Roland Kwitt

122 papers A* 19A 2B 6C 2Misc 1Journal 54Unranked 37
YearRankTypeTitle / Venue / Authors
2025 A* conf
CARL: A Framework for Equivariant Image Registration.
CVPR
Thomas Hastings Greer, Lin Tian, François-Xavier Vialard, Roland Kwitt, Raúl San José Estépar, Marc Niethammer
2025 C conf
Ph.D. Forum: Multi-Agent Reinforcement Learning in Wireless Network Communication.
WoWMoM
Sabrina Pochaba, Peter Dorfinger, Matthias Herlich, Roland Kwitt, Simon Hirlaender
2025 J jnl
The Flood Complex: Large-Scale Persistent Homology on Millions of Points.
CoRR
Florian Graf, Paolo Pellizzoni, Martin Uray, Stefan Huber, Roland Kwitt
2024 J jnl
CARL: A Framework for Equivariant Image Registration.
CoRR
Thomas Hastings Greer, Lin Tian, François-Xavier Vialard, Roland Kwitt, Raúl San José Estépar, Marc Niethammer
2024 — conf
MultiGradICON: A Foundation Model for Multimodal Medical Image Registration.
WBIR
Basar Demir, Lin Tian, Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Raúl San José Estépar, Sylvain Bouix, Richard J. Rushmore, Ebrahim Ebrahim, Marc Niethammer
2024 A* conf
Neural Persistence Dynamics.
NeurIPS
Sebastian Zeng, Florian Graf, Martin Uray, Stefan Huber, Roland Kwitt
2024 J jnl
Neural Persistence Dynamics.
CoRR
Sebastian Zeng, Florian Graf, Martin Uray, Stefan Huber, Roland Kwitt
2024 J jnl
Position Paper: Challenges and Opportunities in Topological Deep Learning.
CoRR
Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Liò, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi
2024 A* conf
Position: Topological Deep Learning is the New Frontier for Relational Learning.
ICML
Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Lio, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi
2024 J jnl
multiGradICON: A Foundation Model for Multimodal Medical Image Registration.
CoRR
Basar Demir, Lin Tian, Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Raúl San José Estépar, Sylvain Bouix, Richard Jarrett Rushmore, Ebrahim Ebrahim, Marc Niethammer
2024 — conf
uniGradICON: A Foundation Model for Medical Image Registration.
MICCAI (2)
Lin Tian, Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Raúl San José Estépar, Sylvain Bouix, Richard J. Rushmore, Marc Niethammer
2024 J jnl
uniGradICON: A Foundation Model for Medical Image Registration.
CoRR
Lin Tian, Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Raúl San José Estépar, Sylvain Bouix, Richard J. Rushmore, Marc Niethammer
2023 A* conf
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency.
CVPR
Lin Tian, Thomas Hastings Greer, François-Xavier Vialard, Roland Kwitt, Raúl San José Estépar, Richard Jarrett Rushmore, Nikolaos Makris, Sylvain Bouix, Marc Niethammer
2023 — conf
Inverse Consistency by Construction for Multistep Deep Registration.
MICCAI (10)
Thomas Hastings Greer, Lin Tian, François-Xavier Vialard, Roland Kwitt, Sylvain Bouix, Raúl San José Estépar, Richard J. Rushmore, Marc Niethammer
2023 J jnl
Inverse Consistency by Construction for Multistep Deep Registration.
CoRR
Thomas Hastings Greer, Lin Tian, François-Xavier Vialard, Roland Kwitt, Sylvain Bouix, Raúl San José Estépar, Richard Jarrett Rushmore, Marc Niethammer
2023 A* conf
Latent SDEs on Homogeneous Spaces.
NeurIPS
Sebastian Zeng, Florian Graf, Roland Kwitt
2023 J jnl
Latent SDEs on Homogeneous Spaces.
CoRR
Sebastian Zeng, Florian Graf, Roland Kwitt
2022 J jnl
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency.
CoRR
Lin Tian, Thomas Hastings Greer, François-Xavier Vialard, Roland Kwitt, Raúl San José Estépar, Marc Niethammer
2022 A* conf
On Measuring Excess Capacity in Neural Networks.
NeurIPS
Florian Graf, Sebastian Zeng, Bastian Rieck, Marc Niethammer, Roland Kwitt
2022 J jnl
On Measuring Excess Capacity in Neural Networks.
CoRR
Florian Graf, Sebastian Zeng, Marc Niethammer, Roland Kwitt
2021 J jnl
Comparing object recognition in humans and deep convolutional neural networks - An eye tracking study.
CoRR
Leonard E. van Dyck, Roland Kwitt, Sebastian J. Denzler, Walter R. Gruber
2021 A* conf
Dissecting Supervised Constrastive Learning.
ICML
Florian Graf, Christoph D. Hofer, Marc Niethammer, Roland Kwitt
2021 J jnl
Dissecting Supervised Constrastive Learning.
CoRR
Florian Graf, Christoph D. Hofer, Marc Niethammer, Roland Kwitt
2021 A* conf
ICON: Learning Regular Maps Through Inverse Consistency.
ICCV
Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Marc Niethammer
2021 J jnl
ICON: Learning Regular Maps Through Inverse Consistency.
CoRR
Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Marc Niethammer
2021 J jnl
Sparse Pose Trajectory Completion.
CoRR
Bo Liu, Mandar Dixit, Roland Kwitt, Gang Hua, Nuno Vasconcelos
2021 A* conf
Topological Attention for Time Series Forecasting.
NeurIPS
Sebastian Zeng, Florian Graf, Christoph D. Hofer, Roland Kwitt
2021 J jnl
Topological Attention for Time Series Forecasting.
CoRR
Sebastian Zeng, Florian Graf, Christoph D. Hofer, Roland Kwitt
2020 J jnl
A Shooting Formulation of Deep Learning.
CoRR
François-Xavier Vialard, Roland Kwitt, Susan Wei, Marc Niethammer
2020 A* conf
A shooting formulation of deep learning.
NeurIPS
François-Xavier Vialard, Roland Kwitt, Susan Wei, Marc Niethammer
2020 J jnl
An empirical assessment of appearance descriptors applied to MRI for automated diagnosis of TLE and MCI.
Comput. Biol. Medicine
Christoph D. Hofer, Roland Kwitt, Yvonne Höller, Eugen Trinka, Andreas Uhl
2020 A* conf
Graph Filtration Learning.
ICML
Christoph D. Hofer, Florian Graf, Bastian Rieck, Marc Niethammer, Roland Kwitt
2020 A* conf
Topologically Densified Distributions.
ICML
Christoph D. Hofer, Florian Graf, Marc Niethammer, Roland Kwitt
2020 J jnl
Topologically Densified Distributions.
CoRR
Christoph D. Hofer, Florian Graf, Marc Niethammer, Roland Kwitt
2019 A* conf
Connectivity-Optimized Representation Learning via Persistent Homology.
ICML
Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Mandar Dixit
2019 J jnl
Connectivity-Optimized Representation Learning via Persistent Homology.
CoRR
Christoph D. Hofer, Roland Kwitt, Mandar Dixit, Marc Niethammer
2019 J jnl
Deep Multi-View Learning via Task-Optimal CCA.
CoRR
Heather D. Couture, Roland Kwitt, J. S. Marron, Melissa A. Troester, Charles M. Perou, Marc Niethammer
2019 J jnl
Fast predictive simple geodesic regression.
Medical Image Anal.
Zhipeng Ding, Greg M. Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer
2019 J jnl
Graph Filtration Learning.
CoRR
Christoph D. Hofer, Roland Kwitt, Marc Niethammer
2019 J jnl
Image-Based Methods for Phase Estimation, Gating, and Temporal Superresolution of Cardiac Ultrasound.
IEEE Trans. Biomed. Eng.
Deepak Roy Chittajallu, Matthew McCormick, Samuel Gerber, Tomasz J. Czernuszewicz, Ryan C. Gessner, Monte S. Willis, Marc Niethammer, Roland Kwitt, Stephen R. Aylward
2019 J jnl
Learning Representations of Persistence Barcodes.
J. Mach. Learn. Res.
Christoph D. Hofer, Roland Kwitt, Marc Niethammer
2019 A* conf
Metric Learning for Image Registration.
CVPR
Marc Niethammer, Roland Kwitt, François-Xavier Vialard
2019 J jnl
Metric Learning for Image Registration.
CoRR
Marc Niethammer, Roland Kwitt, François-Xavier Vialard
2019 J jnl
Stochastic block models with multiple continuous attributes.
Appl. Netw. Sci.
Natalie Stanley, Thomas Bonacci, Roland Kwitt, Marc Niethammer, Peter J. Mucha
2018 J jnl
Brain extraction from normal and pathological images: A joint PCA/Image-Reconstruction approach.
NeuroImage
Xu Han, Roland Kwitt, Stephen R. Aylward, Spyridon Bakas, Bjoern H. Menze, Alexander Asturias, Paul M. Vespa, John D. Van Horn, Marc Niethammer
2018 A* conf
Feature Space Transfer for Data Augmentation.
CVPR
Bo Liu, Xudong Wang, Mandar Dixit, Roland Kwitt, Nuno Vasconcelos
2018 J jnl
Feature Space Transfer for Data Augmentation.
CoRR
Bo Liu, Mandar Dixit, Roland Kwitt, Nuno Vasconcelos
2018 — conf
Patient-Specific Registration of Pre-operative and Post-recurrence Brain Tumor MRI Scans.
BrainLes@MICCAI (1)
Xu Han, Spyridon Bakas, Roland Kwitt, Stephen R. Aylward, Hamed Akbari, Michel Bilello, Christos Davatzikos, Marc Niethammer
2018 — conf
Scoliosis screening and monitoring using self contained ultrasound and neural networks.
ISBI
Thomas Hastings Greer, Samuel Gerber, Marc Niethammer, Roland Kwitt, Matt McCormick, Deepak Roy Chittajallu, Neal Siekierski, Matthew Oetgen, Kevin Cleary, Stephen R. Aylward
2018 J jnl
Stochastic Block Models with Multiple Continuous Attributes.
CoRR
Natalie Stanley, Thomas Bonacci, Roland Kwitt, Marc Niethammer, Peter J. Mucha
2018 J jnl
Training of polyp staging systems using mixed imaging modalities.
Comput. Biol. Medicine
Georg Wimmer, Michael Gadermayr, Roland Kwitt, Michael Häfner, Toru Tamaki, Shigeto Yoshida, Shinji Tanaka, Dorit Merhof, Andreas Uhl
2017 A* conf
AGA: Attribute-Guided Augmentation.
CVPR
Mandar Dixit, Roland Kwitt, Marc Niethammer, Nuno Vasconcelos
2017 J jnl
Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach.
CoRR
Xu Han, Roland Kwitt, Stephen R. Aylward, Bjoern H. Menze, Alexander Asturias, Paul M. Vespa, John D. Van Horn, Marc Niethammer
2017 J jnl
Compressing networks with super nodes.
CoRR
Natalie Stanley, Roland Kwitt, Marc Niethammer, Peter J. Mucha
2017 — conf
Constructing Shape Spaces from a Topological Perspective.
IPMI
Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Yvonne Höller, Eugen Trinka, Andreas Uhl
2017 — conf
Deep Learning with Topological Signatures.
NIPS
Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Andreas Uhl
2017 J jnl
Deep Learning with Topological Signatures.
CoRR
Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Andreas Uhl
2017 — conf
Domain Adaptation for CNN Based Iris Segmentation.
BIOSIG
Ehsaneddin Jalilian, Andreas Uhl, Roland Kwitt
2017 J jnl
Efficient Registration of Pathological Images: A Joint PCA/Image-Reconstruction Approach.
CoRR
Xu Han, Xiao Yang, Stephen R. Aylward, Roland Kwitt, Marc Niethammer
2017 — conf
Efficient registration of pathological images: A joint PCA/image-reconstruction approach.
ISBI
Xu Han, Xiao Yang, Stephen R. Aylward, Roland Kwitt, Marc Niethammer
2017 J jnl
Fast Predictive Multimodal Image Registration.
CoRR
Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer
2017 — conf
Fast Predictive Simple Geodesic Regression.
DLMIA/ML-CDS@MICCAI
Zhipeng Ding, Greg M. Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer
2017 J jnl
Fast Predictive Simple Geodesic Regression.
CoRR
Zhipeng Ding, Greg M. Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer
2017 — conf
Fast predictive multimodal image registration.
ISBI
Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer
2017 J jnl
Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach.
CoRR
Xiao Yang, Roland Kwitt, Marc Niethammer
2017 J jnl
Quicksilver: Fast predictive image registration - A deep learning approach.
NeuroImage
Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer
2017 A conf
Regression Uncertainty on the Grassmannian.
AISTATS
Yi Hong, Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer
2017 — conf
Simple domain adaptation for cross-dataset analyses of brain MRI data.
ISBI
Christoph D. Hofer, Roland Kwitt, Yvonne Höller, Eugen Trinka, Andreas Uhl
2016 J jnl
AGA: Attribute Guided Augmentation.
CoRR
Mandar Dixit, Roland Kwitt, Marc Niethammer, Nuno Vasconcelos
2016 — conf
Evaluation of i-Scan Virtual Chromoendoscopy and Traditional Chromoendoscopy for the Automated Diagnosis of Colonic Polyps.
CARE@MICCAI
Georg Wimmer, Michael Gadermayr, Roland Kwitt, Michael Häfner, Dorit Merhof, Andreas Uhl
2016 — conf
Fast Predictive Image Registration.
LABELS/DLMIA@MICCAI
Xiao Yang, Roland Kwitt, Marc Niethammer
2016 J jnl
Fast Predictive Image Registration.
CoRR
Xiao Yang, Roland Kwitt, Marc Niethammer
2016 — conf
Narrow band imaging versus white-light: What is best for computer-assisted diagnosis of celiac disease?
ISBI
Michael Gadermayr, Sebastian Hegenbart, Roland Kwitt, Andreas Uhl, Andreas Vécsei
2016 A* conf
One-Shot Learning of Scene Locations via Feature Trajectory Transfer.
CVPR
Roland Kwitt, Sebastian Hegenbart, Marc Niethammer
2016 J jnl
Parametric Regression on the Grassmannian.
IEEE Trans. Pattern Anal. Mach. Intell.
Yi Hong, Roland Kwitt, Nikhil Singh, Nuno Vasconcelos, Marc Niethammer
2016 — conf
Registration of Pathological Images.
SASHIMI@MICCAI
Xiao Yang, Xu Han, Eunbyung Park, Stephen R. Aylward, Roland Kwitt, Marc Niethammer
2016 — conf
Ultrasound spectroscopy.
ISBI
Stephen R. Aylward, Matthew McCormick, Hyun Jae Kang, Sharif Razzaque, Roland Kwitt, Marc Niethammer
2015 A* conf
A stable multi-scale kernel for topological machine learning.
CVPR
Jan Reininghaus, Stefan Huber, Ulrich Bauer, Roland Kwitt
2015 — conf
Group Testing for Longitudinal Data.
IPMI
Yi Hong, Nikhil Singh, Roland Kwitt, Marc Niethammer
2015 — conf
Model Criticism for Regression on the Grassmannian.
MICCAI (3)
Yi Hong, Roland Kwitt, Marc Niethammer
2015 J jnl
Parametric Regression on the Grassmannian.
CoRR
Yi Hong, Nikhil Singh, Roland Kwitt, Nuno Vasconcelos, Marc Niethammer
2015 J jnl
Proceedings of The 39th Annual Workshop of the Austrian Association for Pattern Recognition (OAGM), 2015.
CoRR
Sebastian Hegenbart, Roland Kwitt, Andreas Uhl
2015 — conf
Statistical Topological Data Analysis - A Kernel Perspective.
NIPS
Roland Kwitt, Stefan Huber, Marc Niethammer, Weili Lin, Ulrich Bauer
2014 J jnl
A Stable Multi-Scale Kernel for Topological Machine Learning.
CoRR
Jan Reininghaus, Stefan Huber, Ulrich Bauer, Roland Kwitt
2014 C ed.
ACM Information Hiding and Multimedia Security Workshop, IH&MMSec '14, Salzburg, Austria, June 11-13, 2014
IH&MMSec
Andreas Unterweger, Andreas Uhl, Stefan Katzenbeisser, Roland Kwitt, Alessandro Piva
2014 — conf
Do We Need Annotation Experts? A Case Study in Celiac Disease Classification.
MICCAI (2)
Roland Kwitt, Sebastian Hegenbart, Nikhil Rasiwasia, Andreas Vécsei, Andreas Uhl
2014 — conf
Geodesic Regression on the Grassmannian.
ECCV (2)
Yi Hong, Roland Kwitt, Nikhil Singh, Brad Davis, Nuno Vasconcelos, Marc Niethammer
2014 — conf
Low-Rank to the Rescue - Atlas-Based Analyses in the Presence of Pathologies.
MICCAI (3)
Xiaoxiao Liu, Marc Niethammer, Roland Kwitt, Matthew McCormick, Stephen R. Aylward
2014 J jnl
Statistical atlas construction via weighted functional boxplots.
Medical Image Anal.
Yi Hong, Brad Davis, J. S. Marron, Roland Kwitt, Nikhil Singh, Julia S. Kimbell, Elizabeth Pitkin, Richard Superfine, Stephanie Davis, Carlton J. Zdanski, Marc Niethammer
2014 — conf
Time-Warped Geodesic Regression.
MICCAI (2)
Yi Hong, Nikhil Singh, Roland Kwitt, Marc Niethammer
2014 J jnl
Topology-Preserving Watermarking of Vector Graphics.
Int. J. Comput. Geom. Appl.
Stefan Huber, Martin Held, Peter Meerwald, Roland Kwitt
2014 B conf
Variability sensitivity of dynamic texture based recognition in clinical CT data.
Image Processing
Roland Kwitt, Sharif Razzaque, Jeffrey Lowell, Stephen R. Aylward
2013 J jnl
Localizing target structures in ultrasound video - A phantom study.
Medical Image Anal.
Roland Kwitt, Nuno Vasconcelos, Sharif Razzaque, Stephen R. Aylward
2013 — conf
Studying Cerebral Vasculature Using Structure Proximity and Graph Kernels.
MICCAI (2)
Roland Kwitt, Danielle F. Pace, Marc Niethammer, Stephen R. Aylward
2013 — conf
Weighted Functional Boxplot with Application to Statistical Atlas Construction.
MICCAI (3)
Yi Hong, Brad Davis, J. S. Marron, Roland Kwitt, Marc Niethammer
2012 J jnl
Endoscopic image analysis in semantic space.
Medical Image Anal.
Roland Kwitt, Nuno Vasconcelos, Nikhil Rasiwasia, Andreas Uhl, Bradley C. Davis, Michael Häfner, Friedrich Wrba
2012 — conf
PCL and ParaView - Connecting the dots.
CVPR Workshops
Pat Marion, Roland Kwitt, Brad Davis, Michael Gschwandtner
2012 — conf
Recognition in Ultrasound Videos: Where Am I?
MICCAI (3)
Roland Kwitt, Nuno Vasconcelos, Sharif Razzaque, Stephen R. Aylward
2012 — conf
Scene Recognition on the Semantic Manifold.
ECCV (4)
Roland Kwitt, Nuno Vasconcelos, Nikhil Rasiwasia
2011 — conf
BlenSor: Blender Sensor Simulation Toolbox.
ISVC (2)
Michael Gschwandtner, Roland Kwitt, Andreas Uhl, Wolfgang Pree
2011 J jnl
Efficient Texture Image Retrieval Using Copulas in a Bayesian Framework.
IEEE Trans. Image Process.
Roland Kwitt, Peter Meerwald, Andreas Uhl
2011 B conf
Infrared camera calibration for dense depth map construction.
Intelligent Vehicles Symposium
Michael Gschwandtner, Roland Kwitt, Andreas Uhl, Wolfgang Pree
2011 — conf
Learning Pit Pattern Concepts for Gastroenterological Training.
MICCAI (3)
Roland Kwitt, Nikhil Rasiwasia, Nuno Vasconcelos, Andreas Uhl, Michael Häfner, Friedrich Wrba
2011 J jnl
Lightweight Detection of Additive Watermarking in the DWT-Domain.
IEEE Trans. Image Process.
Roland Kwitt, Peter Meerwald, Andreas Uhl
2011 B conf
Testing a multivariate model for wavelet coefficients.
ICIP
Roland Kwitt, Peter Meerwald, Andreas Uhl, Geert Verdoolaege
2010 J jnl
Blind Detection of Additive Spread-Spectrum Watermarking in the Dual-Tree Complex Wavelet Transform Domain.
Int. J. Digit. Crime Forensics
Roland Kwitt, Peter Meerwald, Andreas Uhl
2010 J jnl
Lightweight Probabilistic Texture Retrieval.
IEEE Trans. Image Process.
Roland Kwitt, Andreas Uhl
2010 — conf
Predicting the histology of colorectal lesions in a probabilistic framework.
CVPR Workshops
Roland Kwitt, Andreas Uhl, Michael Häfner, Alfred Gangl, Friedrich Wrba, Andreas Vécsei
2010 A conf
Watermarking of 2D vector graphics with distortion constraint.
ICME
Stefan Huber, Roland Kwitt, Peter Meerwald, Martin Held, Andreas Uhl
2009 B conf
A joint model of complex wavelet coefficients for texture retrieval.
ICIP
Roland Kwitt, Andreas Uhl
2009 — conf
Blind DT-CWT domain additive spread-spectrum watermark detection.
DPS
Roland Kwitt, Peter Meerwald, Andreas Uhl
2009 B conf
Color-image watermarking using multivariate power-exponential distribution.
ICIP
Roland Kwitt, Peter Meerwald, Andreas Uhl
2009 J jnl
Computer-assisted pit-pattern classification in different wavelet domains for supporting dignity assessment of colonic polyps.
Pattern Recognit.
Michael Häfner, Roland Kwitt, Andreas Uhl, Friedrich Wrba, Alfred Gangl, Andreas Vécsei
2009 — conf
Efficient detection of additive watermarking in the DWT-domain.
EUSIPCO
Roland Kwitt, Peter Meerwald, Andreas Uhl
2009 J jnl
Feature extraction from multi-directional multi-resolution image transformations for the classification of zoom-endoscopy images.
Pattern Anal. Appl.
Michael Häfner, Roland Kwitt, Andreas Uhl, Alfred Gangl, Friedrich Wrba, Andreas Vécsei
2009 — conf
Improving Pit-Pattern Classification of Endoscopy Images by a Combination of Experts.
MICCAI (1)
Michael Häfner, Alfred Gangl, Roland Kwitt, Andreas Uhl, Andreas Vécsei, Friedrich Wrba
2008 — conf
A lightweight rao-cauchy detector for additive watermarking in the dwt-domain.
MM&Sec
Roland Kwitt, Peter Meerwald, Andreas Uhl
2008 Misc conf
Color eigen-subband features for endoscopy image classification.
ICASSP
Roland Kwitt, Andreas Uhl
2008 B conf
Image similarity measurement by Kullback-Leibler divergences between complex wavelet subband statistics for texture retrieval.
ICIP
Roland Kwitt, Andreas Uhl
2008 — ch.
Multi-directional Multi-resolution Transforms for Zoom-Endoscopy Image Classification.
Computer Recognition Systems 2
Roland Kwitt, Andreas Uhl
2007 A* conf
Modeling the Marginal Distributions of Complex Wavelet Coefficient Magnitudes for the Classification of Zoom-Endoscopy Images.
ICCV
Roland Kwitt, Andreas Uhl
2006 — conf
A New Agent-Based Approach towards Distributed IP Measurements.
ICN/ICONS/MCL
Roland Kwitt, Thomas Fichtel, Thomas Pfeiffenberger, Ulrich Hofmann