Martin A. Giese

According to our database1, Martin A. Giese authored at least 65 papers between 1994 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2019
Human-inspired balance model to account for foot-beam interaction mechanics.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Neural Model for the Visual Recognition of Animacy and Social Interaction.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
Adaptive synthesis of dynamically feasible full-body movements for the humanoid robot HRP-2 by flexible combination of learned dynamic movement primitives.
Robotics and Autonomous Systems, 2017

Neurodynamical Model for the Coupling of Action Perception and Execution.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016
Perceptual Robotics.
Proceedings of the Springer Handbook of Robotics, 2016

Neural Model for the Influence of Shading on the Multistability of the Perception of Body Motion.
Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016

Phenomenological Model for the Adapatation of Shape-Selective Neurons in Area IT.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Joint torque analysis of push recovery motions during human walking.
Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016

Adaptation of walking ground reaction forces to changes in ground stiffness properties.
Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016

2015
Brain activity correlates with emotional perception induced by dynamic avatars.
NeuroImage, 2015

Editorial: Modularity in motor control: from muscle synergies to cognitive action representation.
Front. Comput. Neurosci., 2015

2014
Show me how you walk and I tell you how you feel - A functional near-infrared spectroscopy study on emotion perception based on human gait.
NeuroImage, 2014

Coupling Gaussian Process Dynamical Models with Product-of-Experts Kernels.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Skeleton Model for the Neurodynamics of Visual Action Representations.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Bayesian Approaches for Learning of Primitive-Based Compact Representations of Complex Human Activities.
Proceedings of the Dance Notations and Robot Motion, 2014

2013
Dynamically stable control of articulated crowds.
J. Comput. Science, 2013

Segmenting sign language into motor primitives with Bayesian binning.
Front. Comput. Neurosci., 2013

Model selection for the extraction of movement primitives.
Front. Comput. Neurosci., 2013

High level influences on visual action recognition.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Learning Representations of Animated Motion Sequences - A Neural Model.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

A virtual reality setup for controllable, stylized real-time interactions between humans and avatars with sparse Gaussian process dynamical models.
Proceedings of the ACM Symposium on Applied Perception 2013, 2013

2012
Understanding the Semantic Structure of Human fMRI Brain Recordings with Formal Concept Analysis.
Proceedings of the Formal Concept Analysis - 10th International Conference, 2012

Learning Representations for Animated Motion Sequence and Implied Motion Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Online simulation of emotional interactive behaviors with hierarchical Gaussian process dynamical models.
Proceedings of the ACM Symposium on Applied Perception 2012, 2012

2011
Emulating human observers with bayesian binning: Segmentation of action streams.
TAP, 2011

Analysis and Design of the Dynamical Stability of Collective Behavior in Crowds.
Journal of WSCG, 2011

Anechoic Blind Source Separation Using Wigner Marginals.
J. Mach. Learn. Res., 2011

Shaking Hands in Latent Space - Modeling Emotional Interactions with Gaussian Process Latent Variable Models.
Proceedings of the KI 2011: Advances in Artificial Intelligence, 2011

Gates for Handling Occlusion in Bayesian Models of Images: An Initial Study.
Proceedings of the KI 2011: Advances in Artificial Intelligence, 2011

Segmentation of Action Streams Human Observers vs. Bayesian Binning.
Proceedings of the KI 2011: Advances in Artificial Intelligence, 2011

2010
Design of the dynamic stability properties of the collective behavior of articulated bipeds.
Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, 2010

2009
Design of Dynamical Stability Properties in Character Animation.
Proceedings of the Sixth Workshop on Virtual Reality Interactions and Physical Simulations, 2009

View-independent recognition of grasping actions with a cortex-inspired model.
Proceedings of the 9th IEEE-RAS International Conference on Humanoid Robots, 2009

Bio-inspired Approach for the Recognition of Goal-Directed Hand Actions.
Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

2008
Perceptual Robotics.
Proceedings of the Springer Handbook of Robotics, 2008

Selforganization of character behavior by mixing of learned movement primitives.
Proceedings of the Vision, Modeling, and Visualization Conference 2008, 2008

Neural Model for the Visual Recognition of Goal-Directed Movements.
Proceedings of the Artificial Neural Networks, 2008

Real-Time Synthesis of Body Movements Based on Learned Primitives.
Proceedings of the Statistical and Geometrical Approaches to Visual Motion Analysis, 2008

Probing dynamic human facial action recognition from the other side of the mean.
Proceedings of the 5th Symposium on Applied Perception in Graphics and Visualization, 2008

2007
Extraction of spatio-temporal primitives of emotional body expressions.
Neurocomputing, 2007

Learning of Translation-Invariant Independent Components: Multivariate Anechoic Mixtures.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006
Unsupervised Learning of Spatio-temporal Primitives of Emotional Gait.
Proceedings of the Perception and Interactive Technologies, 2006

Blind source separation for over-determined delayed mixtures.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Semantic 3D motion retargeting for facial animation.
Proceedings of the 3rd Symposium on Applied Perception in Graphics and Visualization, 2006

2005
Physiologically inspired neural model for the encoding of face spaces.
Neurocomputing, 2005

Combining View-Based and Model-Based Tracking of Articulated Human Movements.
Proceedings of the 7th IEEE Workshop on Applications of Computer Vision / IEEE Workshop on Motion and Video Computing (WACV/MOTION 2005), 2005

Learning Features of Intermediate Complexity for the Recognition of Biological Motion.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Trajectory synthesis by hierarchical spatio-temporal correspondence: comparison of different methods.
Proceedings of the 2nd Symposium on Applied Perception in Graphics and Visualization, 2005

2004
On the Representation, Learning and Transfer of Spatio-Temporal Movement Characteristics.
I. J. Humanoid Robotics, 2004

2003
Learning recurrent neural models with minimal complexity from neural tuning data.
Neurocomputing, 2003

Roles of Motion and Form in Biological Motion Recognition.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Estimation of Skill Levels in Sports Based on Hierarchical Spatio-Temporal Correspondences.
Proceedings of the Pattern Recognition, 2003

2002
Biophysiologically Plausible Implementations of the Maximum Operation.
Neural Computation, 2002

Formation of pinwheels of preferred orientation by learning sparse neural representations of natural images.
Neurocomputing, 2002

Exact solution of the nonlinear dynamics of recurrent neural mechanisms for direction selectivity.
Neurocomputing, 2002

Modeling of Movement Sequences Based on Hierarchical Spatial-Temporal Correspondence of Movement Primitives.
Proceedings of the Biologically Motivated Computer Vision Second International Workshop, 2002

Automatic Synthesis of Sequences of Human Movements by Linear Combination of Learned Example Patterns.
Proceedings of the Biologically Motivated Computer Vision Second International Workshop, 2002

Prototypes of Biological Movements in Brains and Machines.
Proceedings of the Biologically Motivated Computer Vision Second International Workshop, 2002

2001
Generating velocity tuning by asymmetric recurrent connections.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000
Morphable Models for the Analysis and Synthesis of Complex Motion Patterns.
International Journal of Computer Vision, 2000

1998
A dynamical model for the perceptual organization of apparent motion = (Ein dynamisches Modell für die perzeptuelle Organisation von Scheinbewegung).
PhD thesis, 1998

1996
Identification of the nonlinear state-space dynamics of the action-perception cycle for visually induced postural sway.
Biological Cybernetics, 1996

Population Coding in Cat Visual Cortex Reveals Nonlinear Interactions as Predicted by a Neural Field Model.
Proceedings of the Artificial Neural Networks, 1996

Neural Field Dynamics for Motion Perception.
Proceedings of the Artificial Neural Networks, 1996

1994
Frequency dependence of the action-perception cycle for postural control in a moving visual environment: relative phase dynamics.
Biological Cybernetics, 1994


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