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ORCIDHeiko Neumann
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- affiliation: University of Ulm, Germany
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2020 – today
- 2020
[j44]Alex Bäuerle
, Heiko Neumann, Timo Ropinski:
Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks. Comput. Graph. Forum 39(3): 195-205 (2020)- [j43]Timo Oess, Maximilian P. R. Löhr, Daniel Schmid, Marc O. Ernst, Heiko Neumann:
From Near-Optimal Bayesian Integration to Neuromorphic Hardware: A Neural Network Model of Multisensory Integration. Frontiers Neurorobotics 14: 29 (2020) - [c100]Timo Oess, Maximilian P. R. Löhr, Christian Jarvers, Daniel Schmid, Heiko Neumann:
A Bio-Inspired Model of Sound Source Localization on Neuromorphic Hardware. AICAS 2020: 103-107 - [c99]Maximilian P. R. Löhr, Christian Jarvers, Heiko Neumann:
Complex Neuron Dynamics on the IBM TrueNorth Neurosynaptic System. AICAS 2020: 113-117 - [c98]Yan Zhang, Mohamed Hassan, Heiko Neumann, Michael J. Black, Siyu Tang:
Generating 3D People in Scenes Without People. CVPR 2020: 6193-6203
2010 – 2019
- 2019
- [c97]Yan Zhang, Siyu Tang, Krikamol Muandet, Christian Jarvers, Heiko Neumann:
Local Temporal Bilinear Pooling for Fine-Grained Action Parsing. CVPR 2019: 12005-12015 - [c96]Christian Jarvers, Daniel Schmid, Heiko Neumann:
Temporal Learning of Dynamics in Complex Neuron Models using Backpropagation. IJCNN 2019: 1-8 - [c95]Maximilian P. R. Löhr, Daniel Schmid, Heiko Neumann:
Motion Integration and Disambiguation by Spiking V1-MT-MSTl Feedforward-Feedback Interaction. IJCNN 2019: 1-9 - [i6]Yan Zhang, Krikamol Muandet, Qianli Ma, Heiko Neumann, Siyu Tang:
Low-rank Random Tensor for Bilinear Pooling. CoRR abs/1906.01004 (2019) - [i5]Yan Zhang, Mohamed Hassan, Heiko Neumann, Michael J. Black, Siyu Tang:
Generating 3D People in Scenes without People. CoRR abs/1912.02923 (2019) - 2018
- [j42]Anwar Saeed, Ayoub Al-Hamadi, Heiko Neumann:
Facial point localization via neural networks in a cascade regression framework. Multim. Tools Appl. 77(2): 2261-2283 (2018) - [c94]Yan Zhang, Siyu Tang, He Sun, Heiko Neumann:
Human Motion Parsing by Hierarchical Dynamic Clustering. BMVC 2018: 269 - [c93]Yan Zhang, Heiko Neumann:
An Empirical Study Towards Understanding How Deep Convolutional Nets Recognize Falls. ECCV Workshops (6) 2018: 112-127 - [c92]Michael Zimoch, Rüdiger Pryss, Georg Layher, Heiko Neumann, Thomas Probst, Winfried Schlee, Manfred Reichert:
Utilizing the Capabilities Offered by Eye-Tracking to Foster Novices' Comprehension of Business Process Models. ICCC 2018: 155-163 - [c91]Maximilian P. R. Löhr, Heiko Neumann:
Contrast Detection in Event-Streams from Dynamic Vision Sensors with Fixational Eye Movements. ISCAS 2018: 1-5 - [i4]Yan Zhang, He Sun, Siyu Tang, Heiko Neumann:
Temporal Human Action Segmentation via Dynamic Clustering. CoRR abs/1803.05790 (2018) - [i3]Alex Bäuerle, Heiko Neumann, Timo Ropinski:
Training De-Confusion: An Interactive, Network-Supported Visual Analysis System for Resolving Errors in Image Classification Training Data. CoRR abs/1808.03114 (2018) - [i2]Yan Zhang, Siyu Tang, Krikamol Muandet, Christian Jarvers, Heiko Neumann:
Local Temporal Bilinear Pooling for Fine-grained Action Parsing. CoRR abs/1812.01922 (2018) - [i1]Yan Zhang, Heiko Neumann:
An Empirical Study towards Understanding How Deep Convolutional Nets Recognize Falls. CoRR abs/1812.01923 (2018) - 2017
- [j41]Georg Layher, Tobias Brosch, Heiko Neumann:
Real-Time Biologically Inspired Action Recognition from Key Poses Using a Neuromorphic Architecture. Frontiers Neurorobotics 11: 13 (2017) - [c90]Christian Jarvers, Heiko Neumann:
Adaptive dynamic network architectures for companion systems. ICCT 2017: 1-6 - [c89]Daniel König, Michael Adam, Christian Jarvers, Georg Layher, Heiko Neumann, Michael Teutsch:
Fully Convolutional Region Proposal Networks for Multispectral Person Detection. CVPR Workshops 2017: 243-250 - [c88]Yan Zhang, Georg Layher, Steffen Walter, Viktor Kessler, Heiko Neumann:
Visual Confusion Recognition in Movement Patterns from Walking Path and Motion Energy. ICOST 2017: 124-135 - [c87]Yan Zhang, Georg Layher, Heiko Neumann:
Continuous activity understanding based on accumulative pose-context visual patterns. IPTA 2017: 1-6 - [p3]Georg Layher, Michael Glodek, Heiko Neumann:
Analysis of Articulated Motion for Social Signal Processing. Companion Technology 2017: 345-364 - [p2]Robert Niese, Ayoub Al-Hamadi, Heiko Neumann:
Automated Analysis of Head Pose, Facial Expression and Affect. Companion Technology 2017: 365-386 - [p1]Ingo Siegert, Felix Schüssel, Miriam Schmidt, Stephan Reuter, Sascha Meudt, Georg Layher, Gerald Krell, Thilo Hörnle, Sebastian Handrich, Ayoub Al-Hamadi, Klaus Dietmayer, Heiko Neumann, Günther Palm, Friedhelm Schwenker, Andreas Wendemuth:
Multi-modal Information Processing inCompanion-Systems: A Ticket Purchase System. Companion Technology 2017: 493-500 - 2016
- [j40]N. V. Kartheek Medathati, Heiko Neumann, Guillaume S. Masson, Pierre Kornprobst:
Bio-inspired computer vision: Towards a synergistic approach of artificial and biological vision. Comput. Vis. Image Underst. 150: 1-30 (2016) - [c86]Maria Velana, Sascha Gruss, Georg Layher, Patrick Thiam, Yan Zhang, Daniel Schork, Viktor Kessler, Sascha Meudt, Heiko Neumann, Jonghwa Kim, Friedhelm Schwenker, Elisabeth André, Harald C. Traue, Steffen Walter:
The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System. MPRSS 2016: 127-139 - [c85]Michael Glodek, Georg Layher, Heiko Neumann, Susanne Biundo, Günther Palm:
On Stacking Probabilistic Temporal Models with Bidirectional Information Flow. Probabilistic Graphical Models 2016: 195-206 - 2015
- [j39]Fabian Schrodt, Georg Layher, Heiko Neumann, Martin V. Butz:
Embodied learning of a generative neural model for biological motion perception and inference. Frontiers Comput. Neurosci. 9: 79 (2015) - [j38]Antonio Jose Rodríguez-Sánchez, Heiko Neumann, Justus H. Piater:
Beyond Simple and Complex Neurons: Towards Intermediate-level Representations of Shapes and Objects. Künstliche Intell. 29(1): 19-29 (2015) - [j37]Tobias Brosch, Heiko Neumann, Pieter R. Roelfsema:
Reinforcement Learning of Linking and Tracing Contours in Recurrent Neural Networks. PLoS Comput. Biol. 11(10) (2015) - [c84]Georg Layher, Tobias Brosch, Heiko Neumann:
Towards a mesoscopic-level canonical circuit definition for visual cortical processing. BICT 2015: 543-550 - [c83]Tobias Brosch, Heiko Neumann:
Event-based optical flow on neuromorphic hardware. BICT 2015: 551-558 - [c82]Tobias Brosch, Stephan Tschechne, Heiko Neumann:
Visual Processing in Cortical Architecture from Neuroscience to Neuromorphic Computing. BrainComp 2015: 86-100 - [c81]Georg Layher, Stephan Tschechne, Robert Niese, Ayoub Al-Hamadi, Heiko Neumann:
Towards the Separation of Rigid and Non-rigid Motions for Facial Expression Analysis. Intelligent Environments 2015: 176-179 - [c80]Luma Issa Abdul-Kreem, Heiko Neumann:
Bio-inspired Model for Motion Estimation using an Address-event Representation. VISAPP (3) 2015: 335-346 - [c79]Luma Issa Abdul-Kreem, Heiko Neumann:
Estimating Visual Motion Using an Event-Based Artificial Retina. VISIGRAPP (Selected Papers) 2015: 396-415 - 2014
- [j36]Stephan Tschechne, Heiko Neumann:
Hierarchical representation of shapes in visual cortex - from localized features to figural shape segregation. Frontiers Comput. Neurosci. 8: 93 (2014) - [j35]Tobias Brosch, Heiko Neumann:
Computing with a Canonical Neural Circuits Model with Pool Normalization and Modulating Feedback. Neural Comput. 26(12): 2735-2789 (2014) - [j34]Tobias Brosch, Heiko Neumann:
Interaction of feedforward and feedback streams in visual cortex in a firing-rate model of columnar computations. Neural Networks 54: 11-16 (2014) - [j33]Georg Layher, Martin A. Giese, Heiko Neumann:
Learning Representations of Animated Motion Sequences - A Neural Model. Top. Cogn. Sci. 6(1): 170-182 (2014) - [c78]Stephan Tschechne, Roman Sailer, Heiko Neumann:
Bio-Inspired Optic Flow from Event-Based Neuromorphic Sensor Input. ANNPR 2014: 171-182 - [c77]Tobias Brosch, Stephan Tschechne, Roman Sailer, Nora von Egloffstein, Luma Issa Abdul-Kreem, Heiko Neumann:
On event-based motion detection and integration. BICT 2014 - [c76]Anna Belardinelli, Johannes Kurz, Esther Kutter, Heiko Neumann, Hans-Otto Karnath, Martin V. Butz:
Modeling Simultanagnosia. CogSci 2014 - [c75]Fabian Schrodt, Georg Layher, Heiko Neumann, Martin V. Butz:
Modeling Perspective-Taking by Correlating Visual and Proprioceptive Dynamics. CogSci 2014 - [c74]Siegfried Hochdorfer, Heiko Neumann, Christian Schlegel:
Landmark Rating and Selection for SLAM in Dynamic Environments. IAS 2014: 401-414 - [c73]Fabian Schrodt, Georg Layher, Heiko Neumann, Martin V. Butz:
Modeling perspective-taking upon observation of 3D biological motion. ICDL-EPIROB 2014: 305-310 - [c72]Michael Glodek, Georg Layher, Felix Heilemann, Florian Gawrilowicz, Günther Palm, Friedhelm Schwenker, Heiko Neumann:
uulmMAD - A Human Action Recognition Dataset for Ground-Truth Evaluation and Investigation of View Invariances. MPRSS 2014: 77-91 - 2013
- [j32]Florian Raudies, Stefan Ringbauer, Heiko Neumann:
A Bio-Inspired, Computational Model Suggests Velocity Gradients of Optic Flow Locally Encode Ordinal Depth at Surface Borders and Globally They Encode Self-Motion. Neural Comput. 25(9): 2421-2449 (2013) - [c71]Georg Layher, Martin A. Giese, Heiko Neumann:
Learning Representations of Animated Motion Sequences - A Neural Model. CogSci 2013 - [c70]Stephan Tschechne, Georg Layher, Heiko Neumann:
A Biologically Inspired Model for the Detection of External and Internal Head Motions. ICANN 2013: 232-239 - [c69]Tobias Brosch, Friedhelm Schwenker, Heiko Neumann:
Attention-Gated Reinforcement Learning in Neural Networks - A Unified View. ICANN 2013: 272-279 - 2012
- [j31]Florian Raudies, Heiko Neumann:
A review and evaluation of methods estimating ego-motion. Comput. Vis. Image Underst. 116(5): 606-633 (2012) - [j30]Stefan Scherer, Michael Glodek, Georg Layher, Martin Schels, Miriam Schmidt, Tobias Brosch, Stephan Tschechne, Friedhelm Schwenker, Heiko Neumann, Günther Palm:
A generic framework for the inference of user states in human computer interaction. J. Multimodal User Interfaces 6(3-4): 117-141 (2012) - [j29]Martin Hopfensitz, Christoph Müssel, Christian Wawra, Markus Maucher, Michael Kühl, Heiko Neumann, Hans A. Kestler:
Multiscale Binarization of Gene Expression Data for Reconstructing Boolean Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 9(2): 487-498 (2012) - [c68]Heiko Neumann, Florian Raudies:
Neural Mechanisms for Form and Motion Detection and Integration: Biology Meets Machine Vision. ECCV Workshops (1) 2012: 468-473 - [c67]Georg Layher, Martin A. Giese, Heiko Neumann:
Learning Representations for Animated Motion Sequence and Implied Motion Recognition. ICANN (1) 2012: 288-295 - [c66]Tobias Brosch, Heiko Neumann:
The Brain's Sequential Parallelism: Perceptual Decision-Making and Early Sensory Responses. ICONIP (2) 2012: 41-50 - [c65]Tobias Brosch, Heiko Neumann:
The Combination of HMAX and HOGs in an Attention Guided Framework for Object Localization. ICPRAM (2) 2012: 281-288 - [c64]Stefan Scherer, Georg Layher, John Kane, Heiko Neumann, Nick Campbell:
An audiovisual political speech analysis incorporating eye-tracking and perception data. LREC 2012: 1114-1120 - 2011
- [j28]Johannes Huth, Malte Buchholz, Johann M. Kraus, Kristian Mølhave, Cristian Gradinaru, Götz v. Wichert, Thomas M. Gress, Heiko Neumann, Hans A. Kestler:
TimeLapseAnalyzer: Multi-target analysis for live-cell imaging and time-lapse microscopy. Comput. Methods Programs Biomed. 104(2): 227-234 (2011) - [j27]Jan D. Bouecke, Émilien Tlapale, Pierre Kornprobst, Heiko Neumann:
Neural Mechanisms of Motion Detection, Integration, and Segregation: From Biology to Artificial Image Processing Systems. EURASIP J. Adv. Signal Process. 2011 (2011) - [j26]Florian Raudies, Ennio Mingolla, Heiko Neumann:
A Model of Motion Transparency Processing with Local Center-Surround Interactions and Feedback. Neural Comput. 23(11): 2868-2914 (2011) - [c63]Michael Glodek, Stephan Tschechne, Georg Layher, Martin Schels, Tobias Brosch, Stefan Scherer, Markus Kächele, Miriam Schmidt, Heiko Neumann, Günther Palm, Friedhelm Schwenker:
Multiple Classifier Systems for the Classification of Audio-Visual Emotional States. ACII (2) 2011: 359-368 - [c62]Georg Layher, Heiko Neumann, Stefan Scherer, Stephan Tschechne, Tobias Brosch, Cristóbal Curio:
Social Signal Processing in Companion Systems - Challenges Ahead. GI-Jahrestagung 2011: 239 - [c61]Stefan Ringbauer, Stephan Tschechne, Heiko Neumann:
Mechanisms of Adaptive Spatial Integration in a Neural Model of Cortical Motion Processing. ICANNGA (1) 2011: 110-119 - [c60]Dominik Endres, Heiko Neumann, Marina Kolesnik, Martin A. Giese:
Hooligan detection: The effects of saliency and expert knowledge. ICDP 2011: 1-6 - [c59]Georg Layher, Hendrik Liebau, Robert Niese, Ayoub Al-Hamadi, Bernd Michaelis, Heiko Neumann:
Robust Stereoscopic Head Pose Estimation in Human-Computer Interaction and a Unified Evaluation Framework. ICIAP (1) 2011: 227-236 - 2010
- [j25]Florian Raudies, Heiko Neumann:
A neural model of the temporal dynamics of figure-ground segregation in motion perception. Neural Networks 23(2): 160-176 (2010) - [c58]Émilien Tlapale, Pierre Kornprobst, Jan D. Bouecke, Heiko Neumann, Guillaume S. Masson:
Evaluating Motion Estimation Models from Behavioural and Psychophysical Data. BIONETICS 2010: 483-496 - [c57]Robert Niese, Ayoub Al-Hamadi, Bernd Michaelis, Heiko Neumann:
Integration of geometric and dynamic features for facial expression recognition in color image sequences. SoCPaR 2010: 237-240
2000 – 2009
- 2009
- [c56]Florian Raudies, Heiko Neumann:
An Efficient Linear Method for the Estimation of Ego-Motion from Optical Flow. DAGM-Symposium 2009: 11-20 - 2008
- [j24]Axel Thielscher, Heiko Neumann:
Globally consistent depth sorting of overlapping 2D surfaces in a model using local recurrent interactions. Biol. Cybern. 98(4): 305-337 (2008) - [j23]Heiko Neumann, Luiz Pessoa, Thorsten Hansen:
Interaction of ON and OFF pathways for visual contrast measurement. Biol. Cybern. 98(4): 353 (2008) - [c55]Petra-Maria Strauß, Holger Hoffmann, Wolfgang Minker, Heiko Neumann, Günther Palm, Stefan Scherer, Harald C. Traue, Ulrich Weidenbacher:
The PIT Corpus of German Multi-Party Dialogues. LREC 2008 - [c54]Ulrich Weidenbacher, Heiko Neumann:
Unsupervised Learning of Head Pose through Spike-Timing Dependent Plasticity. PIT 2008: 123-131 - [c53]Cornelia Beck, Umberto Olcese, Alberto Montagner, Stefan Ringbauer, Heiko Neumann, Antonio Frisoli, Rita Almeida, Massimo Bergamasco, Gustavo Deco:
A neuroinspired cognitive behavioral control architecture for visually driven mobile robotics. ROBIO 2008: 2190-2196 - [c52]Florian Raudies, Heiko Neumann:
Biologically Inspired Attentive Motion Analysis for Video Surveillance. VISAPP (2) 2008: 645-650 - [e2]Elisabeth André, Laila Dybkjær, Wolfgang Minker, Heiko Neumann, Roberto Pieraccini, Michael Weber:
Perception in Multimodal Dialogue Systems, 4th IEEE Tutorial and Research Workshop on Perception and Interactive Technologies for Speech-Based Systems, PIT 2008, Kloster Irsee, Germany, June 16-18, 2008, Proceedings. Lecture Notes in Computer Science 5078, Springer 2008, ISBN 978-3-540-69368-0 [contents] - 2007
- [j22]Pierre Bayerl, Heiko Neumann:
A neural model of feature attention in motion perception. Biosyst. 89(1-3): 208-215 (2007) - [j21]Pierre Bayerl, Heiko Neumann:
Disambiguating Visual Motion by Form-Motion Interaction - a Computational Model. Int. J. Comput. Vis. 72(1): 27-45 (2007) - [j20]Axel Thielscher, Heiko Neumann:
A computational model to link psychophysics and cortical cell activation patterns in human texture processing. J. Comput. Neurosci. 22(3): 255-282 (2007) - [j19]Pierre Bayerl, Heiko Neumann:
A Fast Biologically Inspired Algorithm for Recurrent Motion Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 29(2): 246-260 (2007) - [j18]Sylvain Fischer, Pierre Bayerl, Heiko Neumann, Rafael Redondo, Gabriel Cristóbal:
Iterated tensor voting and curvature improvement. Signal Process. 87(11): 2503-2515 (2007) - [c51]Cornelia Beck, Thomas Gottbehuet, Heiko Neumann:
Integration of Multiple Temporal and Spatial Scales for Robust Optic Flow Estimation in a Biologically Inspired Algorithm. CAIP 2007: 53-60 - [c50]Stefan Ringbauer, Pierre Bayerl, Heiko Neumann:
Neural Mechanisms for Mid-Level Optical Flow Pattern Detection. ICANN (2) 2007: 281-290 - 2006
- [j17]Ulrich Weidenbacher, Pierre Bayerl, Heiko Neumann, Roland W. Fleming:
Sketching shiny surfaces: 3D shape extraction and depiction of specular surfaces. ACM Trans. Appl. Percept. 3(3): 262-285 (2006) - [c49]Cornelia Beck, Pierre Bayerl, Heiko Neumann:
Optic Flow Integration at Multiple Spatial Frequencies - Neural Mechanism and Algorithm. ISVC (1) 2006: 741-750 - [c48]Petra-Maria Strauß, Holger Hoffmann, Wolfgang Minker, Heiko Neumann, Günther Palm, Stefan Scherer, Friedhelm Schwenker, Harald C. Traue, Welf Walter, Ulrich Weidenbacher:
Wizard-of-Oz Data Collection for Perception and Interaction in Multi-User Environments. LREC 2006: 2014-2017 - [c47]Ulrich Weidenbacher, Georg Layher, Pierre Bayerl, Heiko Neumann:
Detection of Head Pose and Gaze Direction for Human-Computer Interaction. PIT 2006: 9-19 - [c46]Thorsten D. Mahler, Pierre Bayerl, Heiko Neumann, Michael Weber:
Visual Attention in Auditory Display. PIT 2006: 65-72 - [c45]Tobias Bausch, Pierre Bayerl, Heiko Neumann:
Multi-level Face Tracking for Estimating Human Head Orientation in Video Sequences. PIT 2006: 179-182 - [e1]Elisabeth André, Laila Dybkjær, Wolfgang Minker, Heiko Neumann, Michael Weber:
Perception and Interactive Technologies, International Tutorial and Research Workshop, PIT 2006, Kloster Irsee, Germany, June 19-21, 2006, Proceedings. Lecture Notes in Computer Science 4021, Springer 2006, ISBN 3-540-34743-7 [contents] - 2005
- [j16]Matthias S. Keil, Gabriel Cristóbal, Thorsten Hansen, Heiko Neumann:
Recovering real-world images from single-scale boundaries with a novel filling-in architecture. Neural Networks 18(10): 1319-1331 (2005) - [c44]Martin Clauss, Pierre Bayerl, Heiko Neumann:
Segmentation of Independently Moving Objects Using a Maximum-Likelihood Principle. AMS 2005: 81-87 - [c43]Ulrich Weidenbacher, Pierre Bayerl, Roland W. Fleming, Heiko Neumann:
Extracting and depicting the 3D shape of specular surfaces. APGV 2005: 83-86 - 2004
- [j15]Thorsten Hansen, Heiko Neumann:
Neural Mechanisms for the Robust Representation of Junctions. Neural Comput. 16(5): 1013-1037 (2004) - [j14]Pierre Bayerl, Heiko Neumann:
Disambiguating Visual Motion Through Contextual Feedback Modulation. Neural Comput. 16(10): 2041-2066 (2004) - [j13]Thorsten Hansen, Heiko Neumann:
A simple cell model with dominating opponent inhibition for robust image processing. Neural Networks 17(5-6): 647-662 (2004) - [c42]Roland Schweiger, Pierre Bayerl, Heiko Neumann:
Neural Architecture for Temporal Emotion Classification. ADS 2004: 49-52 - [c41]Pierre Bayerl, Heiko Neumann:
A Model of Motion, Stereo, and Monocular Depth Perception. DAGM-Symposium 2004: 95-102 - [c40]Martin Clauss, Pierre Bayerl, Heiko Neumann:
A Statistical Measure for Evaluating Regions-of-Interest Based Attention Algorithms. DAGM-Symposium 2004: 383-390 - [c39]Sylvain Fischer, Pierre Bayerl, Heiko Neumann, Gabriel Cristóbal, Rafael Redondo:
Are Iterations and Curvature Useful for Tensor Voting? ECCV (3) 2004: 158-169 - 2003
- [c38]Haythem El-Messiry, Hans A. Kestler, Olaf Grebe, Heiko Neumann:
Morphological Scale-Space Decomposition for Segmenting the Ventricular Structure in Cardiac MR Images. Bildverarbeitung für die Medizin 2003: 181-185 - [c37]Frank Seifart, Pierre Bayerl, Heiko Neumann:
A neural model for heading detection from optic flow. ESANN 2003: 319-324 - [c36]A. Zehender, Pierre Bayerl, Heiko Neumann:
A view-based approach for object recognition from image sequences. ESANN 2003: 457-462 - [c35]Matthias S. Keil, Gabriel Cristóbal, Heiko Neumann:
Neural mechanisms for segregation and recovering of intrinsic image features. ICIP (1) 2003: 693-696 - 2002
- [c34]Thorsten Hansen, Heiko Neumann:
A Biologically Motivated Scheme for Robust Junction Detection. Biologically Motivated Computer Vision 2002: 16-26 - [c33]Axel Thielscher, Anna Schubö, Heiko Neumann:
A Neural Model of Human Texture Processing: Texture Segmentation vs. Visual Search. Biologically Motivated Computer Vision 2002: 99-108 - [c32]Pierre Bayerl, Heiko Neumann:
Neural Mechanisms of Visual Flow Integration and Segregation - Insights from the Pinna-Brelstaff Illusion and Variations of It. Biologically Motivated Computer Vision 2002: 301-310 - 2001
- [j12]Heiko Neumann, Luiz Pessoa, Thorsten Hansen:
Visual filling-in for computing perceptual surface properties. Biol. Cybern. 85(5): 355-369 (2001) - [c31]Dariu Gavrila, Jan Giebel, Heiko Neumann:
Learning Shape Models from Examples. DAGM-Symposium 2001: 369-376 - [c30]Matthias S. Keil, Gabriel Cristóbal, Heiko Neumann:
A Neurodynamical Retinal Network Based on Reaction-Diffusion Systems. ICIAP 2001: 209-214 - [c29]Thorsten Hansen, Wolfgang Sepp, Heiko Neumann:
Recurrent Long-Range Interactions in Early Vision. Emergent Neural Computational Architectures Based on Neuroscience 2001: 127-138 - [c28]Thorsten Hansen, Heiko Neumann:
Neural Mechanisms for Representing Surface and Contour Features. Emergent Neural Computational Architectures Based on Neuroscience 2001: 139-153 - 2000
- [j11]Gregory Baratoff, Christian Toepfer, Heiko Neumann:
Combined space-variant maps for optical-flow-based navigation. Biol. Cybern. 83(3): 199-209 (2000) - [j10]Thorsten Hansen, Gregory Baratoff, Heiko Neumann:
A simple cell model with dominating opponent inhibition for robust contrast detection. Kognitionswissenschaft 9(2): 93-100 (2000) - [c27]Gregory Baratoff, Ralph Schönfelder, Ingo Ahrns, Heiko Neumann:
Orientation Contrast Detection in Space-Variant Images. Biologically Motivated Computer Vision 2000: 554-563
1990 – 1999
- 1999
- [j9]Heiko Neumann, Wolfgang Sepp:
Recurrent V1-V2 interaction in early visual boundary processing. Biol. Cybern. 81(5-6): 425-444 (1999) - [j8]