Julian Eggert - RankMe

162 papers A 4B 25C 18Misc 4Journal 47Unranked 63

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reactive Knowledge Representation and Asynchronous Reasoning. CoRR Simon Kohaut, Benedict Flade, Julian Eggert, Kristian Kersting, Devendra Singh Dhami
2026	J	`jnl`	Right in Time: Reactive Reasoning in Regulated Traffic Spaces. CoRR Simon Kohaut, Benedict Flade, Julian Eggert, Kristian Kersting, Devendra Singh Dhami
2025	J	`jnl`	A Factorized Probabilistic Model of the Semantics of Vague Temporal Adverbials Relative to Different Event Types. CoRR Svenja Kenneweg, Jörg Deigmöller, Julian Eggert, Philipp Cimiano
2025	B	`conf`	A Factorized Probabilistic Model of the Semantics of Vague Temporal Adverbials Relative to Different Events. CogSci Svenja Kenneweg, Joerg Deigmoeller, Julian Eggert, Philipp Cimiano
2025	J	`jnl`	A Grounded Memory System For Smart Personal Assistants. CoRR Felix Ocker, Jörg Deigmöller, Pavel Smirnov, Julian Eggert
2025	J	`jnl`	CycliST: A Video Language Model Benchmark for Reasoning on Cyclical State Transitions. CoRR Simon Kohaut, Daniel Ochs, Shun Zhang, Benedict Flade, Julian Eggert, Kristian Kersting, Devendra Singh Dhami
2025	J	`jnl`	Probabilistic Mission Design for Neuro-Symbolic Unmanned Aircraft Systems. IEEE Trans. Intell. Transp. Syst. Simon Kohaut, Benedict Flade, Daniel Ochs, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
2025	J	`jnl`	Probabilistic Mission Design in Neuro-Symbolic Systems. CoRR Simon Kohaut, Benedict Flade, Daniel Ochs, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
2025	—	`conf`	Question Answering over Linked Data with Vague Temporal Adverbials. IC3K (KEOD/KMIS) David Maria Schmidt, Svenja Kenneweg, Julian Eggert, Jörg Deigmöller, Philipp Cimiano
2025	J	`jnl`	TRAVELER: A Benchmark for Evaluating Temporal Reasoning across Vague, Implicit and Explicit References. CoRR Svenja Kenneweg, Jörg Deigmöller, Philipp Cimiano, Julian Eggert
2025	J	`jnl`	The Constitutional Controller: Doubt-Calibrated Steering of Compliant Agents. CoRR Simon Kohaut, Felix Divo, Navid Hamid, Benedict Flade, Julian Eggert, Devendra Singh Dhami, Kristian Kersting
2025	A	`conf`	The Constitutional Filter: Bayesian Estimation of Compliant Agents. IROS Simon Kohaut, Felix Divo, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
2024	C	`conf`	Benchmarking the Ability of Large Language Models to Reason About Event Sets. KEOD Svenja Kenneweg, Jörg Deigmöller, Philipp Cimiano, Julian Eggert
2024	J	`jnl`	Error Decomposition for Hybrid Localization Systems. CoRR Benedict Flade, Simon Kohaut, Julian Eggert
2024	J	`jnl`	Hybrid Many-Objective Optimization in Probabilistic Mission Design for Compliant and Effective UAV Routing. CoRR Simon Kohaut, Nikolas Hohmann, Sebastian Brulin, Benedict Flade, Julian Eggert, Markus Olhofer, Jürgen Adamy, Devendra Singh Dhami, Kristian Kersting
2024	J	`jnl`	Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Program. CoRR Simon Kohaut, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
2024	—	`conf`	Reducing Warning Errors in Driver Support with Personalized Risk Maps. ICVES Tim Puphal, Ryohei Hirano, Takayuki Kawabuchi, Akihito Kimata, Julian Eggert
2024	J	`jnl`	Reducing Warning Errors in Driver Support with Personalized Risk Maps. CoRR Tim Puphal, Ryohei Hirano, Takayuki Kawabuchi, Akihito Kimata, Julian Eggert
2024	—	`conf`	StaR Maps: Unveiling Uncertainty in Geospatial Relations. ITSC Benedict Flade, Simon Kohaut, Julian Eggert, Devendra Singh Dhami, Kristian Kersting
2024	J	`jnl`	StaR Maps: Unveiling Uncertainty in Geospatial Relations. CoRR Simon Kohaut, Benedict Flade, Julian Eggert, Devendra Singh Dhami, Kristian Kersting
2024	J	`jnl`	The Constitutional Filter. CoRR Simon Kohaut, Felix Divo, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
2024	J	`jnl`	Towards Probabilistic Clearance, Explanation and Optimization. CoRR Simon Kohaut, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
2024	J	`jnl`	Tulip Agent - Enabling LLM-Based Agents to Solve Tasks Using Large Tool Libraries. CoRR Felix Ocker, Daniel Tanneberg, Julian Eggert, Michael Gienger
2023	J	`jnl`	A Glimpse in ChatGPT Capabilities and its impact for AI research. CoRR Frank Joublin, Antonello Ceravola, Joerg Deigmoeller, Michael Gienger, Mathias Franzius, Julian Eggert
2023	—	`conf`	A User Interface for Sense-making of the Reasoning Process while Interacting with Robots. CHI Extended Abstracts Chao Wang, Joerg Deigmoeller, Pengcheng An, Julian Eggert
2023	J	`jnl`	Comfortable Priority Handling with Predictive Velocity Optimization for Intersection Crossings. CoRR Tim Puphal, Malte Probst, Misa Komuro, Yiyang Li, Julian Eggert
2023	J	`jnl`	Continuous Risk Measures for Driving Support. CoRR Julian Eggert, Tim Puphal
2023	—	`conf`	Exploring Large Language Models as a Source of Common-Sense Knowledge for Robots. ISWC (Posters/Demos/Industry) Felix Ocker, Joerg Deigmoeller, Julian Eggert
2023	J	`jnl`	Exploring Large Language Models as a Source of Common-Sense Knowledge for Robots. CoRR Felix Ocker, Jörg Deigmöller, Julian Eggert
2023	—	`conf`	How do Drivers Take a Curve? The Comfort Factor Model (CFM). ITSC Julian Eggert, Karsten Kreutz, Lina Gaumann, Jürgen Adamy
2023	J	`jnl`	Importance Filtering with Risk Models for Complex Driving Situations. CoRR Tim Puphal, Raphael Wenzel, Benedict Flade, Malte Probst, Julian Eggert
2023	J	`jnl`	Intersection Warning System for Occlusion Risks using Relational Local Dynamic Maps. CoRR Florian Damerow, Yuda Li, Tim Puphal, Benedict Flade, Julian Eggert
2023	J	`jnl`	Introducing Risk Shadowing For Decisive and Comfortable Behavior Planning. CoRR Tim Puphal, Julian Eggert
2023	—	`conf`	Introducing Risk Shadowing for Decisive and Comfortable Behavior Planning. ITSC Tim Puphal, Julian Eggert
2023	C	`conf`	Memory Net: Generalizable Common-Sense Reasoning over Real-World Actions and Objects. KEOD Julian Eggert, Joerg Deigmoeller, Pavel Smirnov, Johane Takeuchi, Andreas Richter
2023	—	`conf`	Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Programs. ITSC Simon Kohaut, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
2023	J	`jnl`	Online and Predictive Warning System for Forced Lane Changes using Risk Maps. CoRR Tim Puphal, Benedict Flade, Malte Probst, Volker Willert, Jürgen Adamy, Julian Eggert
2023	J	`jnl`	Optimization of Velocity Ramps with Survival Analysis for Intersection Merge-Ins. CoRR Tim Puphal, Malte Probst, Yiyang Li, Yosuke Sakamoto, Julian Eggert
2023	J	`jnl`	Proactive Risk Navigation System for Real-World Urban Intersections. CoRR Tim Puphal, Benedict Flade, Daan de Geus, Julian Eggert
2023	J	`jnl`	Probabilistic Uncertainty-Aware Risk Spot Detector for Naturalistic Driving. CoRR Tim Puphal, Malte Probst, Julian Eggert
2022	—	`conf`	Extraction of Common Physical Properties of Everyday Objects from Structured Sources. NLPIR Viktor Losing, Julian Eggert
2022	C	`conf`	Fast online parameter estimation of the Intelligent Driver Model for trajectory prediction. IV Karsten Kreutz, Julian Eggert
2022	—	`conf`	Graph Based Pattern Classification for NLU and Slot Filling: Approach and Analysis. NLPIR Julian Eggert, Johane Takeuchi
2022	J	`jnl`	Online and Predictive Warning System for Forced Lane Changes Using Risk Maps. IEEE Trans. Intell. Veh. Tim Puphal, Benedict Flade, Malte Probst, Volker Willert, Jürgen Adamy, Julian Eggert
2022	—	`conf`	Robustifying Car-Following Models with Explicit Reaction Times. ITSC Karsten Kreutz, Julian Eggert
2022	C	`conf`	Situational Question Answering over Commonsense Knowledge Using Memory Nets. IC3K Joerg Deigmoeller, Pavel Smirnov, Julian Eggert, Chao Wang, Johane Takeuchi
2022	—	`conf`	Situational Question Answering using Memory Nets. KDIR Joerg Deigmoeller, Pavel Smirnov, Viktor Losing, Chao Wang, Johane Takeuchi, Julian Eggert
2021	—	`conf`	Analysis of the Generalized Intelligent Driver Model (GIDM) for Uncontrolled Intersections. ITSC Karsten Kreutz, Julian Eggert
2021	C	`conf`	Analysis of the Generalized Intelligent Driver Model (GIDM) for merging situations. IV Karsten Kreutz, Julian Eggert
2021	C	`conf`	Asymmetry-based Behavior Planning for Cooperation at Shared Traffic Spaces. IV Raphael Wenzel, Malte Probst, Tim Puphal, Thomas H. Weisswange, Julian Eggert
2021	—	`conf`	Automated Driving in Complex Real-World Scenarios using a Scalable Risk-Based Behavior Generation Framework. ITSC Malte Probst, Raphael Wenzel, Tim Puphal, Misa Komuro, Thomas H. Weisswange, Nico Steinhardt, Bram Bolder, Benedict Flade, Yosuke Sakamoto, Yuji Yasui, Julian Eggert
2021	—	`conf`	Error Decomposition for Hybrid Localization Systems. ITSC Benedict Flade, Simon Kohaut, Julian Eggert
2020	—	`conf`	Proactive Risk Navigation System for Real-World Urban Intersections. ITSC Tim Puphal, Benedict Flade, Daan de Geus, Julian Eggert
2020	—	`conf`	Probabilistic Unified Risk Estimation: General Survival Theory (GST) and TTX Risk Measures. ITSC Julian Eggert
2020	—	`conf`	Time-Course Sensitive Collision Probability Model for Risk Estimation. ITSC Fabian Müller, Julian Eggert
2020	J	`jnl`	Vision-Enhanced Low-Cost Localization in Crowdsourced Maps. IEEE Intell. Transp. Syst. Mag. Benedict Flade, Axel Koppert, Gorka Vélez, Anweshan Das, David Bétaille, Gijs Dubbelman, Oihana Otaegui, Julian Eggert
2019	—	`conf`	A Foresighted Driver Model derived from Integral Expected Risk. ITSC Julian Eggert, Fabian Müller
2019	C	`conf`	Action Representation for Intelligent Agents Using Memory Nets. IC3K Julian Eggert, Jörg Deigmöller, Lydia Fischer, Andreas Richter
2019	—	`conf`	Comfortable Priority Handling with Predictive Velocity Optimization for Intersection Crossings. ITSC Tim Puphal, Malte Probst, Misa Komuro, Yiyang Li, Julian Eggert
2019	C	`conf`	Memory Nets: Knowledge Representation for Intelligent Agent Operations in Real World. KEOD Julian Eggert, Jörg Deigmöller, Lydia Fischer, Andreas Richter
2019	J	`jnl`	Probabilistic Uncertainty-Aware Risk Spot Detector for Naturalistic Driving. IEEE Trans. Intell. Veh. Tim Puphal, Malte Probst, Julian Eggert
2018	J	`jnl`	Intersection Warning System for Occlusion Risks Using Relational Local Dynamic Maps. IEEE Intell. Transp. Syst. Mag. Florian Damerow, Tim Puphal, Benedict Flade, Yuda Li, Julian Eggert
2018	—	`conf`	Lane Detection Based Camera to Map Alignment Using Open-Source Map Data. ITSC Benedict Flade, Marcos Nieto, Gorka Vélez, Julian Eggert
2018	B	`conf`	Optimization of Velocity Ramps with Survival Analysis for Intersection Merge-Ins. Intelligent Vehicles Symposium Tim Puphal, Malte Probst, Yiyang Li, Yosuke Sakamoto, Julian Eggert
2018	J	`jnl`	Risk estimation for driving support and behavior planning in intelligent vehicles. Autom. Julian Eggert
2018	—	`conf`	Which tool to use? Grounded reasoning in everyday environments with assistant robots. CogRob@KR Lydia Fischer, Stephan Hasler, Joerg Deigmoeller, Thomas Schnuerer, Michael Redert, Ulrike Pluntke, Katrin Nagel, Chris Senzel, Joern Ploennigs, Andreas Richter, Julian Eggert
2017	—	`conf`	Behavior-based relative self-localization in intersection scenarios. ITSC Benedict Flade, Edoardo Casapietra, Christian Goerick, Julian Eggert
2017	—	`conf`	Risk-based driver assistance for approaching intersections of limited visibility. ICVES Florian Damerow, Tim Puphal, Yuda Li, Julian Eggert
2016	—	`conf`	Camera to map alignment for accurate low-cost lane-level scene interpretation. ITSC Gaoya Cao, Florian Damerow, Benedict Flade, Markus Helmling, Julian Eggert
2016	B	`conf`	Extensions for the Foresighted Driver Model: Tactical lane change, overtaking and continuous lateral control. Intelligent Vehicles Symposium Florian Damerow, Benedict Flade, Julian Eggert
2016	B	`conf`	Probabilistic situation assessment framework for multiple, interacting traffic participants in generic traffic scenes. Intelligent Vehicles Symposium Stefan Klingelschmitt, Florian Damerow, Volker Willert, Julian Eggert
2016	—	`conf`	Probabilistic, discriminative maneuver estimation in generic traffic scenes using pairwise probability coupling. ITSC Stefan Klingelschmitt, Volker Willert, Julian Eggert
2016	—	`conf`	Solomon curve 2020: Relating microscopic risk models with accident statistics. ITSC Julian Eggert
2016	—	`conf`	Spatio-temporal trajectory similarity and its application to predicting lack of interaction in traffic situations. ITSC Florian Damerow, Stefan Klingelschmitt, Julian Eggert
2016	—	`conf`	Stereo Visual Odometry Without Temporal Filtering. GCPR Joerg Deigmoeller, Julian Eggert
2016	J	`jnl`	Toward Self-Referential Autonomous Learning of Object and Situation Models. Cogn. Comput. Florian Damerow, Andreas Knoblauch, Ursula Körner, Julian Eggert, Edgar Körner
2015	B	`conf`	A multi-block-matching approach for stereo. Intelligent Vehicles Symposium Nils Einecke, Julian Eggert
2015	B	`conf`	Balancing risk against utility: Behavior planning using predictive risk maps. Intelligent Vehicles Symposium Florian Damerow, Julian Eggert
2015	—	`conf`	Complex Lane Change Behavior in the Foresighted Driver Model. ITSC Julian Eggert, Florian Damerow
2015	B	`conf`	Managing the complexity of inner-city scenes: An efficient situation hypotheses selection scheme. Intelligent Vehicles Symposium Stefan Klingelschmitt, Florian Damerow, Julian Eggert
2015	—	`conf`	Risk-Aversive Behavior Planning under Multiple Situations with Uncertainty. ITSC Florian Damerow, Julian Eggert
2015	B	`conf`	The Foresighted Driver Model. Intelligent Vehicles Symposium Julian Eggert, Florian Damerow, Stefan Klingelschmitt
2015	J	`jnl`	Topological Sparse Learning of Dynamic Form Patterns. Neural Comput. Thomas Guthier, Volker Willert, Julian Eggert
2015	—	`conf`	Using Context Information and Probabilistic Classification for Making Extended Long-Term Trajectory Predictions. ITSC Stefan Klingelschmitt, Julian Eggert
2014	B	`conf`	Beyond histograms: why learned structure-preserving descriptors outperform HOG. ESANN Thomas Guthier, Volker Willert, Julian Eggert
2014	B	`conf`	Block-matching stereo with relaxed fronto-parallel assumption. Intelligent Vehicles Symposium Nils Einecke, Julian Eggert
2014	B	`conf`	Combining behavior and situation information for reliably estimating multiple intentions. Intelligent Vehicles Symposium Stefan Klingelschmitt, Matthias Platho, Horst-Michael Groß, Volker Willert, Julian Eggert
2014	J	`jnl`	Efficient occlusive components analysis. J. Mach. Learn. Res. Marc Henniges, Richard E. Turner, Maneesh Sahani, Julian Eggert, Jörg Lücke
2014	—	`conf`	Monocular Rear Approach Indicator for Motorcycles. VISAPP (3) Joerg Deigmoeller, Herbert Janssen, Oliver Fuchs, Julian Eggert
2014	—	`conf`	Predictive risk estimation for intelligent ADAS functions. ITSC Julian Eggert
2014	—	`conf`	Predictive risk maps. ITSC Florian Damerow, Julian Eggert
2014	J	`jnl`	Sparse coding of human motion trajectories with non-negative matrix factorization. Neurocomputing Christian Vollmer, Sven Hellbach, Julian Eggert, Horst-Michael Gross
2014	C	`conf`	sNN-LDS: Spatio-temporal Non-negative Sparse Coding for Human Action Recognition. ICANN Thomas Guthier, Adrian Sosic, Volker Willert, Julian Eggert
2013	—	`conf`	Anisotropic Median Filtering for Stereo Disparity Map Refinement. VISAPP (2) Nils Einecke, Julian Eggert
2013	C	`conf`	Learning Features for Activity Recognition with Shift-Invariant Sparse Coding. ICANN Christian Vollmer, Horst-Michael Gross, Julian Eggert
2013	B	`conf`	Learning associative spatiotemporal features with non-negative sparse coding. ESANN Thomas Guthier, Steve Gerges, Volker Willert, Julian Eggert
2013	—	`conf`	Learning driving situations and behavior models from data. ITSC Matthias Platho, Horst-Michael Gross, Julian Eggert
2013	B	`conf`	Non-negative sparse coding for motion extraction. IJCNN Thomas Guthier, Volker Willert, Andrea Schnall, Karel Kreuter, Julian Eggert
2013	B	`conf`	Predicting Velocity Profiles of Road Users at Intersections Using Configurations. Intelligent Vehicles Symposium Matthias Platho, Horst-Michael Groß, Julian Eggert
2013	B	`conf`	Stereo image warping for improved depth estimation of road surfaces. Intelligent Vehicles Symposium Nils Einecke, Julian Eggert
2012	—	`conf`	Deciding what to inspect first: Incremental situation assessment based on information gain. ITSC Matthias Platho, Julian Eggert
2012	—	`conf`	Finding a Tradeoff between Compression and Loss in Motion Compensated Video Coding. SIGMAP Thomas Guthier, Adrian Sosic, Volker Willert, Julian Eggert
2012	—	`conf`	Generating Motion Trajectories by Sparse Activation of Learned Motion Primitives. ICANN (1) Christian Vollmer, Julian Eggert, Horst-Michael Groß
2012	Misc	`conf`	Modeling Human Motion Trajectories by Sparse Activation of Motion Primitives Learned from Unpartitioned Data. KI Christian Vollmer, Julian Eggert, Horst-Michael Gross
2012	—	`conf`	Ternary Sparse Coding. LVA/ICA Georgios Exarchakis, Marc Henniges, Julian Eggert, Jörg Lücke
2012	—	`conf`	Traffic situation assessment by recognizing interrelated road users. ITSC Matthias Platho, Horst-Michael Gross, Julian Eggert
2012	B	`conf`	Unsupervised learning of motion patterns. ESANN Thomas Guthier, Julian Eggert, Volker Willert
2011	J	`jnl`	Dynamic, Task-Related and Demand-Driven Scene Representation. Cogn. Comput. Sven Rebhan, Julian Eggert
2011	J	`jnl`	Modeling short-term adaptation processes of visual motion detectors. Neurocomputing Volker Willert, Julian Eggert
2010	Misc	`conf`	A Two-Stage Correlation Method for Stereoscopic Depth Estimation. DICTA Nils Einecke, Julian Eggert
2010	B	`conf`	A probabilistic method for hierarchical 2D-3D tracking. IJCNN Chen Zhang, Julian Eggert
2010	B	`conf`	Adaptive velocity tuning for visual motion estimation. ESANN Volker Willert, Julian Eggert
2010	—	`conf`	Belief Propagation in Spatiotemporal Graph Topologies for the Analysis of Image Sequences. VISAPP (2) Volker Willert, Julian Eggert
2010	—	`conf`	Binary Sparse Coding. LVA/ICA Marc Henniges, Gervasio Puertas, Jörg Bornschein, Julian Eggert, Jörg Lücke
2010	—	`conf`	Direct Surface Fitting. VISAPP (2) Nils Einecke, Sven Rebhan, Julian Eggert, Volker Willert
2010	Misc	`conf`	Evaluation of Direct Plane Fitting for Depth and Parameter Estimation. DICTA Nils Einecke, Julian Eggert
2010	J	`jnl`	Expectation Truncation and the Benefits of Preselection In Training Generative Models. J. Mach. Learn. Res. Jörg Lücke, Julian Eggert
2010	B	`conf`	Exploiting hierarchical prediction structures for mixed 2d-3d tracking. ESANN Chen Zhang, Julian Eggert
2010	B	`conf`	Figure-ground Segmentation using Metrics Adaptation in Level Set Methods. ESANN Alexander Denecke, Irene Ayllón Clemente, Heiko Wersing, Julian Eggert, Jochen Jakob Steil
2010	—	`conf`	Layered Motion Segmentation with a Competitive Recurrent Network. ICANN (2) Julian Eggert, Joerg Deigmoeller, Volker Willert
2010	—	`conf`	System approach for multi-purpose representations of traffic scene elements. ITSC Jens Schmüdderich, Nils Einecke, Stephan Hasler, Alexander Gepperth, Bram Bolder, Robert Kastner, Mathias Franzius, Sven Rebhan, Benjamin Dittes, Heiko Wersing, Julian Eggert, Jannik Fritsch, Christian Goerick
2009	—	`conf`	A stochastic dynamical system for optical flow estimation. ICCV Workshops Volker Willert, Julian Eggert
2009	—	`ch.`	Approaches and Challenges for Cognitive Vision Systems. Creating Brain-Like Intelligence Julian Eggert, Heiko Wersing
2009	—	`conf`	Basis Decomposition of Motion Trajectories Using Spatio-temporal NMF. ICANN (2) Sven Hellbach, Julian Eggert, Edgar Körner, Horst-Michael Gross
2009	B	`conf`	Child-friendly divorcing: Incremental hierarchy learning in Bayesian networks. IJCNN Florian Röhrbein, Julian Eggert, Edgar Körner
2009	C	`conf`	Demand-Driven Visual Information Acquisition. ICVS Sven Rebhan, Andreas Richter, Julian Eggert
2009	J	`jnl`	Experimental Evaluation of Approaches for Long Term Prediction of Human Movement Trajectories. Aust. J. Intell. Inf. Process. Syst. Sven Hellbach, Julian Eggert, Edgar Körner, Horst-Michael Gross
2009	B	`conf`	Level-set segmentation with contour based object representation. IJCNN Daniel Weiler, Florian Röhrbein, Julian Eggert
2009	Misc	`conf`	Prediction and Classification of Motion Trajectories Using Spatio-Temporal NMF. KI Julian Eggert, Sven Hellbach, Alexander Kolarow, Edgar Körner, Horst-Michael Gross
2009	C	`conf`	Robust Tracking by Means of Template Adaptation with Drift Correction. ICVS Chen Zhang, Julian Eggert, Nils Einecke
2009	—	`conf`	Tracking with Multiple Prediction Models. ICANN (2) Chen Zhang, Julian Eggert
2008	—	`conf`	A Probabilistic Prediction Method for Object Contour Tracking. ICANN (1) Daniel Weiler, Volker Willert, Julian Eggert
2008	C	`conf`	Attention Modulation Using Short- and Long-Term Knowledge. ICVS Sven Rebhan, Florian Röhrbein, Julian Eggert, Edgar Körner
2008	—	`conf`	Echo State Networks for Online Prediction of Movement Data - Comparing Investigations. ICANN (1) Sven Hellbach, Sören Strauss, Julian Eggert, Edgar Körner, Horst-Michael Gross
2008	J	`jnl`	Estimating Object Proper Motion Using Optical Flow, Kinematics, and Depth Information. IEEE Trans. Syst. Man Cybern. Part B Jens Schmüdderich, Volker Willert, Julian Eggert, Sven Rebhan, Christian Goerick, Gerhard Sagerer, Edgar Körner
2008	—	`conf`	Incremental Learning in the Non-negative Matrix Factorization. ICONIP (2) Sven Rebhan, Waqas Sharif, Julian Eggert
2008	C	`conf`	Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint. ICMLA Volker Willert, Julian Eggert, Marc Toussaint, Edgar Körner
2008	A	`conf`	Probabilistic Optical Flow Estimation for Large Pixel Displacements Utilizing Egomotion Flow Compensation. BMVC Volker Willert, Jens Schmüdderich, Julian Eggert
2008	—	`conf`	Time Series Analysis for Long Term Prediction of Human Movement Trajectories. ICONIP (2) Sven Hellbach, Julian Eggert, Edgar Körner, Horst-Michael Gross
2008	—	`conf`	Tracking with Depth-from-Size. ICONIP (1) Chen Zhang, Volker Willert, Julian Eggert
2007	C	`conf`	A Cortex-Inspired Neural-Symbolic Network for Knowledge Representation. NeSy Florian Röhrbein, Julian Eggert, Edgar Körner
2007	B	`conf`	A Probabilistic Method for Motion Pattern Segmentation. IJCNN Daniel Weiler, Volker Willert, Julian Eggert, Edgar Körner
2007	—	`conf`	Multi-dimensional Histogram-Based Image Segmentation. ICONIP (1) Daniel Weiler, Julian Eggert
2007	—	`conf`	Sparse and Transformation-Invariant Hierarchical NMF. ICANN (1) Sven Rebhan, Julian Eggert, Horst-Michael Groß, Edgar Körner
2007	—	`conf`	Template Matching for Large Transformations. ICANN (2) Julian Eggert, Chen Zhang, Edgar Körner
2007	C	`conf`	Uncertainty optimization for robust dynamic optical flow estimation. ICMLA Volker Willert, Marc Toussaint, Julian Eggert, Edgar Körner
2007	—	`conf`	Walking Appearance Manifolds without Falling Off. ICONIP (1) Nils Einecke, Julian Eggert, Sven Hellbach, Edgar Körner
2006	J	`jnl`	A Probabilistic Model for Binaural Sound Localization. IEEE Trans. Syst. Man Cybern. Part B Volker Willert, Julian Eggert, Jürgen Adamy, Raphael Stahl, Edgar Körner
2006	A	`conf`	Integrated Research and Development Environment for Real-Time Distributed Embodied Intelligent Systems. IROS Antonello Ceravola, Frank Joublin, Mark Dunn, Julian Eggert, Marcus Stein, Christian Goerick
2006	J	`jnl`	Non-Gaussian velocity distributions integrated over space, time, and scales. IEEE Trans. Syst. Man Cybern. Part B Volker Willert, Julian Eggert, Jürgen Adamy, Edgar Körner
2005	J	`jnl`	Learning viewpoint invariant object representations using a temporal coherence principle. Biol. Cybern. Wolfgang Einhäuser, Jörg F. Hipp, Julian Eggert, Edgar Körner, Peter König
2005	—	`conf`	Probabilistic Color Optical Flow. DAGM-Symposium Volker Willert, Julian Eggert, Sebastian Clever, Edgar Körner
2005	—	`conf`	Short Term Memory and Pattern Matching with Simple Echo State Networks. ICANN (1) Georg Fette, Julian Eggert
2004	—	`conf`	Building a Motion Resolution Pyramid by Combining Velocity Distributions. DAGM-Symposium Julian Eggert, Volker Willert, Edgar Körner
2004	B	`conf`	Sparse coding and NMF. IJCNN Julian Eggert, Edgar Körner
2004	B	`conf`	Transformation-invariant representation and NMF. IJCNN Julian Eggert, Heiko Wersing, Edgar Körner
2003	C	`conf`	Sparse Coding with Invariance Constraints. ICANN Heiko Wersing, Julian Eggert, Edgar Körner
2002	A	`conf`	Non-negative matrix factorization extended by sparse code shrinkage and weight sparsification non-negative matrix factorization algorithms. ECAI Botond Szatmáry, Barnabás Póczos, Julian Eggert, Edgar Körner, András Lörincz
2001	—	`conf`	Exact differential equation population dynamics for integrate-and-fire neurons. NIPS Julian Eggert, Berthold Bäuml
2001	J	`jnl`	Fast dynamic organization without short-term synaptic plasticity: A new view on Hebb's dynamical assemblies. Neurocomputing Julian Eggert, Berthold Bäuml, J. Leo van Hemmen
2001	J	`jnl`	Modeling Neuronal Assemblies: Theory and Implementation. Neural Comput. Julian Eggert, J. Leo van Hemmen
1997	C	`conf`	Derivation of Pool Dynamics from Microscopic Neuronal Models. ICANN Julian Eggert, J. Leo van Hemmen