2007 |
19 | EE | Stefan Ringbauer,
Pierre Bayerl,
Heiko Neumann:
Neural Mechanisms for Mid-Level Optical Flow Pattern Detection.
ICANN (2) 2007: 281-290 |
18 | EE | Pierre Bayerl,
Heiko Neumann:
A Fast Biologically Inspired Algorithm for Recurrent Motion Estimation.
IEEE Trans. Pattern Anal. Mach. Intell. 29(2): 246-260 (2007) |
17 | EE | Pierre Bayerl,
Heiko Neumann:
Disambiguating Visual Motion by Form-Motion Interaction - a Computational Model.
International Journal of Computer Vision 72(1): 27-45 (2007) |
16 | EE | Sylvain Fischer,
Pierre Bayerl,
Heiko Neumann,
Rafael Redondo,
Gabriel Cristóbal:
Iterated tensor voting and curvature improvement.
Signal Processing 87(11): 2503-2515 (2007) |
2006 |
15 | EE | Cornelia Beck,
Pierre Bayerl,
Heiko Neumann:
Optic Flow Integration at Multiple Spatial Frequencies - Neural Mechanism and Algorithm.
ISVC (1) 2006: 741-750 |
14 | EE | Tobias Bausch,
Pierre Bayerl,
Heiko Neumann:
Multi-level Face Tracking for Estimating Human Head Orientation in Video Sequences.
PIT 2006: 179-182 |
13 | EE | Thorsten D. Mahler,
Pierre Bayerl,
Heiko Neumann,
Michael Weber:
Visual Attention in Auditory Display.
PIT 2006: 65-72 |
12 | EE | Ulrich Weidenbacher,
Georg Layher,
Pierre Bayerl,
Heiko Neumann:
Detection of Head Pose and Gaze Direction for Human-Computer Interaction.
PIT 2006: 9-19 |
11 | EE | 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) |
2005 |
10 | EE | Martin Clauss,
Pierre Bayerl,
Heiko Neumann:
Segmentation of Independently Moving Objects Using a Maximum-Likelihood Principle.
AMS 2005: 81-87 |
9 | EE | Ulrich Weidenbacher,
Pierre Bayerl,
Roland W. Fleming,
Heiko Neumann:
Extracting and depicting the 3D shape of specular surfaces.
APGV 2005: 83-86 |
2004 |
8 | EE | Roland Schweiger,
Pierre Bayerl,
Heiko Neumann:
Neural Architecture for Temporal Emotion Classification.
ADS 2004: 49-52 |
7 | EE | Martin Clauss,
Pierre Bayerl,
Heiko Neumann:
A Statistical Measure for Evaluating Regions-of-Interest Based Attention Algorithms.
DAGM-Symposium 2004: 383-390 |
6 | EE | Pierre Bayerl,
Heiko Neumann:
A Model of Motion, Stereo, and Monocular Depth Perception.
DAGM-Symposium 2004: 95-102 |
5 | EE | Sylvain Fischer,
Pierre Bayerl,
Heiko Neumann,
Gabriel Cristóbal,
Rafael Redondo:
Are Iterations and Curvature Useful for Tensor Voting?
ECCV (3) 2004: 158-169 |
4 | EE | Pierre Bayerl,
Heiko Neumann:
Disambiguating Visual Motion Through Contextual Feedback Modulation.
Neural Computation 16(10): 2041-2066 (2004) |
2003 |
3 | EE | Frank Seifart,
Pierre Bayerl,
Heiko Neumann:
A neural model for heading detection from optic flow.
ESANN 2003: 319-324 |
2 | EE | A. Zehender,
Pierre Bayerl,
Heiko Neumann:
A view-based approach for object recognition from image sequences.
ESANN 2003: 457-462 |
2002 |
1 | EE | 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 |