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Erhardt Barth
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- affiliation: University of Lübeck, Institute for Neuro- and Bioinformatics, Germany
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2020 – today
- 2024
- [c94]Yaxin Hu, Erhardt Barth:
Video Understanding Using 2D-CNNs on Salient Spatio-Temporal Slices. ICANN (3) 2024: 256-270 - [c93]Yaxin Hu, Erhardt Barth:
Novel Design Ideas that Improve Video-Understanding Networks with Transformers. IJCNN 2024: 1-7 - [c92]Christoph Linse, Erhardt Barth, Thomas Martinetz:
Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks. IJCNN 2024: 1-8 - [c91]Marta Guarischi, Yaxin Hu, Ahmet Burak Kurt, Silvia Zanchi, Erhardt Barth, Monica Gori:
A Machine Learning Approach to Unveil Balance Behavior Through Aging with an Auditory Cue. MeMeA 2024: 1-6 - 2023
- [c90]Kathleen Anderson, Philipp Grüning, Erhardt Barth:
Connections Between Pairs of Filters Improve the Accuracy of Convolutional Neural Networks. IJCNN 2023: 1-7 - [c89]Christoph Linse, Erhardt Barth, Thomas Martinetz:
Convolutional Neural Networks Do Work with Pre-Defined Filters. IJCNN 2023: 1-8 - 2022
- [i9]Philipp Grüning, Erhardt Barth:
Bio-inspired Min-Nets Improve the Performance and Robustness of Deep Networks. CoRR abs/2201.02149 (2022) - [i8]Hajo Nils Krabbenhöft, Erhardt Barth:
TEVR: Improving Speech Recognition by Token Entropy Variance Reduction. CoRR abs/2206.12693 (2022) - 2021
- [j32]Hammam A. Alshazly, Christoph Linse, Erhardt Barth, Sahar Ahmed Idris, Thomas Martinetz:
Towards Explainable Ear Recognition Systems Using Deep Residual Networks. IEEE Access 9: 122254-122273 (2021) - [j31]Hammam A. Alshazly, Christoph Linse, Mohamed Abdalla, Erhardt Barth, Thomas Martinetz:
COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans. PeerJ Comput. Sci. 7: e655 (2021) - [j30]Hammam A. Alshazly, Christoph Linse, Erhardt Barth, Thomas Martinetz:
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning. Sensors 21(2): 455 (2021) - [c88]Philipp Grüning, Erhardt Barth:
FP-Nets for Blind Image Quality Assessment. HVEI 2021 - [c87]Philipp Grüning, Falk Nette, Noah Heldt, Ana Cristina Guerra de Souza, Erhardt Barth:
Direct Inference of Cell Positions using Lens-Free Microscopy and Deep Learning. MIDL 2021: 219-227 - [c86]Dominik Mairhöfer, Manuel Laufer, Paul Martin Simon, Malte Sieren, Arpad Bischof, Thomas Käster, Erhardt Barth, Jörg Barkhausen, Thomas Martinetz:
An AI-based Framework for Diagnostic Quality Assessment of Ankle Radiographs. MIDL 2021: 484-496 - 2020
- [j29]Hammam A. Alshazly, Christoph Linse, Erhardt Barth, Thomas Martinetz:
Deep Convolutional Neural Networks for Unconstrained Ear Recognition. IEEE Access 8: 170295-170310 (2020) - [j28]Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi:
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020) - [c85]Philipp Grüning, Thomas Martinetz, Erhardt Barth:
Log-Nets: Logarithmic Feature-Product Layers Yield More Compact Networks. ICANN (2) 2020: 79-91 - [i7]Philipp Grüning, Thomas Martinetz, Erhardt Barth:
Feature Products Yield Efficient Networks. CoRR abs/2008.07930 (2020) - [i6]Hammam A. Alshazly, Christoph Linse, Erhardt Barth, Thomas Martinetz:
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning. CoRR abs/2011.05317 (2020)
2010 – 2019
- 2019
- [j27]Hammam A. Alshazly, Christoph Linse, Erhardt Barth, Thomas Martinetz:
Ensembles of Deep Learning Models and Transfer Learning for Ear Recognition. Sensors 19(19): 4139 (2019) - [j26]Hammam A. Alshazly, Christoph Linse, Erhardt Barth, Thomas Martinetz:
Handcrafted versus CNN Features for Ear Recognition. Symmetry 11(12): 1493 (2019) - 2017
- [c84]Irina Burciu, Thomas Martinetz, Erhardt Barth:
Sensing Forest for Pattern Recognition. ACIVS 2017: 126-137 - [c83]Stanislau Semeniuta, Aliaksei Severyn, Erhardt Barth:
A Hybrid Convolutional Variational Autoencoder for Text Generation. EMNLP 2017: 627-637 - [c82]Boris Knyazev, Erhardt Barth, Thomas Martinetz:
Recursive autoconvolution for unsupervised learning of convolutional neural networks. IJCNN 2017: 2486-2493 - [i5]Stanislau Semeniuta, Aliaksei Severyn, Erhardt Barth:
A Hybrid Convolutional Variational Autoencoder for Text Generation. CoRR abs/1702.02390 (2017) - [i4]Lars Hertel, Erhardt Barth, Thomas Käster, Thomas Martinetz:
Deep Convolutional Neural Networks as Generic Feature Extractors. CoRR abs/1710.02286 (2017) - 2016
- [j25]Henry Schütze, Erhardt Barth, Thomas Martinetz:
Learning Efficient Data Representations With Orthogonal Sparse Coding. IEEE Trans. Computational Imaging 2(3): 177-189 (2016) - [c81]Stanislau Semeniuta, Aliaksei Severyn, Erhardt Barth:
Recurrent Dropout without Memory Loss. COLING 2016: 1757-1766 - [c80]Irina Burciu, Thomas Martinetz, Erhardt Barth:
Hierarchical Manifold Sensing with Foveation and Adaptive Partitioning of the Dataset. HVEI 2016: 1-10 - [c79]Stanislau Semeniuta, Erhardt Barth:
Image classification with recurrent attention models. SSCI 2016: 1-7 - [i3]Stanislau Semeniuta, Aliaksei Severyn, Erhardt Barth:
Recurrent Dropout without Memory Loss. CoRR abs/1603.05118 (2016) - [i2]Boris Knyazev, Erhardt Barth, Thomas Martinetz:
Autoconvolution for Unsupervised Feature Learning. CoRR abs/1606.00611 (2016) - 2015
- [j24]Foti Coleca, Andreea State, Sascha Klement, Erhardt Barth, Thomas Martinetz:
Self-organizing maps for hand and full body tracking. Neurocomputing 147: 174-184 (2015) - [c78]Irina Burciu, Thomas Martinetz, Erhardt Barth:
Foveated Manifold Sensing for object recognition. BlackSeaCom 2015: 196-200 - [c77]Lars Hertel, Erhardt Barth, Thomas Käster, Thomas Martinetz:
Deep convolutional neural networks as generic feature extractors. IJCNN 2015: 1-4 - [c76]Henry Schütze, Erhardt Barth, Thomas Martinetz:
Learning orthogonal sparse representations by using geodesic flow optimization. IJCNN 2015: 1-8 - 2014
- [c75]Henry Schütze, Erhardt Barth, Thomas Martinetz:
An adaptive hierarchical sensing scheme for sparse signals. Human Vision and Electronic Imaging 2014: 90140G - [c74]Irina Burciu, Adrian Ion-Margineanu, Thomas Martinetz, Erhardt Barth:
Visual manifold sensing. Human Vision and Electronic Imaging 2014: 90141B - [c73]Foti Coleca, Sabrina Zîrnovean, Thomas Käster, Thomas Martinetz, Erhardt Barth:
Key-point Detection with Multi-layer Center-surround Inhibition. VISAPP (1) 2014: 386-393 - [i1]Bogdan Miclut, Thomas Käster, Thomas Martinetz, Erhardt Barth:
Committees of deep feedforward networks trained with few data. CoRR abs/1406.5947 (2014) - 2013
- [c72]Foti Coleca, Thomas Martinetz, Erhardt Barth:
Gesture Interfaces with Depth Sensors. Time-of-Flight and Depth Imaging 2013: 207-227 - [c71]Foti Coleca, Sascha Klement, Thomas Martinetz, Erhardt Barth:
Real-time skeleton tracking for embedded systems. Multimedia Content and Mobile Devices 2013: 86671X - [c70]Mike Wellner, Thomas Käster, Thomas Martinetz, Erhardt Barth:
Optimizing depth-of-field based on a range map and a wavelet transform. Multimedia Content and Mobile Devices 2013: 86671U - [c69]Michael Dorr, Eleonora Vig, Erhardt Barth:
Efficient image representations and features. Human Vision and Electronic Imaging 2013: 86510R - [c68]Laura Pomârjanschi, Michael Dorr, Peter J. Bex, Erhardt Barth:
Simple gaze-contingent cues guide eye movements in a realistic driving simulator. Human Vision and Electronic Imaging 2013: 865110 - 2012
- [j23]Fabian Timm, Erhardt Barth:
Novelty detection for the inspection of light-emitting diodes. Expert Syst. Appl. 39(3): 3413-3422 (2012) - [j22]Jens Hocke, Kai Labusch, Erhardt Barth, Thomas Martinetz:
Sparse Coding and Selected Applications. Künstliche Intell. 26(4): 349-355 (2012) - [j21]Eleonora Vig, Michael Dorr, Thomas Martinetz, Erhardt Barth:
Intrinsic Dimensionality Predicts the Saliency of Natural Dynamic Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 34(6): 1080-1091 (2012) - [j20]Laura Pomârjanschi, Michael Dorr, Erhardt Barth:
Gaze guidance reduces the number of collisions with pedestrians in a driving simulator. ACM Trans. Interact. Intell. Syst. 1(2): 8:1-8:14 (2012) - [c67]Jens Hocke, Michael Dorr, Erhardt Barth:
A compressed sensing model of crowding in peripheral vision. Human Vision and Electronic Imaging 2012: 82910Z - [c66]Jens Hocke, Erhardt Barth, Thomas Martinetz:
Application of non-linear transform coding to image processing. Human Vision and Electronic Imaging 2012: 829105 - [c65]Thomas Binder, Florian Kriener, Christian Wichner, Manuel Wille, Mike Wellner, Thomas Käster, Thomas Martinetz, Erhardt Barth:
How to make a small phone camera shoot like a big DSLR: creating and fusing multi-modal exposure series. Human Vision and Electronic Imaging 2012: 829106 - [c64]Horia Coman, Erhardt Barth, Thomas Martinetz:
Sparse Coding Neural Gas Applied to Image Recognition. WSOM 2012: 105-114 - [c63]Andreea State, Foti Coleca, Erhardt Barth, Thomas Martinetz:
Hand Tracking with an Extended Self-Organizing Map. WSOM 2012: 115-124 - 2011
- [j19]Eleonora Vig, Michael Dorr, Thomas Martinetz, Erhardt Barth:
Eye Movements Show Optimal Average Anticipation with Natural Dynamic Scenes. Cogn. Comput. 3(1): 79-88 (2011) - [j18]Kai Labusch, Erhardt Barth, Thomas Martinetz:
Soft-competitive learning of sparse codes and its application to image reconstruction. Neurocomputing 74(9): 1418-1428 (2011) - [j17]Kai Labusch, Erhardt Barth, Thomas Martinetz:
Robust and Fast Learning of Sparse Codes With Stochastic Gradient Descent. IEEE J. Sel. Top. Signal Process. 5(5): 1048-1060 (2011) - [c62]Nicolas Schneider, Michael Dorr, Laura Pomârjanschi, Erhardt Barth:
A gaze-contingent reading tutor program for children with developmental dyslexia. APGV 2011: 117 - [c61]Laura Pomârjanschi, Michael Dorr, Erhardt Barth:
Gaze guidance reduces the number of vehicle-pedestrian collisions in a driving simulator. APGV 2011: 119 - [c60]Fabian Timm, Erhardt Barth:
Non-parametric texture defect detection using Weibull features. Image Processing: Machine Vision Applications 2011: 78770J - [c59]Fabian Timm, Erhardt Barth:
Accurate, fast, and robust centre localisation for images of semiconductor components. Image Processing: Machine Vision Applications 2011: 787705 - [c58]Eleonora Vig, Michael Dorr, Erhardt Barth:
Learned saliency transformations for gaze guidance. Human Vision and Electronic Imaging 2011: 78650W - [c57]Sascha Klement, Fabian Timm, Erhardt Barth:
Illumination Correction for Image Stitching. IMAGAPP/IVAPP 2011: 81-86 - [c56]Nicolas Schneider, Peter J. Bex, Erhardt Barth, Michael Dorr:
An open-source low-cost eye-tracking system for portable real-time and offline tracking. NGCA 2011: 8 - [c55]Fabian Timm, Erhardt Barth:
Accurate Eye Centre Localisation by Means of Gradients. VISAPP 2011: 125-130 - 2010
- [j16]Andreas Kolb, Erhardt Barth, Reinhard Koch, Rasmus Larsen:
Time-of-Flight Cameras in Computer Graphics. Comput. Graph. Forum 29(1): 141-159 (2010) - [j15]Rasmus Larsen, Erhardt Barth, Andreas Kolb:
Special issue on Time-of-Flight camera based computer vision. Comput. Vis. Image Underst. 114(12): 1317 (2010) - [j14]Martin Böhme, Martin Haker, Thomas Martinetz, Erhardt Barth:
Shading constraint improves accuracy of time-of-flight measurements. Comput. Vis. Image Underst. 114(12): 1329-1335 (2010) - [c54]Eleonora Vig, Michael Dorr, Erhardt Barth:
Contribution of Spatio-temporal Intensity Variation to Bottom-Up Saliency. BIONETICS 2010: 469-474 - [c53]Laura Pomârjanschi, Michael Dorr, Christoph Rasche, Erhardt Barth:
Safer Driving with Gaze Guidance. BIONETICS 2010: 581-586 - [c52]Michael Dorr, Eleonora Vig, Erhardt Barth:
Colour Saliency on Video. BIONETICS 2010: 601-606 - [c51]Kai Labusch, Erhardt Barth, Thomas Martinetz:
Bag of Pursuits and Neural Gas for Improved Sparse Coding. COMPSTAT 2010: 327-336 - [c50]Michael Dorr, Halszka Jarodzka, Erhardt Barth:
Space-variant spatio-temporal filtering of video for gaze visualization and perceptual learning. ETRA 2010: 307-314 - [c49]Eleonora Vig, Michael Dorr, Thomas Martinetz, Erhardt Barth:
A Learned Saliency Predictor for Dynamic Natural Scenes. ICANN (3) 2010: 52-61
2000 – 2009
- 2009
- [j13]Kai Labusch, Erhardt Barth, Thomas Martinetz:
Sparse Coding Neural Gas: Learning of overcomplete data representations. Neurocomputing 72(7-9): 1547-1555 (2009) - [j12]Michael Dorr, Laura Pomârjanschi, Erhardt Barth:
Gaze beats mouse: A case study on a gaze-controlled breakout. PsychNology J. 7(2): 197-211 (2009) - [j11]Arantxa Villanueva, Gintautas Daunys, Dan Witzner Hansen, Martin Böhme, Rafael Cabeza, André Meyer, Erhardt Barth:
A geometric approach to remote eye tracking. Univers. Access Inf. Soc. 8(4): 241-257 (2009) - [c48]Martin Haker, Martin Böhme, Thomas Martinetz, Erhardt Barth:
Self-Organizing Maps for Pose Estimation with a Time-of-Flight Camera. Dyn3D 2009: 142-153 - [c47]Martin Böhme, Martin Haker, Kolja Riemer, Thomas Martinetz, Erhardt Barth:
Face Detection Using a Time-of-Flight Camera. Dyn3D 2009: 167-176 - [c46]Andreas Kolb, Erhardt Barth, Reinhard Koch, Rasmus Larsen:
Time-of-Flight Sensors in Computer Graphics. Eurographics (State of the Art Reports) 2009: 119-134 - [c45]Martin Haker, Martin Böhme, Thomas Martinetz, Erhardt Barth:
Deictic Gestures with a Time-of-Flight Camera. Gesture Workshop 2009: 110-121 - [c44]Martin Haker, Thomas Martinetz, Erhardt Barth:
Multimodal Sparse Features for Object Detection. ICANN (2) 2009: 923-932 - [c43]Cristina Darolti, Erhardt Barth, Christoph Bodensteiner, Ulrich G. Hofmann:
Active contours that grow and compete driven by local region descriptors. Image Processing: Algorithms and Systems 2009: 72450 - [c42]Fabian Timm, Sascha Klement, Thomas Martinetz, Erhardt Barth:
Welding Inspection using Novel Specularity Features and a One-class SVM. VISAPP (1) 2009: 146-153 - [c41]Fabian Timm, Thomas Martinetz, Erhardt Barth:
Optical Inspection of Welding Seams. VISIGRAPP (Selected Papers) 2009: 269-282 - [c40]Kai Labusch, Erhardt Barth, Thomas Martinetz:
Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas. WSOM 2009: 145-153 - 2008
- [j10]Martin Böhme, Martin Haker, Thomas Martinetz, Erhardt Barth:
A facial feature tracker for human-computer interaction based on 3D Time-Of-Flight cameras. Int. J. Intell. Syst. Technol. Appl. 5(3/4): 264-273 (2008) - [j9]Kai Labusch, Erhardt Barth, Thomas Martinetz:
Simple Method for High-Performance Digit Recognition Based on Sparse Coding. IEEE Trans. Neural Networks 19(11): 1985-1989 (2008) - [c39]Martin Böhme, Martin Haker, Thomas Martinetz, Erhardt Barth:
Shading constraint improves accuracy of time-of-flight measurements. CVPR Workshops 2008: 1-6 - [c38]Martin Haker, Martin Böhme, Thomas Martinetz, Erhardt Barth:
Scale-invariant range features for time-of-flight camera applications. CVPR Workshops 2008: 1-6 - [c37]Andreas Kolb, Erhardt Barth, Reinhard Koch:
ToF-sensors: New dimensions for realism and interactivity. CVPR Workshops 2008: 1-6 - [c36]Kai Labusch, Erhardt Barth, Thomas Martinetz:
Learning Data Representations with Sparse Coding Neural Gas. ESANN 2008: 233-238 - [c35]Martin Böhme, Michael Dorr, Mathis Graw, Thomas Martinetz, Erhardt Barth:
A software framework for simulating eye trackers. ETRA 2008: 251-258 - [c34]Kai Labusch, Erhardt Barth, Thomas Martinetz:
Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources. ICANN (1) 2008: 788-797 - 2007
- [c33]Kai Labusch, Udo Siewert, Thomas Martinetz, Erhardt Barth:
Learning optimal features for visual pattern recognition. Human Vision and Electronic Imaging 2007: 64920B - 2006
- [j8]Martin Böhme, Michael Dorr, Christopher Krause, Thomas Martinetz, Erhardt Barth:
Eye movement predictions on natural videos. Neurocomputing 69(16-18): 1996-2004 (2006) - [j7]Til Aach, Cicero Mota, Ingo Stuke, Matthias Mühlich, Erhardt Barth:
Analysis of Superimposed Oriented Patterns. IEEE Trans. Image Process. 15(12): 3690-3700 (2006) - [c32]Martin Böhme, Michael Dorr, Thomas Martinetz, Erhardt Barth:
Gaze-contingent temporal filtering of video. ETRA 2006: 109-115 - [c31]Erhardt Barth, Michael Dorr, Martin Böhme, Karl R. Gegenfurtner, Thomas Martinetz:
Guiding the mind's eye: improving communication and vision by external control of the scanpath. Human Vision and Electronic Imaging 2006: 60570D - [c30]Erhardt Barth, Michael Dorr, Martin Böhme, Karl R. Gegenfurtner, Thomas Martinetz:
Guiding Eye Movements for Better Communication and Augmented Vision. PIT 2006: 1-8 - [c29]Michael Dorr, Martin Böhme, Thomas Martinetz, Erhardt Barth:
Gaze-Contingent Spatio-temporal Filtering in a Head-Mounted Display. PIT 2006: 205-207 - [c28]André Meyer, Martin Böhme, Thomas Martinetz, Erhardt Barth:
A Single-Camera Remote Eye Tracker. PIT 2006: 208-211 - [c27]Ingo Stuke, Erhardt Barth, Cicero Mota:
Estimation of Multiple Orientations and Multiple Motions in Multi-Dimensional Signals. SIBGRAPI 2006: 341-348 - [e1]Bernd Jähne, Rudolf Mester, Erhardt Barth, Hanno Scharr:
Complex Motion, First International Workshop, IWCM 2004, Günzburg, Germany, October 12-14, 2004. Revised Papers. Lecture Notes in Computer Science 3417, Springer 2006, ISBN 978-3-540-69864-7 [contents] - 2005
- [j6]Cicero Mota, Ingo Stuke, Til Aach, Erhardt Barth:
Spatial and spectral analysis of occluded motions. Signal Process. Image Commun. 20(6): 529-536 (2005) - [c26]Michael Dorr, Thomas Martinetz, Martin Böhme, Erhardt Barth:
Visibility of temporal blur on a gaze-contingent display. APGV 2005: 33-36 - [c25]Paul Lukowicz, Erhardt Barth, Jan T. Kim:
Organic Architectures for Large-Scale Environment-Aware Sensor Networks. ARCS Workshops 2005: 131-138 - [c24]Hanno Scharr, Ingo Stuke, Cicero Mota, Erhardt Barth:
Estimation of transparent motions with physical models for additional brightness variation. EUSIPCO 2005: 1-4 - 2004
- [j5]Cicero Mota, Michael Dorr, Ingo Stuke, Erhardt Barth:
Categorization of Transparent-Motion Patterns Using the Projective Plane. ACIS Int. J. Comput. Inf. Sci. 5(2): 129-140 (2004) - [j4]Ingo Stuke, Til Aach, Erhardt Barth, Cicero Mota:
Multiple-Motion-Estimation by Block-matching Using Markov Random Fields. ACIS Int. J. Comput. Inf. Sci. 5(2): 141-152 (2004) - [c23]Cicero Mota, Ingo Stuke, Til Aach, Erhardt Barth:
Estimation of Multiple Orientations at Corners and Junctions. DAGM-Symposium 2004: 163-170 - [c22]Martin Böhme, Christopher Krause, Thomas Martinetz, Erhardt Barth:
Saliency Extraction for Gaze-Contingent Displays. GI Jahrestagung (2) 2004: 646-650 - [c21]Cicero Mota, Michael Dorr, Ingo Stuke, Erhardt Barth:
Analysis and synthesis of motion patterns using the projective plane. Human Vision and Electronic Imaging 2004: 174-181 - [c20]Til Aach, Ingo Stuke, Cicero Mota, Erhardt Barth:
Estimation of multiple local orientations in image signals. ICASSP (3) 2004: 553-556 - [c19]Cicero Mota, Til Aach, Ingo Stuke, Erhardt Barth:
Estimation of multiple orientations in multi-dimensional signals. ICIP 2004: 2665-2668 - [c18]Cicero Mota, Ingo Stuke, Til Aach, Erhardt Barth:
Divide-and-Conquer Strategies for Estimating Multiple Transparent Motions. IWCM 2004: 66-77 - [c17]Til Aach, Erhardt Barth, Claudia Mayntz:
Motion-compensated defect interpolation for flat-panel detectors. Medical Imaging: Image Processing 2004 - [c16]Ingo Stuke, Til Aach, Erhardt Barth, Cicero Mota:
Estimation of multiple motions using block matching and Markov random fields. VCIP 2004 - 2003
- [c15]Amir Madany Mamlouk, Jan T. Kim, Erhardt Barth, Michael Brauckmann, Thomas Martinetz:
One-Class Classification with Subgaussians. DAGM-Symposium 2003: 346-353 - [c14]Erhardt Barth, Jan Drewes, Thomas Martinetz:
Individual predictions of eye-movements with dynamic scenes. Human Vision and Electronic Imaging 2003: 252-259 - [c13]Ingo Stuke, Til Aach, Cicero Mota, Erhardt Barth:
Linear and regularized solutions for multiple motions. ICASSP (3) 2003: 157-160 - [c12]Ingo Stuke, Til Aach, Erhardt Barth, Cicero Mota:
Spatio-temporal motion estimation for transparency and occlusions. ICIP (3) 2003: 65-68 - [c11]Erhardt Barth, Jan Drewes, Thomas Martinetz:
Dynamic predictions of tracked gaze. ISSPA (1) 2003: 245-248 - [c10]Ingo Stuke, Til Aach, Erhardt Barth, Cicero Mota:
Estimation of Multiple Motions by Block Matching. SNPD 2003: 358-362 - [c9]Cicero Mota, Michael Dorr, Ingo Stuke, Erhardt Barth:
Categorization of Transparent-Motion Patterns Using the Projective Plane. SNPD 2003: 363-369 - 2002
- [c8]Erhardt Barth, Ingo Stuke, Cicero Mota:
Analysis of Motion and Curvature in Image Sequences (invited). SSIAI 2002: 206-210 - 2001
- [c7]Cicero Mota, Ingo Stuke, Erhardt Barth:
Analytic solutions for multiple motions. ICIP (2) 2001: 917-920 - [c6]Erhardt Barth, Mario Ferraro, Christoph Zetzsche:
Global Topological Properties of Images Derived from Local Curvature Features. IWVF 2001: 285-294 - 2000
- [j3]Mandyam V. Srinivasan, Shao-Wu Zhang, Javaan S. Chahl, Erhardt Barth, Svetha Venkatesh:
How honeybees make grazing landings on flat surfaces. Biol. Cybern. 83(3): 171-183 (2000) - [c5]Erhardt Barth, Mario Ferraro:
On the Geometric Structure of Spatio-temporal Patterns. AFPAC 2000: 134-143 - [c4]Erhardt Barth:
The Minors of the Structure Tensor. DAGM-Symposium 2000: 221-228
1990 – 1999
- 1999
- [c3]Erhardt Barth:
Bewegung als intrinsische Geometrie von Bildfolgen. DAGM-Symposium 1999: 301-308 - [c2]Erhardt Barth, Bettina L. Beard, Albert J. Ahumada Jr.:
Nonlinear features in vernier acuity. Human Vision and Electronic Imaging 1999: 88-96 - 1998
- [c1]Erhardt Barth, Christoph Zetzsche:
Endstopped operators based on iterated nonlinear center-surround inhibition. Human Vision and Electronic Imaging 1998: 67-78 - 1995
- [b1]Erhardt Barth:
Geometrische Analyse und iterative Synthese von Bildern. Ludwig Maximilian University of Munich, Germany, VDI-Verlag 1995, ISBN 978-3-18-336110-6, pp. 1-145 - 1993
- [j2]Erhardt Barth, Terry Caelli, Christoph Zetzsche:
Image Encoding, Labeling, and Reconstruction from Differential Geometry. CVGIP Graph. Model. Image Process. 55(6): 428-446 (1993) - 1991
- [j1]Christoph Zetzsche, Erhardt Barth:
Direct detection of flow discontinuities by 3D curvature operators. Pattern Recognit. Lett. 12(12): 771-779 (1991)
Coauthor Index
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last updated on 2024-10-07 22:18 CEST by the dblp team
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