 | 2009 |
|---|
| 68 |       | Florian Raudies,
Heiko Neumann:
An Efficient Linear Method for the Estimation of Ego-Motion from Optical Flow.
DAGM-Symposium 2009: 11-20 |
| 2008 |
|---|
| 67 |  | Elisabeth André,
Laila Dybkjær,
Wolfgang Minker,
Heiko Neumann,
Roberto Pieraccini,
Michael Weber:
Perception in Multimodal Dialogue Systems, 4th IEEE Tutorial and Research Workshop on Perception and Interactive Technologies for Speech-Based Systems, PIT 2008, Kloster Irsee, Germany, June 16-18, 2008, Proceedings
Springer 2008 |
| 66 | | Ulrich Weidenbacher,
Heiko Neumann:
Unsupervised Learning of Head Pose through Spike-Timing Dependent Plasticity.
PIT 2008: 123-131 |
| 65 | | Florian Raudies,
Heiko Neumann:
Biologically Inspired Attentive Motion Analysis for Video Surveillance.
VISAPP (2) 2008: 645-650 |
| 64 | | Axel Thielscher,
Heiko Neumann:
Globally consistent depth sorting of overlapping 2D surfaces in a model using local recurrent interactions.
Biological Cybernetics 98(4): 305-337 (2008) |
| 63 | | Heiko Neumann,
Luiz Pessoa,
Thorsten Hansen:
Interaction of ON and OFF pathways for visual contrast measurement.
Biological Cybernetics 98(4): 353 (2008) |
| 2007 |
|---|
| 62 | | Cornelia Beck,
Thomas Gottbehuet,
Heiko Neumann:
Integration of Multiple Temporal and Spatial Scales for Robust Optic Flow Estimation in a Biologically Inspired Algorithm.
CAIP 2007: 53-60 |
| 61 | | Stefan Ringbauer,
Pierre Bayerl,
Heiko Neumann:
Neural Mechanisms for Mid-Level Optical Flow Pattern Detection.
ICANN (2) 2007: 281-290 |
| 60 | | Pierre Bayerl,
Heiko Neumann:
A Fast Biologically Inspired Algorithm for Recurrent Motion Estimation.
IEEE Trans. Pattern Anal. Mach. Intell. 29(2): 246-260 (2007) |
| 59 | | Pierre Bayerl,
Heiko Neumann:
Disambiguating Visual Motion by Form-Motion Interaction - a Computational Model.
International Journal of Computer Vision 72(1): 27-45 (2007) |
| 58 | | Axel Thielscher,
Heiko Neumann:
A computational model to link psychophysics and cortical cell activation patterns in human texture processing.
Journal of Computational Neuroscience 22(3): 255-282 (2007) |
| 57 | | Sylvain Fischer,
Pierre Bayerl,
Heiko Neumann,
Rafael Redondo,
Gabriel Cristóbal:
Iterated tensor voting and curvature improvement.
Signal Processing 87(11): 2503-2515 (2007) |
| 2006 |
|---|
| 56 | | Elisabeth André,
Laila Dybkjær,
Wolfgang Minker,
Heiko Neumann,
Michael Weber:
Perception and Interactive Technologies, International Tutorial and Research Workshop, PIT 2006, Kloster Irsee, Germany, June 19-21, 2006, Proceedings
Springer 2006 |
| 55 | | Cornelia Beck,
Pierre Bayerl,
Heiko Neumann:
Optic Flow Integration at Multiple Spatial Frequencies - Neural Mechanism and Algorithm.
ISVC (1) 2006: 741-750 |
| 54 | | Tobias Bausch,
Pierre Bayerl,
Heiko Neumann:
Multi-level Face Tracking for Estimating Human Head Orientation in Video Sequences.
PIT 2006: 179-182 |
| 53 | | Thorsten D. Mahler,
Pierre Bayerl,
Heiko Neumann,
Michael Weber:
Visual Attention in Auditory Display.
PIT 2006: 65-72 |
| 52 | | Ulrich Weidenbacher,
Georg Layher,
Pierre Bayerl,
Heiko Neumann:
Detection of Head Pose and Gaze Direction for Human-Computer Interaction.
PIT 2006: 9-19 |
| 51 | | Ulrich Weidenbacher,
Pierre Bayerl,
Heiko Neumann,
Roland W. Fleming:
Sketching shiny surfaces: 3D shape extraction and depiction of specular surfaces.
TAP 3(3): 262-285 (2006) |
| 2005 |
|---|
| 50 | | Martin Clauss,
Pierre Bayerl,
Heiko Neumann:
Segmentation of Independently Moving Objects Using a Maximum-Likelihood Principle.
AMS 2005: 81-87 |
| 49 | | Ulrich Weidenbacher,
Pierre Bayerl,
Roland W. Fleming,
Heiko Neumann:
Extracting and depicting the 3D shape of specular surfaces.
APGV 2005: 83-86 |
| 48 | | Matthias S. Keil,
Gabriel Cristóbal,
Thorsten Hansen,
Heiko Neumann:
Recovering real-world images from single-scale boundaries with a novel filling-in architecture.
Neural Networks 18(10): 1319-1331 (2005) |
| 2004 |
|---|
| 47 | | Roland Schweiger,
Pierre Bayerl,
Heiko Neumann:
Neural Architecture for Temporal Emotion Classification.
ADS 2004: 49-52 |
| 46 | | Martin Clauss,
Pierre Bayerl,
Heiko Neumann:
A Statistical Measure for Evaluating Regions-of-Interest Based Attention Algorithms.
DAGM-Symposium 2004: 383-390 |
| 45 | | Pierre Bayerl,
Heiko Neumann:
A Model of Motion, Stereo, and Monocular Depth Perception.
DAGM-Symposium 2004: 95-102 |
| 44 | | Sylvain Fischer,
Pierre Bayerl,
Heiko Neumann,
Gabriel Cristóbal,
Rafael Redondo:
Are Iterations and Curvature Useful for Tensor Voting?
ECCV (3) 2004: 158-169 |
| 43 | | Pierre Bayerl,
Heiko Neumann:
Disambiguating Visual Motion Through Contextual Feedback Modulation.
Neural Computation 16(10): 2041-2066 (2004) |
| 42 | | Thorsten Hansen,
Heiko Neumann:
Neural Mechanisms for the Robust Representation of Junctions.
Neural Computation 16(5): 1013-1037 (2004) |
| 41 | | Thorsten Hansen,
Heiko Neumann:
A simple cell model with dominating opponent inhibition for robust image processing.
Neural Networks 17(5-6): 647-662 (2004) |
| 2003 |
|---|
| 40 | | Haythem El-Messiry,
Hans A. Kestler,
Olaf Grebe,
Heiko Neumann:
Morphological Scale-Space Decomposition for Segmenting the Ventricular Structure in Cardiac MR Images.
Bildverarbeitung für die Medizin 2003: 181-185 |
| 39 | | Frank Seifart,
Pierre Bayerl,
Heiko Neumann:
A neural model for heading detection from optic flow.
ESANN 2003: 319-324 |
| 38 | | A. Zehender,
Pierre Bayerl,
Heiko Neumann:
A view-based approach for object recognition from image sequences.
ESANN 2003: 457-462 |
| 37 | | Matthias S. Keil,
Gabriel Cristóbal,
Heiko Neumann:
Neural mechanisms for segregation and recovering of intrinsic image features.
ICIP (1) 2003: 693-696 |
| 2002 |
|---|
| 36 | | Thorsten Hansen,
Heiko Neumann:
A Biologically Motivated Scheme for Robust Junction Detection.
Biologically Motivated Computer Vision 2002: 16-26 |
| 35 | | Pierre Bayerl,
Heiko Neumann:
Neural Mechanisms of Visual Flow Integration and Segregation - Insights from the Pinna-Brelstaff Illusion and Variations of It.
Biologically Motivated Computer Vision 2002: 301-310 |
| 34 | | Axel Thielscher,
Anna Schubö,
Heiko Neumann:
A Neural Model of Human Texture Processing: Texture Segmentation vs. Visual Search.
Biologically Motivated Computer Vision 2002: 99-108 |
| 2001 |
|---|
| 33 | | Dariu Gavrila,
Jan Giebel,
Heiko Neumann:
Learning Shape Models from Examples.
DAGM-Symposium 2001: 369-376 |
| 32 | | Thorsten Hansen,
Wolfgang Sepp,
Heiko Neumann:
Recurrent Long-Range Interactions in Early Vision.
Emergent Neural Computational Architectures Based on Neuroscience 2001: 127-138 |
| 31 | | Thorsten Hansen,
Heiko Neumann:
Neural Mechanisms for Representing Surface and Contour Features.
Emergent Neural Computational Architectures Based on Neuroscience 2001: 139-153 |
| 30 | | Matthias S. Keil,
Gabriel Cristóbal,
Heiko Neumann:
A Neurodynamical Retinal Network Based on Reaction-Diffusion Systems.
ICIAP 2001: 209-214 |
| 29 | | Heiko Neumann,
Luiz Pessoa,
Thorsten Hansen:
Visual filling-in for computing perceptual surface properties.
Biological Cybernetics 85(5): 355-369 (2001) |
| 2000 |
|---|
| 28 | | Gregory Baratoff,
Ralph Schönfelder,
Ingo Ahrns,
Heiko Neumann:
Orientation Contrast Detection in Space-Variant Images.
Biologically Motivated Computer Vision 2000: 554-563 |
| 27 | | Thorsten Hansen,
Gregory Baratoff,
Heiko Neumann:
A simple cell model with dominating opponent inhibition for robust contrast detection.
Kognitionswissenschaft 9(2): 93-100 (2000) |
| 1999 |
|---|
| 26 | | Ingo Ahrns,
Heiko Neumann:
Space-Variant Dynamic Neural Fields for Visual Attention.
CVPR 1999: 2313-2318 |
| 25 | | Thorsten Hansen,
Gregory Baratoff,
Heiko Neumann:
Dominating Opponent Inhibition of On and Off Pathways for Robust Contrast Detection.
DAGM-Symposium 1999: 232-239 |
| 24 | | Heiko Neumann,
Wolfgang Sepp:
Recurrent V1-V2 interaction for early visual information processing.
ESANN 1999: 165-170 |
| 23 | | Gregory Baratoff,
Ingo Ahrns,
Christian Toepfer,
Heiko Neumann:
Ortsvariantes aktives Sehen: Von biologisches Motivation zu technisches Realisation.
KI 13(1): 33-35 (1999) |
| 1998 |
|---|
| 22 | | Christian Toepfer,
Gregory Baratoff,
Moritz Wende,
Heiko Neumann:
Ortsvariante Karte als effektives Datenformat zur Integration visueller Navigationsaufgaben.
DAGM-Symposium 1998: 193-200 |
| 21 | | Ingo Ahrns,
Heiko Neumann:
Improving Phase-Based Disparity Estimation by Means of Filter Tuning Techniques.
DAGM-Symposium 1998: 357-364 |
| 20 | | Heiko Neumann,
Luiz Pessoa,
Ennio Mingolla:
A neural architecture of brightness perception: non-linear contrast detection and geometry-driven diffusion.
Image Vision Comput. 16(6-7): 423-446 (1998) |
| 1997 |
|---|
| 19 | | Alexander Grunewald,
Heiko Neumann:
Detection of First and Second Order Motion.
NIPS 1997 |
| 18 | | Luiz Pessoa,
Alexander Grunewald,
Heiko Neumann,
Enno Littmann:
A Biological Neural Network of Visual Cell Responses: Static and Motion Processing.
J. Braz. Comp. Soc. 4(1): (1997) |
| 1996 |
|---|
| 17 | | Enno Littmann,
Heiko Neumann,
Laurent Redouloux:
Extraction of Illusory Contours by Perceptual Grouping.
DAGM-Symposium 1996: 243-251 |
| 16 | | T. Franke,
Heiko Neumann,
R. Seydel:
Anisotropic Diffusion Based on Mean Curvature Motion: A Computational Study.
DAGM-Symposium 1996: 47-54 |
| 15 | | Heiko Neumann,
Petra Mössner:
Neural Model of Cortical Dynamics in Resonant Boundary Detection and Grouping.
ICANN 1996: 857-862 |
| 14 | | Heiko Neumann:
Mechanisms of Neural Architecture for Visual Contrast and Brightness Perception.
Neural Networks 9(6): 921-936 (1996) |
| 1995 |
|---|
| 13 | | Heiko Neumann:
Neuroinformatische Modellbildung zur visuellen Informationsverarbeitung.
KI 9(6): 27-31 (1995) |
| 1994 |
|---|
| 12 | | Kai-Oliver Ludwig,
Heiko Neumann,
Bernd Neumann:
Local stereoscopic depth estimation.
Image Vision Comput. 12(1): 16-35 (1994) |
| 1993 |
|---|
| 11 | | Martin Fick,
Heiko Neumann,
Karsten Ottenberg,
H. Siegfried Stiehl:
On Ramp-Edge Preserving Weak Membrane Reconstruction of Smooth Intensity Functions from 2-D Computed Tomograms.
DAGM-Symposium 1993: 228-236 |
| 10 | | Ian R. Billups,
Heiko Neumann,
H. Siegfried Stiehl,
Lothar Wieske:
A Neural Architecture for Emergent Visual Contrast, Brightness, and Space Perception.
DAGM-Symposium 1993: 261-270 |
| 1992 |
|---|
| 9 | | Kai-Oliver Ludwig,
Heiko Neumann,
Bernd Neumann:
Local Stereoscopic Depth Estimation Using Ocular Stripe Maps.
ECCV 1992: 373-377 |
| 8 | | Kai-Oliver Ludwig,
Heiko Neumann,
Bernd Neumann:
Local stereoscopic depth estimation using ocular stripe maps.
Theoretical Foundations of Computer Vision 1992 |
| 7 | | Manfred Kopisch,
Heiko Neumann,
Birte Prahl,
Mathias Kalle Dalheimer,
Christiane Löckenhoff,
Christoph Thomas,
Enno Littmann,
Kai Seim:
KIFS '92, ein Rückblick.
KI 6(3): 58-63 (1992) |
| 1991 |
|---|
| 6 | | Kai-Oliver Ludwig,
Bernd Neumann,
Heiko Neumann:
Lokale stereoskopische Tiefenschätzung.
DAGM-Symposium 1991: 544-551 |
| 1989 |
|---|
| 5 | | Heiko Neumann:
On the Capacity of Quantitative Computational Shape Recovery from Local Shading Information.
DAGM-Symposium 1989: 124-128 |
| 4 | | Svend Back,
Heiko Neumann,
H. Siegfried Stiehl:
On Scale-Space Edge Detection in Computed Tomograms.
DAGM-Symposium 1989: 216-223 |
| 3 | | Heiko Neumann,
H. Siegfried Stiehl:
A Competitive/Cooperative (Artificial Neutral) Network Approach to the Extraction of N-th Order Edge Junctions.
DAGM-Symposium 1989: 256-263 |
| 1988 |
|---|
| 2 | | Heiko Neumann:
Extraction of Image Domain Primitives with a Network of Competitive/Cooperative Processes.
GWAI 1988: 265-274 |
| 1981 |
|---|
| 1 | | D. Bartels,
Heiko Neumann,
H. Siegfried Stiehl:
Modellgestützte Analyse von kranialen Computer-Tomogrammen.
DAGM-Symposium 1981: 195-202 |
