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ORCIDMartin A. Giese
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- affiliation: University Clinic Tübingen, Department of Cognitive Neurology
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2020 – today
- 2024
[c58]Maria Sapounaki, Pierre Schumacher, Winfried Ilg, Martin A. Giese, Christophe Maufroy, Andreas Bulling, Syn Schmitt, Daniel F. B. Haeufle, Isabell Wochner:
Quantifying Human Upper Limb Stiffness Responses Based on a Computationally Efficient Neuromusculoskeletal Arm Model. BioRob 2024: 514-519- [c57]Jhon Charaja, Isabell Wochner, Pierre Schumacher, Winfried Ilg, Martin A. Giese, Christophe Maufroy, Andreas Bulling, Syn Schmitt, Georg Martius, Daniel F. B. Haeufle:
Generating Realistic Arm Movements in Reinforcement Learning: A Quantitative Comparison of Reward Terms and Task Requirements. BioRob 2024: 562-568 - [i7]Jhon Charaja, Isabell Wochner, Pierre Schumacher, Winfried Ilg, Martin A. Giese, Christophe Maufroy, Andreas Bulling, Syn Schmitt, Daniel F. B. Haeufle:
Generating Realistic Arm Movements in Reinforcement Learning: A Quantitative Comparison of Reward Terms and Task Requirements. CoRR abs/2402.13949 (2024) - [i6]Alexander Lappe, Anna Bognár, Ghazaleh Ghamkhari Nejad, Albert Mukovskiy, Lucas Martini, Martin A. Giese, Rufin Vogels:
Parallel Backpropagation for Shared-Feature Visualization. CoRR abs/2405.09827 (2024) - 2023
- [j26]Anna Bognár, Rajani Raman
, Nick Taubert, Yordanka Zafirova, Baichen Li, Martin A. Giese, Béatrice de Gelder, Rufin Vogels:
The contribution of dynamics to macaque body and face patch responses. NeuroImage 269: 119907 (2023) - [c56]Jana Lang, Martin A. Giese, Winfried Ilg, Sebastian Otte:
Generating Sparse Counterfactual Explanations for Multivariate Time Series. ICANN (6) 2023: 180-193 - [c55]Jens Seemann, Tim Loris, Lukas Weber, Matthis Synofzik, Martin A. Giese, Winfried Ilg:
One Hip Wonder: 1D-CNNs Reduce Sensor Requirements for Everyday Gait Analysis. ICANN (10) 2023: 346-357 - [c54]Prerana Kumar, Nick Taubert, Rajani Raman, Anna Bognár, Ghazaleh Ghamkhari Nejad, Rufin Vogels, Martin A. Giese:
Neurodynamical Model of the Visual Recognition of Dynamic Bodily Actions from Silhouettes. ICANN (2) 2023: 533-544 - [i5]Michael Stettler, Alexander Lappe, Nick Taubert, Martin A. Giese:
Multi-Domain Norm-referenced Encoding Enables Data Efficient Transfer Learning of Facial Expression Recognition. CoRR abs/2304.02309 (2023) - 2022
- [j25]Enrico Chiovetto, Alessandro Salatiello, Andrea d'Avella, Martin A. Giese:
Toward a unifying framework for the modeling and identification of motor primitives. Frontiers Comput. Neurosci. 16 (2022) - [c53]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, Martin Holderried, Enkelejda Kasneci, Martin A. Giese, Andreas Bulling, Michael Menth, Gottfried M. Barth, Winfried Ilg, Karsten Hollmann, Tobias J. Renner:
Multimodal Sensor-Based Identification of Stress and Compulsive Actions in Children with Obsessive-Compulsive Disorder for Telemedical Treatment. EMBC 2022: 2976-2982 - [i4]Jana Lang, Martin A. Giese, Winfried Ilg, Sebastian Otte:
Generating Sparse Counterfactual Explanations For Multivariate Time Series. CoRR abs/2206.00931 (2022) - 2021
- [j24]Alessandro Salatiello, Mohammad Hovaidi-Ardestani, Martin A. Giese:
A Dynamical Generative Model of Social Interactions. Frontiers Neurorobotics 15: 648527 (2021) - [c52]Nick Taubert, Martin A. Giese:
Hierarchical Deep Gaussian Processes Latent Variable Model via Expectation Propagation. ICANN (3) 2021: 317-329 - [c51]Jana Lang, Martin A. Giese, Matthis Synofzik, Winfried Ilg, Sebastian Otte:
Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification. ICANN (4) 2021: 444-456 - [c50]Alessandro Salatiello, Martin A. Giese:
Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses. IJCNN 2021: 1-8 - [i3]Alessandro Salatiello, Martin A. Giese:
Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses. CoRR abs/2104.14049 (2021) - [i2]Jana Lang, Martin A. Giese, Matthis Synofzik, Winfried Ilg, Sebastian Otte:
Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification. CoRR abs/2107.02442 (2021) - 2020
- [c49]Jana Lang, Eva Haas, Jeannette Hübener-Schmid, Collin J. Anderson, Stefan M. Pulst, Martin A. Giese, Winfried Ilg:
Detecting and Quantifying Ataxia-Related Motor Impairments in Rodents Using Markerless Motion Tracking With Deep Neural Networks. EMBC 2020: 3642-3648 - [c48]Nick Taubert, Jesse St. Amand, Prerana Kumar, Leonardo Gizzi, Martin A. Giese:
Reactive Hand Movements from Arm Kinematics and EMG Signals Based on Hierarchical Gaussian Process Dynamical Models. ICANN (1) 2020: 127-140 - [c47]Michael Stettler, Nick Taubert, Tahereh Azizpour, Ramona Siebert, Silvia Spadacenta, Peter W. Dicke, Peter Thier, Martin A. Giese:
Physiologically-Inspired Neural Circuits for the Recognition of Dynamic Faces. ICANN (1) 2020: 168-179 - [c46]Alessandro Salatiello, Martin A. Giese:
Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data. ICANN (1) 2020: 874-886 - [i1]Alessandro Salatiello, Martin A. Giese:
Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data. CoRR abs/2005.02211 (2020)
2010 – 2019
- 2019
- [j23]Pouya Mohammadi, Enrico Mingo Hoffman, Niels Dehio, Milad S. Malekzadeh, Martin A. Giese, Nikos G. Tsagarakis, Jochen J. Steil:
Compliant Humanoids Moving Toward Rehabilitation Applications: Transparent Integration of Real-Time Control, Whole-Body Motion Generation, and Virtual Reality. IEEE Robotics Autom. Mag. 26(4): 83-93 (2019) - [c45]Jongwoo Lee, Meghan E. Huber, Enrico Chiovetto, Martin A. Giese, Dagmar Stemad, Neville Hogan:
Human-inspired balance model to account for foot-beam interaction mechanics. ICRA 2019: 1969-1974 - 2018
- [c44]Mohammad Hovaidi-Ardestani, Nitin Saini, Aleix M. Martínez, Martin A. Giese:
Neural Model for the Visual Recognition of Animacy and Social Interaction. ICANN (3) 2018: 168-177 - [c43]Pouya Mohammadi, Milad Malekzadeh Shafaroudi, Jindrich Kodl, Albert Mukovskiy, Dennis Leroy Wigand, Martin A. Giese, Jochen J. Steil:
Real-time Control of Whole-body Robot Motion and Trajectory Generation for Physiotherapeutic Juggling in VR. IROS 2018: 270-277 - 2017
- [j22]Albert Mukovskiy, Christian Vassallo, Maximilien Naveau, Olivier Stasse, Philippe Souères, Martin A. Giese:
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. 91: 270-283 (2017) - [c42]Mohammad Hovaidi-Ardestani, Vittorio Caggiano, Martin A. Giese:
Neurodynamical Model for the Coupling of Action Perception and Execution. ICANN (1) 2017: 19-26 - [p3]Albert Mukovskiy, Nick Taubert, Dominik Endres, Christian Vassallo, Maximilien Naveau, Olivier Stasse, Philippe Souères, Martin A. Giese:
Modeling of Coordinated Human Body Motion by Learning of Structured Dynamic Representations. Geometric and Numerical Foundations of Movements 2017: 237-267 - 2016
- [c41]R. Malin Schemschat, Debora Clever, Martin L. Felis, Enrico Chiovetto, Martin A. Giese, Katja D. Mombaur:
Joint torque analysis of push recovery motions during human walking. BioRob 2016: 133-139 - [c40]Adrien Pajon, Enrico Chiovetto, Colleen Monaghan, Martin A. Giese, Abderrahmane Kheddar:
Adaptation of walking ground reaction forces to changes in ground stiffness properties. BioRob 2016: 1313-1318 - [c39]Martin A. Giese, Pradeep Kuravi, Rufin Vogels:
Phenomenological Model for the Adapatation of Shape-Selective Neurons in Area IT. ICANN (1) 2016: 222-229 - [c38]Leonid Fedorov, Joris Vangeneugden, Martin A. Giese:
Neural Model for the Influence of Shading on the Multistability of the Perception of Body Motion. IJCCI (NCTA) 2016: 69-76 - [p2]Heinrich H. Bülthoff, Christian Wallraven, Martin A. Giese:
Perceptual Robotics. Springer Handbook of Robotics, 2nd Ed. 2016: 2095-2114 - 2015
- [j21]Andrea d'Avella, Martin A. Giese, Yuri P. Ivanenko, Thomas Schack, Tamar Flash:
Editorial: Modularity in motor control: from muscle synergies to cognitive action representation. Frontiers Comput. Neurosci. 9: 126 (2015) - [j20]Albert Mukovskiy, William M. Land, Thomas Schack, Martin A. Giese:
Modeling of Predictive Human Movement Coordination Patterns for Applications in Computer Graphics. J. WSCG 23(2): 139-146 (2015) - [j19]Hagar Goldberg, Andrea Christensen, Tamar Flash, Martin A. Giese, Rafael Malach:
Brain activity correlates with emotional perception induced by dynamic avatars. NeuroImage 122: 306-317 (2015) - 2014
- [j18]Sabrina Schneider, Andrea Christensen, Florian B. Häußinger, Andreas J. Fallgatter, Martin A. Giese, Ann-Christine Ehlis:
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 85: 380-390 (2014) - [j17]Georg Layher, Martin A. Giese, Heiko Neumann:
Learning Representations of Animated Motion Sequences - A Neural Model. Top. Cogn. Sci. 6(1): 170-182 (2014) - [c37]Dominik Endres, Enrico Chiovetto, Martin A. Giese:
Bayesian Approaches for Learning of Primitive-Based Compact Representations of Complex Human Activities. Dance Notations and Robot Motion 2014: 117-137 - [c36]Dmytro Velychko, Dominik Endres, Nick Taubert, Martin A. Giese:
Coupling Gaussian Process Dynamical Models with Product-of-Experts Kernels. ICANN 2014: 603-610 - [c35]Martin A. Giese:
Skeleton Model for the Neurodynamics of Visual Action Representations. ICANN 2014: 707-714 - 2013
- [j16]Dominik Endres, Yaron Meirovitch, Tamar Flash, Martin A. Giese:
Segmenting sign language into motor primitives with Bayesian binning. Frontiers Comput. Neurosci. 7: 68 (2013) - [j15]Dominik Maria Endres, Enrico Chiovetto, Martin A. Giese:
Model selection for the extraction of movement primitives. Frontiers Comput. Neurosci. 7: 185 (2013) - [j14]Albert Mukovskiy, Jean-Jacques E. Slotine, Martin A. Giese:
Dynamically stable control of articulated crowds. J. Comput. Sci. 4(4): 304-310 (2013) - [c34]Nick Taubert, Martin Löffler, Nicolas Ludolph, Andrea Christensen, Dominik Endres, Martin A. Giese:
A virtual reality setup for controllable, stylized real-time interactions between humans and avatars with sparse Gaussian process dynamical models. SAP 2013: 41-44 - [c33]Georg Layher, Martin A. Giese, Heiko Neumann:
Learning Representations of Animated Motion Sequences - A Neural Model. CogSci 2013 - [c32]Stephan de la Rosa, Stephan Streuber, Martin A. Giese, Heinrich H. Bülthoff, Cristóbal Curio:
High level influences on visual action recognition. CogSci 2013 - 2012
- [c31]Nick Taubert, Andrea Christensen, Dominik Endres, Martin A. Giese:
Online simulation of emotional interactive behaviors with hierarchical Gaussian process dynamical models. SAP 2012: 25-32 - [c30]Georg Layher, Martin A. Giese, Heiko Neumann:
Learning Representations for Animated Motion Sequence and Implied Motion Recognition. ICANN (1) 2012: 288-295 - [c29]Dominik Endres, Ruth Adam, Martin A. Giese, Uta Noppeney:
Understanding the Semantic Structure of Human fMRI Brain Recordings with Formal Concept Analysis. ICFCA 2012: 96-111 - 2011
- [j13]Lars Omlor, Martin A. Giese:
Anechoic Blind Source Separation Using Wigner Marginals. J. Mach. Learn. Res. 12: 1111-1148 (2011) - [j12]Albert Mukovskiy, Jean-Jacques E. Slotine, Martin A. Giese:
Analysis and Design of the Dynamical Stability of Collective Behavior in Crowds. J. WSCG 19(2): 69-76 (2011) - [j11]Dominik Endres, Andrea Christensen, Lars Omlor, Martin A. Giese:
Emulating human observers with bayesian binning: Segmentation of action streams. ACM Trans. Appl. Percept. 8(3): 16:1-16:12 (2011) - [c28]Dominik Endres, Heiko Neumann, Marina Kolesnik, Martin A. Giese:
Hooligan detection: The effects of saliency and expert knowledge. ICDP 2011: 1-6 - [c27]Dominik Endres, Andrea Christensen, Lars Omlor, Martin A. Giese:
Segmentation of Action Streams Human Observers vs. Bayesian Binning. KI 2011: 75-86 - [c26]Daniel Oberhoff, Dominik Endres, Martin A. Giese, Marina Kolesnik:
Gates for Handling Occlusion in Bayesian Models of Images: An Initial Study. KI 2011: 228-232 - [c25]Nick Taubert, Dominik Endres, Andrea Christensen, Martin A. Giese:
Shaking Hands in Latent Space - Modeling Emotional Interactions with Gaussian Process Latent Variable Models. KI 2011: 330-334 - [e2]Rachel McDonnell, Simon J. Thorpe, Stephen N. Spencer, Diego Gutierrez, Martin A. Giese:
Proceedings of the 8th Symposium on Applied Perception in Graphics and Visualization, APGV 2011, Toulouse, France, August 27-28, 2011. ACM 2011, ISBN 978-1-4503-0889-2 [contents] - 2010
- [c24]Albert Mukovskiy, Jean-Jacques E. Slotine, Martin A. Giese:
Design of the dynamic stability properties of the collective behavior of articulated bipeds. Humanoids 2010: 66-73
2000 – 2009
- 2009
- [c23]Falk Fleischer, Antonino Casile, Martin A. Giese:
Bio-inspired Approach for the Recognition of Goal-Directed Hand Actions. CAIP 2009: 714-722 - [c22]Falk Fleischer, Antonino Casile, Martin A. Giese:
View-independent recognition of grasping actions with a cortex-inspired model. Humanoids 2009: 514-519 - [c21]Aee-ni Park, Albert Mukovskiy, Jean-Jacques E. Slotine, Martin A. Giese:
Design of Dynamical Stability Properties in Character Animation. VRIPHYS 2009: 85-94 - 2008
- [c20]Cristóbal Curio, Martin A. Giese, Martin Breidt, Mario Kleiner, Heinrich H. Bülthoff:
Probing dynamic human facial action recognition from the other side of the mean. APGV 2008: 59-66 - [c19]Martin A. Giese, Albert Mukovskiy, Aee-Ni Park, Lars Omlor, Jean-Jacques E. Slotine:
Real-Time Synthesis of Body Movements Based on Learned Primitives. Statistical and Geometrical Approaches to Visual Motion Analysis 2008: 107-127 - [c18]Falk Fleischer, Antonino Casile, Martin A. Giese:
Neural Model for the Visual Recognition of Goal-Directed Movements. ICANN (2) 2008: 939-948 - [c17]Albert Mukovskiy, Aee-ni Park, Lars Omlor, Jean-Jacques E. Slotine, Martin A. Giese:
Selforganization of character behavior by mixing of learned movement primitives. VMV 2008: 121-130 - [p1]Heinrich H. Bülthoff, Christian Wallraven, Martin A. Giese:
Perceptual Robotics. Springer Handbook of Robotics 2008: 1481-1498 - 2007
- [j10]Lars Omlor, Martin A. Giese:
Extraction of spatio-temporal primitives of emotional body expressions. Neurocomputing 70(10-12): 1938-1942 (2007) - [c16]Lars Omlor, Martin A. Giese:
Learning of Translation-Invariant Independent Components: Multivariate Anechoic Mixtures. ICA 2007: 762-769 - 2006
- [c15]Cristóbal Curio, Martin Breidt, Mario Kleiner, Quoc C. Vuong, Martin A. Giese, Heinrich H. Bülthoff:
Semantic 3D motion retargeting for facial animation. APGV 2006: 77-84 - [c14]Lars Omlor, Martin A. Giese:
Blind source separation for over-determined delayed mixtures. NIPS 2006: 1049-1056 - [c13]Lars Omlor, Martin A. Giese:
Unsupervised Learning of Spatio-temporal Primitives of Emotional Gait. PIT 2006: 188-192 - 2005
- [j9]Martin A. Giese, David A. Leopold:
Physiologically inspired neural model for the encoding of face spaces. Neurocomputing 65-66: 93-101 (2005) - [c12]Johannes Mezger, Winfried Ilg, Martin A. Giese:
Trajectory synthesis by hierarchical spatio-temporal correspondence: comparison of different methods. APGV 2005: 25-32 - [c11]Rodrigo Sigala, Thomas Serre, Tomaso A. Poggio, Martin A. Giese:
Learning Features of Intermediate Complexity for the Recognition of Biological Motion. ICANN (1) 2005: 241-246 - [c10]Cristóbal Curio, Martin A. Giese:
Combining View-Based and Model-Based Tracking of Articulated Human Movements. WACV/MOTION 2005: 261-268 - 2004
- [j8]Winfried Ilg, Gökhan H. Bakir, Johannes Mezger, Martin A. Giese:
On the Representation, Learning and Transfer of Spatio-Temporal Movement Characteristics. Int. J. Humanoid Robotics 1(4): 613-636 (2004) - [e1]Carl Edward Rasmussen, Heinrich H. Bülthoff, Bernhard Schölkopf, Martin A. Giese:
Pattern Recognition, 26th DAGM Symposium, August 30 - September 1, 2004, Tübingen, Germany, Proceedings. Lecture Notes in Computer Science 3175, Springer 2004, ISBN 3-540-22945-0 [contents] - 2003
- [j7]Martin A. Giese:
Learning recurrent neural models with minimal complexity from neural tuning data. Neurocomputing 52-54: 277-283 (2003) - [c9]Winfried Ilg, Johannes Mezger, Martin A. Giese:
Estimation of Skill Levels in Sports Based on Hierarchical Spatio-Temporal Correspondences. DAGM-Symposium 2003: 523-531 - [c8]Antonino Casile, Martin A. Giese:
Roles of Motion and Form in Biological Motion Recognition. ICANN 2003: 854-866 - 2002
- [j6]Martin A. Giese, Xiaohui Xie:
Exact solution of the nonlinear dynamics of recurrent neural mechanisms for direction selectivity. Neurocomputing 44-46: 417-422 (2002) - [j5]A. Moukovski, D. M. Gorinevski, Martin A. Giese, Werner von Seelen:
Formation of pinwheels of preferred orientation by learning sparse neural representations of natural images. Neurocomputing 44-46: 549-553 (2002) - [j4]Angela J. Yu, Martin A. Giese, Tomaso A. Poggio:
Biophysiologically Plausible Implementations of the Maximum Operation. Neural Comput. 14(12): 2857-2881 (2002) - [c7]Martin A. Giese:
Prototypes of Biological Movements in Brains and Machines. Biologically Motivated Computer Vision 2002: 157-170 - [c6]Winfried Ilg, Martin A. Giese:
Modeling of Movement Sequences Based on Hierarchical Spatial-Temporal Correspondence of Movement Primitives. Biologically Motivated Computer Vision 2002: 528-537 - [c5]Martin A. Giese, Barbara Knappmeyer, Heinrich H. Bülthoff:
Automatic Synthesis of Sequences of Human Movements by Linear Combination of Learned Example Patterns. Biologically Motivated Computer Vision 2002: 538-547 - 2001
- [c4]Xiaohui Xie, Martin A. Giese:
Generating velocity tuning by asymmetric recurrent connections. NIPS 2001: 325-332 - 2000
- [j3]Martin A. Giese, Tomaso A. Poggio:
Morphable Models for the Analysis and Synthesis of Complex Motion Patterns. Int. J. Comput. Vis. 38(1): 59-73 (2000)
1990 – 1999
- 1998
- [b1]Martin A. Giese:
A dynamical model for the perceptual organization of apparent motion = (Ein dynamisches Modell für die perzeptuelle Organisation von Scheinbewegung). Ruhr University Bochum, Germany, 1998 - 1996
- [j2]Martin A. Giese, T. M. H. Dijkstra, Gregor Schöner, C. C. A. M. Gielen:
Identification of the nonlinear state-space dynamics of the action-perception cycle for visually induced postural sway. Biol. Cybern. 74(5): 427-437 (1996) - [c3]Martin A. Giese, Gregor Schöner, Howard S. Hock:
Neural Field Dynamics for Motion Perception. ICANN 1996: 335-340 - [c2]Dirk Jancke, Amir C. Akhavan, Wolfram Erlhagen, Martin A. Giese, Axel Steinhage, Gregor Schöner, Hubert R. Dinse:
Population Coding in Cat Visual Cortex Reveals Nonlinear Interactions as Predicted by a Neural Field Model. ICANN 1996: 641-648 - 1995
- [c1]Martin A. Giese, Gregor Schöner, Howard S. Hock:
The Dynamics of the Perceptual Organization in Apparent Motion. SNN Symposium on Neural Networks 1995: 165-168 - 1994
- [j1]T. M. H. Dijkstra, Gregor Schöner, Martin A. Giese, C. C. A. M. Gielen:
Frequency dependence of the action-perception cycle for postural control in a moving visual environment: relative phase dynamics. Biol. Cybern. 71(6): 489-501 (1994)
Coauthor Index
Dominik Endres
aka: Dominik Maria Endres
aka: Dominik Maria Endres
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