Publications (selected list of journal & conference papers) - sorted by year

1994

• Ludwig K-O, Neumann H, Neumann B: Local stereoscopic depth estimation. Image and Vision Computing 12(1): 16-35, 1994.

1995

• Pessoa L, Mingolla E, Neumann H: A contrast- and luminance-driven multiscale network model of brightness perception. Vision Research 35(15): 2201-2223, 1995. (PDF)

1996

• Littmann E, Neumann H, Pessoa L: Neural model for visual contrast detection. In: Proc. 4th European Symposium on Artificial Neural Networks (ESANN'96), Bruges, 193-198, D facto, Brussels, 1996.
• Neumann H: Mechanisms of neural architecture for visual contrast and brightness perception. Neural Networks 9(6): 921-936, 1996. (PDF)
• Littmann E, Neumann H, Redouloux L: Extraction of illusory contours by perceptual grouping. In: Mustererkennung 1996. Informatik aktuell (B. Jähne, P Geißler, H Haußecker, F Hering, eds.). Proc. 18. DAGM-Symposium, Heidelberg, Springer, Berlin, 1996, 243-251.
• Franke T, Neumann H, Seydel R: Anisotropic diffusion based on mean curvature motion: A computational study. In: Mustererkennung 1996. Informatik aktuell (B. Jähne, P Geißler, H Haußecker, F Hering, eds.). Proc. 18. DAGM-Symposium, Heidelberg, Springer, Berlin, 1996, 47-54.

1997

• Glatting G, Weber CR, Rentschler M, Weller R, Neumann H, Reske SN: Bildrekonstruktion bei partiellem Informationsausfall: Hilfe durch die Max.-Entropie-Methode? Nuklearmedizin 36: A72, 1997.
• Pessoa L, Grunewald A, Neumann H, Littmann E: A biological neural network of visual cell responses: Static and motion processing. Journal of the Brazilian Computer Society 1(4): 15-27, 1997.
• Gilchrist I, Humphreys GW, Riddoch MJ, Neumann H: Luminance and edge information in grouping: A study using visual search. Journal of Experimental Psychology: Human Perception and Performance 23(2): 464-480, 1997.

1998

• Neumann H, Pessoa L, Mingolla E: A neural network architecture of brightness perception: Non-linear contrast detection and geometry-driven diffusion. Image and Vision Computing 16(6-7): 423-446, 1998. (PDF)
• Pessoa L, Neumann H: Why does the brain fill-in? Trends in Cognitive Science 2(11):422-424, 1998. (PDF; commentary PDF)
• Grunewald A, Neumann H: Detection of first and second order motion. In: Advances in Neural Information Processing Systems, NIPS'97 (MI Jordan, MJ Kearns, SA Solla, eds.), 801-807, MIT Press, 1998.
• Neumann H: Representations, computation, and inverse ecological optics. Behavioral and Brain Sciences 21-6: 766-767, 1998.
• Ahrns I, Neumann H: Combining Log-polar mapping and Gabor filtering for real-time depth estimation. In: Dynamische Perzeption, Proceedings in Artificial Intelligence 8, 119-125, Infix, Sankt Augustin, 1998.
• Ahrns I, Neumann H: A view-based approach for real-time fixation using the Log-polar mapping. In: Dynamische Perzeption, Proceedings in Artificial Intelligence 8, 89-96, Infix, Sankt Augustin, 1998.
• Ahrns I, Neumann H: Real-time monocular fixation control using the Log-polar transformation and a confidence-based similarity measure. In: Proc. of the 14th Int. Conference on Pattern Recognition (ICPR'98), Vol. I, 310-315, Brisbane, Australia, 1998.
• Ahrns I, Neumann H: Improving phase based disparity estimation by means of filter tuning techniques. In: Proc. of the DAGM'98, 357-364, Stuttgart, 1998.
• Toepfer C, Wende M, Baratoff G, Neumann H: Robot navigation by combining central and peripheral optical flow detection on a space-variant map. In: Proc. 14th International Conference on Pattern Recognition (ICPR'98), Vol. II, Brisbane, Australia, 1804-1807, 1998.
• Toepfer C, Baratoff G, Wende M, Neumann H: Ortsvariante Karte als effektives Datenformat zur Integration visueller Navigationsaufgaben. In: Proc. 20. DAGM-Symposium, Stuttgart, 193-200, 1998.

1999

• Ahrns I, Neumann H: A probabilistic approach for model-free grasping of unknown objects. In: Proc. 7th International Symposium on Intelligent Robotic Systems (SIRS'99) (H Araujo, J Dias (eds.)), University of Coimbra, Portugal. 369-378, 1999.
• Ahrns I, Neumann H: Space-variant dynamic neural fields for visual attention. In: Proc. International Conference on Computer Vision and Pattern Recognition (CVPR'99), Fort Collins, Colorado, 313-318, 1999.
• Neumann H, Sepp W: Recurrent V1-V2 interaction for early visual information processing. In: Proc. 7th European Symposium on Artificial Neural Networks (ESANN'99), (M Verleysen, ed.), 165-170, D-Facto, Brussels, Belgium, 1999.
• Neumann H, Sepp W: Recurrent V1-V2 interaction in early visual boundary processing. Biological Cybernetics 81: 425-444, 1999. (PDF)
• Neumann H, Pessoa L, Hansen T: Interaction of ON and OFF pathways for visual contrast measurement. Biological Cybernetics 81: 515-532, 1999. (PDF)
• Hansen T, Neumann H: A model of V1 visual contrast processing utilizing long-range connections and recurrent interactions. In: Proc. Int.'l Conf. on Artificial Neural Networks (ICANN'99), Edinburgh, GB, 61-66, 1999.
• Sepp W, Neumann H: A multi-resolution filling-in model for brightness perception. In: Proc. Int.'l Conf. on Artificial Neural Networks (ICANN'99), Edinburgh, GB, 461-466, 1999.
• Kestler HA, Schulé M, Schwenker F, Neumann H, Mattfeld T: Klassifikation zytologischer Abstriche der Zervix mit neuronalen Verfahren. Biomedizinische Technik 44(1-2): 17-24, 1999.

2000

• Ahrns I, NeumaNn H: Space-variant active vision for object manipulation based on partial depth reconstruction. In: Dynamische Perzeption (G Baratoff, H Neumann, eds.). Proceedings in Artificial Intelligence 9, 75-80. Akademische Verlagsgesellschaft Aka Gmbh, Berlin, 2000.
• Baratoff G, Toepfer C, Neumann H: Combined space-variant maps for optical-flow based navigation. Biological Cybernetics 83: 199-209, 2000. (PDF)
• Neumann H, Sepp W: Perceptual strength and time course of illusory contour generation explained by a neural model of recurrent cortico-cortical interaction. Perception 29 (Suppl., 23rd ECVP): 71, 2000.
• Hansen T, Baratoff G, Neumann H: A simple cell model with dominating opponent inhibition for robust contrast detection. Kognitionswissenschaft 9: 93-100, 2000.
• Viviani R, Neumann H, Spitzer M: Modelling attention with neural maps and learning theory. In: Cognitive Neuroscience Society Annual Meeting, San Francisco, USA, April 2000.
• Ahrns I, Neumann H: Space-variant image processing. In: Dynamische Perzeption (G Baratoff, H Neumann, eds.). Proceedings in Artificial Intelligence 9. Akademische Verlagsgesellschaft Aka Gmbh, Berlin, 2000, 203-206.
• Baratoff G, Schönfelder , Ahrns I, Neumann H: Orientation contrast detection in space-variant images. In: BMVC 2000 (SW Lee, HH Bülthoff, T Poggio, eds.), 2000, 554-563.

2001

• Hansen T, Sepp W, Neumann H: Recurrent long-range interactions in early vision. In: Emergent Neural Computational Architectures, S. Wermter (ed.). LNAI 2036, Springer, Heidelberg, 2001, 127-138.
• Hansen T, Neumann H: Neural mechanisms for representing surface and contour features. In: Emergent Neural Computational Architectures, S. Wermter (ed.), LNAI 2036, Springer, Heidelberg, 2001, 139-153.
• Neumann H, Hansen T, Pessoa L: Visual filling-in for computing perceptual surface properties. Biological Cybernetics 85: 355-369, 2001. (PDF)
• Neumann H, Mingolla E: Computational neural models of spatial integration in perceptual grouping. In: From Fragments to Objects - Segmentation and Grouping in Vision, TF Shipley, PJ Kellman (eds.), Elsevier Science, Amsterdam, 2001, 353-400. (PDF)
• Gavrila DM, Giebel J, Neumann H: Learning shape models from examples. In: Pattern Recognition (B Radig, S Florczyk, eds.). Proc. 23. DAGM-Symposium, Munich, LNCS 2191, Springer, Berlin, 2001, 369-376.
• Grebe O, Höher M, Schwenker F, Neumann H, Wöhrle J, Palm G, Hombach V, Kestler HA: New markers for diastolic function by cardiac magnetic resonance imaging. Computers in Cardiology 28: 625-628, 2001.

2002

• Hansen T, Neumann H: A computational model of recurrent, colinear long-range interaction in V1 for contour enhancement and junction detection. Proc. 2nd Annual Meeting of the Vision ScienceS Society (VSS'02), Sarasota, Florida, USA, 42, 2002.
• Bayerl P, Neumann H: Recurrent processing in the dorsal pathway underlies the robust integration and segregation of motion patterns. Proc. 2nd Annual Meeting of the Vision ScienceS Society (VSS'02), Sarasota, Florida, USA, 226, 2002.
• Bayerl P, Neumann H: Cortical mechanisms of processing visual flow - Insights from the Pinna-Brelstaff illusion. In: Dynamic Perception, RP Würtz, M Lappe (eds.) (Proc. 4th Workshop Dynamische Perzeption, Bochum, Nov. 14-15), AKA, 2002, pp. 23-28.
• Keil MS, Christobal G, Neumann H: Brightness perception and real world image processing - A unifying account. In: Dynamic Perception, RP Würtz, M Lappe (eds.) (Proc. 4th Workshop Dynamische Perzeption, Bochum, Nov. 14-15), AKA, 2002, pp. 215-220.
• Hansen T, Neumann H: A biologically motivated scheme for robust junction detection. In: HH Bülthoff, S-W Lee, TA Poggio, C Wallraven (eds.). Biologically Motivated Computer Vision (Proc. 2nd Int. Workshop, BMCV'02, Tübingen, Germany, Nov. 22-24, 2002), LNCS 2525, Springer, 16-26.
• Thielscher A, Schuboe A, Neumann H: A neural model of human texture processing: Texture segmentation vs. visual search. In: HH Bülthoff, S-W Lee, TA Poggio, C Wallraven (eds.). Biologically Motivated Computer Vision (Proc. 2nd Int. Workshop, BMCV'02, Tübingen, Germany, Nov. 22-24, 2002), LNCS 2525, Springer, 99-108.
• Bayerl P, Neumann H: Neural mechanisms of visual flow integration and segregation - Insights from the Pinna-Brelstaff illusion and variations of it. In: HH Bülthoff, S-W Lee, TA Poggio, C Wallraven (eds.). Biologically Motivated Computer Vision (Proc. 2nd Int. Workshop, BMCV'02, Tübingen, Germany, Nov. 22-24, 2002), LNCS 2525, Springer, 301-310.

2003

• Bayerl P, Neumann H: Bewegungswahrnehmung - die Illusion der Realität. Nervenheilkunde 22: 322-324, 2003.
• Bayerl P, Neumann H: Complementary computations for motion binding, segregation, and the neural solution to the aperture problem. Perception 32(Suppl.): 19-20, 2003.
• Thielscher A, Neumann H: Neural mechanisms of cortico-cortical interaction in texture boundary detection: A modeling approach. Neuroscience 122: 921-939, 2003. (PDF)
• Neumann H, Mingolla E: Contour and surface perception. In: Handbook of Brain Theory and Neural Networks, 2nd ed., MA Arbib (ed.), MIT Press, Cambridge, 2003, 271-276.
• Neumann, H.: Completion phenomena in vision: A computational approach. In: Filling-In - From perceptual completion to cortical reorganization, L Pessoa, P De Weerd (eds.), Oxford Univ. Press, New York, 2003, 151-173.
• Groen G, Neumann H, Spitzer M, Wunderlich A, Thielscher A: Texture segmentation in human perception: A combined modeling and fMRI study. Human Brain Mapping 2003, Abstracts, June 18-22, New York, 2003.
• Meis U, Ritter W, Neumann H: Detection and classification of obstacles in night vision traffic scenes based on infrared imagery. Proc. IEEE Int. Conf. on Intelligent Transportation Systems, ITS'03, Shanghai, P.R.China, Oct. 12-15, 2003, 1140-1145.

2004

• Hansen T, Neumann H: Neural mechanisms for the robust representation of junctions. Neural Computation 16: 1013-1037, 2004. (PDF)
• Hansen T, Neumann H: A simple cell model with dominating opponent inhibition for robust image processing. Neural Networks 17: 647-662, 2004. (PDF)
• Hansen T, Neumann H: Robust contour extraction and junction detection by a neural model utilizing recurrent long-range interactions. In: Dynamic Perception, UJ Ilg, HH Bülthoff, HA Mallot (eds.) (Proc. 5th Workshop Dynamische Perzeption, Tübingen, Nov. 18-19), IOS Press, infix, 2004, pp. 177-182.
• Bayerl P, Neumann H: Diasambiguating visual motion by form-motion interaction - a computational model. EcoVision Early Cognitive Vision Workshop (Isle of Skye, Scotland, May 28 - June 1), 2004 (http://www.cn.stir.ac.uk/ecovision-ws/).
• Bayerl P, Neumann H: Disambiguating visual motion through contextual feedback modulation. Neural Computation 16: 2041-2066, 2004. (PDF)
• Bayerl P, Neumann H: Unified mechanisms in the disambiguation and grouping of visual information in motion, stereo, and monocular depth perception. Perception 33 (Suppl.): 79, 2004.
• Bayerl P, Neumann H: A model of motion, stereo, and monocular depth perception. In: C.E. Rassmussen, HH Bülthoff, MA Giese, B Schölkopf(eds.). Pattern Recognition (Proc. 26th DAGM Symp., Tübingen, Aug. 30 - Sept. 1, 2004), LNCS 3175, Springer, 95-102.
• Schweiger R, Bayerl P, Neumann H: Neural architecture for temporal emotion classification. In: E Andre, L Dybkjaer, W Minker, P Heisterkamp (eds.). Affective Dialogue Systems (ADS'04), LNCS/LNAI 3068, Springer, 49-52. (preprint PDF, final version upon request)
• Clauss M, Bayerl P, Neumann H: Evaluation of regions-of-interest based attention algorithms using a probabilistic measure. In: Dynamic Perception, UJ Ilg, HH Bülthoff, HA Mallot (eds.) (Proc. 5th Workshop Dynamische Perzeption, Tübingen, Nov. 18-19), IOS Press, infix, 2004, pp. 227-232.
• Clauss M, Bayerl P, Neumann H: A statistical measure for evaluating regions-of interest based attention algorithms. In: CE Rassmussen, HH Bülthoff, MA Giese, B Schölkopf (eds.). Pattern Recognition (Proc. 26th DAGM Symp., Tübingen, Aug. 30 - Sept. 1, 2004), LNCS 3175, Springer, 383-390.
• Reichle R, Bayerl P, Neumann H: A self-organized neural network for pattern recognition. In: Dynamic Perception, UJ Ilg, HH Bülthoff, HA Mallot (eds.) (Proc. 5th Workshop Dynamische Perzeption, Tübingen, Nov. 18-19), IOS Press, infix, 2004, pp. 183-188.
• Fischer S, Bayerl P, Neumann H, Christobal G, Redondo R: Are iterations and curvature useful for tensor voting?. In: European Conf. on Computer Vision 2004, ECCV '04, T Pajdla, J Matas (eds.), LNCS 3023, 158-169, 2004.

2005

• Thielscher A, Neumann H: Neural mechanisms of human texture processing: Texture boundary detection and visual search. Spatial Vision 18(2): 227-257, 2005. (PDF)
• Weidenbacher U, Bayerl P, Fleming RW, Neumann H: Perception of mirrored surfaces. Journal of Vision 5(8): 526a, 2005.
• Bayerl P, Neumann H: Attention and figure-ground segregation in a model of motion perception. Journal of Vision 5(8): 659a, 2005.
• Bayerl P, Neumann H: Judgement of gaze direction is affected by the looker’s head silhouette. Perception (Suppl.), 34, 206, 2005
• Schweiger R, Neumann H, Ritter W: Multiple-cue data fusion with particle filters for vehicle detection in night view automotive applications. Proc. IEEE Intelligent Vehicles Symp., IV'05, Las Vegas, Nevada, June 6-8, 2005.
• Weidenbacher U, Bayerl P, Fleming RW, Neumann H: Extracting and depicting the 3D shape of specular surfaces. ACM SIGGRAPH, 2nd Symp. on Applied Perception in Graphics and Visualization (APGV 2005) A Coruna, Spain, Aug. 26-28, 2005, 83-86.
• Kessler H, Hoffmann H, Bayerl P, Neumann H, Basic A, Deighton RM, Traue HC: Die Messung von Emotionserkennung mittels Computer-Morphing. Nervenheilkunde 24: 611-614, 2005.
• Clauss M, Bayerl P, Neumann H: Segmentation of independently moving objects using a maximum-likelihood principle. In: P Levi, M Schanz, R Lafrenz, V Avrutin (Hrsg.). Autonome Mobile Systeme 2005. Informatik Aktuell, Springer, Berlin, 81-87.

2006

• Keil MS, Cristobal G, Neumann H: Gradient representation and perception in the early visual system - A novel account of Mach band formation. Vision Research 46: 2659-2674, 2006. (PDF)
• Weidenbacher U, Bayerl P, Neumann H: Generation of sketch-like feature encodings in oriented faces - A neural model. Journal of Vision 6(6), 1069a, 2006.
• Bayerl P, Neumann H: Feature attention in motion perception - a computational account. Journal of Vision 6(6), 513a, 2006.
• Weidenbacher U, Layher G, Bayerl P, Neumann H: Detection of head pose and gaze direction for human-computer interaction. in: E Andre, L Dybkjaer, W Minker, H Neumann, M Weber (eds.). Perception and Interactive Technologies (PIT'06), LNAI 4021, Springer, 9-19.
• Mahler T, Bayerl P, Neumann H, Weber M: Visual attention in auditory display. in: E Andre, L Dybkjaer, W Minker, H Neumann, M Weber (eds.). Perception and Interactive Technologies (PIT'06), LNAI 4021, Springer, 65-72.
• Bausch T, Bayerl P, Neumann H: Multi-level face tracking for estimating human head orientation in video sequences. in: E Andre, L Dybkjaer, W Minker, H Neumann, M Weber (eds.). Perception and Interactive Technologies (PIT'06), LNAI 4021, Springer, 179-182.
• Beck C, Bayerl P, Neumann H: Optic flow integration at multiple spatial frequencies - Neural mechanism and algorithm. Int'l. Symp. on Visual Computing (ISVC'06), LNCS 4291, Springer, 741-750. (preprint PDF, final version upon request)
• Weidenbacher U, Bayerl P, Neumann H, Fleming R: Sketching shiny surfaces: 3D shape extraction and depiction of specular surfaces. ACM Trans. on Applied Perception 3(3): 262-285, 2006. (PDF)

2007

• Bayerl P, Neumann H: A fast biologically inspired algorithm for recurrent motion estimation. IEEE Trans. on PAMI 29(2): 246-260, 2007. (PDF)
• Bayerl P, Neumann H: Disambiguating visual motion by form-motion interaction - a computational model. Int.'l Journal of Computer Vision 72: 27-45, 2007. (PDF)
• Thielscher A, Neumann, H: A computational model to link psychophysics and cortical cell activation patterns in human texture processing. Journal of Computational Neuroscience 22: 255-282, 2007. (PDF)
• Bayerl P, Neumann H: A neural model of feature attention in motion perception. BioSystems 89: 208-215, 2007. (PDF)
• Beck C, Gottbehüt T, Neumann H: Integration of multiple temporal and spatial scales for robust optic flow estimation in a biologically inspired architecture. Proc. 12th Int'l Conf. on Computer Analysis of Images and Patterns, CAIP'07, LNCS, 53-60, Springer. (preprint PDF, final version upon request)
• Weidenbacher U, Layher G, Strauss P-M, Neumann H: A comprehensive head pose and gaze database. Proc. 3rd Int'l Conf. on Intelligent Environments, IE'07, LNCS, Springer (in press). (preprint PDF, final version upon request)
• Ringbauer S, Bayerl P, Neumann H: Neural mechanisms for mid-level optical flow pattern detection. Proc. Int'l Conf. on Artificial Neural Networks, ICANN'07, LNCS, 282-290, Springer. (preprint PDF, final version upon request)
• Fischer S, Bayerl P, Neumann H, Redondo R, Cristobal G: Iterated tensor voting and curvature improvement. Signal Processing 87: 2503-2515, 2007. (PDF)
• Carranza N, Cristobal G, Bayerl P, Neumann H: Motion estimation of magnetic resonance cardiac images using the Wigner-Ville and Hough transforms. Optics and Spectroscopy 103(6): 877-885, 2007. (PDF)
• Neumann H, Yazdanbakhsh A, Mingolla E: Seeing surfaces: The brain's vision of the world. Physics of Life Reviews 4: 189-222, 2007. (PDF)

2008

• Thielscher A, Neumann H: Globally consistent depth sorting of overlapping 2D surfaces in a model using local recurrent interactions. Biological Cybernetics , 2008, DOI 10.1007/s00422-008-0211-7. (PDF)
• Thielscher A, Kölle M, Neumann H, Spitzer M, Grön G: Texture segmentation in human perception: A combined modeling and fMRI study. Neuroscience 151: 730-736, 2008. (PDF)
• Raudies F, Neumann H: Biologically inspired attentive motion analysis for video surveillance. Proc. Int'l. Conf. on Computer Vision Theory and Applications, Funchal, Portugal, Jan. 22-25, 2008. (PDF)
• Hansen T, Neumann H: A recurrent model of contour integration in primary visual cortex. Journal of Vision 8(8): 8, 1-25, 2008. (PDF)
• Beck C, Thorpe S, Neumann H: Neural rank-order coding with spiking neurons for cortical motion detection and integration. Proc. Int'l. Conf. on Cognitive Systems, CogSys 2008, Karlsruhe, Germany, Apr. 2-4, 2008.
• Raudies F, Neumann H: Neural model for the perception of form and implied motion. Proc. Int'l. Conf. on Cognitive Systems, CogSys 2008, Karlsruhe, Germany, Apr. 2-4, 2008.
• Weidenbacher U, Neumann H: Unsupervised learning of head pose through spike-timing dependent plasticity. in: E Andre, L Dybkjaer, W Minker, H Neumann, M Weber (eds.). Perception and Interactive Technologies (PIT'08), LNAI 5078, 123-131, Springer, 2008. (preprint PDF, final version upon request)