Martin A. Giese

Martin A. Giese, Winfried Ilg, Jana Lang, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Editorial: Modularity in motor control: from muscle synergies to cognitive action representation

Martin A. Giese, Thomas Schack, Andrea d'Avella, 2015, Front. Comput. Neurosci..

Towards Practical Reflection for Formal Mathematics

Martin A. Giese, Bruno Buchberger, 2007 .

Neural model for the recognition of agency and interaction from motion

Martin A. Giese, Mohammad Hovaidi Adestani, Nitin Saini, 2018 .

Exploring Human Dynamic Facial Expression Recognition with Animation

Martin A. Giese, Heinrich H. Bülthoff, Martin Breidt, 2008 .

Trajectory synthesis by hierarchical spatio-temporal correspondence: comparison of different methods

Martin A. Giese, Winfried Ilg, Johannes Mezger, 2005, APGV '05.

Neural Correlates of Learning in Biological Motion Recognition

Martin A. Giese, Jan Jastorff, Zoe Kourtzi, 2004 .

Learning of Articial Biological Motion: A Comparison Between Natural and Synthetic Trajectories

Martin A. Giese, Jan Jastorff, Zoe Kourtzi, 2003 .

Brain activity correlates with emotional perception induced by dynamic avatars

Martin A. Giese, Rafael Malach, Tamar Flash, 2015, NeuroImage.

Towards Practical Reflection for Formal Mathematics extended abstract

Martin A. Giese, Bruno Buchberger, 2007 .

Neurodynamical Model for the Coupling of Action Perception and Execution

Martin A. Giese, Vittorio Caggiano, Mohammad Hovaidi-Ardestani, 2017, ICANN.

Neural model for the recognition of biological motion

Martin A. Giese, M. Giese, 2010 .

4. Computational Mechanisms of the Visual Processing of Action Stimuli

Martin A. Giese, Falk Fleischer, M. Giese, 2011 .

25th Annual Computational Neuroscience Meeting: CNS-2016

Morten L. Kringelbach, Majid Nili Ahmadabadi, Anders M. Dale, 2016, BMC Neuroscience.

Coupling Gaussian Process Dynamical Models with Product-of-Experts Kernels

Martin A. Giese, Dominik Endres, Dmytro Velychko, 2014, ICANN.

Effects of aging on discriminating emotions from point-light walkers

Martin A. Giese, Karin S. Pilz, Allison B. Sekuler, 2010 .

Qualitatively correct bintrees: an efficient representation of qualitative spatial information

Martin A. Giese, Leif Harald Karlsen, 2019, GeoInformatica.

Computational Principles for the Recognition of Biological Movements: Model-Based Versus Feature-Based Approaches

Martin A. Giese, Maggie Shiffrar, Ian M. Thornton, 2005 .

Qualitatively Correct Bintrees With Roles

Martin A. Giese, Leif Harald Karlsen, M. Giese, 2017 .

Learning mid-level motion features for the recognition of body movements

Martin A. Giese, R Sigala, Thomas Serre, 2010 .

Time-dependent hebbian rules for the learning of templates for visual motion recognition

Martin A. Giese, Jan Jastorff, 2004 .

Real-Time Synthesis of Body Movements Based on Learned Primitives

Albert Mukovskiy, Lars Omlor, Martin A. Giese, 2009, Statistical and Geometrical Approaches to Visual Motion Analysis.

Physiologically-Inspired neural model for the processing of dynamic facial expressions

Martin A. Giese, Dominik Endres, G Ravishankar, 2013 .

Facilitation of biological-motion detection by motor execution does not depend on attributed body side

Martin A. Giese, Winfried Ilg, Hans-Otto Karnath, 2010 .

Exact solution of the nonlinear dynamics of recurrent neural mechanisms for direction selectivity

Martin A. Giese, Xiaohui Xie, 2002, Neurocomputing.

Rapid Serial Action Presentation: New paradigm for the study of movement recognition

Martin A. Giese, Thomas Serre, 2007 .

The influence of dynamic and static adaptors on the magnitude of high-level aftereffects for dynamic facial expression

Martin A. Giese, S de la Rosa, Cristóbal Curio, 2011 .

Basic principles of the dynamic approach to behavior

Martin A. Giese, 1999 .

Recognition of Dynamic Facial Action Probed by Visual Adaptation

Martin A. Giese, Heinrich H. Bülthoff, Martin Breidt, 2010 .

Modeling of Coordinated Human Body Motion by Learning of Structured Dynamic Representations

Olivier Stasse, Albert Mukovskiy, Martin A. Giese, 2017, Geometric and Numerical Foundations of Movements.

Biologically Plausible Neural Circuits for Realization of Maximum Operations

Martin A. Giese, Tomaso Poggio, Angela J. Yu, 2001 .

Physiologically plausible model for the prototype-referenced encoding of faces

David A. Leopold, Martin A. Giese, R Sigala, 2004 .

Understanding the Semantic Structure of Human fMRI Brain Recordings with Formal Concept Analysis

Martin A. Giese, Uta Noppeney, Dominik Endres, 2012, ICFCA.

Adaptive Modular Architectures for Rich Motor Skills ICT-248311 D 1 . 2

Martin A. Giese, Andrea d'Avella, Tamar Flash, 2011 .

Biophysically plausible neural model for the interaction between visual and motor representations of action

Martin A. Giese, Mohammad Hovaidi Ardestani, 2017 .

Physiologically inspired neural model for the prototype-referenced encoding of faces

David A. Leopold, Martin A. Giese, Christian Wallraven, 2004 .

Neurophysiologically inspired adaptive model for the encoding of face spaces

David A. Leopold, Martin A. Giese, Christian Wallraven, 2004 .

Spatio-temporal caricature effects for facial motion

Martin A. Giese, Heinrich H. Bülthoff, B Knappmeyer, 2010 .

Bio-inspired Approach for the Recognition of Goal-Directed Hand Actions

Martin A. Giese, Antonino Casile, Falk Fleischer, 2009, CAIP.

Pattern recognition : 26th DAGM Symposium, Tübingen, Germany, August 30 - Sepember 1, 2004 : proceedings

Bernhard Schölkopf, Martin A. Giese, Heinrich H. Bülthoff, 2004 .

Automated Reasoning with Analytic Tableaux and Related Methods, 18th International Conference, TABLEAUX 2009, Oslo, Norway, July 6-10, 2009. Proceedings

Martin A. Giese, Arild Waaler, 2009, TABLEAUX.

Dynamic Faces: Insights from Experiments and Computation

Martin A. Giese, Cristbal Curio, Heinrich H. Blthoff, 2010 .

Model selection for the extraction of movement primitives

Martin A. Giese, Dominik Endres, Enrico Chiovetto, 2013, Front. Comput. Neurosci..

Elements for a Neural Theory of the Processing of Dynamic Faces

Martin A. Giese, Thomas Serre, M. Giese, 2010 .

Adaptation of walking ground reaction forces to changes in ground stiffness properties

Abderrahmane Kheddar, Martin A. Giese, Adrien Pajon, 2016, 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob).

Prototypes of Biological Movements in Brains and Machines

Martin A. Giese, 2002, Biologically Motivated Computer Vision.

Physiologially Plausible Neuronal Model for Prototype-Referenced Encoding of Faces

David A. Leopold, Martin A. Giese, Christian Wallraven, 2004 .

Blind source separation for over-determined delayed mixtures

Lars Omlor, Martin A. Giese, M. Giese, 2006, NIPS.

Rigid Foot Soles Improve Balance in Beam Walking

Martin A. Giese, Meghan E. Huber, Dagmar Sternad, 2019, bioRxiv.

Connecting Brain and Mind with Formal Concept Analysis: a Data-Driven Investigation of the Semantic, Explicit Coding Hypothesis

Martin A. Giese, Uta Noppeney, Dominik Endres, 2013 .

Generating velocity tuning by asymmetric recurrent connections

Martin A. Giese, Xiaohui Xie, 2001, NIPS.

Shaking Hands in Latent Space - Modeling Emotional Interactions with Gaussian Process Latent Variable Models

Martin A. Giese, Dominik Endres, Nick Taubert, 2011, KI.

A First-order Simplification Rule with Constraints

Martin A. Giese, M. Giese, 2007 .

Dynamic neural field model for motion perception

Martin A. Giese, 1999 .

Role of learning in biological motion recognition

Martin A. Giese, Jan Jastorff, Zoe Kourtzi, 2010 .

Formation of pinwheels of preferred orientation by learning sparse neural representations of natural images

Martin A. Giese, Werner von Seelen, A. Moukovski, 2002, Neurocomputing.

Motor expertise facilitates the precision of state extrapolation in perception

Martin A. Giese, Winfried Ilg, Nicolas Ludolph, 2017, bioRxiv.

Shading cues in the perception of biological motion: a neural model and a new illusion

Martin A. Giese, Leonid Fedorov, 2015 .

Handbook of Robotics Chapter 64: Perceptual Robotics: Example-based representations of shapes and movements

Martin A. Giese, Heinrich H. Bülthoff, Christian Wallraven, 2008 .

Quick work but variable quality

Martin A. Giese, M. Giese, 1999, Nature.

Combining View-based and Model-based Tracking: Learning-based Monocular Computer Vision System for the Recognition of Articulated Human Movements

Martin A. Giese, Cristóbal Curio, 2003 .

Learning of biological motion: Combining fMRI and theoretical modeling

Martin A. Giese, Jan Jastorff, Zoe Kourtzi, 2005 .

Optimal bayesian integration of components during the visual recognition of emotional body expressions

Lars Omlor, Martin A. Giese, Claire L. Roether, 2010 .

Technical applications of neural fields

Martin A. Giese, 1999 .

A neuro-computational approach to identity-independent encoding of facial expressions

Martin A. Giese, Dominik Endres, S Safavi, 2013 .

Gates for Handling Occlusion in Bayesian Models of Images: An Initial Study

Marina Kolesnik, Martin A. Giese, Dominik Endres, 2011, KI.

Semantic 3D motion retargeting for facial animation

Martin A. Giese, Heinrich H. Bülthoff, Martin Breidt, 2006, APGV '06.

Extraction of spatio-temporal primitives of emotional body expressions

Lars Omlor, Martin A. Giese, M. Giese, 2006, Neurocomputing.

Using Semantic Technology to Auto-generate Reports: Case Study of Daily Drilling Reports

Martin A. Giese, Arild Waaler, Jens Ingvald Ornas, 2012 .

Perception of biological motion depends on lighting-from-above prior

Martin A. Giese, Leonid Fedorov, Joris Vangeneugden, 2014 .

Analysis and Design of the Dynamical Stability of Collective Behavior in Crowds

Albert Mukovskiy, Martin A. Giese, Jean-Jacques E. Slotine, 2011, J. WSCG.

Integrating object oriented design and formal verification

Martin A. Giese, Bernhard Beckert, Peter H. Schmitt, 2005 .

Phenomenological Model for the Adapatation of Shape-Selective Neurons in Area IT

Martin A. Giese, Rufin Vogels, Pradeep Kuravi, 2016, ICANN.

Motor Interference Effects in Real-Time Simulation

Martin A. Giese, Anne Springer, Roman Liepelt, 2010 .

Population Coding in Cat Visual Cortex Reveals Nonlinear Interactions as Predicted by a Neural Field Model

Martin A. Giese, Gregor Schöner, Wolfram Erlhagen, 1996, ICANN.

Physiologically-Inspired Neural Circuits for the Recognition of Dynamic Faces

Martin A. Giese, Peter Thier, Nick Taubert, 2020, ICANN.

Modeling of Movement Sequences Based on Hierarchical Spatial-Temporal Correspondence of Movement Primitives

Martin A. Giese, Winfried Ilg, 2002, Biologically Motivated Computer Vision.

Probing dynamic human facial action recognition from the other side of the mean

Martin A. Giese, Heinrich H. Bülthoff, Martin Breidt, 2008, APGV '08.

A logic-based approach to decision making : (extended version)

Martin A. Giese, Magdalena Ivanovska, M. Giese, 2011 .

Dynamic neural fields

Martin A. Giese, M. Giese, 1999 .

How your actions are coupled with mine: Adaptation aftereffects indicate shared representation of complementary actions

Martin A. Giese, Heinrich H. Bülthoff, S de la Rosa, 2016 .

Neural Model for the Visual Recognition of Goal-Directed Movements

Martin A. Giese, Antonino Casile, Falk Fleischer, 2008, ICANN.

Metric category spaces of biological motion

Martin A. Giese, Shimon Edelman, Ian M. Thornton, 2010 .

Roles of Motion and Form in Biological Motion Recognition

Martin A. Giese, Antonino Casile, 2003, ICANN.

Perceptual Robotics

Martin A. Giese, Heinrich H. Bülthoff, Christian Wallraven, 2008, Springer Handbook of Robotics, 2nd Ed..

Neural field model for the motor planning of eye movements

Martin A. Giese, 1999 .

Neural model for the visual recognition of hand actions

Martin A. Giese, Antonino Casile, Falk Fleischer, 2010 .

Neural Field Dynamics for Motion Perception

Martin A. Giese, Gregor Schöner, Howard S. Hock, 1996, ICANN.

Perceptual Robotics

Martin A. Giese, Heinrich H. Bülthoff, Christian Wallraven, 2008, Springer Handbook of Robotics, 2nd Ed..

Features in the Recognition of Emotions from Dynamic Bodily Expression

Lars Omlor, Martin A. Giese, Claire L. Roether, 2009 .

High level influences on visual action recognition

Martin A. Giese, Heinrich H. Bülthoff, Cristóbal Curio, 2013, Annual Meeting of the Cognitive Science Society.

Perceptual relevance of kinematic components of facial movements extracted by unsupervised learning

Martin A. Giese, Cristóbal Curio, Enrico Chiovetto, 2012 .

Improved Kinect sensor based motion capturing system for gait assessment

Martin A. Giese, Winfried Ilg, Björn Müller, 2017 .

Design of Dynamical Stability Properties in Character Animation

Albert Mukovskiy, Martin A. Giese, Jean-Jacques E. Slotine, 2009, VRIPHYS.

Rule-Based Simplification of OCL Constraints

Martin A. Giese, Reiner Hähnle, Daniel Larsson, 2004 .

Learning of natural and synthetic biological motion

Martin A. Giese, Jan Jastorff, Zoe Kourtzi, 2003 .

Learning Representations for Animated Motion Sequence and Implied Motion Recognition

Martin A. Giese, Heiko Neumann, Georg Layher, 2012, ICANN.

A model for multi-stable dynamics in action recognition modulated by integration of silhouette and shading cues

Martin A. Giese, Leonid Fedorov, 2016 .

Skeleton Model for the Neurodynamics of Visual Action Representations

Martin A. Giese, M. Giese, 2014, ICANN.

Shape-invariant perceptual encoding of dynamic facial expressions across species

Martin A. Giese, M. Stettler, N. Taubert, 2020, bioRxiv.

Quantification of Spatio-Temporal Characteristics of Walking Trajectories of Cerebellat Patients

Martin A. Giese, Winfried Ilg, Peter Thier, 2004 .

Dynamically stable control of articulated crowds

Albert Mukovskiy, Martin A. Giese, Jean-Jacques E. Slotine, 2012, J. Comput. Sci..

fMRI adaptation dissociates multiple areas involved in biological motion recognition

Martin A. Giese, Zoe Kourtzi, Jan Jastorff, 2004 .

Spatio-temporal Caricatures of Facial Motion

Martin A. Giese, Heinrich H. Bülthoff, Winfried Ilg, 2003 .

Temporal Synchrony as Critical Factor for Faciliation and Interference of Action Recognition

Martin A. Giese, Winfried Ilg, Hans-Otto Karnath, 2009 .

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

Martin A. Giese, Ann-Christine Ehlis, Andreas J. Fallgatter, 2014, NeuroImage.

Morphable Models for the Analysis and Synthesis of Complex Motion Patterns

Martin A. Giese, Tomaso A. Poggio, T. Poggio, 2000, International Journal of Computer Vision.

Design of the dynamic stability properties of the collective behavior of articulated bipeds

Albert Mukovskiy, Martin A. Giese, Jean-Jacques E. Slotine, 2010, 2010 10th IEEE-RAS International Conference on Humanoid Robots.

Probabilistic Modeling for Decision Support in Integrated Operations

Martin A. Giese, Reidar Brumer Bratvold, 2010 .

A neural model for biological movement recognition: a neurophysiologically plausible theory

Martin A. Giese, M. Giese, 2004 .

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

Martin A. Giese, M. Giese, 1998 .

Recurrent Linear Threshold Network integrates Sequence Selectivity and Multiplicative Gain Modulation

Martin A. Giese, C Chandramouli, 2005 .

Anechoic Blind Source Separation Using Wigner Marginals

Lars Omlor, Martin A. Giese, M. Giese, 2011, J. Mach. Learn. Res..

Neural model of the visual recognition of social intent

Martin A. Giese, Mohammad Hovaidi-Ardestani, Nitin Saini, 2019 .

Joint torque analysis of push recovery motions during human walking

Martin A. Giese, Katja D. Mombaur, Martin L. Felis, 2016, 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob).

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

Martin A. Giese, Gregor Schöner, Tjeerd Dijkstra, 1994, Biological Cybernetics.

Segmenting sign language into motor primitives with Bayesian binning

Martin A. Giese, Dominik Endres, Tamar Flash, 2013, Front. Comput. Neurosci..

A virtual reality setup for controllable, stylized real-time interactions between humans and avatars with sparse Gaussian process dynamical models

Martin A. Giese, Dominik Endres, Nicolas Ludolph, 2013, SAP.

A Framework for Constructing Correct Qualitative Representations of Geometries using Mereology over Bintrees

Martin A. Giese, Leif Harald Karlsen, 2015, LQMR@FedCSIS.

Recognition of artificial complex biological motion generated by motion morphing

Martin A. Giese, Jan Jastorff, Zoe Kourtzi, 2002 .

Learning Representations of Animated Motion Sequences - A Neural Model

Martin A. Giese, Heiko Neumann, Georg Layher, 2014, Top. Cogn. Sci..

Neural Model for the Visual Recognition of Animacy and Social Interaction

Martin A. Giese, Aleix M. Martínez, Mohammad Hovaidi-Ardestani, 2018, ICANN.

Emulating human observers with bayesian binning: Segmentation of action streams

Lars Omlor, Martin A. Giese, Dominik Endres, 2011, TAP.

Interacting Learning Processes during Skill Acquisition: Learning to control with gradually changing system dynamics

Martin A. Giese, Winfried Ilg, Nicolas Ludolph, 2017, bioRxiv.

A Representation of Complex Movement Sequences Based on Hierarchical Spatio-Temporal Correspondence for Imitation Learning in Robotics

Gökhan BakIr, Martin A. Giese, Heinrich H. Bülthoff, 2003 .

Pattern Recognition

Bernhard Schölkopf, Martin A. Giese, Heinrich H. Bülthoff, 2004, Lecture Notes in Computer Science.

Learning of artificial biological motion patterns

Martin A. Giese, Jan Jastorff, Zoe Kourtzi, 2002 .

An integrated model for the shading and silhouette cues in the perception of biological motion.

Martin A. Giese, Leonid Fedorov, 2016 .

Influence of spatial and temporal congruency between executed and observed movements on the recognition of biological motion

Martin A. Giese, Winfried Ilg, Hans-Otto Karnath, 2010 .

On the Representation, Learning and Transfer of Spatio-Temporal Movement Characteristics

Martin A. Giese, Winfried Ilg, Gökhan H. Bakir, 2003, Int. J. Humanoid Robotics.

Identification of neural field models based on neurophysiological data

Martin A. Giese, 1999 .

Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data

Martin A. Giese, Alessandro Salatiello, 2020, ICANN.

Online simulation of emotional interactive behaviors with hierarchical Gaussian process dynamical models

Martin A. Giese, Dominik Endres, Nick Taubert, 2012, SAP '12.

Bayesian Approaches for Learning of Primitive-Based Compact Representations of Complex Human Activities

Martin A. Giese, Dominik Endres, Enrico Chiovetto, 2014, Dance Notations and Robot Motion.

Neural theories for the recognition of dynamic faces in monkey cortex

Martin A. Giese, Uwe J. Ilg, Girija Ravishankar, 2012 .

Modularity in motor control: from muscle synergies to cognitive action representation

Martin A. Giese, Andrea d'Avella, Tamar Flash, 2016 .

Learning of Translation-Invariant Independent Components: Multivariate Anechoic Mixtures

Lars Omlor, Martin A. Giese, 2007, ICA.

Neural model for the learning of biological motion

Martin A. Giese, Jan Jastorff, 2002 .

Hierarchical Spatio-Temporal Morphable Models for Representation of complex movements for Imitation Learning

Gökhan BakIr, Martin A. Giese, Winfried Ilg, 2003 .

Biophysiologically Plausible Implementations of the Maximum Operation

Martin A. Giese, Tomaso A. Poggio, Angela J. Yu, 2002, Neural Computation.

Unsupervised Learning of Spatio-temporal Primitives of Emotional Gait

Lars Omlor, Martin A. Giese, M. Giese, 2006, PIT.

Predicting point-light actions

Martin A. Giese, Antonino Casile, Wolfgang Prinz, 2005 .

Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification

Martin A. Giese, Winfried Ilg, Sebastian Otte, 2021, ICANN.

Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses

Martin A. Giese, Alessandro Salatiello, M. Giese, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Hierarchical Deep Gaussian Processes Latent Variable Model via Expectation Propagation

Martin A. Giese, Nick Taubert, 2021, ICANN.

A Dynamical Generative Model of Social Interactions

Martin A. Giese, Mohammad Hovaidi-Ardestani, Alessandro Salatiello, 2021, Frontiers in Neurorobotics.

Kinematics of the Coordination of Pointing during Locomotion

Martin A. Giese, Enrico Chiovetto, M. Giese, 2013, PloS one.

Biological and body motion perception

Martin A. Giese, M. Giese, 2015 .

Evidence for multi-functional interactions in early visual motion processing

Martin A. Giese, M. Giese, 1999, Trends in Neurosciences.

Lateral asymmetry of bodily emotion expression

Lars Omlor, Martin A. Giese, Claire L. Roether, 2008, Current Biology.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Minoru Asada, Anders M. Dale, Anna Devor, 2017, BMC Neuroscience.

Active Sampling supported Comparison of Causal Inference Models for Agency Attribution in Goal-Directed Actions

Martin A. Giese, Dominik Endres, Axel Lindner, 2014 .

Synthesis of Character Behaviour by Dynamic Interaction of Synergies Learned from Motion Capture Data

Aee-Ni Park, Albert Mukovskiy, Lars Omlor, 2008 .

Video game–based coordinative training improves ataxia in children with degenerative ataxia

Martin A. Giese, Winfried Ilg, Matthis Synofzik, 2012, Neurology.

Prejudiced interactions: implicit racial bias reduces predictive simulation during joint action with an out-group avatar

Martin A. Giese, Salvatore Maria Aglioti, Matteo Candidi, 2015, Scientific Reports.

Assessment of human-likeness and naturalness of interceptive arm reaching movement accomplished by a humanoid robot

Felix Reinhart, Albert Mukovskiy, Martin A. Giese, 2014 .

Possible influences of motor learning on perception of biological motion

Martin A. Giese, Antonino Casile, 2004 .