Personal Page

Dr. Mukovskiy, Albert

Room: 4.534
Section for Computational Sensomotorics
Department of Cognitive Neurology
Hertie Institute for Clinical Brain Research
Centre for Integrative Neuroscience
University Clinic Tübingen
Otfried-Müller-Str. 25
72076 Tübingen, Germany
+497071 2989224
albert.mukovskiy@medizin.uni-tuebingen.de
Albert Mukovskiy

Projects

Publications

Lappe, A., Bognár, A., Nejad, G. G., Raman, R., Mukovskiy, A., Martini, L. M. et al (2024). Predictive Features in Deep Neural Network Models of Macaque Body Patch Selectivity. Journal of Vision September 2024 . Vision Science Society.
Predictive Features in Deep Neural Network Models of Macaque Body Patch Selectivity
Abstract:

Previous work has shown that neurons from body patches in macaque superior temporal sulcus (STS) respond selectively to images of bodies. However, the visual features leading to this body selectivity remain unclear. METHODS: We conducted experiments using 720 stimuli presenting a monkey avatar in various poses and viewpoints. Spiking activity was recorded from mid-STS (MSB) and anterior-STS (ASB) body patches, previously identified using fMRI. To identify visual features driving the neural responses, we used a model with a deep network as frontend and a linear readout model that was fitted to predict the neuron activities. Computing the gradients of the outputs backwards along the neural network, we identified the image regions that were most influential for the model neuron output. Since previous work suggests that neurons from this area also respond to some extent to images of objects, we used a similar approach to visualize object parts eliciting responses from the model neurons. Based on an object dataset, we identified the shapes that activate each model unit maximally. Computing and combining the pixel-wise gradients of model activations from object and body processing, we were able to identify common visual features driving neural activity in the model. RESULTS: Linear models fit the data well, with mean noise-corrected correlations with neural data of 0.8 in ASB and 0.94 in MSB. Gradient analysis on the body stimuli did not reveal clear preferences of certain body parts and were difficult to interpret visually. However, the joint gradients between objects and bodies traced visually similar features in both images. CONCLUSION: Deep neural networks model STS data well, even though for all tested models, explained variance was substantially lower in the more anterior region. Further work will test if the features that the deep network relies on are also used by body patch neurons.

Authors: Lappe, Alexander; Bognár, Anna Nejad, Ghazaleh Ghamkhari Raman, Rajani Mukovskiy, Albert; Martini, Lucas M.; Vogels, Rufin Giese, Martin A.
Type of Publication: In Collection
JRESEARCH_BOOK_TITLE: Journal of Vision September 2024
Publisher: Vision Science Society
Month: September
[Bibtex]
Lappe, A., Bognár, A., Nejad, G. G., Mukovskiy, A., Martini, L. M., Giese, M. A. et al. (2024). Parallel Backpropagation for Shared-Feature Visualization. Advances in Neural Information Processing Systems(37), 22993-23012.
Parallel Backpropagation for Shared-Feature Visualization
Authors: Lappe, Alexander; Bognár, Anna Nejad, Ghazaleh Ghamkhari Mukovskiy, Albert; Martini, Lucas M.; Giese, Martin A.; Vogels, Rufin
Type of Publication: Article
Journal: Advances in Neural Information Processing Systems
Number: 37
Pages: 22993-23012
Year: 2024
Full text: PDF Online version
[Bibtex]
Abassi, E., Bognár, A., de Gelder, B., Giese, M. A., Isik, L., Lappe, A. et al. (2024). Neural Encoding of Bodies for Primate Social Perception. Journal of Neuroscience, 44(40).
Neural Encoding of Bodies for Primate Social Perception
Abstract:

Primates, as social beings, have evolved complex brain mechanisms to navigate intricate social environments. This review explores the neural bases of body perception in both human and nonhuman primates, emphasizing the processing of social signals conveyed by body postures, movements, and interactions. Early studies identified selective neural responses to body stimuli in macaques, particularly within and ventral to the superior temporal sulcus (STS). These regions, known as body patches, represent visual features that are present in bodies but do not appear to be semantic body detectors. They provide information about posture and viewpoint of the body. Recent research using dynamic stimuli has expanded the understanding of the body-selective network, highlighting its complexity and the interplay between static and dynamic processing. In humans, body-selective areas such as the extrastriate body area (EBA) and fusiform body area (FBA) have been implicated in the perception of bodies and their interactions. Moreover, studies on social interactions reveal that regions in the human STS are also tuned to the perception of dyadic interactions, suggesting a specialized social lateral pathway. Computational work developed models of body recognition and social interaction, providing insights into the underlying neural mechanisms. Despite advances, significant gaps remain in understanding the neural mechanisms of body perception and social interaction. Overall, this review underscores the importance of integrating findings across species to comprehensively understand the neural foundations of body perception and the interaction between computational modeling and neural recording.

Authors: Abassi, Etienne Bognár, Anna de Gelder, Bea Giese, Martin A.; Isik, Leyla Lappe, Alexander; Mukovskiy, Albert; Solanas, Marta Poyo Taubert, Jessica Vogels, Rufin
Type of Publication: Article
Full text: Online version
[Bibtex]
Bognár, A., Mukovskiy, A., Nejad, G. G., Taubert, N., Stettler, M., Martini, L. M. et al (2023). Simultaneous recordings from posterior and anterior body responsive regions in the macaque Superior Temporal Sulcus . VSS 2023, May 19-24 2023, St. Pete Beach, Florida.
Simultaneous recordings from posterior and anterior body responsive regions in the macaque Superior Temporal Sulcus
Authors: Bognár, A. Mukovskiy, Albert; Nejad, G. Ghamkhari Taubert, Nick; Stettler, Michael; Martini, Lucas M.; Raman, R. Giese, Martin A.; Vogels, R.
Type of Publication: In Collection
[Bibtex]
Bognár, A., Mukovskiy, A., Nejad, G. G., Taubert, N., Stettler, M., Martini, L. M. et al (2023). Feature selectivity of body-patch neurons assessed with a large set of monkey avatars . 13th Annual Meeting on PrimateNeurobiology, Apr.26-28 2023, Göttingen Primate Center..
Feature selectivity of body-patch neurons assessed with a large set of monkey avatars
Authors: Bognár, A. Mukovskiy, Albert; Nejad, G. Ghamkhari Taubert, Nick; Stettler, Michael; Martini, Lucas M.; Raman, R. Giese, Martin A.; Vogels, R.
Type of Publication: In Collection
[Bibtex]
Mukovskiy, A., Hovaidi-Ardestani, M., Salatiello, A., Stettler, M., Vogels, R. & Giese, M. A (2022). Neurophysiologically-inspired computational model of the visual recognition of social behavior and intent . FENS Forum, Paris.
Neurophysiologically-inspired computational model of the visual recognition of social behavior and intent
Abstract:

AIMS: Humans recognize social interactions and intentions from videos of moving abstract stimuli, including simple geometric figures (Heider {&} Simmel, 1944). The neural machinery supporting such social interaction perception is completely unclear. Here, we present a physiologically plausible neural model of social interaction recognition that identifies social interactions in videos of simple geometric figures and fully articulating animal avatars, moving in naturalistic environments. METHODS: We generated the trajectories for both geometric and animal avatars using an algorithm based on a dynamical model of human navigation (Hovaidi-Ardestani, et al., 2018, Warren, 2006). Our neural recognition model combines a Deep Neural Network, realizing a shape-recognition pathway (VGG16), with a top-level neural network that integrates RBFs, motion energy detectors, and dynamic neural fields. The model implements robust tracking of interacting agents based on interaction-specific visual features (relative position, speed, acceleration, and orientation). RESULTS: A simple neural classifier, trained to predict social interaction categories from the features extracted by our neural recognition model, makes predictions that resemble those observed in previous psychophysical experiments on social interaction recognition from abstract (Salatiello, et al. 2021) and naturalistic videos. CONCLUSION: The model demonstrates that recognition of social interactions can be achieved by simple physiologically plausible neural mechanisms and makes testable predictions about single-cell and population activity patterns in relevant brain areas. Acknowledgments: ERC 2019-SyG-RELEVANCE-856495, HFSP RGP0036/2016, BMBF FKZ 01GQ1704, SSTeP-KiZ BMG: ZMWI1-2520DAT700, and NVIDIA Corporation.

Authors: Mukovskiy, Albert; Hovaidi-Ardestani, Mohammad Salatiello, Alessandro; Stettler, Michael; Vogels, Rufin Giese, Martin A.
Type of Publication: In Collection
[Bibtex]
Mukovskiy, A., Hovaidi-Ardestani, M., Salatiello, A., Stettler, M., Vogels, R. & Giese, M. A (2022). Physiologically-inspired neural model for social interaction recognition from abstract and naturalistic videos . VSS Annual Meeting 2022.
Physiologically-inspired neural model for social interaction recognition from abstract and naturalistic videos
Authors: Mukovskiy, Albert; Hovaidi-Ardestani, Mohammad Salatiello, Alessandro; Stettler, Michael; Vogels, Rufin Giese, Martin A.
Type of Publication: In Collection
[Bibtex]
Giese, M. A., Mukovskiy, A., Hovaidi-Ardestani, M., Salatiello, A. & Stettler, M. (2021). Neurophysiologically-inspired model for social interactions recognition from abstract and naturalistic stimuli. VSS 2021.
Neurophysiologically-inspired model for social interactions recognition from abstract and naturalistic stimuli
Research Areas: Uncategorized
Type of Publication: Article
[Bibtex]
Giese, M. A., Mukovskiy, A., Hovaidi-Ardestani, M., Salatiello, A. & Stettler, M (2021). Neurophysiologically-inspired model for social interactions recognition from abstract and naturalistic stimuli. VSS 2021, May 21-26 .
Neurophysiologically-inspired model for social interactions recognition from abstract and naturalistic stimuli
Type of Publication: In Collection
[Bibtex]
Mukovskiy, A., Ardestani, M. H., Salatiello, A., Stettler, M. & Giese, M. A (2021). Physiologically-inspired neural model for social interactions recognition from abstract and naturalistic stimuli. Göttingen Meeting of the German Neuroscience Society 2021, Germany .
Physiologically-inspired neural model for social interactions recognition from abstract and naturalistic stimuli
Type of Publication: In Collection
[Bibtex]
Mukovskiy, A., Ardestani, M. H., Salatiello, A., Stettler, M. & Giese, M. A. (2021). Physiologically-inspired neural model for social interactions recognition from abstract and naturalistic stimuli.. Göttingen Meeting of the German Neuroscience Society.
Physiologically-inspired neural model for social interactions recognition from abstract and naturalistic stimuli.
Research Areas: Uncategorized
Type of Publication: Article
[Bibtex]
Ardestani, M. H., Mukovskiy, A., Stettler, M., Saini, N. & Giese, M. A (2020). Physiologically-inspired neural model for the visual recognition of social interactions from abstract and natural stimuli. VSS 2020, 19-24 Jun .
Physiologically-inspired neural model for the visual recognition of social interactions from abstract and natural stimuli
Authors: Ardestani, Mohammad Hovaidi Mukovskiy, Albert; Stettler, Michael; Saini, Nitin Giese, Martin A.
Type of Publication: In Collection
[Bibtex]
Kodl, J., Mukovskiy, A., Mohammadi, P., Malekzadeh, M., Taubert, N., Christensen, A. et al (2019). Online planning and control of ball throwing by the humanoid robot COMAN and validation exploiting VR in rehabilitation scenarios with ataxia patients. Oral presentation and extended abstract in Proc. of CYBATHLON Symposium on Assistive and Wearable Robotics (AsWeR 2019). 16–17 May, 2019, Karlsruhe .
Online planning and control of ball throwing by the humanoid robot COMAN and validation exploiting VR in rehabilitation scenarios with ataxia patients
Authors: Kodl, Jindrich Mukovskiy, Albert; Mohammadi, P Malekzadeh, M Taubert, Nick; Christensen, A Dijkstra, Tjeerd Steil, JJ Giese, Martin A.
Research Areas: Uncategorized
Type of Publication: In Collection
Full text: Online version
[Bibtex]
Mohammadi, P., Malekzadeh, M. S., Kodl, J., Mukovskiy, A., Wigand, D., Giese, M. A. et al. (2018). Real-Time Control of Whole-Body Robot Motion and Trajectory Generation for Physiotherapeutic Juggling in VR. IROS2018, 270-277.
Real-Time Control of Whole-Body Robot Motion and Trajectory Generation for Physiotherapeutic Juggling in VR
Authors: Mohammadi, P. Malekzadeh, M. S. Kodl, Jindrich Mukovskiy, Albert; Wigand, D. Giese, Martin A.; Steil, Jochen
Type of Publication: Article
Full text: PDF Online version
[Bibtex]
Mukovskiy, A. (2018). Computational Methods for Cognitive and Cooperative Robotics. Phd Thesis.
Computational Methods for Cognitive and Cooperative Robotics
Research Areas: Uncategorized
Type of Publication: Phd Thesis
Full text: Online version
[Bibtex]
Kodl, J., Mukovskiy, A., Dijkstra, T., Brötz, D., Ludolph, N., Taubert, N. et al. (2017). Ball Throwing Games in Virtual Reality for Motor Rehabilitation. Iberdiscap, Bogota, Colombia, ISSN 2619-6433, 489-496.
Ball Throwing Games in Virtual Reality for Motor Rehabilitation
Authors: Kodl, Jindrich Mukovskiy, Albert; Dijkstra, Tjeerd Brötz, D Ludolph, Nicolas Taubert, Nick; Giese, Martin A.
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF Online version
[Bibtex]
Kodl, J., Mukovskiy, A., Dijkstra, T., Brötz, D., Ludolph, N., Taubert, N. et al (2017). Ball Throwing Games in Virtual Reality for Motor Rehabilitation. IX Iberoamerican Congress in Assistive Technology, Iberdiscap, Bogota, Colombia, ISSN 2619-6433 .
Ball Throwing Games in Virtual Reality for Motor Rehabilitation
Authors: Kodl, Jindrich Mukovskiy, Albert; Dijkstra, Tjeerd Brötz, D Ludolph, Nicolas Taubert, Nick; Giese, Martin A.
Research Areas: Uncategorized
Type of Publication: In Collection
[Bibtex]
Mukovskiy, A., Vassallo, C., Naveau, M., Stasse, O., Souères, P. & Giese, M. A. (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, 91, 270.
Adaptive synthesis of dynamically feasible full-body movements for the humanoid robot HRP-2 by flexible combination of learned dynamic movement primitives
Authors: Mukovskiy, Albert; Vassallo, Christian Naveau, Maximilien Stasse, Olivier Souères, Philippe Giese, Martin A.
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF Online version
[Bibtex]
Mukovskiy, A., Taubert, N., Endres, D., Vassallo, C., Naveau, M., Stasse, O. et al. (2017). Modeling of coordinated human body motion by learning of structured dynamic representations. In: J.P. Laumond et al. (Eds.): "Geometric and Numerical Foundations of Movements," Springer STAR Series, Springer-Verlag Berlin Heidelberg., 117, 237-267.
Modeling of coordinated human body motion by learning of structured dynamic representations
Authors: Mukovskiy, Albert; Taubert, Nick; Endres, Dominik Vassallo, C Naveau, M Stasse, O Souères, P Giese, Martin A.
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF Online version
[Bibtex]
Sternad, D., Mukovskiy, A., Ebert, J. & Dijkstra, T (2016). Dynamic Stability in Human Control of Complex Object. Ann. Meeting of NCM Soc., April, 2016, Montego Bay .
Dynamic Stability in Human Control of Complex Object
Authors: Sternad, D Mukovskiy, Albert; Ebert, J Dijkstra, Tjeerd
Research Areas: Uncategorized
Type of Publication: In Collection
Full text: PDF
[Bibtex]
Karklinsky, M., Naveau, M., Mukovskiy, A., Stasse, O., Flash, T. & Souères, P. (2016). Robust human-inspired power law trajectories for humanoid HRP-2 robot. Biomedical Robotics and Biomechatronics, 6th IEEE Conference Paper, 106-113.
Robust human-inspired power law trajectories for humanoid HRP-2 robot
Authors: Karklinsky, M Naveau, M Mukovskiy, Albert; Stasse, O Flash, T Souères, P
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF Online version
[Bibtex]
Mukovskiy, A., Vassallo, C., Naveau, M., Stasse, O., Souères, P. & Giese, M. A (2015). Learning Movement Primitives for the Humanoid Robot HRP2. IROS 2015: Joint workshop by the EU FP7 projects KoroiBot and H2R, Hamburg, Germany .
Learning Movement Primitives for the Humanoid Robot HRP2
Authors: Mukovskiy, Albert; Vassallo, Christian Naveau, Maximilien Stasse, Olivier Souères, Philippe Giese, Martin A.
Research Areas: Uncategorized
Type of Publication: In Collection
[Bibtex]
Ebert, J., Mukovskiy, A., Dijkstra, T. & Sternad, D (2015). Why You Don't Spill Your Coffee. RISE 2015: Research, Innovation and Scholarship Expo, Northeastern University, Boston, MA .
Why You Don't Spill Your Coffee
Authors: Ebert, Julia Mukovskiy, Albert; Dijkstra, Tjeerd Sternad, Dagmar
Research Areas: Uncategorized
Type of Publication: In Collection
Full text: PDF
[Bibtex]
Mukovskiy, A., Land, W. M., Schack, T. & Giese, M. A. (2015). Modeling of predictive human movement coordination patterns for applications in computer graphics. Journal of WSCG, 23(2), 139-146.
Modeling of predictive human movement coordination patterns for applications in computer graphics
Authors: Mukovskiy, Albert; Land, William M. Schack, Tomas Giese, Martin A.
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF Online version
[Bibtex]
Dayan, E., Stella, I., Mukovskiy, A., Douek, Y., Giese, M. A., Malach, R. et al. (2014). The Default Mode Network Differentiates Biological From Non-Biological Motion. Cereb. Cortex,, 26(1), 234-245.
The Default Mode Network Differentiates Biological From Non-Biological Motion
Authors: Dayan, Eran Stella, I. Mukovskiy, Albert; Douek, Yehonatan Giese, Martin A.; Malach, Rafael Flash, Tamar
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF Online version
[Bibtex]
Chiovetto, E., Mukovskiy, A., Reinhart, F., Kansari-Zadeh, M. S., Billiard, A., Steil, J. et al (2014). Assessment of human-likeness and naturalness of interceptive arm reaching movement accomplished by a humanoid robot Perception 43 ECVP Abstract Supplement, page 107.
Assessment of human-likeness and naturalness of interceptive arm reaching movement accomplished by a humanoid robot
Authors: Chiovetto, Enrico Mukovskiy, Albert; Reinhart, F. Kansari-Zadeh, M. S. Billiard, Aude Steil, Jochen Giese, Martin A.
Research Areas: Uncategorized
Type of Publication: In Collection
Full text: PDF Online version
[Bibtex]
Mukovskiy, A. & Giese, M. A (2014). Kinematic planning and dynamic control for bipeds. The XX Congress of the Int. Soc. of Electrophysiology and Kinesiology, ISEK 2014, Rome, Italy .
Kinematic planning and dynamic control for bipeds
Research Areas: Uncategorized
Type of Publication: In Collection
Full text: PDF
[Bibtex]
Ajallooeian, M., van den Kieboom, J., Mukovskiy, A., Giese, M. A. & Ijspeert, A. J. (2013). A general family of morphed nonlinear phase oscillators with arbitrary limit cycle shape. Physica D: Nonlinear Phenomena, 263, 41-56.
A general family of morphed nonlinear phase oscillators with arbitrary limit cycle shape
Authors: Ajallooeian, Mostafa van den Kieboom, J. Mukovskiy, Albert; Giese, Martin A.; Ijspeert, Auke J.
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF
[Bibtex]
Mukovskiy, A., Slotine, J.-J. & Giese, M. A. (2013). Dynamically stable control of articulated crowds. Journal of Computational Science, 4(4), 304-310.
Dynamically stable control of articulated crowds
Authors: Mukovskiy, Albert; Slotine, Jean-Jacques E. Giese, Martin A.
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF
[Bibtex]
Mukovskiy, A., Slotine, J. J. & Giese, M. A. (2011). Analysis and design of the dynamical stability of collective behavior in crowds. Skala V. (ed): Proceedings of the 19th International Conference on Computer Graphics, Visualization and Computer Vision 2011(WSCG2011), Jan.31-Febr.3, 2011, Plzen, Czech Republic. Journal of WSCG, 19(1-3), 69-76.
Analysis and design of the dynamical stability of collective behavior in crowds
Authors: Mukovskiy, Albert; Slotine, Jean Jacques E. Giese, Martin A.
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF
[Bibtex]
Mukovskiy, A., Slotine, J.-J. & Giese, M. A. (2010). Analysis of the global dynamical stability of crowd navigation applying Contraction Theory. In: Electronic Proceedings of Workshop on Crowd Simulation, 23rd Int. Conference on Computer Animation and Social Agents (CASA 2010), May 31-June 2, 2010, Saint-Malo, France.
Analysis of the global dynamical stability of crowd navigation applying Contraction Theory
Authors: Mukovskiy, Albert; Slotine, Jean-Jacques E. Giese, Martin A.
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF
[Bibtex]
Baranauskas, G., Mukovskiy, A., Wolf, J. & Volgushev, M. (2010). The determinants of the onset dynamics of action potentials in a computational model. Neuroscience, 167(4), 1070-1090.
The determinants of the onset dynamics of action potentials in a computational model
Authors: Baranauskas, Gytis Mukovskiy, Albert; Wolf, Julia Volgushev, Maxim
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF
[Bibtex]
Mukovskiy, A., Slotine, J.-J. & Giese, M. A. (2010). Contraction theory as method for the analysis and the design of stability of collective behavior in crowds. In: Electronic Proc. IADIS Int. Conference on Computer Graphics, Visualization, Computer Vision and Image Processing (CGVCVIP 2010) 27-29 July,2010 Freiburg, Germany, 47-56.
Contraction theory as method for the analysis and the design of stability of collective behavior in crowds
Authors: Mukovskiy, Albert; Slotine, Jean-Jacques E. Giese, Martin A.
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF
[Bibtex]
Mukovskiy, A., Slotine, J.-J. & Giese, M. A. (2010). Design of the Dynamic Stability Properties of the Collective Behavior of Articulated Bipeds. Proceedings of 10th IEEE-RAS Int. Conference on Humanoid Robots,( Humanoids 2010) December 6-8, 2010, Nashville, TN, USA. pp. 66-73. In press in special issue of IEEE Journal on Robotics and Automation.
Design of the Dynamic Stability Properties of the Collective Behavior of Articulated Bipeds
Authors: Mukovskiy, Albert; Slotine, Jean-Jacques E. Giese, Martin A.
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF
[Bibtex]
Giese, M. A., Mukovskiy, A., Park, A.-N., Omlor, L. & Slotine, J.-J. (2009). Real-Time Synthesis of Body Movements Based on Learned Primitives. In Cremers D, Rosenhahn B, Yuille A L (eds): Statistical and Geometrical Approaches to Visual Motion Analysis, Lecture Notes in Computer Science, 5604, 107-127.
Real-Time Synthesis of Body Movements Based on Learned Primitives
Authors: Giese, Martin A.; Mukovskiy, Albert; Park, Aee-Ni Omlor, Lars Slotine, Jean-Jacques E.
Research Areas: Uncategorized
Type of Publication: Article
Full text: Online version
[Bibtex]
Park, A.-N., Mukovskiy, A., Slotine, J.-J. & Giese, M. A. (2009). Design of dynamical stability properties in character animation. In: The 6th Workshop on Virtual Reality Interaction and Physical Simulation. ,VRIPHYS 09, Nov 5-6, Karlsruhe,Germany, 85-94.
Design of dynamical stability properties in character animation
Authors: Park, Aee-Ni Mukovskiy, Albert; Slotine, Jean-Jacques E. Giese, Martin A.
Research Areas: Uncategorized
Type of Publication: Article
Full text: Online version
[Bibtex]
Park, A.-N., Mukovskiy, A., Omlor, L. & Giese, M. A. (2008). Synthesis of character behaviour by dynamic interaction of synergies learned from motion capture data. Skala V (ed): Proceedings of the 16th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG),4-7 Feb, Plzen, Czech Republic, 9-16.
Synthesis of character behaviour by dynamic interaction of synergies learned from motion capture data
Authors: Park, Aee-Ni Mukovskiy, Albert; Omlor, Lars Giese, Martin A.
Research Areas: Uncategorized
Type of Publication: Article
Full text: Online version
[Bibtex]
Mukovskiy, A., Park, A.-N., Omlor, L., Slotine, J.-J. & Giese, M. A. (2008). Self-organization of character behavior by mixing of learned movement primitives. Proceedings of the 13th Fall Workshop on Vision, Modeling, and Visualization (VMV) , October 8-10, Konstanz, Germany, 121-130.
Self-organization of character behavior by mixing of learned movement primitives
Authors: Mukovskiy, Albert; Park, Aee-Ni Omlor, Lars Slotine, Jean-Jacques E. Giese, Martin A.
Research Areas: Uncategorized
Type of Publication: Article
[Bibtex]
Park, A.-N., Mukovskiy, A., Omlor, L. & Giese, M. A. (2008). Self organized character animation based on learned synergies from full-body motion capture data. Proceedings of the 2008 International Conference on Cognitive Systems (CogSys), University of Karlsruhe, Karlsruhe, Germany, 2-4 April, Springer-Verlag, Berlin.
Self organized character animation based on learned synergies from full-body motion capture data
Authors: Park, Aee-Ni Mukovskiy, Albert; Omlor, Lars Giese, Martin A.
Research Areas: Uncategorized
Type of Publication: Article
Full text: PDF Online version
[Bibtex]
Mukovskiy, A. & Giese, M. A. (2007). Style synthesis of human body motion based on learned spatio-temporal synergies. B\"ulthoff H H, Chatziastros A, Mallot H A, Ulrich R (eds): Proceedings of the 10th. T\"ubinger Perception Conference (TWK 2007), Knirsch, Kirchentellinsfurt, 152.
Style synthesis of human body motion based on learned spatio-temporal synergies
Research Areas: Uncategorized
Type of Publication: Article
[Bibtex]
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