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2020 – today
- 2024
- [i15]Simon Kohaut, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting:
Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Program. CoRR abs/2406.03454 (2024) - [i14]Simon Kohaut, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting:
Towards Probabilistic Clearance, Explanation and Optimization. CoRR abs/2406.15088 (2024) - [i13]Felix Ocker, Daniel Tanneberg, Julian Eggert, Michael Gienger:
Tulip Agent - Enabling LLM-Based Agents to Solve Tasks Using Large Tool Libraries. CoRR abs/2407.21778 (2024) - [i12]Tim Puphal, Ryohei Hirano, Takayuki Kawabuchi, Akihito Kimata, Julian Eggert:
Reducing Warning Errors in Driver Support with Personalized Risk Maps. CoRR abs/2410.02148 (2024) - 2023
- [c106]Chao Wang
, Joerg Deigmoeller
A User Interface for Sense-making of the Reasoning Process while Interacting with Robots. CHI Extended Abstracts 2023: 16:1-16:7 - [c105]Julian Eggert, Joerg Deigmoeller, Pavel Smirnov, Johane Takeuchi, Andreas Richter:
Memory Net: Generalizable Common-Sense Reasoning over Real-World Actions and Objects. KEOD 2023: 182-189 - [c104]Tim Puphal, Julian Eggert:
Introducing Risk Shadowing for Decisive and Comfortable Behavior Planning. ITSC 2023: 355-361 - [c103]Simon Kohaut, Benedict Flade
Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Programs. ITSC 2023: 1506-1513 - [c102]Julian Eggert, Karsten Kreutz, Lina Gaumann, Jürgen Adamy:
How do Drivers Take a Curve? The Comfort Factor Model (CFM). ITSC 2023: 2598-2604 - [c101]Felix Ocker, Joerg Deigmoeller, Julian Eggert:
Exploring Large Language Models as a Source of Common-Sense Knowledge for Robots. ISWC (Posters/Demos/Industry) 2023 - [i11]Tim Puphal, Raphael Wenzel, Benedict Flade, Malte Probst, Julian Eggert:
Importance Filtering with Risk Models for Complex Driving Situations. CoRR abs/2303.06935 (2023) - [i10]Tim Puphal, Malte Probst, Yiyang Li, Yosuke Sakamoto, Julian Eggert:
Optimization of Velocity Ramps with Survival Analysis for Intersection Merge-Ins. CoRR abs/2303.07047 (2023) - [i9]Tim Puphal, Malte Probst, Julian Eggert:
Probabilistic Uncertainty-Aware Risk Spot Detector for Naturalistic Driving. CoRR abs/2303.07181 (2023) - [i8]Florian Damerow, Yuda Li, Tim Puphal, Benedict Flade, Julian Eggert:
Intersection Warning System for Occlusion Risks using Relational Local Dynamic Maps. CoRR abs/2303.07227 (2023) - [i7]Tim Puphal, Benedict Flade, Daan de Geus, Julian Eggert:
Proactive Risk Navigation System for Real-World Urban Intersections. CoRR abs/2303.07886 (2023) - [i6]Tim Puphal, Malte Probst, Misa Komuro, Yiyang Li, Julian Eggert:
Comfortable Priority Handling with Predictive Velocity Optimization for Intersection Crossings. CoRR abs/2303.07936 (2023) - [i5]Julian Eggert, Tim Puphal:
Continuous Risk Measures for Driving Support. CoRR abs/2303.08007 (2023) - [i4]Tim Puphal, Benedict Flade, Malte Probst, Volker Willert, Jürgen Adamy, Julian Eggert:
Online and Predictive Warning System for Forced Lane Changes using Risk Maps. CoRR abs/2303.08458 (2023) - [i3]Frank Joublin, Antonello Ceravola, Joerg Deigmoeller, Michael Gienger, Mathias Franzius, Julian Eggert:
A Glimpse in ChatGPT Capabilities and its impact for AI research. CoRR abs/2305.06087 (2023) - [i2]Tim Puphal, Julian Eggert:
Introducing Risk Shadowing For Decisive and Comfortable Behavior Planning. CoRR abs/2307.10714 (2023) - [i1]Felix Ocker, Jörg Deigmöller, Julian Eggert:
Exploring Large Language Models as a Source of Common-Sense Knowledge for Robots. CoRR abs/2311.08412 (2023) - 2022
- [j19]Tim Puphal
Online and Predictive Warning System for Forced Lane Changes Using Risk Maps. IEEE Trans. Intell. Veh. 7(3): 616-626 (2022) - [c100]Joerg Deigmoeller, Pavel Smirnov, Viktor Losing, Chao Wang, Johane Takeuchi, Julian Eggert:
Situational Question Answering using Memory Nets. KDIR 2022: 169-176 - [c99]Joerg Deigmoeller, Pavel Smirnov, Julian Eggert, Chao Wang, Johane Takeuchi:
Situational Question Answering over Commonsense Knowledge Using Memory Nets. IC3K 2022: 175-194 - [c98]Karsten Kreutz, Julian Eggert:
Robustifying Car-Following Models with Explicit Reaction Times. ITSC 2022: 2272-2279 - [c97]Karsten Kreutz, Julian Eggert:
Fast online parameter estimation of the Intelligent Driver Model for trajectory prediction. IV 2022: 758-765 - [c96]Julian Eggert
Graph Based Pattern Classification for NLU and Slot Filling: Approach and Analysis. NLPIR 2022: 65-70 - [c95]Viktor Losing
Extraction of Common Physical Properties of Everyday Objects from Structured Sources. NLPIR 2022: 164-168 - 2021
- [c94]Benedict Flade
Error Decomposition for Hybrid Localization Systems. ITSC 2021: 149-156 - [c93]Malte Probst, Raphael Wenzel, Tim Puphal, Misa Komuro, Thomas H. Weisswange, Nico Steinhardt, Bram Bolder, Benedict Flade
Automated Driving in Complex Real-World Scenarios using a Scalable Risk-Based Behavior Generation Framework. ITSC 2021: 629-636 - [c92]Karsten Kreutz, Julian Eggert:
Analysis of the Generalized Intelligent Driver Model (GIDM) for Uncontrolled Intersections. ITSC 2021: 3223-3230 - [c91]Karsten Kreutz, Julian Eggert:
Analysis of the Generalized Intelligent Driver Model (GIDM) for merging situations. IV 2021: 34-41 - [c90]Raphael Wenzel, Malte Probst, Tim Puphal, Thomas H. Weisswange, Julian Eggert:
Asymmetry-based Behavior Planning for Cooperation at Shared Traffic Spaces. IV 2021: 1008-1015 - 2020
- [j18]Benedict Flade
Vision-Enhanced Low-Cost Localization in Crowdsourced Maps. IEEE Intell. Transp. Syst. Mag. 12(3): 70-80 (2020) - [c89]Julian Eggert:
Probabilistic Unified Risk Estimation: General Survival Theory (GST) and TTX Risk Measures. ITSC 2020: 1-8 - [c88]Fabian Müller, Julian Eggert:
Time-Course Sensitive Collision Probability Model for Risk Estimation. ITSC 2020: 1-8 - [c87]Tim Puphal, Benedict Flade
Proactive Risk Navigation System for Real-World Urban Intersections. ITSC 2020: 1-8
2010 – 2019
- 2019
- [j17]Tim Puphal
Probabilistic Uncertainty-Aware Risk Spot Detector for Naturalistic Driving. IEEE Trans. Intell. Veh. 4(3): 406-415 (2019) - [c86]Julian Eggert, Jörg Deigmöller, Lydia Fischer, Andreas Richter:
Memory Nets: Knowledge Representation for Intelligent Agent Operations in Real World. KEOD 2019: 115-126 - [c85]Julian Eggert, Jörg Deigmöller, Lydia Fischer, Andreas Richter:
Action Representation for Intelligent Agents Using Memory Nets. IC3K 2019: 260-282 - [c84]Julian Eggert, Fabian Müller:
A Foresighted Driver Model derived from Integral Expected Risk. ITSC 2019: 1223-1230 - [c83]Tim Puphal, Malte Probst, Misa Komuro, Yiyang Li, Julian Eggert:
Comfortable Priority Handling with Predictive Velocity Optimization for Intersection Crossings. ITSC 2019: 2435-2442 - 2018
- [j16]Julian Eggert:
Risk estimation for driving support and behavior planning in intelligent vehicles. Autom. 66(2): 119-131 (2018) - [j15]Florian Damerow, Tim Puphal
Intersection Warning System for Occlusion Risks Using Relational Local Dynamic Maps. IEEE Intell. Transp. Syst. Mag. 10(4): 47-59 (2018) - [c82]Benedict Flade
Lane Detection Based Camera to Map Alignment Using Open-Source Map Data. ITSC 2018: 890-897 - [c81]Tim Puphal, Malte Probst, Yiyang Li, Yosuke Sakamoto, Julian Eggert:
Optimization of Velocity Ramps with Survival Analysis for Intersection Merge-Ins. Intelligent Vehicles Symposium 2018: 1704-1710 - [c80]Lydia Fischer, Stephan Hasler, Joerg Deigmoeller, Thomas Schnuerer, Michael Redert, Ulrike Pluntke, Katrin Nagel, Chris Senzel, Joern Ploennigs, Andreas Richter, Julian Eggert:
Which tool to use? Grounded reasoning in everyday environments with assistant robots. CogRob@KR 2018: 3-10 - 2017
- [c79]Florian Damerow, Tim Puphal, Yuda Li, Julian Eggert:
Risk-based driver assistance for approaching intersections of limited visibility. ICVES 2017: 178-184 - [c78]Benedict Flade
Behavior-based relative self-localization in intersection scenarios. ITSC 2017: 1-8 - 2016
- [j14]Florian Damerow, Andreas Knoblauch, Ursula Körner, Julian Eggert, Edgar Körner:
Toward Self-Referential Autonomous Learning of Object and Situation Models. Cogn. Comput. 8(4): 703-719 (2016) - [c77]Joerg Deigmoeller, Julian Eggert:
Stereo Visual Odometry Without Temporal Filtering. GCPR 2016: 166-175 - [c76]Gaoya Cao, Florian Damerow, Benedict Flade
Camera to map alignment for accurate low-cost lane-level scene interpretation. ITSC 2016: 498-504 - [c75]Stefan Klingelschmitt, Volker Willert, Julian Eggert:
Probabilistic, discriminative maneuver estimation in generic traffic scenes using pairwise probability coupling. ITSC 2016: 1269-1276 - [c74]Julian Eggert:
Solomon curve 2020: Relating microscopic risk models with accident statistics. ITSC 2016: 2293-2300 - [c73]Florian Damerow, Stefan Klingelschmitt, Julian Eggert:
Spatio-temporal trajectory similarity and its application to predicting lack of interaction in traffic situations. ITSC 2016: 2512-2519 - [c72]Florian Damerow, Benedict Flade
Extensions for the Foresighted Driver Model: Tactical lane change, overtaking and continuous lateral control. Intelligent Vehicles Symposium 2016: 186-193 - [c71]Stefan Klingelschmitt, Florian Damerow, Volker Willert, Julian Eggert:
Probabilistic situation assessment framework for multiple, interacting traffic participants in generic traffic scenes. Intelligent Vehicles Symposium 2016: 1141-1148 - 2015
- [j13]Thomas Guthier, Volker Willert, Julian Eggert:
Topological Sparse Learning of Dynamic Form Patterns. Neural Comput. 27(1): 42-73 (2015) - [c70]Florian Damerow, Julian Eggert:
Risk-Aversive Behavior Planning under Multiple Situations with Uncertainty. ITSC 2015: 656-663 - [c69]Stefan Klingelschmitt, Julian Eggert:
Using Context Information and Probabilistic Classification for Making Extended Long-Term Trajectory Predictions. ITSC 2015: 705-711 - [c68]Julian Eggert, Florian Damerow:
Complex Lane Change Behavior in the Foresighted Driver Model. ITSC 2015: 1747-1754 - [c67]Julian Eggert, Florian Damerow, Stefan Klingelschmitt:
The Foresighted Driver Model. Intelligent Vehicles Symposium 2015: 322-329 - [c66]Nils Einecke
A multi-block-matching approach for stereo. Intelligent Vehicles Symposium 2015: 585-592 - [c65]Florian Damerow, Julian Eggert:
Balancing risk against utility: Behavior planning using predictive risk maps. Intelligent Vehicles Symposium 2015: 857-864 - [c64]Stefan Klingelschmitt, Florian Damerow, Julian Eggert:
Managing the complexity of inner-city scenes: An efficient situation hypotheses selection scheme. Intelligent Vehicles Symposium 2015: 1232-1239 - 2014
- [j12]Christian Vollmer, Sven Hellbach, Julian Eggert, Horst-Michael Gross:
Sparse coding of human motion trajectories with non-negative matrix factorization. Neurocomputing 124: 22-32 (2014) - [j11]Marc Henniges, Richard E. Turner, Maneesh Sahani, Julian Eggert, Jörg Lücke:
Efficient occlusive components analysis. J. Mach. Learn. Res. 15(1): 2689-2722 (2014) - [c63]Thomas Guthier, Volker Willert, Julian Eggert:
Beyond histograms: why learned structure-preserving descriptors outperform HOG. ESANN 2014 - [c62]Thomas Guthier, Adrian Sosic, Volker Willert, Julian Eggert:
sNN-LDS: Spatio-temporal Non-negative Sparse Coding for Human Action Recognition. ICANN 2014: 185-192 - [c61]Florian Damerow, Julian Eggert:
Predictive risk maps. ITSC 2014: 703-710 - [c60]Julian Eggert:
Predictive risk estimation for intelligent ADAS functions. ITSC 2014: 711-718 - [c59]Stefan Klingelschmitt, Matthias Platho, Horst-Michael Groß, Volker Willert, Julian Eggert:
Combining behavior and situation information for reliably estimating multiple intentions. Intelligent Vehicles Symposium 2014: 388-393 - [c58]Nils Einecke
Block-matching stereo with relaxed fronto-parallel assumption. Intelligent Vehicles Symposium 2014: 700-705 - [c57]Joerg Deigmoeller, Herbert Janssen, Oliver Fuchs, Julian Eggert:
Monocular Rear Approach Indicator for Motorcycles. VISAPP (3) 2014: 474-480 - 2013
- [c56]Thomas Guthier, Steve Gerges, Volker Willert, Julian Eggert:
Learning associative spatiotemporal features with non-negative sparse coding. ESANN 2013 - [c55]Christian Vollmer, Horst-Michael Gross, Julian Eggert:
Learning Features for Activity Recognition with Shift-Invariant Sparse Coding. ICANN 2013: 367-374 - [c54]Thomas Guthier, Volker Willert, Andrea Schnall, Karel Kreuter
Non-negative sparse coding for motion extraction. IJCNN 2013: 1-8 - [c53]Matthias Platho, Horst-Michael Gross, Julian Eggert:
Learning driving situations and behavior models from data. ITSC 2013: 276-281 - [c52]Nils Einecke
Stereo image warping for improved depth estimation of road surfaces. Intelligent Vehicles Symposium 2013: 189-194 - [c51]Matthias Platho, Horst-Michael Groß, Julian Eggert:
Predicting Velocity Profiles of Road Users at Intersections Using Configurations. Intelligent Vehicles Symposium 2013: 945-951 - [c50]Nils Einecke, Julian Eggert:
Anisotropic Median Filtering for Stereo Disparity Map Refinement. VISAPP (2) 2013: 189-198 - 2012
- [c49]Thomas Guthier, Julian Eggert, Volker Willert:
Unsupervised learning of motion patterns. ESANN 2012 - [c48]Georgios Exarchakis
Ternary Sparse Coding. LVA/ICA 2012: 204-212 - [c47]Christian Vollmer, Julian Eggert, Horst-Michael Groß:
Generating Motion Trajectories by Sparse Activation of Learned Motion Primitives. ICANN (1) 2012: 637-644 - [c46]Matthias Platho, Julian Eggert:
Deciding what to inspect first: Incremental situation assessment based on information gain. ITSC 2012: 888-893 - [c45]Matthias Platho, Horst-Michael Gross, Julian Eggert:
Traffic situation assessment by recognizing interrelated road users. ITSC 2012: 1339-1344 - [c44]Christian Vollmer, Julian Eggert, Horst-Michael Gross:
Modeling Human Motion Trajectories by Sparse Activation of Motion Primitives Learned from Unpartitioned Data. KI 2012: 168-179 - [c43]Thomas Guthier, Adrian Sosic, Volker Willert, Julian Eggert:
Finding a Tradeoff between Compression and Loss in Motion Compensated Video Coding. SIGMAP 2012: 81-84 - 2011
- [j10]Sven Rebhan, Julian Eggert:
Dynamic, Task-Related and Demand-Driven Scene Representation. Cogn. Comput. 3(1): 124-145 (2011) - [j9]Volker Willert, Julian Eggert:
Modeling short-term adaptation processes of visual motion detectors. Neurocomputing 74(9): 1329-1339 (2011) - 2010
- [j8]Jörg Lücke, Julian Eggert:
Expectation Truncation and the Benefits of Preselection In Training Generative Models. J. Mach. Learn. Res. 11: 2855-2900 (2010) - [c42]Nils Einecke
A Two-Stage Correlation Method for Stereoscopic Depth Estimation. DICTA 2010: 227-234 - [c41]Nils Einecke
Evaluation of Direct Plane Fitting for Depth and Parameter Estimation. DICTA 2010: 492-497 - [c40]Alexander Denecke, Irene Ayllón Clemente, Heiko Wersing, Julian Eggert, Jochen Jakob Steil:
Figure-ground Segmentation using Metrics Adaptation in Level Set Methods. ESANN 2010 - [c39]Volker Willert, Julian Eggert:
Adaptive velocity tuning for visual motion estimation. ESANN 2010 - [c38]Chen Zhang, Julian Eggert:
Exploiting hierarchical prediction structures for mixed 2d-3d tracking. ESANN 2010 - [c37]Marc Henniges, Gervasio Puertas, Jörg Bornschein, Julian Eggert, Jörg Lücke:
Binary Sparse Coding. LVA/ICA 2010: 450-457 - [c36]Julian Eggert, Joerg Deigmoeller, Volker Willert:
Layered Motion Segmentation with a Competitive Recurrent Network. ICANN (2) 2010: 124-133 - [c35]Chen Zhang, Julian Eggert:
A probabilistic method for hierarchical 2D-3D tracking. IJCNN 2010: 1-8 - [c34]Jens Schmüdderich, Nils Einecke
System approach for multi-purpose representations of traffic scene elements. ITSC 2010: 1677-1684 - [c33]Volker Willert, Julian Eggert:
Belief Propagation in Spatiotemporal Graph Topologies for the Analysis of Image Sequences. VISAPP (2) 2010: 117-124 - [c32]Nils Einecke, Sven Rebhan, Julian Eggert, Volker Willert:
Direct Surface Fitting. VISAPP (2) 2010: 125-133
2000 – 2009
- 2009
- [j7]Sven Hellbach, Julian Eggert, Edgar Körner, Horst-Michael Gross:
Experimental Evaluation of Approaches for Long Term Prediction of Human Movement Trajectories. Aust. J. Intell. Inf. Process. Syst. 10(3) (2009) - [c31]Sven Hellbach, Julian Eggert, Edgar Körner, Horst-Michael Gross:
Basis Decomposition of Motion Trajectories Using Spatio-temporal NMF. ICANN (2) 2009: 804-814 - [c30]Chen Zhang, Julian Eggert:
Tracking with Multiple Prediction Models. ICANN (2) 2009: 855-864 - [c29]Volker Willert, Julian Eggert:
A stochastic dynamical system for optical flow estimation. ICCV Workshops 2009: 711-718 - [c28]Sven Rebhan, Andreas Richter, Julian Eggert:
Demand-Driven Visual Information Acquisition. ICVS 2009: 124-133 - [c27]Chen Zhang, Julian Eggert, Nils Einecke
Robust Tracking by Means of Template Adaptation with Drift Correction. ICVS 2009: 425-434 - [c26]Florian Röhrbein, Julian Eggert, Edgar Körner:
Child-friendly divorcing: Incremental hierarchy learning in Bayesian networks. IJCNN 2009: 2711-2716 - [c25]Daniel Weiler, Florian Röhrbein
Level-set segmentation with contour based object representation. IJCNN 2009: 3327-3334 - [c24]Julian Eggert, Sven Hellbach, Alexander Kolarow, Edgar Körner, Horst-Michael Gross:
Prediction and Classification of Motion Trajectories Using Spatio-Temporal NMF. KI 2009: 597-606 - [p1]Julian Eggert, Heiko Wersing:
Approaches and Challenges for Cognitive Vision Systems. Creating Brain-Like Intelligence 2009: 215-247 - 2008
- [j6]Jens Schmüdderich, Volker Willert, Julian Eggert, Sven Rebhan, Christian Goerick, Gerhard Sagerer, Edgar Körner:
Estimating Object Proper Motion Using Optical Flow, Kinematics, and Depth Information. IEEE Trans. Syst. Man Cybern. Part B 38(4): 1139-1151 (2008) - [c23]Volker Willert, Jens Schmüdderich, Julian Eggert:
Probabilistic Optical Flow Estimation for Large Pixel Displacements Utilizing Egomotion Flow Compensation. BMVC 2008: 1-10 - [c22]Sven Hellbach, Sören Strauss, Julian Eggert, Edgar Körner, Horst-Michael Gross:
Echo State Networks for Online Prediction of Movement Data - Comparing Investigations. ICANN (1) 2008: 710-719 - [c21]Daniel Weiler, Volker Willert, Julian Eggert:
A Probabilistic Prediction Method for Object Contour Tracking. ICANN (1) 2008: 1011-1020 - [c20]Volker Willert, Julian Eggert, Marc Toussaint, Edgar Körner:
Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint. ICMLA 2008: 259-266 - [c19]Chen Zhang, Volker Willert, Julian Eggert:
Tracking with Depth-from-Size. ICONIP (1) 2008: 275-284 - [c18]Sven Hellbach, Julian Eggert, Edgar Körner, Horst-Michael Gross:
Time Series Analysis for Long Term Prediction of Human Movement Trajectories. ICONIP (2) 2008: 567-574 - [c17]Sven Rebhan, Waqas Sharif, Julian Eggert:
Incremental Learning in the Non-negative Matrix Factorization. ICONIP (2) 2008: 960-969 - [c16]Sven Rebhan, Florian Röhrbein
Attention Modulation Using Short- and Long-Term Knowledge. ICVS 2008: 151-160 - 2007
- [c15]Julian Eggert, Chen Zhang, Edgar Körner:
Template Matching for Large Transformations. ICANN (2) 2007: 169-179 - [c14]Sven Rebhan, Julian Eggert, Horst-Michael Groß, Edgar Körner:
Sparse and Transformation-Invariant Hierarchical NMF. ICANN (1) 2007: 894-903 - [c13]Volker Willert, Marc Toussaint, Julian Eggert, Edgar Körner:
Uncertainty optimization for robust dynamic optical flow estimation. ICMLA 2007: 450-457 - [c12]Nils Einecke
Walking Appearance Manifolds without Falling Off. ICONIP (1) 2007: 653-662 - [c11]Daniel Weiler, Julian Eggert:
Multi-dimensional Histogram-Based Image Segmentation. ICONIP (1) 2007: 963-972 - [c10]Florian Röhrbein, Julian Eggert, Edgar Körner:
A Cortex-Inspired Neural-Symbolic Network for Knowledge Representation. NeSy 2007 - [c9]Daniel Weiler, Volker Willert, Julian Eggert, Edgar Körner:
A Probabilistic Method for Motion Pattern Segmentation. IJCNN 2007: 1645-1650 - 2006
- [j5]Volker Willert, Julian Eggert, Jürgen Adamy, Edgar Körner:
Non-Gaussian velocity distributions integrated over space, time, and scales. IEEE Trans. Syst. Man Cybern. Part B 36(3): 482-493 (2006) - [j4]Volker Willert, Julian Eggert, Jürgen Adamy, Raphael Stahl, Edgar Körner:
A Probabilistic Model for Binaural Sound Localization. IEEE Trans. Syst. Man Cybern. Part B 36(5): 982-994 (2006) - [c8]Antonello Ceravola, Frank Joublin, Mark Dunn, Julian Eggert, Marcus Stein, Christian Goerick:
Integrated Research and Development Environment for Real-Time Distributed Embodied Intelligent Systems. IROS 2006: 1631-1637 - 2005
- [j3]Wolfgang Einhäuser
Learning viewpoint invariant object representations using a temporal coherence principle. Biol. Cybern. 93(1): 79-90 (2005) - [c7]Volker Willert, Julian Eggert, Sebastian Clever, Edgar Körner:
Probabilistic Color Optical Flow. DAGM-Symposium 2005: 9-16 - [c6]Georg Fette, Julian Eggert:
Short Term Memory and Pattern Matching with Simple Echo State Networks. ICANN (1) 2005: 13-18 - 2004
- [c5]Julian Eggert, Volker Willert, Edgar Körner:
Building a Motion Resolution Pyramid by Combining Velocity Distributions. DAGM-Symposium 2004: 310-317 - 2003
- [c4]Heiko Wersing, Julian Eggert, Edgar Körner:
Sparse Coding with Invariance Constraints. ICANN 2003: 385-392 - 2002
- [c3]Botond Szatmáry, Barnabás Póczos, Julian Eggert, Edgar Körner, András Lörincz:
Non-negative matrix factorization extended by sparse code shrinkage and weight sparsification non-negative matrix factorization algorithms. ECAI 2002: 503-507 - 2001
- [j2]Julian Eggert, Berthold Bäuml
Fast dynamic organization without short-term synaptic plasticity: A new view on Hebb's dynamical assemblies. Neurocomputing 38-40: 191-196 (2001) - [j1]Julian Eggert, J. Leo van Hemmen:
Modeling Neuronal Assemblies: Theory and Implementation. Neural Comput. 13(9): 1923-1974 (2001) - [c2]Julian Eggert, Berthold Bäuml:
Exact differential equation population dynamics for integrate-and-fire neurons. NIPS 2001: 205-212
1990 – 1999
- 1997
- [c1]Julian Eggert, J. Leo van Hemmen:
Derivation of Pool Dynamics from Microscopic Neuronal Models. ICANN 1997: 109-114
Coauthor Index
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