| 2012 | ||
|---|---|---|
| j30 | Florian Raudies, Heiko Neumann: A review and evaluation of methods estimating ego-motion. Computer Vision and Image Understanding 116(5): 606-633 (2012) | |
| j29 | Martin Hopfensitz, Christoph Müssel, Christian Wawra, Markus Maucher, Michael Kühl, Heiko Neumann, Hans A. Kestler: Multiscale Binarization of Gene Expression Data for Reconstructing Boolean Networks. IEEE/ACM Trans. Comput. Biology Bioinform. 9(2): 487-498 (2012) | |
| c59 | Heiko Neumann, Florian Raudies: Neural Mechanisms for Form and Motion Detection and Integration: Biology Meets Machine Vision. ECCV Workshops (1) 2012: 468-473 | |
| c58 | Georg Layher, Martin A. Giese, Heiko Neumann: Learning Representations for Animated Motion Sequence and Implied Motion Recognition. ICANN (1) 2012: 288-295 | |
| c57 | Tobias Brosch, Heiko Neumann: The Brain's Sequential Parallelism: Perceptual Decision-Making and Early Sensory Responses. ICONIP (2) 2012: 41-50 | |
| c56 | Tobias Brosch, Heiko Neumann: The Combination of HMAX and HOGs in an Attention Guided Framework for Object Localization. ICPRAM (2) 2012: 281-288 | |
| c55 | Stefan Scherer, Georg Layher, John Kane, Heiko Neumann, Nick Campbell: An audiovisual political speech analysis incorporating eye-tracking and perception data. LREC 2012: 1114-1120 | |
| 2011 | ||
| j28 | Johannes Huth, Malte Buchholz, Johann M. Kraus, Kristian Mølhave, Cristian Gradinaru, Götz v. Wichert, Thomas M. Gress, Heiko Neumann, Hans A. Kestler: TimeLapseAnalyzer: Multi-target analysis for live-cell imaging and time-lapse microscopy. Computer Methods and Programs in Biomedicine 104(2): 227-234 (2011) | |
| j27 | Jan D. Bouecke, Émilien Tlapale, Pierre Kornprobst, Heiko Neumann: Neural Mechanisms of Motion Detection, Integration, and Segregation: From Biology to Artificial Image Processing Systems. EURASIP J. Adv. Sig. Proc. 2011 (2011) | |
| j26 | Florian Raudies, Ennio Mingolla, Heiko Neumann: A Model of Motion Transparency Processing with Local Center-Surround Interactions and Feedback. Neural Computation 23(11): 2868-2914 (2011) | |
| c54 | Michael Glodek, Stephan Tschechne, Georg Layher, Martin Schels, Tobias Brosch, Stefan Scherer, Markus Kächele, Miriam Schmidt, Heiko Neumann, Günther Palm, Friedhelm Schwenker: Multiple Classifier Systems for the Classification of Audio-Visual Emotional States. ACII (2) 2011: 359-368 | |
| c53 | Stefan Ringbauer, Stephan Tschechne, Heiko Neumann: Mechanisms of Adaptive Spatial Integration in a Neural Model of Cortical Motion Processing. ICANNGA (1) 2011: 110-119 | |
| c52 | Georg Layher, Hendrik Liebau, Robert Niese, Ayoub Al-Hamadi, Bernd Michaelis, Heiko Neumann: Robust Stereoscopic Head Pose Estimation in Human-Computer Interaction and a Unified Evaluation Framework. ICIAP (1) 2011: 227-236 | |
| 2010 | ||
| j25 | Florian Raudies, Heiko Neumann: A neural model of the temporal dynamics of figure-ground segregation in motion perception. Neural Networks 23(2): 160-176 (2010) | |
| c51 | Émilien Tlapale, Pierre Kornprobst, Jan D. Bouecke, Heiko Neumann, Guillaume S. Masson: Evaluating Motion Estimation Models from Behavioural and Psychophysical Data. BIONETICS 2010: 483-496 | |
| c50 | Robert Niese, Ayoub Al-Hamadi, Bernd Michaelis, Heiko Neumann: Integration of geometric and dynamic features for facial expression recognition in color image sequences. SoCPaR 2010: 237-240 | |
| 2009 | ||
| c49 | Florian Raudies, Heiko Neumann: An Efficient Linear Method for the Estimation of Ego-Motion from Optical Flow. DAGM-Symposium 2009: 11-20 | |
| 2008 | ||
| j24 | 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) | |
| j23 | Heiko Neumann, Luiz Pessoa, Thorsten Hansen: Interaction of ON and OFF pathways for visual contrast measurement. Biological Cybernetics 98(4): 353 (2008) | |
| c48 | Petra-Maria Strauß, Holger Hoffmann, Wolfgang Minker, Heiko Neumann, Günther Palm, Stefan Scherer, Harald C. Traue, Ulrich Weidenbacher: The PIT Corpus of German Multi-Party Dialogues. LREC 2008 | |
| c47 | Ulrich Weidenbacher, Heiko Neumann: Unsupervised Learning of Head Pose through Spike-Timing Dependent Plasticity. PIT 2008: 123-131 | |
| c46 | Cornelia Beck, Umberto Olcese, Alberto Montagner, Stefan Ringbauer, Heiko Neumann, Antonio Frisoli, Rita Almeida, Massimo Bergamasco, Gustavo Deco: A neuroinspired cognitive behavioral control architecture for visually driven mobile robotics. ROBIO 2008: 2190-2196 | |
| c45 | Florian Raudies, Heiko Neumann: Biologically Inspired Attentive Motion Analysis for Video Surveillance. VISAPP (2) 2008: 645-650 | |
| e2 | Elisabeth André, Laila Dybkjær, Wolfgang Minker, Heiko Neumann, Roberto Pieraccini, Michael Weber (Eds.): 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. Lecture Notes in Computer Science 5078, Springer 2008, isbn 978-3-540-69368-0 | |
| 2007 | ||
| j22 | Pierre Bayerl, Heiko Neumann: A neural model of feature attention in motion perception. Biosystems 89(1-3): 208-215 (2007) | |
| j21 | Pierre Bayerl, Heiko Neumann: Disambiguating Visual Motion by Form-Motion Interaction - a Computational Model. International Journal of Computer Vision 72(1): 27-45 (2007) | |
| j20 | 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) | |
| j19 | Pierre Bayerl, Heiko Neumann: A Fast Biologically Inspired Algorithm for Recurrent Motion Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 29(2): 246-260 (2007) | |
| j18 | Sylvain Fischer, Pierre Bayerl, Heiko Neumann, Rafael Redondo, Gabriel Cristóbal: Iterated tensor voting and curvature improvement. Signal Processing 87(11): 2503-2515 (2007) | |
| c44 | 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 | |
| c43 | Stefan Ringbauer, Pierre Bayerl, Heiko Neumann: Neural Mechanisms for Mid-Level Optical Flow Pattern Detection. ICANN (2) 2007: 281-290 | |
| 2006 | ||
| j17 | 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) | |
| c42 | Cornelia Beck, Pierre Bayerl, Heiko Neumann: Optic Flow Integration at Multiple Spatial Frequencies - Neural Mechanism and Algorithm. ISVC (1) 2006: 741-750 | |
| c41 | Ulrich Weidenbacher, Georg Layher, Pierre Bayerl, Heiko Neumann: Detection of Head Pose and Gaze Direction for Human-Computer Interaction. PIT 2006: 9-19 | |
| c40 | Thorsten D. Mahler, Pierre Bayerl, Heiko Neumann, Michael Weber: Visual Attention in Auditory Display. PIT 2006: 65-72 | |
| c39 | Tobias Bausch, Pierre Bayerl, Heiko Neumann: Multi-level Face Tracking for Estimating Human Head Orientation in Video Sequences. PIT 2006: 179-182 | |
| e1 | Elisabeth André, Laila Dybkjær, Wolfgang Minker, Heiko Neumann, Michael Weber (Eds.): Perception and Interactive Technologies, International Tutorial and Research Workshop, PIT 2006, Kloster Irsee, Germany, June 19-21, 2006, Proceedings. Lecture Notes in Computer Science 4021, Springer 2006, isbn 3-540-34743-7 | |
| 2005 | ||
| j16 | 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) | |
| c38 | Martin Clauss, Pierre Bayerl, Heiko Neumann: Segmentation of Independently Moving Objects Using a Maximum-Likelihood Principle. AMS 2005: 81-87 | |
| c37 | Ulrich Weidenbacher, Pierre Bayerl, Roland W. Fleming, Heiko Neumann: Extracting and depicting the 3D shape of specular surfaces. APGV 2005: 83-86 | |
| 2004 | ||
| j15 | Thorsten Hansen, Heiko Neumann: Neural Mechanisms for the Robust Representation of Junctions. Neural Computation 16(5): 1013-1037 (2004) | |
| j14 | Pierre Bayerl, Heiko Neumann: Disambiguating Visual Motion Through Contextual Feedback Modulation. Neural Computation 16(10): 2041-2066 (2004) | |
| j13 | Thorsten Hansen, Heiko Neumann: A simple cell model with dominating opponent inhibition for robust image processing. Neural Networks 17(5-6): 647-662 (2004) | |
| c36 | Roland Schweiger, Pierre Bayerl, Heiko Neumann: Neural Architecture for Temporal Emotion Classification. ADS 2004: 49-52 | |
| c35 | Pierre Bayerl, Heiko Neumann: A Model of Motion, Stereo, and Monocular Depth Perception. DAGM-Symposium 2004: 95-102 | |
| c34 | Martin Clauss, Pierre Bayerl, Heiko Neumann: A Statistical Measure for Evaluating Regions-of-Interest Based Attention Algorithms. DAGM-Symposium 2004: 383-390 | |
| c33 | Sylvain Fischer, Pierre Bayerl, Heiko Neumann, Gabriel Cristóbal, Rafael Redondo: Are Iterations and Curvature Useful for Tensor Voting? ECCV (3) 2004: 158-169 | |
| 2003 | ||
| c32 | 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 | |
| c31 | Frank Seifart, Pierre Bayerl, Heiko Neumann: A neural model for heading detection from optic flow. ESANN 2003: 319-324 | |
| c30 | A. Zehender, Pierre Bayerl, Heiko Neumann: A view-based approach for object recognition from image sequences. ESANN 2003: 457-462 | |
| c29 | Matthias S. Keil, Gabriel Cristóbal, Heiko Neumann: Neural mechanisms for segregation and recovering of intrinsic image features. ICIP (1) 2003: 693-696 | |
| 2002 | ||
| c28 | Thorsten Hansen, Heiko Neumann: A Biologically Motivated Scheme for Robust Junction Detection. Biologically Motivated Computer Vision 2002: 16-26 | |
| c27 | 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 | |
| c26 | 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 | |
| 2001 | ||
| j12 | Heiko Neumann, Luiz Pessoa, Thorsten Hansen: Visual filling-in for computing perceptual surface properties. Biological Cybernetics 85(5): 355-369 (2001) | |
| c25 | Dariu Gavrila, Jan Giebel, Heiko Neumann: Learning Shape Models from Examples. DAGM-Symposium 2001: 369-376 | |
| c24 | Matthias S. Keil, Gabriel Cristóbal, Heiko Neumann: A Neurodynamical Retinal Network Based on Reaction-Diffusion Systems. ICIAP 2001: 209-214 | |
| c23 | Thorsten Hansen, Wolfgang Sepp, Heiko Neumann: Recurrent Long-Range Interactions in Early Vision. Emergent Neural Computational Architectures Based on Neuroscience 2001: 127-138 | |
| c22 | Thorsten Hansen, Heiko Neumann: Neural Mechanisms for Representing Surface and Contour Features. Emergent Neural Computational Architectures Based on Neuroscience 2001: 139-153 | |
| 2000 | ||
| j11 | Gregory Baratoff, Christian Toepfer, Heiko Neumann: Combined space-variant maps for optical-flow-based navigation. Biological Cybernetics 83(3): 199-209 (2000) | |
| j10 | Thorsten Hansen, Gregory Baratoff, Heiko Neumann: A simple cell model with dominating opponent inhibition for robust contrast detection. Kognitionswissenschaft 9(2): 93-100 (2000) | |
| c21 | Gregory Baratoff, Ralph Schönfelder, Ingo Ahrns, Heiko Neumann: Orientation Contrast Detection in Space-Variant Images. Biologically Motivated Computer Vision 2000: 554-563 | |
| 1999 | ||
| j9 | Heiko Neumann, Wolfgang Sepp: Recurrent V1-V2 interaction in early visual boundary processing. Biological Cybernetics 81(5-6): 425-444 (1999) | |
| j8 | Heiko Neumann, Luiz Pessoa, Thorsten Hansen: Interaction of ON and OFF pathways for visual contrast measurement. Biological Cybernetics 81(5-6): 515-532 (1999) | |
| j7 | Gregory Baratoff, Ingo Ahrns, Christian Toepfer, Heiko Neumann: Ortsvariantes aktives Sehen: Von biologisches Motivation zu technisches Realisation. KI 13(1): 33-35 (1999) | |
| c20 | Ingo Ahrns, Heiko Neumann: Space-Variant Dynamic Neural Fields for Visual Attention. CVPR 1999: 2313-2318 | |
| c19 | Thorsten Hansen, Gregory Baratoff, Heiko Neumann: Dominating Opponent Inhibition of On and Off Pathways for Robust Contrast Detection. DAGM-Symposium 1999: 232-239 | |
| c18 | Heiko Neumann, Wolfgang Sepp: Recurrent V1-V2 interaction for early visual information processing. ESANN 1999: 165-170 | |
| 1998 | ||
| j6 | 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) | |
| c17 | Christian Toepfer, Gregory Baratoff, Moritz Wende, Heiko Neumann: Ortsvariante Karte als effektives Datenformat zur Integration visueller Navigationsaufgaben. DAGM-Symposium 1998: 193-200 | |
| c16 | Ingo Ahrns, Heiko Neumann: Improving Phase-Based Disparity Estimation by Means of Filter Tuning Techniques. DAGM-Symposium 1998: 357-364 | |
| 1997 | ||
| j5 | 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) | |
| c15 | ||
| 1996 | ||
| j4 | Heiko Neumann: Mechanisms of Neural Architecture for Visual Contrast and Brightness Perception. Neural Networks 9(6): 921-936 (1996) | |
| c14 | T. Franke, Heiko Neumann, R. Seydel: Anisotropic Diffusion Based on Mean Curvature Motion: A Computational Study. DAGM-Symposium 1996: 47-54 | |
| c13 | Enno Littmann, Heiko Neumann, Laurent Redouloux: Extraction of Illusory Contours by Perceptual Grouping. DAGM-Symposium 1996: 243-251 | |
| c12 | ||
| c11 | Heiko Neumann, Petra Mössner: Neural Model of Cortical Dynamics in Resonant Boundary Detection and Grouping. ICANN 1996: 857-862 | |
| 1995 | ||
| j3 | Heiko Neumann: Neuroinformatische Modellbildung zur visuellen Informationsverarbeitung. KI 9(6): 27-31 (1995) | |
| 1994 | ||
| j2 | Kai-Oliver Ludwig, Heiko Neumann, Bernd Neumann: Local stereoscopic depth estimation. Image Vision Comput. 12(1): 16-35 (1994) | |
| 1993 | ||
| c10 | 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 | |
| c9 | 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 | ||
| j1 | 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) | |
| c8 | Kai-Oliver Ludwig, Heiko Neumann, Bernd Neumann: Local Stereoscopic Depth Estimation Using Ocular Stripe Maps. ECCV 1992: 373-377 | |
| c7 | Kai-Oliver Ludwig, Heiko Neumann, Bernd Neumann: Local stereoscopic depth estimation using ocular stripe maps. Theoretical Foundations of Computer Vision 1992 | |
| 1991 | ||
| c6 | Kai-Oliver Ludwig, Bernd Neumann, Heiko Neumann: Lokale stereoskopische Tiefenschätzung. DAGM-Symposium 1991: 544-551 | |
| 1989 | ||
| c5 | Heiko Neumann: On the Capacity of Quantitative Computational Shape Recovery from Local Shading Information. DAGM-Symposium 1989: 124-128 | |
| c4 | Svend Back, Heiko Neumann, H. Siegfried Stiehl: On Scale-Space Edge Detection in Computed Tomograms. DAGM-Symposium 1989: 216-223 | |
| c3 | 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 | ||
| c2 | Heiko Neumann: Extraction of Image Domain Primitives with a Network of Competitive/Cooperative Processes. GWAI 1988: 265-274 | |
| 1981 | ||
| c1 | D. Bartels, Heiko Neumann, H. Siegfried Stiehl: Modellgestützte Analyse von kranialen Computer-Tomogrammen. DAGM-Symposium 1981: 195-202 | |
Colors in the list of coauthors
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