| 2023 | ICANN | Neurodynamical Model of the Visual Recognition of Dynamic Bodily Actions from Silhouettes. | Prerana Kumar, Nick Taubert, Rajani Raman, Anna Bognr, Ghazaleh Ghamkhari Nejad, Rufin Vogels, Martin A. Giese |
| 2023 | ICANN | Generating Sparse Counterfactual Explanations for Multivariate Time Series. | Jana Lang, Martin A. Giese, Winfried Ilg, Sebastian Otte |
| 2023 | ICANN | 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 |
| 2021 | ICANN | 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 |
| 2021 | ICANN | Hierarchical Deep Gaussian Processes Latent Variable Model via Expectation Propagation. | Nick Taubert, Martin A. Giese |
| 2021 | IJCNN | Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses. | Alessandro Salatiello, Martin A. Giese |
| 2020 | ICANN | Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data. | Alessandro Salatiello, Martin A. Giese |
| 2020 | ICANN | 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 |
| 2020 | ICANN | 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 |
| 2019 | ICRA | 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 |
| 2018 | ICANN | Neural Model for the Visual Recognition of Animacy and Social Interaction. | Mohammad Hovaidi-Ardestani, Nitin Saini, Aleix M. Martinez, Martin A. Giese |
| 2018 | IROS | Real-time Control of Whole-body Robot Motion and Trajectory Generation for Physiotherapeutic Juggling in VR. | Pouya Mohammadi, Milad Malekzadeh Shafaroudi, Jindrich Kodl, Albert Mukovskiy, Dennis Leroy Wigand, Martin A. Giese, Jochen J. Steil |
| 2017 | ICANN | Neurodynamical Model for the Coupling of Action Perception and Execution. | Mohammad Hovaidi-Ardestani, Vittorio Caggiano, Martin A. Giese |
| 2016 | ICANN | Phenomenological Model for the Adapatation of Shape-Selective Neurons in Area IT. | Martin A. Giese, Pradeep Kuravi, Rufin Vogels |
| 2016 | IJCCI | Neural Model for the Influence of Shading on the Multistability of the Perception of Body Motion. | Leonid Fedorov, Joris Vangeneugden, Martin A. Giese |
| 2014 | ICANN | Skeleton Model for the Neurodynamics of Visual Action Representations. | Martin A. Giese |
| 2014 | ICANN | Coupling Gaussian Process Dynamical Models with Product-of-Experts Kernels. | Dmytro Velychko, Dominik M. Endres, Nick Taubert, Martin A. Giese |
| 2013 | CogSci | Learning Representations of Animated Motion Sequences - A Neural Model. | Georg Layher, Martin A. Giese, Heiko Neumann |
| 2013 | CogSci | High level influences on visual action recognition. | Stephan de la Rosa, Stephan Streuber, Martin A. Giese, Heinrich H. Blthoff, Cristbal Curio |
| 2012 | ICANN | Learning Representations for Animated Motion Sequence and Implied Motion Recognition. | Georg Layher, Martin A. Giese, Heiko Neumann |
| 2012 | ICFCA | Understanding the Semantic Structure of Human fMRI Brain Recordings with Formal Concept Analysis. | Dominik M. Endres, Ruth Adam, Martin A. Giese, Uta Noppeney |
| 2011 | KI | Segmentation of Action Streams Human Observers vs. Bayesian Binning. | Dominik M. Endres, Andrea Christensen, Lars Omlor, Martin A. Giese |
| 2011 | KI | Gates for Handling Occlusion in Bayesian Models of Images: An Initial Study. | Daniel Oberhoff, Dominik M. Endres, Martin A. Giese, Marina Kolesnik |
| 2011 | KI | Shaking Hands in Latent Space - Modeling Emotional Interactions with Gaussian Process Latent Variable Models. | Nick Taubert, Dominik M. Endres, Andrea Christensen, Martin A. Giese |
| 2009 | CAIP | Bio-inspired Approach for the Recognition of Goal-Directed Hand Actions. | Falk Fleischer, Antonino Casile, Martin A. Giese |
| 2008 | ICANN | Neural Model for the Visual Recognition of Goal-Directed Movements. | Falk Fleischer, Antonino Casile, Martin A. Giese |
| 2005 | ICANN | Learning Features of Intermediate Complexity for the Recognition of Biological Motion. | Rodrigo Sigala, Thomas Serre, Tomaso A. Poggio, Martin A. Giese |
| 2005 | WACV | Combining View-Based and Model-Based Tracking of Articulated Human Movements. | Cristbal Curio, Martin A. Giese |
| 2003 | ICANN | Roles of Motion and Form in Biological Motion Recognition. | Antonino Casile, Martin A. Giese |
| 1996 | ICANN | Neural Field Dynamics for Motion Perception. | Martin A. Giese, Gregor Schner, Howard S. Hock |
| 1996 | ICANN | 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 Schner, Hubert R. Dinse |