| 2026 | AIME | Supporting Autonomy in Dementia Patients with a Cognitive Assistant. | Felix Ocker, Steffen Heinrich, Alexa von Bosse, Jrg Deigmller, Pavel Smirnov, Julian Eggert |
| 2025 | CogSci | A Factorized Probabilistic Model of the Semantics of Vague Temporal Adverbials Relative to Different Events. | Svenja Kenneweg, Joerg Deigmoeller, Julian Eggert, Philipp Cimiano |
| 2025 | IC3K | Question Answering over Linked Data with Vague Temporal Adverbials. | David Maria Schmidt, Svenja Kenneweg, Julian Eggert, Jrg Deigmller, Philipp Cimiano |
| 2025 | IROS | The Constitutional Filter: Bayesian Estimation of Compliant Agents. | Simon Kohaut, Felix Divo, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting |
| 2024 | IC3K | Benchmarking the Ability of Large Language Models to Reason About Event Sets. | Svenja Kenneweg, Jrg Deigmller, Philipp Cimiano, Julian Eggert |
| 2023 | CHI | A User Interface for Sense-making of the Reasoning Process while Interacting with Robots. | Chao Wang, Joerg Deigmoeller, Pengcheng An, Julian Eggert |
| 2023 | IC3K | Memory Net: Generalizable Common-Sense Reasoning over Real-World Actions and Objects. | Julian Eggert, Joerg Deigmoeller, Pavel Smirnov, Johane Takeuchi, Andreas Richter |
| 2022 | IC3K | Situational Question Answering over Commonsense Knowledge Using Memory Nets. | Joerg Deigmoeller, Pavel Smirnov, Julian Eggert, Chao Wang, Johane Takeuchi |
| 2022 | IC3K | Situational Question Answering using Memory Nets. | Joerg Deigmoeller, Pavel Smirnov, Viktor Losing, Chao Wang, Johane Takeuchi, Julian Eggert |
| 2019 | IC3K | Memory Nets: Knowledge Representation for Intelligent Agent Operations in Real World. | Julian Eggert, Jrg Deigmller, Lydia Fischer, Andreas Richter |
| 2019 | IC3K | Action Representation for Intelligent Agents Using Memory Nets. | Julian Eggert, Jrg Deigmller, Lydia Fischer, Andreas Richter |
| 2018 | KR | Which tool to use? Grounded reasoning in everyday environments with assistant robots. | Lydia Fischer, Stephan Hasler, Joerg Deigmoeller, Thomas Schnuerer, Michael Redert, Ulrike Pluntke, Katrin Nagel, Chris Senzel, Joern Ploennigs, Andreas Richter, Julian Eggert |
| 2014 | ESANN | Beyond histograms: why learned structure-preserving descriptors outperform HOG. | Thomas Guthier, Volker Willert, Julian Eggert |
| 2014 | ICANN | sNN-LDS: Spatio-temporal Non-negative Sparse Coding for Human Action Recognition. | Thomas Guthier, Adrian Sosic, Volker Willert, Julian Eggert |
| 2013 | ESANN | Learning associative spatiotemporal features with non-negative sparse coding. | Thomas Guthier, Steve Gerges, Volker Willert, Julian Eggert |
| 2013 | ICANN | Learning Features for Activity Recognition with Shift-Invariant Sparse Coding. | Christian Vollmer, Horst-Michael Gross, Julian Eggert |
| 2013 | IJCNN | Non-negative sparse coding for motion extraction. | Thomas Guthier, Volker Willert, Andrea Schnall, Karel Kreuter, Julian Eggert |
| 2012 | ESANN | Unsupervised learning of motion patterns. | Thomas Guthier, Julian Eggert, Volker Willert |
| 2012 | ICANN | Generating Motion Trajectories by Sparse Activation of Learned Motion Primitives. | Christian Vollmer, Julian Eggert, Horst-Michael Gro |
| 2012 | KI | Modeling Human Motion Trajectories by Sparse Activation of Motion Primitives Learned from Unpartitioned Data. | Christian Vollmer, Julian Eggert, Horst-Michael Gross |
| 2010 | DICTA | A Two-Stage Correlation Method for Stereoscopic Depth Estimation. | Nils Einecke, Julian Eggert |
| 2010 | DICTA | Evaluation of Direct Plane Fitting for Depth and Parameter Estimation. | Nils Einecke, Julian Eggert |
| 2010 | ESANN | Figure-ground Segmentation using Metrics Adaptation in Level Set Methods. | Alexander Denecke, Irene Aylln Clemente, Heiko Wersing, Julian Eggert, Jochen Jakob Steil |
| 2010 | ESANN | Adaptive velocity tuning for visual motion estimation. | Volker Willert, Julian Eggert |
| 2010 | ESANN | Exploiting hierarchical prediction structures for mixed 2d-3d tracking. | Chen Zhang, Julian Eggert |
| 2010 | ICANN | Layered Motion Segmentation with a Competitive Recurrent Network. | Julian Eggert, Joerg Deigmoeller, Volker Willert |
| 2010 | IJCNN | A probabilistic method for hierarchical 2D-3D tracking. | Chen Zhang, Julian Eggert |
| 2009 | ICANN | Basis Decomposition of Motion Trajectories Using Spatio-temporal NMF. | Sven Hellbach, Julian Eggert, Edgar Krner, Horst-Michael Gross |
| 2009 | ICANN | Tracking with Multiple Prediction Models. | Chen Zhang, Julian Eggert |
| 2009 | IJCNN | Child-friendly divorcing: Incremental hierarchy learning in Bayesian networks. | Florian Rhrbein, Julian Eggert, Edgar Krner |
| 2009 | IJCNN | Level-set segmentation with contour based object representation. | Daniel Weiler, Florian Rhrbein, Julian Eggert |
| 2009 | ICVS | Demand-Driven Visual Information Acquisition. | Sven Rebhan, Andreas Richter, Julian Eggert |
| 2009 | ICVS | Robust Tracking by Means of Template Adaptation with Drift Correction. | Chen Zhang, Julian Eggert, Nils Einecke |
| 2009 | KI | Prediction and Classification of Motion Trajectories Using Spatio-Temporal NMF. | Julian Eggert, Sven Hellbach, Alexander Kolarow, Edgar Krner, Horst-Michael Gross |
| 2008 | BMVC | Probabilistic Optical Flow Estimation for Large Pixel Displacements Utilizing Egomotion Flow Compensation. | Volker Willert, Jens Schmdderich, Julian Eggert |
| 2008 | ICANN | Echo State Networks for Online Prediction of Movement Data - Comparing Investigations. | Sven Hellbach, Sren Strauss, Julian Eggert, Edgar Krner, Horst-Michael Gross |
| 2008 | ICANN | A Probabilistic Prediction Method for Object Contour Tracking. | Daniel Weiler, Volker Willert, Julian Eggert |
| 2008 | ICMLA | Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint. | Volker Willert, Julian Eggert, Marc Toussaint, Edgar Krner |
| 2008 | ICONIP | Time Series Analysis for Long Term Prediction of Human Movement Trajectories. | Sven Hellbach, Julian Eggert, Edgar Krner, Horst-Michael Gross |
| 2008 | ICONIP | Incremental Learning in the Non-negative Matrix Factorization. | Sven Rebhan, Waqas Sharif, Julian Eggert |
| 2008 | ICONIP | Tracking with Depth-from-Size. | Chen Zhang, Volker Willert, Julian Eggert |
| 2008 | ICVS | Attention Modulation Using Short- and Long-Term Knowledge. | Sven Rebhan, Florian Rhrbein, Julian Eggert, Edgar Krner |
| 2007 | ICANN | Template Matching for Large Transformations. | Julian Eggert, Chen Zhang, Edgar Krner |
| 2007 | ICANN | Sparse and Transformation-Invariant Hierarchical NMF. | Sven Rebhan, Julian Eggert, Horst-Michael Gro, Edgar Krner |
| 2007 | ICMLA | Uncertainty optimization for robust dynamic optical flow estimation. | Volker Willert, Marc Toussaint, Julian Eggert, Edgar Krner |
| 2007 | ICONIP | Walking Appearance Manifolds without Falling Off. | Nils Einecke, Julian Eggert, Sven Hellbach, Edgar Krner |
| 2007 | ICONIP | Multi-dimensional Histogram-Based Image Segmentation. | Daniel Weiler, Julian Eggert |
| 2007 | IJCAI | A Cortex-Inspired Neural-Symbolic Network for Knowledge Representation. | Florian Rhrbein, Julian Eggert, Edgar Krner |
| 2007 | IJCNN | A Probabilistic Method for Motion Pattern Segmentation. | Daniel Weiler, Volker Willert, Julian Eggert, Edgar Krner |
| 2006 | IROS | Integrated Research and Development Environment for Real-Time Distributed Embodied Intelligent Systems. | Antonello Ceravola, Frank Joublin, Mark Dunn, Julian Eggert, Marcus Stein, Christian Goerick |
| 2005 | ICANN | Short Term Memory and Pattern Matching with Simple Echo State Networks. | Georg Fette, Julian Eggert |
| 2004 | IJCNN | Sparse coding and NMF. | Julian Eggert, Edgar Krner |
| 2004 | IJCNN | Transformation-invariant representation and NMF. | Julian Eggert, Heiko Wersing, Edgar Krner |
| 2003 | ICANN | Sparse Coding with Invariance Constraints. | Heiko Wersing, Julian Eggert, Edgar Krner |
| 2002 | ECAI | Non-negative matrix factorization extended by sparse code shrinkage and weight sparsification non-negative matrix factorization algorithms. | Botond Szatmry, Barnabs Pczos, Julian Eggert, Edgar Krner, Andrs Lrincz |
| 1997 | ICANN | Derivation of Pool Dynamics from Microscopic Neuronal Models. | Julian Eggert, J. Leo van Hemmen |