The SCEAS System
Navigation Menu
Introduction
Collection Based
Clustering
Ranking
Paper Based
Journals
Conferences
DB Status
Statistics
Search

Search the dblp DataBase

Title:
Author:
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]


Search in 0.004secs, Finished in 0.456secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
Introduction Collection Based Clustering Ranking Paper Based Journals Conferences DB Status Statistics Search
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002