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2020 – today
- 2025
[c63]Sabrina Pochaba, Peter Dorfinger, Matthias Herlich, Roland Kwitt, Simon Hirlaender:
Ph.D. Forum: Multi-Agent Reinforcement Learning in Wireless Network Communication. WoWMoM 2025: 317-318- 2024
- [c62]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:
Position: Topological Deep Learning is the New Frontier for Relational Learning. ICML 2024 - [c61]Lin Tian, Thomas 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. MICCAI (2) 2024: 749-760 - [i34]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:
Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR abs/2402.08871 (2024) - [i33]Lin Tian, Thomas 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 abs/2403.05780 (2024) - [i32]Sebastian Zeng, Florian Graf, Martin Uray, Stefan Huber, Roland Kwitt:
Neural Persistence Dynamics. CoRR abs/2405.15732 (2024) - [i31]Thomas Hastings Greer, Lin Tian, François-Xavier Vialard, Roland Kwitt, Raúl San José Estépar, Marc Niethammer:
CARL: A Framework for Equivariant Image Registration. CoRR abs/2405.16738 (2024) - [i30]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:
multiGradICON: A Foundation Model for Multimodal Medical Image Registration. CoRR abs/2408.00221 (2024) - 2023
- [c60]Lin Tian, Thomas 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: 18084-18094 - [c59]Thomas 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: 688-698 - [c58]Sebastian Zeng, Florian Graf, Roland Kwitt:
Latent SDEs on Homogeneous Spaces. NeurIPS 2023 - [i29]Thomas Hastings Greer, Lin Tian, François-Xavier Vialard, Roland Kwitt, Sylvain Bouix, Raúl San José Estépar, Richard Jarrett Rushmore, Marc Niethammer:
Inverse Consistency by Construction for Multistep Deep Registration. CoRR abs/2305.00087 (2023) - [i28]Sebastian Zeng
, Florian Graf, Roland Kwitt:
Latent SDEs on Homogeneous Spaces. CoRR abs/2306.16248 (2023) - 2022
- [c57]Florian Graf, Sebastian Zeng, Bastian Rieck, Marc Niethammer, Roland Kwitt:
On Measuring Excess Capacity in Neural Networks. NeurIPS 2022 - [i27]Florian Graf, Sebastian Zeng, Marc Niethammer, Roland Kwitt:
On Measuring Excess Capacity in Neural Networks. CoRR abs/2202.08070 (2022) - [i26]Lin Tian, Thomas Hastings Greer, François-Xavier Vialard, Roland Kwitt, Raúl San José Estépar, Marc Niethammer:
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency. CoRR abs/2206.05897 (2022) - 2021
- [c56]Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Marc Niethammer:
ICON: Learning Regular Maps Through Inverse Consistency. ICCV 2021: 3376-3385 - [c55]Florian Graf, Christoph D. Hofer, Marc Niethammer, Roland Kwitt:
Dissecting Supervised Constrastive Learning. ICML 2021: 3821-3830 - [c54]Sebastian Zeng, Florian Graf, Christoph D. Hofer, Roland Kwitt:
Topological Attention for Time Series Forecasting. NeurIPS 2021: 24871-24882 - [i25]Florian Graf, Christoph D. Hofer, Marc Niethammer, Roland Kwitt:
Dissecting Supervised Constrastive Learning. CoRR abs/2102.08817 (2021) - [i24]Bo Liu, Mandar Dixit, Roland Kwitt, Gang Hua, Nuno Vasconcelos:
Sparse Pose Trajectory Completion. CoRR abs/2105.00125 (2021) - [i23]Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Marc Niethammer:
ICON: Learning Regular Maps Through Inverse Consistency. CoRR abs/2105.04459 (2021) - [i22]Sebastian Zeng, Florian Graf, Christoph D. Hofer, Roland Kwitt:
Topological Attention for Time Series Forecasting. CoRR abs/2107.09031 (2021) - [i21]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 abs/2108.00107 (2021) - 2020
- [j19]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: 103592 (2020) - [c53]Christoph D. Hofer, Florian Graf, Marc Niethammer, Roland Kwitt:
Topologically Densified Distributions. ICML 2020: 4304-4313 - [c52]Christoph D. Hofer, Florian Graf, Bastian Rieck, Marc Niethammer, Roland Kwitt:
Graph Filtration Learning. ICML 2020: 4314-4323 - [c51]François-Xavier Vialard, Roland Kwitt, Susan Wei, Marc Niethammer:
A shooting formulation of deep learning. NeurIPS 2020 - [i20]Christoph D. Hofer, Florian Graf, Marc Niethammer, Roland Kwitt:
Topologically Densified Distributions. CoRR abs/2002.04805 (2020) - [i19]François-Xavier Vialard, Roland Kwitt, Susan Wei, Marc Niethammer:
A Shooting Formulation of Deep Learning. CoRR abs/2006.10330 (2020)
2010 – 2019
- 2019
- [j18]Natalie Stanley, Thomas Bonacci, Roland Kwitt, Marc Niethammer, Peter J. Mucha:
Stochastic block models with multiple continuous attributes. Appl. Netw. Sci. 4(1): 54:1-54:22 (2019) - [j17]Christoph D. Hofer, Roland Kwitt, Marc Niethammer:
Learning Representations of Persistence Barcodes. J. Mach. Learn. Res. 20: 126:1-126:45 (2019) - [j16]Zhipeng Ding, Greg M. Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer:
Fast predictive simple geodesic regression. Medical Image Anal. 56: 193-209 (2019) - [j15]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): 72-79 (2019) - [c50]Marc Niethammer, Roland Kwitt, François-Xavier Vialard:
Metric Learning for Image Registration. CVPR 2019: 8463-8472 - [c49]Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Mandar Dixit:
Connectivity-Optimized Representation Learning via Persistent Homology. ICML 2019: 2751-2760 - [i18]Marc Niethammer, Roland Kwitt, François-Xavier Vialard:
Metric Learning for Image Registration. CoRR abs/1904.09524 (2019) - [i17]Christoph D. Hofer, Roland Kwitt, Marc Niethammer:
Graph Filtration Learning. CoRR abs/1905.10996 (2019) - [i16]Christoph D. Hofer, Roland Kwitt, Mandar Dixit, Marc Niethammer:
Connectivity-Optimized Representation Learning via Persistent Homology. CoRR abs/1906.09003 (2019) - [i15]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 abs/1907.07739 (2019) - 2018
- [j14]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: 251-259 (2018) - [j13]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: 431-445 (2018) - [c48]Bo Liu, Xudong Wang, Mandar Dixit, Roland Kwitt, Nuno Vasconcelos:
Feature Space Transfer for Data Augmentation. CVPR 2018: 9090-9098 - [c47]Thomas 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: 1500-1503 - [c46]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: 105-114 - [i14]Bo Liu, Mandar Dixit, Roland Kwitt, Nuno Vasconcelos:
Feature Space Transfer for Data Augmentation. CoRR abs/1801.04356 (2018) - [i13]Natalie Stanley, Thomas Bonacci, Roland Kwitt, Marc Niethammer, Peter J. Mucha:
Stochastic Block Models with Multiple Continuous Attributes. CoRR abs/1803.02726 (2018) - 2017
- [j12]Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer:
Quicksilver: Fast predictive image registration - A deep learning approach. NeuroImage 158: 378-396 (2017) - [c45]Yi Hong, Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer:
Regression Uncertainty on the Grassmannian. AISTATS 2017: 785-793 - [c44]Ehsaneddin Jalilian, Andreas Uhl, Roland Kwitt:
Domain Adaptation for CNN Based Iris Segmentation. BIOSIG 2017: 51-60 - [c43]Mandar Dixit, Roland Kwitt, Marc Niethammer, Nuno Vasconcelos:
AGA: Attribute-Guided Augmentation. CVPR 2017: 3328-3336 - [c42]Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Yvonne Höller, Eugen Trinka, Andreas Uhl:
Constructing Shape Spaces from a Topological Perspective. IPMI 2017: 106-118 - [c41]Xu Han, Xiao Yang, Stephen R. Aylward, Roland Kwitt, Marc Niethammer:
Efficient registration of pathological images: A joint PCA/image-reconstruction approach. ISBI 2017: 10-14 - [c40]Christoph D. Hofer, Roland Kwitt, Yvonne Höller, Eugen Trinka, Andreas Uhl:
Simple domain adaptation for cross-dataset analyses of brain MRI data. ISBI 2017: 441-445 - [c39]Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer:
Fast predictive multimodal image registration. ISBI 2017: 858-862 - [c38]Zhipeng Ding, Greg M. Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer:
Fast Predictive Simple Geodesic Regression. DLMIA/ML-CDS@MICCAI 2017: 267-275 - [c37]Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Andreas Uhl:
Deep Learning with Topological Signatures. NIPS 2017: 1634-1644 - [i12]Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer:
Fast Predictive Multimodal Image Registration. CoRR abs/1703.10902 (2017) - [i11]Xiao Yang, Roland Kwitt, Marc Niethammer:
Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach. CoRR abs/1703.10908 (2017) - [i10]Xu Han, Xiao Yang, Stephen R. Aylward, Roland Kwitt, Marc Niethammer:
Efficient Registration of Pathological Images: A Joint PCA/Image-Reconstruction Approach. CoRR abs/1704.00036 (2017) - [i9]Natalie Stanley, Roland Kwitt, Marc Niethammer, Peter J. Mucha:
Compressing networks with super nodes. CoRR abs/1706.04110 (2017) - [i8]Christoph D. Hofer, Roland Kwitt, Marc Niethammer, Andreas Uhl:
Deep Learning with Topological Signatures. CoRR abs/1707.04041 (2017) - [i7]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 abs/1711.05702 (2017) - [i6]Zhipeng Ding, Greg M. Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer:
Fast Predictive Simple Geodesic Regression. CoRR abs/1711.05766 (2017) - 2016
- [j11]Yi Hong, Roland Kwitt, Nikhil Singh, Nuno Vasconcelos, Marc Niethammer:
Parametric Regression on the Grassmannian. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2284-2297 (2016) - [c36]Roland Kwitt, Sebastian Hegenbart, Marc Niethammer:
One-Shot Learning of Scene Locations via Feature Trajectory Transfer. CVPR 2016: 78-86 - [c35]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: 355-359 - [c34]Stephen R. Aylward, Matthew McCormick, Hyun Jae Kang, Sharif Razzaque, Roland Kwitt, Marc Niethammer:
Ultrasound spectroscopy. ISBI 2016: 1013-1016 - [c33]Xiao Yang, Roland Kwitt, Marc Niethammer:
Fast Predictive Image Registration. LABELS/DLMIA@MICCAI 2016: 48-57 - [c32]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: 59-71 - [c31]Xiao Yang, Xu Han, Eunbyung Park, Stephen R. Aylward, Roland Kwitt, Marc Niethammer:
Registration of Pathological Images. SASHIMI@MICCAI 2016: 97-107 - [i5]Xiao Yang, Roland Kwitt, Marc Niethammer:
Fast Predictive Image Registration. CoRR abs/1607.02504 (2016) - [i4]Mandar Dixit, Roland Kwitt, Marc Niethammer, Nuno Vasconcelos:
AGA: Attribute Guided Augmentation. CoRR abs/1612.02559 (2016) - 2015
- [c30]Jan Reininghaus, Stefan Huber, Ulrich Bauer, Roland Kwitt:
A stable multi-scale kernel for topological machine learning. CVPR 2015: 4741-4748 - [c29]Yi Hong, Nikhil Singh, Roland Kwitt, Marc Niethammer:
Group Testing for Longitudinal Data. IPMI 2015: 139-151 - [c28]Yi Hong, Roland Kwitt, Marc Niethammer:
Model Criticism for Regression on the Grassmannian. MICCAI (3) 2015: 727-734 - [c27]Roland Kwitt, Stefan Huber, Marc Niethammer, Weili Lin, Ulrich Bauer:
Statistical Topological Data Analysis - A Kernel Perspective. NIPS 2015: 3070-3078 - [i3]Sebastian Hegenbart, Roland Kwitt, Andreas Uhl:
Proceedings of The 39th Annual Workshop of the Austrian Association for Pattern Recognition (OAGM), 2015. CoRR abs/1505.01065 (2015) - [i2]Yi Hong, Nikhil Singh, Roland Kwitt, Nuno Vasconcelos, Marc Niethammer:
Parametric Regression on the Grassmannian. CoRR abs/1505.03832 (2015) - 2014
- [j10]Stefan Huber, Martin Held, Peter Meerwald, Roland Kwitt:
Topology-Preserving Watermarking of Vector Graphics. Int. J. Comput. Geom. Appl. 24(1): 61- (2014) - [j9]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): 684-698 (2014) - [c26]Yi Hong, Roland Kwitt, Nikhil Singh, Brad Davis, Nuno Vasconcelos, Marc Niethammer:
Geodesic Regression on the Grassmannian. ECCV (2) 2014: 632-646 - [c25]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: 97-104 - [c24]Yi Hong, Nikhil Singh, Roland Kwitt, Marc Niethammer:
Time-Warped Geodesic Regression. MICCAI (2) 2014: 105-112 - [c23]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: 454-461 - [c22]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: 903420 - [e1]Andreas Unterweger, Andreas Uhl, Stefan Katzenbeisser, Roland Kwitt, Alessandro Piva:
ACM Information Hiding and Multimedia Security Workshop, IH&MMSec '14, Salzburg, Austria, June 11-13, 2014. ACM 2014, ISBN 978-1-4503-2647-6 [contents] - [i1]Jan Reininghaus, Stefan Huber, Ulrich Bauer, Roland Kwitt:
A Stable Multi-Scale Kernel for Topological Machine Learning. CoRR abs/1412.6821 (2014) - 2013
- [j8]Roland Kwitt, Nuno Vasconcelos, Sharif Razzaque, Stephen R. Aylward:
Localizing target structures in ultrasound video - A phantom study. Medical Image Anal. 17(7): 712-722 (2013) - [c21]Roland Kwitt, Danielle F. Pace, Marc Niethammer, Stephen R. Aylward:
Studying Cerebral Vasculature Using Structure Proximity and Graph Kernels. MICCAI (2) 2013: 534-541 - [c20]Yi Hong, Brad Davis, J. S. Marron, Roland Kwitt, Marc Niethammer:
Weighted Functional Boxplot with Application to Statistical Atlas Construction. MICCAI (3) 2013: 584-591 - 2012
- [j7]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): 1415-1422 (2012) - [c19]Pat Marion, Roland Kwitt, Brad Davis, Michael Gschwandtner:
PCL and ParaView - Connecting the dots. CVPR Workshops 2012: 80-85 - [c18]Roland Kwitt, Nuno Vasconcelos, Nikhil Rasiwasia:
Scene Recognition on the Semantic Manifold. ECCV (4) 2012: 359-372 - [c17]Roland Kwitt, Nuno Vasconcelos, Sharif Razzaque, Stephen R. Aylward:
Recognition in Ultrasound Videos: Where Am I? MICCAI (3) 2012: 83-90 - 2011
- [j6]Roland Kwitt, Peter Meerwald, Andreas Uhl:
Lightweight Detection of Additive Watermarking in the DWT-Domain. IEEE Trans. Image Process. 20(2): 474-484 (2011) - [j5]Roland Kwitt, Peter Meerwald, Andreas Uhl:
Efficient Texture Image Retrieval Using Copulas in a Bayesian Framework. IEEE Trans. Image Process. 20(7): 2063-2077 (2011) - [c16]Roland Kwitt, Peter Meerwald, Andreas Uhl, Geert Verdoolaege:
Testing a multivariate model for wavelet coefficients. ICIP 2011: 1277-1280 - [c15]Michael Gschwandtner, Roland Kwitt, Andreas Uhl, Wolfgang Pree:
BlenSor: Blender Sensor Simulation Toolbox. ISVC (2) 2011: 199-208 - [c14]Michael Gschwandtner, Roland Kwitt, Andreas Uhl, Wolfgang Pree:
Infrared camera calibration for dense depth map construction. Intelligent Vehicles Symposium 2011: 857-862 - [c13]Roland Kwitt, Nikhil Rasiwasia, Nuno Vasconcelos, Andreas Uhl, Michael Häfner, Friedrich Wrba:
Learning Pit Pattern Concepts for Gastroenterological Training. MICCAI (3) 2011: 280-287 - 2010
- [j4]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): 34-46 (2010) - [j3]Roland Kwitt, Andreas Uhl:
Lightweight Probabilistic Texture Retrieval. IEEE Trans. Image Process. 19(1): 241-253 (2010) - [c12]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: 103-110 - [c11]Stefan Huber, Roland Kwitt, Peter Meerwald, Martin Held, Andreas Uhl:
Watermarking of 2D vector graphics with distortion constraint. ICME 2010: 480-485
2000 – 2009
- 2009
- [j2]Michael Häfner, Roland Kwitt, Andreas Uhl, Alfred Gangl, Friedrich Wrba, Andreas Vécsei:
Feature extraction from multi-directional multi-resolution image transformations for the classification of zoom-endoscopy images. Pattern Anal. Appl. 12(4): 407-413 (2009) - [j1]Michael Häfner, Roland Kwitt, Andreas Uhl, Friedrich Wrba, Alfred Gangl, Andreas Vécsei:
Computer-assisted pit-pattern classification in different wavelet domains for supporting dignity assessment of colonic polyps. Pattern Recognit. 42(6): 1180-1191 (2009) - [c10]Roland Kwitt, Peter Meerwald, Andreas Uhl:
Efficient detection of additive watermarking in the DWT-domain. EUSIPCO 2009: 2072-2076 - [c9]Roland Kwitt, Peter Meerwald, Andreas Uhl:
Blind DT-CWT domain additive spread-spectrum watermark detection. DPS 2009: 1-8 - [c8]Roland Kwitt, Andreas Uhl:
A joint model of complex wavelet coefficients for texture retrieval. ICIP 2009: 1877-1880 - [c7]Roland Kwitt, Peter Meerwald, Andreas Uhl:
Color-image watermarking using multivariate power-exponential distribution. ICIP 2009: 4245-4248 - [c6]Michael Häfner, Alfred Gangl, Roland Kwitt, Andreas Uhl, Andreas Vécsei, Friedrich Wrba:
Improving Pit-Pattern Classification of Endoscopy Images by a Combination of Experts. MICCAI (1) 2009: 247-254 - 2008
- [c5]Roland Kwitt, Andreas Uhl:
Color eigen-subband features for endoscopy image classification. ICASSP 2008: 589-592 - [c4]Roland Kwitt, Andreas Uhl:
Image similarity measurement by Kullback-Leibler divergences between complex wavelet subband statistics for texture retrieval. ICIP 2008: 933-936 - [c3]Roland Kwitt, Peter Meerwald, Andreas Uhl:
A lightweight rao-cauchy detector for additive watermarking in the dwt-domain. MM&Sec 2008: 33-42 - [p1]Roland Kwitt, Andreas Uhl:
Multi-directional Multi-resolution Transforms for Zoom-Endoscopy Image Classification. Computer Recognition Systems 2 2008: 35-43 - 2007
- [c2]Roland Kwitt, Andreas Uhl:
Modeling the Marginal Distributions of Complex Wavelet Coefficient Magnitudes for the Classification of Zoom-Endoscopy Images. ICCV 2007: 1-8 - 2006
- [c1]Roland Kwitt, Thomas Fichtel, Thomas Pfeiffenberger, Ulrich Hofmann:
A New Agent-Based Approach towards Distributed IP Measurements. ICN/ICONS/MCL 2006: 52
Coauthor Index
[c61] [i33] [i31] [i30] [c60] [c59] [i29] [c57] [i27] [i26] [c56] [c55] [i25] [i23] [c53] [c52] [c51] [i20] [i19] [j18] [j17] [j16] [j15] [c50] [c49] [i18] [i17] [i16] [i15] [j13] [c47] [c46] [i13] [j12] [c45] [c43] [c42] [c41] [c39] [c38] [c37] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [j11] [c36] [c34] [c33] [c31] [i5] [i4] [c29] [c28] [c27] [i2] [j9] [c26] [c25] [c24] [c21] [c20]
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