Pierre Bayerl

21 papers B 2Journal 6Unranked 12
YearRankTypeTitle / Venue / Authors
2007 J jnl
A Fast Biologically Inspired Algorithm for Recurrent Motion Estimation.
IEEE Trans. Pattern Anal. Mach. Intell.
Pierre Bayerl, Heiko Neumann
2007 J jnl
A neural model of feature attention in motion perception.
Biosyst.
Pierre Bayerl, Heiko Neumann
2007 J jnl
Disambiguating Visual Motion by Form-Motion Interaction - a Computational Model.
Int. J. Comput. Vis.
Pierre Bayerl, Heiko Neumann
2007 J jnl
Iterated tensor voting and curvature improvement.
Signal Process.
Sylvain Fischer, Pierre Bayerl, Heiko Neumann, Rafael Redondo, Gabriel Cristóbal
2007 — conf
Neural Mechanisms for Mid-Level Optical Flow Pattern Detection.
ICANN (2)
Stefan Ringbauer, Pierre Bayerl, Heiko Neumann
2006 — conf
Detection of Head Pose and Gaze Direction for Human-Computer Interaction.
PIT
Ulrich Weidenbacher, Georg Layher, Pierre Bayerl, Heiko Neumann
2006 — conf
Multi-level Face Tracking for Estimating Human Head Orientation in Video Sequences.
PIT
Tobias Bausch, Pierre Bayerl, Heiko Neumann
2006 — conf
Optic Flow Integration at Multiple Spatial Frequencies - Neural Mechanism and Algorithm.
ISVC (1)
Cornelia Beck, Pierre Bayerl, Heiko Neumann
2006 J jnl
Sketching shiny surfaces: 3D shape extraction and depiction of specular surfaces.
ACM Trans. Appl. Percept.
Ulrich Weidenbacher, Pierre Bayerl, Heiko Neumann, Roland W. Fleming
2006 — conf
Visual Attention in Auditory Display.
PIT
Thorsten D. Mahler, Pierre Bayerl, Heiko Neumann, Michael Weber
2005 — —
A model of visual motion perception.
Pierre Bayerl
2005 — conf
Extracting and depicting the 3D shape of specular surfaces.
APGV
Ulrich Weidenbacher, Pierre Bayerl, Roland W. Fleming, Heiko Neumann
2005 — conf
Segmentation of Independently Moving Objects Using a Maximum-Likelihood Principle.
AMS
Martin Clauss, Pierre Bayerl, Heiko Neumann
2004 — conf
A Model of Motion, Stereo, and Monocular Depth Perception.
DAGM-Symposium
Pierre Bayerl, Heiko Neumann
2004 — conf
A Statistical Measure for Evaluating Regions-of-Interest Based Attention Algorithms.
DAGM-Symposium
Martin Clauss, Pierre Bayerl, Heiko Neumann
2004 — conf
Are Iterations and Curvature Useful for Tensor Voting?
ECCV (3)
Sylvain Fischer, Pierre Bayerl, Heiko Neumann, Gabriel Cristóbal, Rafael Redondo
2004 J jnl
Disambiguating Visual Motion Through Contextual Feedback Modulation.
Neural Comput.
Pierre Bayerl, Heiko Neumann
2004 — conf
Neural Architecture for Temporal Emotion Classification.
ADS
Roland Schweiger, Pierre Bayerl, Heiko Neumann
2003 B conf
A neural model for heading detection from optic flow.
ESANN
Frank Seifart, Pierre Bayerl, Heiko Neumann
2003 B conf
A view-based approach for object recognition from image sequences.
ESANN
A. Zehender, Pierre Bayerl, Heiko Neumann
2002 — conf
Neural Mechanisms of Visual Flow Integration and Segregation - Insights from the Pinna-Brelstaff Illusion and Variations of It.
Biologically Motivated Computer Vision
Pierre Bayerl, Heiko Neumann