Frequency dependence of the action-perception cycle for postural control in a moving visual environment: relative phase dynamics. - T. M. H. Dijkstra; Gregor Schöner; Martin A. Giese; C. C. A. M. Gielen (Biol. Cybern., 1994)

The Dynamics of the Perceptual Organization in Apparent Motion. - Martin A. Giese; Gregor Schöner; Howard S. Hock (SNN Symposium on Neural Networks, 1995)

Neural Field Dynamics for Motion Perception. - Martin A. Giese; Gregor Schöner; Howard S. Hock (ICANN, 1996)

Population Coding in Cat Visual Cortex Reveals Nonlinear Interactions as Predicted by a Neural Field Model. - Dirk Jancke; Amir C. Akhavan; Wolfram Erlhagen; Martin A. Giese; Axel Steinhage; Gregor Schöner; Hubert R. Dinse (ICANN, 1996)

Identification of the nonlinear state-space dynamics of the action-perception cycle for visually induced postural sway. - Martin A. Giese; T. M. H. Dijkstra; Gregor Schöner; C. C. A. M. Gielen (Biol. Cybern., 1996)

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

Morphable Models for the Analysis and Synthesis of Complex Motion Patterns. - Martin A. Giese; Tomaso A. Poggio (Int. J. Comput. Vis., 2000)

Generating velocity tuning by asymmetric recurrent connections. - Xiaohui Xie; Martin A. Giese (NIPS, 2001)

Prototypes of Biological Movements in Brains and Machines. - Martin A. Giese (Biologically Motivated Computer Vision, 2002)

Automatic Synthesis of Sequences of Human Movements by Linear Combination of Learned Example Patterns. - Martin A. Giese; Barbara Knappmeyer; Heinrich H. Bülthoff (Biologically Motivated Computer Vision, 2002)

Modeling of Movement Sequences Based on Hierarchical Spatial-Temporal Correspondence of Movement Primitives. - Winfried Ilg; Martin A. Giese (Biologically Motivated Computer Vision, 2002)

Exact solution of the nonlinear dynamics of recurrent neural mechanisms for direction selectivity. - Martin A. Giese; Xiaohui Xie (Neurocomputing, 2002)

Formation of pinwheels of preferred orientation by learning sparse neural representations of natural images. - A. Moukovski; D. M. Gorinevski; Martin A. Giese; Werner von Seelen (Neurocomputing, 2002)

Biophysiologically Plausible Implementations of the Maximum Operation. - Angela J. Yu; Martin A. Giese; Tomaso A. Poggio (Neural Comput., 2002)

Estimation of Skill Levels in Sports Based on Hierarchical Spatio-Temporal Correspondences. - Winfried Ilg; Johannes Mezger; Martin A. Giese (DAGM-Symposium, 2003)

Roles of Motion and Form in Biological Motion Recognition. - Antonino Casile; Martin A. Giese (ICANN, 2003)

Learning recurrent neural models with minimal complexity from neural tuning data. - Martin A. Giese (Neurocomputing, 2003)

On the Representation, Learning and Transfer of Spatio-Temporal Movement Characteristics. - Winfried Ilg; Gökhan H. Bakir; Johannes Mezger; Martin A. Giese (Int. J. Humanoid Robotics, 2004)

Trajectory synthesis by hierarchical spatio-temporal correspondence: comparison of different methods. - Johannes Mezger; Winfried Ilg; Martin A. Giese (APGV, 2005)

Learning Features of Intermediate Complexity for the Recognition of Biological Motion. - Rodrigo Sigala; Thomas Serre; Tomaso A. Poggio; Martin A. Giese (ICANN (1), 2005)

Combining View-Based and Model-Based Tracking of Articulated Human Movements. - Cristóbal Curio; Martin A. Giese (WACV/MOTION, 2005)

Physiologically inspired neural model for the encoding of face spaces. - Martin A. Giese; David A. Leopold (Neurocomputing, 2005)

Semantic 3D motion retargeting for facial animation. - Cristóbal Curio; Martin Breidt; Mario Kleiner; Quoc C. Vuong; Martin A. Giese; Heinrich H. Bülthoff (APGV, 2006)

Blind source separation for over-determined delayed mixtures. - Lars Omlor; Martin A. Giese (NIPS, 2006)

Unsupervised Learning of Spatio-temporal Primitives of Emotional Gait. - Lars Omlor; Martin A. Giese (PIT, 2006)

Learning of Translation-Invariant Independent Components: Multivariate Anechoic Mixtures. - Lars Omlor; Martin A. Giese (ICA, 2007)

Extraction of spatio-temporal primitives of emotional body expressions. - Lars Omlor; Martin A. Giese (Neurocomputing, 2007)

Probing dynamic human facial action recognition from the other side of the mean. - Cristóbal Curio; Martin A. Giese; Martin Breidt; Mario Kleiner; Heinrich H. Bülthoff (APGV, 2008)

Real-Time Synthesis of Body Movements Based on Learned Primitives. - Martin A. Giese; Albert Mukovskiy; Aee-Ni Park; Lars Omlor; Jean-Jacques E. Slotine (Statistical and Geometrical Approaches to Visual Motion Analysis, 2008)

Neural Model for the Visual Recognition of Goal-Directed Movements. - Falk Fleischer; Antonino Casile; Martin A. Giese (ICANN (2), 2008)

Selforganization of character behavior by mixing of learned movement primitives. - Albert Mukovskiy; Aee-ni Park; Lars Omlor; Jean-Jacques E. Slotine; Martin A. Giese (VMV, 2008)

Perceptual Robotics. - Heinrich H. Bülthoff; Christian Wallraven; Martin A. Giese (Springer Handbook of Robotics, 2008)

Bio-inspired Approach for the Recognition of Goal-Directed Hand Actions. - Falk Fleischer; Antonino Casile; Martin A. Giese (CAIP, 2009)

View-independent recognition of grasping actions with a cortex-inspired model. - Falk Fleischer; Antonino Casile; Martin A. Giese (Humanoids, 2009)

Design of Dynamical Stability Properties in Character Animation. - Aee-ni Park; Albert Mukovskiy; Jean-Jacques E. Slotine; Martin A. Giese (VRIPHYS, 2009)

Design of the dynamic stability properties of the collective behavior of articulated bipeds. - Albert Mukovskiy; Jean-Jacques E. Slotine; Martin A. Giese (Humanoids, 2010)

Hooligan detection: The effects of saliency and expert knowledge. - Dominik Endres; Heiko Neumann; Marina Kolesnik; Martin A. Giese (ICDP, 2011)

Segmentation of Action Streams Human Observers vs. Bayesian Binning. - Dominik Endres; Andrea Christensen; Lars Omlor; Martin A. Giese (KI, 2011)

Gates for Handling Occlusion in Bayesian Models of Images: An Initial Study. - Daniel Oberhoff; Dominik Endres; Martin A. Giese; Marina Kolesnik (KI, 2011)

Shaking Hands in Latent Space - Modeling Emotional Interactions with Gaussian Process Latent Variable Models. - Nick Taubert; Dominik Endres; Andrea Christensen; Martin A. Giese (KI, 2011)

Anechoic Blind Source Separation Using Wigner Marginals. - Lars Omlor; Martin A. Giese (J. Mach. Learn. Res., 2011)

Analysis and Design of the Dynamical Stability of Collective Behavior in Crowds. - Albert Mukovskiy; Jean-Jacques E. Slotine; Martin A. Giese (J. WSCG, 2011)

Emulating human observers with bayesian binning: Segmentation of action streams. - Dominik Endres; Andrea Christensen; Lars Omlor; Martin A. Giese (ACM Trans. Appl. Percept., 2011)

Online simulation of emotional interactive behaviors with hierarchical Gaussian process dynamical models. - Nick Taubert; Andrea Christensen; Dominik Endres; Martin A. Giese (SAP, 2012)

Learning Representations for Animated Motion Sequence and Implied Motion Recognition. - Georg Layher; Martin A. Giese; Heiko Neumann (ICANN (1), 2012)

Understanding the Semantic Structure of Human fMRI Brain Recordings with Formal Concept Analysis. - Dominik Endres; Ruth Adam; Martin A. Giese; Uta Noppeney (ICFCA, 2012)

A virtual reality setup for controllable, stylized real-time interactions between humans and avatars with sparse Gaussian process dynamical models. - Nick Taubert; Martin Löffler; Nicolas Ludolph; Andrea Christensen; Dominik Endres; Martin A. Giese (SAP, 2013)

High level influences on visual action recognition. - Stephan de la Rosa; Stephan Streuber; Martin A. Giese; Heinrich H. Bülthoff; Cristóbal Curio (CogSci, 2013)

Model selection for the extraction of movement primitives. - Dominik Maria Endres; Enrico Chiovetto; Martin A. Giese (Frontiers Comput. Neurosci., 2013)

Segmenting sign language into motor primitives with Bayesian binning. - Dominik Endres; Yaron Meirovitch; Tamar Flash; Martin A. Giese (Frontiers Comput. Neurosci., 2013)

Dynamically stable control of articulated crowds. - Albert Mukovskiy; Jean-Jacques E. Slotine; Martin A. Giese (J. Comput. Sci., 2013)

Bayesian Approaches for Learning of Primitive-Based Compact Representations of Complex Human Activities. - Dominik Endres; Enrico Chiovetto; Martin A. Giese (Dance Notations and Robot Motion, 2014)

Skeleton Model for the Neurodynamics of Visual Action Representations. - Martin A. Giese (ICANN, 2014)

Coupling Gaussian Process Dynamical Models with Product-of-Experts Kernels. - Dmytro Velychko; Dominik Endres; Nick Taubert; Martin A. Giese (ICANN, 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. - Sabrina Schneider; Andrea Christensen; Florian B. Häußinger; Andreas J. Fallgatter; Martin A. Giese; Ann-Christine Ehlis (NeuroImage, 2014)

Learning Representations of Animated Motion Sequences - A Neural Model. - Georg Layher; Martin A. Giese; Heiko Neumann (Top. Cogn. Sci., 2014)

Editorial: Modularity in motor control: from muscle synergies to cognitive action representation. - Andrea d'Avella; Martin A. Giese; Yuri P. Ivanenko; Thomas Schack; Tamar Flash (Frontiers Comput. Neurosci., 2015)

Modeling of Predictive Human Movement Coordination Patterns for Applications in Computer Graphics. - Albert Mukovskiy; William M. Land; Thomas Schack; Martin A. Giese (J. WSCG, 2015)

Brain activity correlates with emotional perception induced by dynamic avatars. - Hagar Goldberg; Andrea Christensen; Tamar Flash; Martin A. Giese; Rafael Malach (NeuroImage, 2015)

Adaptation of walking ground reaction forces to changes in ground stiffness properties. - Adrien Pajon; Enrico Chiovetto; Colleen Monaghan; Martin A. Giese; Abderrahmane Kheddar (BioRob, 2016)

Joint torque analysis of push recovery motions during human walking. - R. Malin Schemschat; Debora Clever; Martin L. Felis; Enrico Chiovetto; Martin A. Giese; Katja D. Mombaur (BioRob, 2016)

Phenomenological Model for the Adapatation of Shape-Selective Neurons in Area IT. - Martin A. Giese; Pradeep Kuravi; Rufin Vogels (ICANN (1), 2016)

Neural Model for the Influence of Shading on the Multistability of the Perception of Body Motion. - Leonid Fedorov; Joris Vangeneugden; Martin A. Giese (IJCCI (NCTA), 2016)

Perceptual Robotics. - Heinrich H. Bülthoff; Christian Wallraven; Martin A. Giese (Springer Handbook of Robotics, 2nd Ed., 2016)

Neurodynamical Model for the Coupling of Action Perception and Execution. - Mohammad Hovaidi-Ardestani; Vittorio Caggiano; Martin A. Giese (ICANN (1), 2017)

Adaptive synthesis of dynamically feasible full-body movements for the humanoid robot HRP-2 by flexible combination of learned dynamic movement primitives. - Albert Mukovskiy; Christian Vassallo; Maximilien Naveau; Olivier Stasse; Philippe Souères; Martin A. Giese (Robotics Auton. Syst., 2017)

Modeling of Coordinated Human Body Motion by Learning of Structured Dynamic Representations. - Albert Mukovskiy; Nick Taubert; Dominik Endres; Christian Vassallo; Maximilien Naveau; Olivier Stasse; Philippe Souères; Martin A. Giese (Geometric and Numerical Foundations of Movements, 2017)

Neural Model for the Visual Recognition of Animacy and Social Interaction. - Mohammad Hovaidi-Ardestani; Nitin Saini; Aleix M. Martínez; Martin A. Giese (ICANN (3), 2018)

Real-time Control of Whole-body Robot Motion and Trajectory Generation for Physiotherapeutic Juggling in VR. - Pouya Mohammadi 001; Milad Malekzadeh Shafaroudi; Jindrich Kodl; Albert Mukovskiy; Dennis Leroy Wigand; Martin A. Giese; Jochen J. Steil (IROS, 2018)

Human-inspired balance model to account for foot-beam interaction mechanics. - Jongwoo Lee; Meghan E. Huber; Enrico Chiovetto; Martin A. Giese; Dagmar Stemad; Neville Hogan (ICRA, 2019)

Compliant Humanoids Moving Toward Rehabilitation Applications: Transparent Integration of Real-Time Control, Whole-Body Motion Generation, and Virtual Reality. - Pouya Mohammadi 001; Enrico Mingo Hoffman; Niels Dehio; Milad S. Malekzadeh; Martin A. Giese; Nikos G. Tsagarakis; Jochen J. Steil (IEEE Robotics Autom. Mag., 2019)

Detecting and Quantifying Ataxia-Related Motor Impairments in Rodents Using Markerless Motion Tracking With Deep Neural Networks. - Jana Lang; Eva Haas; Jeannette Hübener-Schmid; Collin J. Anderson; Stefan M. Pulst; Martin A. Giese; Winfried Ilg (EMBC, 2020)

Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data. - Alessandro Salatiello; Martin A. Giese (ICANN (1), 2020)

Physiologically-Inspired Neural Circuits for the Recognition of Dynamic Faces. - Michael Stettler; Nick Taubert; Tahereh Azizpour; Ramona Siebert; Silvia Spadacenta; Peter W. Dicke; Peter Thier; Martin A. Giese (ICANN (1), 2020)

Reactive Hand Movements from Arm Kinematics and EMG Signals Based on Hierarchical Gaussian Process Dynamical Models. - Nick Taubert; Jesse St. Amand; Prerana Kumar; Leonardo Gizzi; Martin A. Giese (ICANN (1), 2020)

Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification. - Jana Lang; Martin A. Giese; Matthis Synofzik; Winfried Ilg; Sebastian Otte (ICANN (4), 2021)

Hierarchical Deep Gaussian Processes Latent Variable Model via Expectation Propagation. - Nick Taubert; Martin A. Giese (ICANN (3), 2021)

Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses. - Alessandro Salatiello; Martin A. Giese (IJCNN, 2021)

A Dynamical Generative Model of Social Interactions. - Alessandro Salatiello; Mohammad Hovaidi-Ardestani; Martin A. Giese (Frontiers Neurorobotics, 2021)

Multimodal Sensor-Based Identification of Stress and Compulsive Actions in Children with Obsessive-Compulsive Disorder for Telemedical Treatment. - Annika Thierfelder; Jonas Primbs; Björn Severitt; Carolin S. Hohnecker; Jan Kühnhausen; Annika K. Alt; Anja Pascher; Ursula Wörz; Helene Passon; Jens Seemann; Christian Ernst; Heinrich Lautenbacher; et al. (EMBC, 2022)

Toward a unifying framework for the modeling and identification of motor primitives. - Enrico Chiovetto; Alessandro Salatiello; Andrea d'Avella; Martin A. Giese (Frontiers Comput. Neurosci., 2022)

Neurodynamical Model of the Visual Recognition of Dynamic Bodily Actions from Silhouettes. - Prerana Kumar; Nick Taubert; Rajani Raman; Anna Bognár; Ghazaleh Ghamkhari Nejad; Rufin Vogels; Martin A. Giese (ICANN (2), 2023)

Generating Sparse Counterfactual Explanations for Multivariate Time Series. - Jana Lang; Martin A. Giese; Winfried Ilg; Sebastian Otte (ICANN (6), 2023)

One Hip Wonder: 1D-CNNs Reduce Sensor Requirements for Everyday Gait Analysis. - Jens Seemann; Tim Loris; Lukas Weber; Matthis Synofzik; Martin A. Giese; Winfried Ilg (ICANN (10), 2023)

Multi-Domain Norm-referenced Encoding Enables Data Efficient Transfer Learning of Facial Expression Recognition. - Michael Stettler; Alexander Lappe; Nick Taubert; Martin A. Giese (CoRR, 2023)

The contribution of dynamics to macaque body and face patch responses. - Anna Bognár; Rajani Raman; Nick Taubert; Yordanka Zafirova; Baichen Li; Martin A. Giese; Béatrice de Gelder; Rufin Vogels (NeuroImage, 2023)

Generating Realistic Arm Movements in Reinforcement Learning: A Quantitative Comparison of Reward Terms and Task Requirements. - Jhon Charaja; Isabell Wochner; Pierre Schumacher; Winfried Ilg; Martin A. Giese; Christophe Maufroy; Andreas Bulling; Syn Schmitt; Georg Martius; Daniel F. B. Haeufle (BioRob, 2024)

Quantifying Human Upper Limb Stiffness Responses Based on a Computationally Efficient Neuromusculoskeletal Arm Model. - Maria Sapounaki; Pierre Schumacher; Winfried Ilg; Martin A. Giese; Christophe Maufroy; Andreas Bulling; Syn Schmitt; Daniel F. B. Haeufle; Isabell Wochner (BioRob, 2024)

Parallel Backpropagation for Shared-Feature Visualization. - Alexander Lappe; Anna Bognár; Ghazaleh Ghamkhari Nejad; Albert Mukovskiy; Lucas Martini; Martin A. Giese; Rufin Vogels (NeurIPS, 2024)

Generating Realistic Arm Movements in Reinforcement Learning: A Quantitative Comparison of Reward Terms and Task Requirements. - Jhon Charaja; Isabell Wochner; Pierre Schumacher; Winfried Ilg; Martin A. Giese; Christophe Maufroy; Andreas Bulling; Syn Schmitt; Daniel F. B. Haeufle (CoRR, 2024)

Lessons learned from a multimodal sensor-based eHealth approach for treating pediatric obsessive-compulsive disorder. - Carolin S. Klein; Karsten Hollmann; Jan Kühnhausen; Annika K. Alt; Anja Pascher; Lennart Seizer; Jonas Primbs; Winfried Ilg; Annika Thierfelder; Björn Severitt; Helene Passon; Ursula Wörz; et al. (Frontiers Digit. Health, 2024)

iAssistADL: Intelligent Assistive Device for Patients with Neurodegenerative Movement Disorder: Concepts and First Implementations. - Winfried Ilg; Isabell Wochner; Jhon P. F. Charaja; Veronika Hofmann; Ole Strenge; Melanie Adam; Regine Lendway; Jan Kerner; Bhavya Deep Vashisht; Marko Ackermann; Friedemann Bunjes; Urs Schneider; et al. (ICORR, 2025)

Register and CLS tokens yield a decoupling of local and global features in large ViTs. - Alexander Lappe; Martin A. Giese (CoRR, 2025)

Single-Example Learning in a Mixture of GPDMs with Latent Geometries. - Jesse St. Amand; Leonardo Gizzi; Martin A. Giese (CoRR, 2025)