Martin A. Giese
Orcid: 0000-0003-1178-2768Affiliations:
- University Clinic Tübingen, Department of Cognitive Neurology
According to our database1,
Martin A. Giese
authored at least 85 papers
between 1994 and 2024.
Collaborative distances:
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Bibliography
2024
Generating Realistic Arm Movements in Reinforcement Learning: A Quantitative Comparison of Reward Terms and Task Requirements.
CoRR, 2024
2023
NeuroImage, April, 2023
Multi-Domain Norm-referenced Encoding Enables Data Efficient Transfer Learning of Facial Expression Recognition.
CoRR, 2023
2022
Frontiers Comput. Neurosci., 2022
CoRR, 2022
Multimodal Sensor-Based Identification of Stress and Compulsive Actions in Children with Obsessive-Compulsive Disorder for Telemedical Treatment.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses.
Proceedings of the International Joint Conference on Neural Networks, 2021
Hierarchical Deep Gaussian Processes Latent Variable Model via Expectation Propagation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
2020
Reactive Hand Movements from Arm Kinematics and EMG Signals Based on Hierarchical Gaussian Process Dynamical Models.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
Detecting and Quantifying Ataxia-Related Motor Impairments in Rodents Using Markerless Motion Tracking With Deep Neural Networks.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Compliant Humanoids Moving Toward Rehabilitation Applications: Transparent Integration of Real-Time Control, Whole-Body Motion Generation, and Virtual Reality.
IEEE Robotics Autom. Mag., 2019
Proceedings of the International Conference on Robotics and Automation, 2019
2018
Real-time Control of Whole-body Robot Motion and Trajectory Generation for Physiotherapeutic Juggling in VR.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
2017
Modeling of Coordinated Human Body Motion by Learning of Structured Dynamic Representations.
Proceedings of the Geometric and Numerical Foundations of Movements, 2017
Adaptive synthesis of dynamically feasible full-body movements for the humanoid robot HRP-2 by flexible combination of learned dynamic movement primitives.
Robotics Auton. Syst., 2017
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
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
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016
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
NeuroImage, 2015
Modeling of Predictive Human Movement Coordination Patterns for Applications in Computer Graphics.
J. WSCG, 2015
Editorial: Modularity in motor control: from muscle synergies to cognitive action representation.
Frontiers Comput. Neurosci., 2015
2014
Top. Cogn. Sci., 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
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014
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
Frontiers Comput. Neurosci., 2013
Frontiers Comput. Neurosci., 2013
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
ACM Trans. Appl. Percept., 2011
J. WSCG, 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
Proceedings of the KI 2011: Advances in Artificial Intelligence, 2011
Proceedings of the KI 2011: Advances in Artificial Intelligence, 2011
Proceedings of the 4th International Conference on Imaging for Crime Detection and Prevention, 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
Proceedings of the Sixth Workshop on Virtual Reality Interactions and Physical Simulations, 2009
Proceedings of the 9th IEEE-RAS International Conference on Humanoid Robots, 2009
Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009
2008
Selforganization of character behavior by mixing of learned movement primitives.
Proceedings of the 13th International Fall Workshop on Vision, Modeling, and Visualization, 2008
Proceedings of the Artificial Neural Networks, 2008
Proceedings of the Statistical and Geometrical Approaches to Visual Motion Analysis, 2008
Proceedings of the 5th Symposium on Applied Perception in Graphics and Visualization, 2008
2007
Neurocomputing, 2007
Learning of Translation-Invariant Independent Components: Multivariate Anechoic Mixtures.
Proceedings of the Independent Component Analysis and Signal Separation, 2007
2006
Proceedings of the Perception and Interactive Technologies, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the 3rd Symposium on Applied Perception in Graphics and Visualization, 2006
2005
Neurocomputing, 2005
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.
Int. J. Humanoid Robotics, 2004
2003
Neurocomputing, 2003
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
Neural Comput., 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
Proceedings of the Biologically Motivated Computer Vision Second International Workshop, 2002
2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
2000
Int. J. Comput. Vis., 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.
Biol. Cybern., 1996
Population Coding in Cat Visual Cortex Reveals Nonlinear Interactions as Predicted by a Neural Field Model.
Proceedings of the Artificial Neural Networks, 1996
Proceedings of the Artificial Neural Networks, 1996
1995
Proceedings of the Neural Networks: Artificial Intelligence and Industrial Applications, 1995
1994
Frequency dependence of the action-perception cycle for postural control in a moving visual environment: relative phase dynamics.
Biol. Cybern., 1994