Christian Faubel

发表

Scenes and tracking with dynamic neural fields: How to update a robotic scene representation

Stephan K. U. Zibner, Christian Faubel, Ioannis Iossifidis, 2010, 2010 IEEE 9th International Conference on Development and Learning.

Dynamic Neural Fields as Building Blocks of a Cortex-Inspired Architecture for Robotic Scene Representation

Stephan K. U. Zibner, Christian Faubel, Ioannis Iossifidis, 2011, IEEE Transactions on Autonomous Mental Development.

A Neural-Dynamic Architecture for Concurrent Estimation of Object Pose and Identity

Christian Faubel, Gregor Schöner, Oliver Lomp, 2017, Front. Neurorobot..

Learning to recognize objects on the fly: A neurally based dynamic field approach

Christian Faubel, Gregor Schöner, G. Schöner, 2008, Neural Networks.

The Counter-Change Model of Motion Perception: An Account Based on Dynamic Field Theory

Christian Faubel, Gregor Schöner, Howard S. Hock, 2012, ICANN.

Crystal Forming robots on overhead

Christian Faubel, 2014 .

Anthropomorphism as a pervasive design concept for a robotic assistant

Christian Faubel, Ioannis Iossifidis, Gregor Schöner, 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

Rhythm Apparatus on Overhead

Christian Faubel, 2014, NIME.

Making a robotic scene representation accessible to feature and label queries

Stephan K. U. Zibner, Christian Faubel, Gregor Schöner, 2011, 2011 IEEE International Conference on Development and Learning (ICDL).

Learning objects on the fly - object recognition for the here and now

Christian Faubel, Gregor Schöner, G. Schöner, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Object recognition with dynamic neural fields

Christian Faubel, C. Faubel, 2009 .

Dynamic Scene Representations and Autonomous Robotics

Stephan K. U. Zibner, Christian Faubel, 2015 .

Embodied Neural Dynamics

Estela Bicho, Christian Faubel, Gregor Schöner, 2015 .

Grounding Word Learning in Space and Time

Larissa K. Samuelson, Christian Faubel, C. Faubel, 2015 .

A neuro-dynamic architecture for one shot learning of objects that uses both bottom-up recognition and top-down prediction

Christian Faubel, Gregor Schöner, 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Instance-Based Object Recognition with Simultaneous Pose Estimation Using Keypoint Maps and Neural Dynamics

Christian Faubel, Gregor Schöner, J. M. Hans du Buf, 2014, ICANN.

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Christian Faubel, Gregor Schöner, 2009 .

A neuro-dynamic object recognition architecture enhanced by foveal vision and a gaze control mechanism

Stephan K. U. Zibner, Christian Faubel, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Scene Representation for Anthropomorphic Robots: A Dynamic Neural Field Approach

Stephan K. U. Zibner, Christian Faubel, Ioannis Iossifidis, 2010, ISR/ROBOTIK.

Emergent Polyrhythmic Patterns with a Neuromorph Electronic Network

Christian Faubel, 2021 .

Fast learning to recognize objects : Dynamic Fields in label-feature spaces

Christian Faubel, 2006 .