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ORCIDPierre Bayerl
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2000 – 2009
- 2007
[j6]Pierre Bayerl, Heiko Neumann:
A neural model of feature attention in motion perception. Biosyst. 89(1-3): 208-215 (2007)- [j5]Pierre Bayerl, Heiko Neumann:
Disambiguating Visual Motion by Form-Motion Interaction - a Computational Model. Int. J. Comput. Vis. 72(1): 27-45 (2007) - [j4]Pierre Bayerl, Heiko Neumann:
A Fast Biologically Inspired Algorithm for Recurrent Motion Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 29(2): 246-260 (2007) - [j3]Sylvain Fischer, Pierre Bayerl, Heiko Neumann, Rafael Redondo, Gabriel Cristóbal
:
Iterated tensor voting and curvature improvement. Signal Process. 87(11): 2503-2515 (2007) - [c14]Stefan Ringbauer, Pierre Bayerl, Heiko Neumann:
Neural Mechanisms for Mid-Level Optical Flow Pattern Detection. ICANN (2) 2007: 281-290 - 2006
- [j2]Ulrich Weidenbacher, Pierre Bayerl, Heiko Neumann, Roland W. Fleming:
Sketching shiny surfaces: 3D shape extraction and depiction of specular surfaces. ACM Trans. Appl. Percept. 3(3): 262-285 (2006) - [c13]Cornelia Beck, Pierre Bayerl, Heiko Neumann:
Optic Flow Integration at Multiple Spatial Frequencies - Neural Mechanism and Algorithm. ISVC (1) 2006: 741-750 - [c12]Ulrich Weidenbacher, Georg Layher, Pierre Bayerl, Heiko Neumann:
Detection of Head Pose and Gaze Direction for Human-Computer Interaction. PIT 2006: 9-19 - [c11]Thorsten D. Mahler, Pierre Bayerl, Heiko Neumann, Michael Weber:
Visual Attention in Auditory Display. PIT 2006: 65-72 - [c10]Tobias Bausch, Pierre Bayerl, Heiko Neumann:
Multi-level Face Tracking for Estimating Human Head Orientation in Video Sequences. PIT 2006: 179-182 - 2005
- [b1]Pierre Bayerl:
A model of visual motion perception. University of Ulm, Germany, 2005, pp. 1-125 - [c9]Martin Clauss, Pierre Bayerl, Heiko Neumann:
Segmentation of Independently Moving Objects Using a Maximum-Likelihood Principle. AMS 2005: 81-87 - [c8]Ulrich Weidenbacher, Pierre Bayerl, Roland W. Fleming, Heiko Neumann:
Extracting and depicting the 3D shape of specular surfaces. APGV 2005: 83-86 - 2004
- [j1]Pierre Bayerl, Heiko Neumann:
Disambiguating Visual Motion Through Contextual Feedback Modulation. Neural Comput. 16(10): 2041-2066 (2004) - [c7]Roland Schweiger, Pierre Bayerl, Heiko Neumann:
Neural Architecture for Temporal Emotion Classification. ADS 2004: 49-52 - [c6]Pierre Bayerl, Heiko Neumann:
A Model of Motion, Stereo, and Monocular Depth Perception. DAGM-Symposium 2004: 95-102 - [c5]Martin Clauss, Pierre Bayerl, Heiko Neumann:
A Statistical Measure for Evaluating Regions-of-Interest Based Attention Algorithms. DAGM-Symposium 2004: 383-390 - [c4]Sylvain Fischer, Pierre Bayerl, Heiko Neumann, Gabriel Cristóbal, Rafael Redondo:
Are Iterations and Curvature Useful for Tensor Voting? ECCV (3) 2004: 158-169 - 2003
- [c3]Frank Seifart, Pierre Bayerl, Heiko Neumann:
A neural model for heading detection from optic flow. ESANN 2003: 319-324 - [c2]A. Zehender, Pierre Bayerl, Heiko Neumann:
A view-based approach for object recognition from image sequences. ESANN 2003: 457-462 - 2002
- [c1]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
Coauthor Index
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