Roland Kwitt

ORCID

Publication Activity (10 Years)

Years Active: 2006-2025
Publications (10 Years): 76

Top Venues

Publications

Sabrina Pochaba, Peter Dorfinger, Matthias Herlich, Roland Kwitt, Simon Hirlaender
Ph.D. Forum: Multi-Agent Reinforcement Learning in Wireless Network Communication. WoWMoM (2025)
Theodore Papamarkou, Tolga Birdal, Michael Bronstein, Gunnar 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
Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR (2024)
Lin Tian, Hastings Greer, Roland Kwitt, François-Xavier Vialard, Raúl San José Estépar, Sylvain Bouix, Richard J. Rushmore, Marc Niethammer
uniGradICON: A Foundation Model for Medical Image Registration. CoRR (2024)
Sebastian Zeng, Florian Graf, Martin Uray, Stefan Huber, Roland Kwitt
Neural Persistence Dynamics. CoRR (2024)
Hastings Greer, Lin Tian, François-Xavier Vialard, Roland Kwitt, Raúl San José Estépar, Marc Niethammer
CARL: A Framework for Equivariant Image Registration. CoRR (2024)
Hastings Greer, Lin Tian, François-Xavier Vialard, Roland Kwitt, Sylvain Bouix, Raúl San José Estépar, Richard Rushmore, Marc Niethammer
Inverse Consistency by Construction for Multistep Deep Registration. CoRR (2023)
Sebastian Zeng, Florian Graf, Roland Kwitt
Latent SDEs on Homogeneous Spaces. NeurIPS (2023)
Hastings Greer, Lin Tian, François-Xavier Vialard, Roland Kwitt, Sylvain Bouix, Raúl San José Estépar, Richard J. Rushmore, Marc Niethammer
Inverse Consistency by Construction for Multistep Deep Registration. MICCAI (10) (2023)
Sebastian Zeng, Florian Graf, Roland Kwitt
Latent SDEs on Homogeneous Spaces. CoRR (2023)
Lin Tian, Hastings Greer, François-Xavier Vialard, Roland Kwitt, Raúl San José Estépar, Richard Jarrett Rushmore, Nikolaos Makris, Sylvain Bouix, Marc Niethammer
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency. CVPR (2023)
Lin Tian, Hastings Greer, François-Xavier Vialard, Roland Kwitt, Raúl San José Estépar, Marc Niethammer
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency. CoRR (2022)
Florian Graf, Sebastian Zeng, Marc Niethammer, Roland Kwitt
On Measuring Excess Capacity in Neural Networks. CoRR (2022)
Florian Graf, Sebastian Zeng, Bastian Rieck, Marc Niethammer, Roland Kwitt
On Measuring Excess Capacity in Neural Networks. NeurIPS (2022)
Sebastian Zeng, Florian Graf, Christoph D. Hofer, Roland Kwitt
Topological Attention for Time Series Forecasting. CoRR (2021)
Bo Liu, Mandar Dixit, Roland Kwitt, Gang Hua, Nuno Vasconcelos
Sparse Pose Trajectory Completion. CoRR (2021)
Florian Graf, Christoph D. Hofer, Marc Niethammer, Roland Kwitt
Dissecting Supervised Constrastive Learning. ICML (2021)
Sebastian Zeng, Florian Graf, Christoph Hofer, Roland Kwitt
Topological Attention for Time Series Forecasting. NeurIPS (2021)
Leonard E. van Dyck, Roland Kwitt, Sebastian J. Denzler, Walter R. Gruber
Comparing object recognition in humans and deep convolutional neural networks - An eye tracking study. CoRR (2021)
Florian Graf, Christoph D. Hofer, Marc Niethammer, Roland Kwitt
Dissecting Supervised Constrastive Learning. CoRR (2021)
Hastings Greer, Roland Kwitt, François-Xavier Vialard, Marc Niethammer
ICON: Learning Regular Maps Through Inverse Consistency. ICCV (2021)
Hastings Greer, Roland Kwitt, François-Xavier Vialard, Marc Niethammer
ICON: Learning Regular Maps Through Inverse Consistency. CoRR (2021)
Christoph D. Hofer, Florian Graf, Marc Niethammer, Roland Kwitt
Topologically Densified Distributions. ICML (2020)
Christoph D. Hofer, Florian Graf, Marc Niethammer, Roland Kwitt
Topologically Densified Distributions. CoRR (2020)
François-Xavier Vialard, Roland Kwitt, Susan Wei, Marc Niethammer
A Shooting Formulation of Deep Learning. CoRR (2020)
Christoph D. Hofer, Roland Kwitt, Yvonne Höller, Eugen Trinka, Andreas Uhl
An empirical assessment of appearance descriptors applied to MRI for automated diagnosis of TLE and MCI. Comput. Biol. Medicine 117 (2020)
François-Xavier Vialard, Roland Kwitt, Susan Wei, Marc Niethammer
A shooting formulation of deep learning. NeurIPS (2020)
Christoph D. Hofer, Florian Graf, Bastian Rieck, Marc Niethammer, Roland Kwitt
Graph Filtration Learning. ICML (2020)
Natalie Stanley, Thomas Bonacci, Roland Kwitt, Marc Niethammer, Peter J. Mucha
Stochastic block models with multiple continuous attributes. Appl. Netw. Sci. 4 (1) (2019)
Heather D. Couture, Roland Kwitt, J. S. Marron, Melissa A. Troester, Charles M. Perou, Marc Niethammer
Deep Multi-View Learning via Task-Optimal CCA. CoRR (2019)
Christoph D. Hofer, Roland Kwitt, Marc Niethammer
Learning Representations of Persistence Barcodes. J. Mach. Learn. Res. 20 (2019)
Christoph D. Hofer, Roland Kwitt, Mandar Dixit, Marc Niethammer
Connectivity-Optimized Representation Learning via Persistent Homology. CoRR (2019)
Zhipeng Ding, Greg M. Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer
Fast predictive simple geodesic regression. Medical Image Anal. 56 (2019)
Marc Niethammer, Roland Kwitt, François-Xavier Vialard
Metric Learning for Image Registration. CVPR (2019)
Marc Niethammer, Roland Kwitt, François-Xavier Vialard
Metric Learning for Image Registration. CoRR (2019)
Deepak Roy Chittajallu, Matthew McCormick, Samuel Gerber, Tomasz J. Czernuszewicz, Ryan C. Gessner, Monte S. Willis, Marc Niethammer, Roland Kwitt, Stephen R. Aylward
Image-Based Methods for Phase Estimation, Gating, and Temporal Superresolution of Cardiac Ultrasound. IEEE Trans. Biomed. Eng. 66 (1) (2019)
Christoph D. Hofer, Roland Kwitt, Marc Niethammer
Graph Filtration Learning. CoRR (2019)
Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Mandar Dixit
Connectivity-Optimized Representation Learning via Persistent Homology. ICML (2019)
Hastings Greer, Samuel Gerber, Marc Niethammer, Roland Kwitt, Matt McCormick, Deepak Roy Chittajallu, Neal Siekierski, Matthew Oetgen, Kevin Cleary, Stephen R. Aylward
Scoliosis screening and monitoring using self contained ultrasound and neural networks. ISBI (2018)
Bo Liu, Xudong Wang, Mandar Dixit, Roland Kwitt, Nuno Vasconcelos
Feature Space Transfer for Data Augmentation. CVPR (2018)
Xu Han, Spyridon Bakas, Roland Kwitt, Stephen R. Aylward, Hamed Akbari, Michel Bilello, Christos Davatzikos, Marc Niethammer
Patient-Specific Registration of Pre-operative and Post-recurrence Brain Tumor MRI Scans. BrainLes@MICCAI (1) (2018)
Xu Han, Roland Kwitt, Stephen R. Aylward, Spyridon Bakas, Bjoern H. Menze, Alexander Asturias, Paul M. Vespa, John D. Van Horn, Marc Niethammer
Brain extraction from normal and pathological images: A joint PCA/Image-Reconstruction approach. NeuroImage 176 (2018)
Bo Liu, Mandar Dixit, Roland Kwitt, Nuno Vasconcelos
Feature Space Transfer for Data Augmentation. CoRR (2018)
Natalie Stanley, Thomas Bonacci, Roland Kwitt, Marc Niethammer, Peter J. Mucha
Stochastic Block Models with Multiple Continuous Attributes. CoRR (2018)
Georg Wimmer, Michael Gadermayr, Roland Kwitt, Michael Häfner, Toru Tamaki, Shigeto Yoshida, Shinji Tanaka, Dorit Merhof, Andreas Uhl
Training of polyp staging systems using mixed imaging modalities. Comput. Biol. Medicine 102 (2018)
Christoph D. Hofer, Roland Kwitt, Yvonne Höller, Eugen Trinka, Andreas Uhl
Simple domain adaptation for cross-dataset analyses of brain MRI data. ISBI (2017)
Xiao Yang, Roland Kwitt, Marc Niethammer
Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach. CoRR (2017)
Xu Han, Xiao Yang, Stephen R. Aylward, Roland Kwitt, Marc Niethammer
Efficient registration of pathological images: A joint PCA/image-reconstruction approach. ISBI (2017)
Xu Han, Xiao Yang, Stephen R. Aylward, Roland Kwitt, Marc Niethammer
Efficient Registration of Pathological Images: A Joint PCA/Image-Reconstruction Approach. CoRR (2017)
Natalie Stanley, Roland Kwitt, Marc Niethammer, Peter J. Mucha
Compressing networks with super nodes. CoRR (2017)
Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer
Fast predictive multimodal image registration. ISBI (2017)
Xu Han, Roland Kwitt, Stephen R. Aylward, Bjoern H. Menze, Alexander Asturias, Paul M. Vespa, John D. Van Horn, Marc Niethammer
Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach. CoRR (2017)
Zhipeng Ding, Greg M. Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer
Fast Predictive Simple Geodesic Regression. CoRR (2017)
Ehsaneddin Jalilian, Andreas Uhl, Roland Kwitt
Domain Adaptation for CNN Based Iris Segmentation. BIOSIG (2017)
Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer
Fast Predictive Multimodal Image Registration. CoRR (2017)
Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Andreas Uhl
Deep Learning with Topological Signatures. CoRR (2017)
Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Andreas Uhl
Deep Learning with Topological Signatures. NIPS (2017)
Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer
Quicksilver: Fast predictive image registration - A deep learning approach. NeuroImage 158 (2017)
Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Yvonne Höller, Eugen Trinka, Andreas Uhl
Constructing Shape Spaces from a Topological Perspective. IPMI (2017)
Mandar Dixit, Roland Kwitt, Marc Niethammer, Nuno Vasconcelos
AGA: Attribute-Guided Augmentation. CVPR (2017)
Zhipeng Ding, Greg M. Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer
Fast Predictive Simple Geodesic Regression. DLMIA/ML-CDS@MICCAI (2017)
Yi Hong, Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer
Regression Uncertainty on the Grassmannian. AISTATS (2017)
Georg Wimmer, Michael Gadermayr, Roland Kwitt, Michael Häfner, Dorit Merhof, Andreas Uhl
Evaluation of i-Scan Virtual Chromoendoscopy and Traditional Chromoendoscopy for the Automated Diagnosis of Colonic Polyps. CARE@MICCAI (2016)
Xiao Yang, Roland Kwitt, Marc Niethammer
Fast Predictive Image Registration. CoRR (2016)
Roland Kwitt, Sebastian Hegenbart, Marc Niethammer
One-Shot Learning of Scene Locations via Feature Trajectory Transfer. CVPR (2016)
Michael Gadermayr, Sebastian Hegenbart, Roland Kwitt, Andreas Uhl, Andreas Vécsei
Narrow band imaging versus white-light: What is best for computer-assisted diagnosis of celiac disease? ISBI (2016)
Stephen R. Aylward, Matthew McCormick, Hyun Jae Kang, Sharif Razzaque, Roland Kwitt, Marc Niethammer
Ultrasound spectroscopy. ISBI (2016)
Mandar Dixit, Roland Kwitt, Marc Niethammer, Nuno Vasconcelos
AGA: Attribute Guided Augmentation. CoRR (2016)
Yi Hong, Roland Kwitt, Nikhil Singh, Nuno Vasconcelos, Marc Niethammer
Parametric Regression on the Grassmannian. IEEE Trans. Pattern Anal. Mach. Intell. 38 (11) (2016)
Xiao Yang, Roland Kwitt, Marc Niethammer
Fast Predictive Image Registration. LABELS/DLMIA@MICCAI (2016)
Xiao Yang, Xu Han, Eunbyung Park, Stephen R. Aylward, Roland Kwitt, Marc Niethammer
Registration of Pathological Images. SASHIMI@MICCAI (2016)
Roland Kwitt, Stefan Huber, Marc Niethammer, Weili Lin, Ulrich Bauer
Statistical Topological Data Analysis - A Kernel Perspective. NIPS (2015)
Yi Hong, Nikhil Singh, Roland Kwitt, Nuno Vasconcelos, Marc Niethammer
Parametric Regression on the Grassmannian. CoRR (2015)
Yi Hong, Roland Kwitt, Marc Niethammer
Model Criticism for Regression on the Grassmannian. MICCAI (3) (2015)
Jan Reininghaus, Stefan Huber, Ulrich Bauer, Roland Kwitt
A stable multi-scale kernel for topological machine learning. CVPR (2015)
Yi Hong, Nikhil Singh, Roland Kwitt, Marc Niethammer
Group Testing for Longitudinal Data. IPMI (2015)
Sebastian Hegenbart, Roland Kwitt, Andreas Uhl
Proceedings of The 39th Annual Workshop of the Austrian Association for Pattern Recognition (OAGM), 2015. CoRR (2015)
Jan Reininghaus, Stefan Huber, Ulrich Bauer, Roland Kwitt
A Stable Multi-Scale Kernel for Topological Machine Learning. CoRR (2014)
Xiaoxiao Liu, Marc Niethammer, Roland Kwitt, Matthew McCormick, Stephen R. Aylward
Low-Rank to the Rescue - Atlas-Based Analyses in the Presence of Pathologies. MICCAI (3) (2014)
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
Statistical atlas construction via weighted functional boxplots. Medical Image Anal. 18 (4) (2014)
Yi Hong, Roland Kwitt, Nikhil Singh, Brad Davis, Nuno Vasconcelos, Marc Niethammer
Geodesic Regression on the Grassmannian. ECCV (2) (2014)
Roland Kwitt, Sebastian Hegenbart, Nikhil Rasiwasia, Andreas Vécsei, Andreas Uhl
Do We Need Annotation Experts? A Case Study in Celiac Disease Classification. MICCAI (2) (2014)
Roland Kwitt, Sharif Razzaque, Jeffrey Lowell, Stephen R. Aylward
Variability sensitivity of dynamic texture based recognition in clinical CT data. Medical Imaging: Image Processing (2014)
Yi Hong, Nikhil Singh, Roland Kwitt, Marc Niethammer
Time-Warped Geodesic Regression. MICCAI (2) (2014)
Stefan Huber, Martin Held, Peter Meerwald, Roland Kwitt
Topology-Preserving Watermarking of Vector Graphics. Int. J. Comput. Geom. Appl. 24 (1) (2014)
Roland Kwitt, Nuno Vasconcelos, Sharif Razzaque, Stephen R. Aylward
Localizing target structures in ultrasound video - A phantom study. Medical Image Anal. 17 (7) (2013)
Roland Kwitt, Danielle F. Pace, Marc Niethammer, Stephen R. Aylward
Studying Cerebral Vasculature Using Structure Proximity and Graph Kernels. MICCAI (2) (2013)
Yi Hong, Brad Davis, J. S. Marron, Roland Kwitt, Marc Niethammer
Weighted Functional Boxplot with Application to Statistical Atlas Construction. MICCAI (3) (2013)
Roland Kwitt, Nuno Vasconcelos, Nikhil Rasiwasia
Scene Recognition on the Semantic Manifold. ECCV (4) (2012)
Roland Kwitt, Nuno Vasconcelos, Nikhil Rasiwasia, Andreas Uhl, Bradley C. Davis, Michael Häfner, Friedrich Wrba
Endoscopic image analysis in semantic space. Medical Image Anal. 16 (7) (2012)
Pat Marion, Roland Kwitt, Brad Davis, Michael Gschwandtner
PCL and ParaView - Connecting the dots. CVPR Workshops (2012)
Roland Kwitt, Nuno Vasconcelos, Sharif Razzaque, Stephen R. Aylward
Recognition in Ultrasound Videos: Where Am I? MICCAI (3) (2012)
Roland Kwitt, Peter Meerwald, Andreas Uhl
Efficient Texture Image Retrieval Using Copulas in a Bayesian Framework. IEEE Trans. Image Process. 20 (7) (2011)
Roland Kwitt, Peter Meerwald, Andreas Uhl, Geert Verdoolaege
Testing a multivariate model for wavelet coefficients. ICIP (2011)
Roland Kwitt, Nikhil Rasiwasia, Nuno Vasconcelos, Andreas Uhl, Michael Häfner, Friedrich Wrba
Learning Pit Pattern Concepts for Gastroenterological Training. MICCAI (3) (2011)
Roland Kwitt, Peter Meerwald, Andreas Uhl
Lightweight Detection of Additive Watermarking in the DWT-Domain. IEEE Trans. Image Process. 20 (2) (2011)
Michael Gschwandtner, Roland Kwitt, Andreas Uhl, Wolfgang Pree
BlenSor: Blender Sensor Simulation Toolbox. ISVC (2) (2011)
Michael Gschwandtner, Roland Kwitt, Andreas Uhl, Wolfgang Pree
Infrared camera calibration for dense depth map construction. Intelligent Vehicles Symposium (2011)
Roland Kwitt, Peter Meerwald, Andreas Uhl
Blind Detection of Additive Spread-Spectrum Watermarking in the Dual-Tree Complex Wavelet Transform Domain. Int. J. Digit. Crime Forensics 2 (2) (2010)
Stefan Huber, Roland Kwitt, Peter Meerwald, Martin Held, Andreas Uhl
Watermarking of 2D vector graphics with distortion constraint. ICME (2010)
Roland Kwitt, Andreas Uhl, Michael Häfner, Alfred Gangl, Friedrich Wrba, Andreas Vécsei
Predicting the histology of colorectal lesions in a probabilistic framework. CVPR Workshops (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Roland Kwitt