
LREC Workshop on Multiword Expression (LREC-WS). Pages 75-80. 2022.
[bibtex] [pdf] [web] [code] [abstract]

Facial Behavior Analysis using 4D Curvature Statistics for Presentation Attack Detection
Martin Thümmel and Sven Sickert and Joachim Denzler.
IEEE International Workshop on Biometrics and Forensics (IWBF). Pages 1-6. 2021.
[bibtex] [pdf] [web] [code] [abstract]

Region-based Edge Convolutions with Geometric Attributes for the Semantic Segmentation of Large-scale 3D Point Clouds
Jhonatan Contreras and Sven Sickert and Joachim Denzler.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13 (1): pages 2598-2609. 2020.
[bibtex] [pdf] [web] [abstract]

Automatic and Objective Facial Palsy Grading Index Prediction using Deep Feature Regression
Anish Raj and Oliver Mothes and Sven Sickert and Gerd F. Volk and Orlando Guntinas-Lichius and Joachim Denzler.
Annual Conference on Medical Image Understanding and Analysis (MIUA). Pages 253-266. 2020.
[bibtex] [pdf] [web] [abstract]

Automated Polyp Differentiation on Coloscopic Data using Semantic Segmentation with CNNs
Marie Arlt and Jack Peter and Sven Sickert and Clemens-Alexander Brust and Joachim Denzler and Andreas Stallmach.
Endoscopy. 51 (04): pages 4. 2019. Abstract + Poster Presentation
[bibtex] [web] [abstract]

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 Near-Infrared ICG Fluorescence Endoscopy
Andreas Dittberner and Sven Sickert and Joachim Denzler and Orlando Guntinas-Lichius.
Laryngo-Rhino-Otologie. 98 (S02): pages 115. 2019.
[bibtex] [web]

Automatically Estimating Forestal Characteristics in 3D Point Clouds using Deep Learning
Jhonatan Contreras and Joachim Denzler and Sven Sickert.
iDiv Annual Conference. 2019. Abstract + Poster Presentation
[bibtex] [web] [abstract]

Development of an Automatic Image Analysis Method by Deep Learning Methods for the Detection of Head and Neck Cancer Based on Standard Real-Time Near-Infrared ICG Fluorescence Endoscopy Images (NIR-ICG-FE)
Andreas Dittberner and Sven Sickert and Joachim Denzler and Orlando Guntinas-Lichius and Thomas Bitter and Sven Koscielny.
Laryngo-Rhino-Otologie. 97 (S02): pages 97. 2018.
[bibtex] [web] [abstract]

Automated MRI Volumetry of the Olfactory Bulb
Niclas Schmitt and Sven Sickert and Orlando Guntinas-Lichius and Thomas Bitter and Joachim Denzler.
Laryngo-Rhino-Otologie. 97 (S02): pages 36. 2018.
[bibtex] [web] [abstract]

Predicting Carbon Dioxide and Energy Fluxes with Empirical Approaches in FLUXNET
Gianluca Tramontana and Martin Jung and Christopher R. Schwalm and Kazuhito Ichii and Gustau Camps-Valls and Botond Raduly and Markus Reichstein and M. Altaf Arain and Alessandro Cescatti and Gerard Kiely and Lutz Merbold and Penelope Serrano-Ortiz and Sven Sickert and Sebastian Wolf and Dario Papale.
European Geosciences Union General Assembly (EGU): Abstract + Poster Presentation. 2017.
[bibtex] [pdf] [web]

Semantic Segmentation of Outdoor Areas using 3D Moment Invariants and Contextual Cues
Sven Sickert and Joachim Denzler.
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 165-176. 2017.
[bibtex] [pdf] [abstract]

Semantic Volume Segmentation with Iterative Context Integration for Bio-medical Image Stacks
Sven Sickert and Erik Rodner and Joachim Denzler.
Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications (PRIA). 26 (1): pages 197-204. 2016.
[bibtex] [pdf] [abstract]

Neither Quick Nor Proper -- Evaluation of QuickProp for Learning Deep Neural Networks
Clemens-Alexander Brust and Sven Sickert and Marcel Simon and Erik Rodner and Joachim Denzler. 2016. Technical Report TR-FSU-INF-CV-2016-01
[bibtex] [pdf] [abstract]

Predicting Carbon Dioxide and Energy Fluxes Across Global FLUXNET Sites with Regression Algorithms
Gianluca Tramontana and Martin Jung and Christopher R. Schwalm and Kazuhito Ichii and Gustau Camps-Valls and Botond Raduly and Markus Reichstein and M. Altaf Arain and Alessandro Cescatti and Gerard Kiely and Lutz Merbold and Penelope Serrano-Ortiz and Sven Sickert and Sebastian Wolf and and Dario Papale.
Biogeosciences. 13 (14): pages 4291-4313. 2016.
[bibtex] [web] [abstract]

Abstract: Spatio-temporal fields of land\~{A}\^{A}\textcent{}\~{A}\textcent{}\^{a}\mbox{\texteuro}{}\v{s}\^{A}\lnot{}\~{A}\textcent{}\^{a}\lnot{}\AA{}``atmosphere fluxes derived from data-driven models can complement simulations by process-based land surface models. While a number of strategies for empirical models with eddy-covariance flux data have been applied, a systematic intercomparison of these methods has been missing so far. In this study, we performed a cross-validation experiment for predicting carbon dioxide, latent heat, sensible heat and net radiation fluxes across different ecosystem types with 11 machine learning (ML) methods from four different classes (kernel methods, neural networks, tree methods, and regression splines). We applied two complementary setups: (1) 8-day average fluxes based on remotely sensed data and (2) daily mean fluxes based on meteorological data and a mean seasonal cycle of remotely sensed variables. The patterns of predictions from different ML and experimental setups were highly consistent. There were systematic differences in performance among the fluxes, with the following ascending order: net ecosystem exchange (R2\~{A}\^{A}\textcent{}\~{A}\textcent{}\^{a}\mbox{\texteuro}{}\v{s}\^{A}\lnot{}\~{A}\^{A}\textasciimacron{}<\~{A}\^{A}\textcent{}\~{A}\textcent{}\^{a}\mbox{\texteuro}{}\v{s}\^{A}\lnot{}\~{A}\^{A}\textasciimacron{}0.5), ecosystem respiration (R2\~{A}\^{A}\textcent{}\~{A}\textcent{}\^{a}\mbox{\texteuro}{}\v{s}\^{A}\lnot{}\~{A}\^{A}\textasciimacron{}>\~{A}\^{A}\textcent{}\~{A}\textcent{}\^{a}\mbox{\texteuro}{}\v{s}\^{A}\lnot{}\~{A}\^{A}\textasciimacron{}0.6), gross primary production (R2>\~{A}\^{A}\textcent{}\~{A}\textcent{}\^{a}\mbox{\texteuro}{}\v{s}\^{A}\lnot{}\~{A}\^{A}\textasciimacron{}0.7), latent heat (R2\~{A}\^{A}\textcent{}\~{A}\textcent{}\^{a}\mbox{\texteuro}{}\v{s}\^{A}\lnot{}\~{A}\^{A}\textasciimacron{}>\~{A}\^{A}\textcent{}\~{A}\textcent{}\^{a}\mbox{\texteuro}{}\v{s}\^{A}\lnot{}\~{A}\^{A}\textasciimacron{}0.7), sensible heat (R2\~{A}\^{A}\textcent{}\~{A}\textcent{}\^{a}\mbox{\texteuro}{}\v{s}\^{A}\lnot{}\~{A}\^{A}\textasciimacron{}>\~{A}\^{A}\textcent{}\~{A}\textcent{}\^{a}\mbox{\texteuro}{}\v{s}\^{A}\lnot{}\~{A}\^{A}\textasciimacron{}0.7), and net radiation (R2\~{A}\^{A}\textcent{}\~{A}\textcent{}\^{a}\mbox{\texteuro}{}\v{s}\^{A}\lnot{}\~{A}\^{A}\textasciimacron{}>\~{A}\^{A}\textcent{}\~{A}\textcent{}\^{a}\mbox{\texteuro}{}\v{s}\^{A}\lnot{}\~{A}\^{A}\textasciimacron{}0.8). The ML methods predicted the across-site variability and the mean seasonal cycle of the observed fluxes very well (R2\~{A}\^{A}\textcent{}\~{A}\textcent{}\^{a}\mbox{\texteuro}{}\v{s}\^{A}\lnot{}\~{A}\^{A}\textasciimacron{}>\~{A}\^{A}\textcent{}\~{A}\textcent{}\^{a}\mbox{\texteuro}{}\v{s}\^{A}\lnot{}\~{A}\^{A}\textasciimacron{}0.7), while the 8-day deviations from the mean seasonal cycle were not well predicted (R2\~{A}\^{A}\textcent{}\~{A}\textcent{}\^{a}\mbox{\texteuro}{}\v{s}\^{A}\lnot{}\~{A}\^{A}\textasciimacron{}<\~{A}\^{A}\textcent{}\~{A}\textcent{}\^{a}\mbox{\texteuro}{}\v{s}\^{A}\lnot{}\~{A}\^{A}\textasciimacron{}0.5). Fluxes were better predicted at forested and temperate climate sites than at sites in extreme climates or less represented by training data (e.g., the tropics). The evaluated large ensemble of ML-based models will be the basis of new global flux products.

Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding
Clemens-Alexander Brust and Sven Sickert and Marcel Simon and Erik Rodner and Joachim Denzler.
International Conference on Computer Vision Theory and Applications (VISAPP). Pages 510-517. 2015.
[bibtex] [pdf] [abstract]

Efficient Convolutional Patch Networks for Scene Understanding
Clemens-Alexander Brust and Sven Sickert and Marcel Simon and Erik Rodner and Joachim Denzler.
CVPR Workshop on Scene Understanding (CVPR-WS). 2015. Extended Abstract + Poster Presentation
[bibtex] [pdf] [abstract]

An ensemble of global high-resolution products of energy fluxes over land
Martin Jung and Kazuhito Ichii and Gustau Camps-Valls and Dario Papale and Gianluca Tramontana and Sven Sickert and Christopher Schwalm and Markus Reichstein.
International Scientific Conference on the Global Water and Energy Cycle (GEWEX). 2014. Poster
[bibtex] [abstract]

Semantic Volume Segmentation with Iterative Context Integration
Sven Sickert and Erik Rodner and Joachim Denzler.
Open German-Russian Workshop on Pattern Recognition and Image Understanding (OGRW). Pages 220-225. 2014.
[bibtex] [pdf] [web] [abstract]