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Heiko Neumann: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Roland Schweiger, Pierre Bayerl, Heiko Neumann
    Neural Architecture for Temporal Emotion Classification. [Citation Graph (0, 0)][DBLP]
    ADS, 2004, pp:49-52 [Conf]
  2. Haythem El-Messiry, Hans A. Kestler, Olaf Grebe, Heiko Neumann
    Morphological Scale-Space Decomposition for Segmenting the Ventricular Structure in Cardiac MR Images. [Citation Graph (0, 0)][DBLP]
    Bildverarbeitung für die Medizin, 2003, pp:181-185 [Conf]
  3. Gregory Baratoff, Ralph Schönfelder, Ingo Ahrns, Heiko Neumann
    Orientation Contrast Detection in Space-Variant Images. [Citation Graph (0, 0)][DBLP]
    Biologically Motivated Computer Vision, 2000, pp:554-563 [Conf]
  4. Pierre Bayerl, Heiko Neumann
    Neural Mechanisms of Visual Flow Integration and Segregation - Insights from the Pinna-Brelstaff Illusion and Variations of It. [Citation Graph (0, 0)][DBLP]
    Biologically Motivated Computer Vision, 2002, pp:301-310 [Conf]
  5. Thorsten Hansen, Heiko Neumann
    A Biologically Motivated Scheme for Robust Junction Detection. [Citation Graph (0, 0)][DBLP]
    Biologically Motivated Computer Vision, 2002, pp:16-26 [Conf]
  6. Axel Thielscher, Anna Schubö, Heiko Neumann
    A Neural Model of Human Texture Processing: Texture Segmentation vs. Visual Search. [Citation Graph (0, 0)][DBLP]
    Biologically Motivated Computer Vision, 2002, pp:99-108 [Conf]
  7. Ingo Ahrns, Heiko Neumann
    Space-Variant Dynamic Neural Fields for Visual Attention. [Citation Graph (0, 0)][DBLP]
    CVPR, 1999, pp:2313-2318 [Conf]
  8. Ian R. Billups, Heiko Neumann, H. Siegfried Stiehl, Lothar Wieske
    A Neural Architecture for Emergent Visual Contrast, Brightness, and Space Perception. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1993, pp:261-270 [Conf]
  9. D. Bartels, Heiko Neumann, H. Siegfried Stiehl
    Modellgestützte Analyse von kranialen Computer-Tomogrammen. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1981, pp:195-202 [Conf]
  10. Ingo Ahrns, Heiko Neumann
    Improving Phase-Based Disparity Estimation by Means of Filter Tuning Techniques. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1998, pp:357-364 [Conf]
  11. Pierre Bayerl, Heiko Neumann
    A Model of Motion, Stereo, and Monocular Depth Perception. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2004, pp:95-102 [Conf]
  12. Svend Back, Heiko Neumann, H. Siegfried Stiehl
    On Scale-Space Edge Detection in Computed Tomograms. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1989, pp:216-223 [Conf]
  13. Martin Clauss, Pierre Bayerl, Heiko Neumann
    A Statistical Measure for Evaluating Regions-of-Interest Based Attention Algorithms. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2004, pp:383-390 [Conf]
  14. 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. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1993, pp:228-236 [Conf]
  15. T. Franke, Heiko Neumann, R. Seydel
    Anisotropic Diffusion Based on Mean Curvature Motion: A Computational Study. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1996, pp:47-54 [Conf]
  16. Dariu Gavrila, Jan Giebel, Heiko Neumann
    Learning Shape Models from Examples. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2001, pp:369-376 [Conf]
  17. Thorsten Hansen, Gregory Baratoff, Heiko Neumann
    Dominating Opponent Inhibition of On and Off Pathways for Robust Contrast Detection. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1999, pp:232-239 [Conf]
  18. Enno Littmann, Heiko Neumann, Laurent Redouloux
    Extraction of Illusory Contours by Perceptual Grouping. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1996, pp:243-251 [Conf]
  19. Kai-Oliver Ludwig, Bernd Neumann, Heiko Neumann
    Lokale stereoskopische Tiefenschätzung. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1991, pp:544-551 [Conf]
  20. Heiko Neumann
    On the Capacity of Quantitative Computational Shape Recovery from Local Shading Information. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1989, pp:124-128 [Conf]
  21. Heiko Neumann, H. Siegfried Stiehl
    A Competitive/Cooperative (Artificial Neutral) Network Approach to the Extraction of N-th Order Edge Junctions. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1989, pp:256-263 [Conf]
  22. Christian Toepfer, Gregory Baratoff, Moritz Wende, Heiko Neumann
    Ortsvariante Karte als effektives Datenformat zur Integration visueller Navigationsaufgaben. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1998, pp:193-200 [Conf]
  23. Sylvain Fischer, Pierre Bayerl, Heiko Neumann, Gabriel Cristóbal, Rafael Redondo
    Are Iterations and Curvature Useful for Tensor Voting? [Citation Graph (0, 0)][DBLP]
    ECCV (3), 2004, pp:158-169 [Conf]
  24. Kai-Oliver Ludwig, Heiko Neumann, Bernd Neumann
    Local Stereoscopic Depth Estimation Using Ocular Stripe Maps. [Citation Graph (0, 0)][DBLP]
    ECCV, 1992, pp:373-377 [Conf]
  25. Heiko Neumann, Wolfgang Sepp
    Recurrent V1-V2 interaction for early visual information processing. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:165-170 [Conf]
  26. Frank Seifart, Pierre Bayerl, Heiko Neumann
    A neural model for heading detection from optic flow. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:319-324 [Conf]
  27. A. Zehender, Pierre Bayerl, Heiko Neumann
    A view-based approach for object recognition from image sequences. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:457-462 [Conf]
  28. Heiko Neumann, Petra Mössner
    Neural Model of Cortical Dynamics in Resonant Boundary Detection and Grouping. [Citation Graph (0, 0)][DBLP]
    ICANN, 1996, pp:857-862 [Conf]
  29. Matthias S. Keil, Gabriel Cristóbal, Heiko Neumann
    A Neurodynamical Retinal Network Based on Reaction-Diffusion Systems. [Citation Graph (0, 0)][DBLP]
    ICIAP, 2001, pp:209-214 [Conf]
  30. Matthias S. Keil, Gabriel Cristóbal, Heiko Neumann
    Neural mechanisms for segregation and recovering of intrinsic image features. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2003, pp:693-696 [Conf]
  31. Cornelia Beck, Pierre Bayerl, Heiko Neumann
    Optic Flow Integration at Multiple Spatial Frequencies - Neural Mechanism and Algorithm. [Citation Graph (0, 0)][DBLP]
    ISVC (1), 2006, pp:741-750 [Conf]
  32. Heiko Neumann
    Extraction of Image Domain Primitives with a Network of Competitive/Cooperative Processes. [Citation Graph (0, 0)][DBLP]
    GWAI, 1988, pp:265-274 [Conf]
  33. Thorsten Hansen, Heiko Neumann
    Neural Mechanisms for Representing Surface and Contour Features. [Citation Graph (0, 0)][DBLP]
    Emergent Neural Computational Architectures Based on Neuroscience, 2001, pp:139-153 [Conf]
  34. Thorsten Hansen, Wolfgang Sepp, Heiko Neumann
    Recurrent Long-Range Interactions in Early Vision. [Citation Graph (0, 0)][DBLP]
    Emergent Neural Computational Architectures Based on Neuroscience, 2001, pp:127-138 [Conf]
  35. Alexander Grunewald, Heiko Neumann
    Detection of First and Second Order Motion. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  36. Tobias Bausch, Pierre Bayerl, Heiko Neumann
    Multi-level Face Tracking for Estimating Human Head Orientation in Video Sequences. [Citation Graph (0, 0)][DBLP]
    PIT, 2006, pp:179-182 [Conf]
  37. Thorsten D. Mahler, Pierre Bayerl, Heiko Neumann, Michael Weber
    Visual Attention in Auditory Display. [Citation Graph (0, 0)][DBLP]
    PIT, 2006, pp:65-72 [Conf]
  38. Ulrich Weidenbacher, Georg Layher, Pierre Bayerl, Heiko Neumann
    Detection of Head Pose and Gaze Direction for Human-Computer Interaction. [Citation Graph (0, 0)][DBLP]
    PIT, 2006, pp:9-19 [Conf]
  39. Kai-Oliver Ludwig, Heiko Neumann, Bernd Neumann
    Local stereoscopic depth estimation using ocular stripe maps. [Citation Graph (0, 0)][DBLP]
    Theoretical Foundations of Computer Vision, 1992, pp:- [Conf]
  40. Pierre Bayerl, Heiko Neumann
    Disambiguating Visual Motion by Form-Motion Interaction - a Computational Model. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2007, v:72, n:1, pp:27-45 [Journal]
  41. Kai-Oliver Ludwig, Heiko Neumann, Bernd Neumann
    Local stereoscopic depth estimation. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 1994, v:12, n:1, pp:16-35 [Journal]
  42. Heiko Neumann, Luiz Pessoa, Ennio Mingolla
    A neural architecture of brightness perception: non-linear contrast detection and geometry-driven diffusion. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 1998, v:16, n:6-7, pp:423-446 [Journal]
  43. Luiz Pessoa, Alexander Grunewald, Heiko Neumann, Enno Littmann
    A Biological Neural Network of Visual Cell Responses: Static and Motion Processing. [Citation Graph (0, 0)][DBLP]
    J. Braz. Comp. Soc., 1997, v:4, n:1, pp:- [Journal]
  44. Gregory Baratoff, Ingo Ahrns, Christian Toepfer, Heiko Neumann
    Ortsvariantes aktives Sehen: Von biologisches Motivation zu technisches Realisation. [Citation Graph (0, 0)][DBLP]
    KI, 1999, v:13, n:1, pp:33-35 [Journal]
  45. Manfred Kopisch, Heiko Neumann, Birte Prahl, Mathias Kalle Dalheimer, Christiane Löckenhoff, Christoph Thomas, Enno Littmann, Kai Seim
    KIFS '92, ein Rückblick. [Citation Graph (0, 0)][DBLP]
    KI, 1992, v:6, n:3, pp:58-63 [Journal]
  46. Heiko Neumann
    Neuroinformatische Modellbildung zur visuellen Informationsverarbeitung. [Citation Graph (0, 0)][DBLP]
    KI, 1995, v:9, n:6, pp:27-31 [Journal]
  47. Thorsten Hansen, Gregory Baratoff, Heiko Neumann
    A simple cell model with dominating opponent inhibition for robust contrast detection. [Citation Graph (0, 0)][DBLP]
    Kognitionswissenschaft, 2000, v:9, n:2, pp:93-100 [Journal]
  48. Pierre Bayerl, Heiko Neumann
    Disambiguating Visual Motion Through Contextual Feedback Modulation. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:10, pp:2041-2066 [Journal]
  49. Thorsten Hansen, Heiko Neumann
    Neural Mechanisms for the Robust Representation of Junctions. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:5, pp:1013-1037 [Journal]
  50. Thorsten Hansen, Heiko Neumann
    A simple cell model with dominating opponent inhibition for robust image processing. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:5-6, pp:647-662 [Journal]
  51. Matthias S. Keil, Gabriel Cristóbal, Thorsten Hansen, Heiko Neumann
    Recovering real-world images from single-scale boundaries with a novel filling-in architecture. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:10, pp:1319-1331 [Journal]
  52. Heiko Neumann
    Mechanisms of Neural Architecture for Visual Contrast and Brightness Perception. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:6, pp:921-936 [Journal]
  53. Pierre Bayerl, Heiko Neumann
    A Fast Biologically Inspired Algorithm for Recurrent Motion Estimation. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:2, pp:246-260 [Journal]
  54. Ulrich Weidenbacher, Pierre Bayerl, Heiko Neumann, Roland W. Fleming
    Sketching shiny surfaces: 3D shape extraction and depiction of specular surfaces. [Citation Graph (0, 0)][DBLP]
    TAP, 2006, v:3, n:3, pp:262-285 [Journal]
  55. Cornelia Beck, Thomas Gottbehuet, Heiko Neumann
    Integration of Multiple Temporal and Spatial Scales for Robust Optic Flow Estimation in a Biologically Inspired Algorithm. [Citation Graph (0, 0)][DBLP]
    CAIP, 2007, pp:53-60 [Conf]
  56. Stefan Ringbauer, Pierre Bayerl, Heiko Neumann
    Neural Mechanisms for Mid-Level Optical Flow Pattern Detection. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2007, pp:281-290 [Conf]
  57. Heiko Neumann, Luiz Pessoa, Thorsten Hansen
    Visual filling-in for computing perceptual surface properties. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2001, v:85, n:5, pp:355-369 [Journal]
  58. Sylvain Fischer, Pierre Bayerl, Heiko Neumann, Rafael Redondo, Gabriel Cristóbal
    Iterated tensor voting and curvature improvement. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2007, v:87, n:11, pp:2503-2515 [Journal]

  59. Segmentation of Independently Moving Objects Using a Maximum-Likelihood Principle. [Citation Graph (, )][DBLP]


  60. An Efficient Linear Method for the Estimation of Ego-Motion from Optical Flow. [Citation Graph (, )][DBLP]


  61. Unsupervised Learning of Head Pose through Spike-Timing Dependent Plasticity. [Citation Graph (, )][DBLP]


  62. Biologically Inspired Attentive Motion Analysis for Video Surveillance. [Citation Graph (, )][DBLP]


  63. Extracting and depicting the 3D shape of specular surfaces. [Citation Graph (, )][DBLP]


  64. The PIT Corpus of German Multi-Party Dialogues. [Citation Graph (, )][DBLP]


  65. Globally consistent depth sorting of overlapping 2D surfaces in a model using local recurrent interactions. [Citation Graph (, )][DBLP]


  66. Interaction of ON and OFF pathways for visual contrast measurement. [Citation Graph (, )][DBLP]


  67. Combined space-variant maps for optical-flow-based navigation. [Citation Graph (, )][DBLP]


  68. Recurrent V1-V2 interaction in early visual boundary processing. [Citation Graph (, )][DBLP]


  69. Interaction of ON and OFF pathways for visual contrast measurement. [Citation Graph (, )][DBLP]


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