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ORCIDHeiko Neumann
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- affiliation: University of Ulm, Germany
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Books and Theses
- 1988
[b1]Heiko Neumann:
Theoretische Untersuchungen zur Extraktion monokularer Tiefenhinweise (Konturen und Schattierung) und ihre partielle methodische Evaluierung in einem rechnergestützten Perzeptionslabor. University of Hamburg, Germany, 1988
Journal Articles
- 2023
- [j53]Basavaraj Hampiholi
, Christian Jarvers, Wolfgang Mader, Heiko Neumann:
Convolutional Transformer Fusion Blocks for Multi-Modal Gesture Recognition. IEEE Access 11: 34094-34103 (2023) - [j52]Daniel Schmid, Christian Jarvers, Heiko Neumann:
Canonical circuit computations for computer vision. Biol. Cybern. 117(4): 299-329 (2023) - [j51]Michael Winter, Heiko Neumann, Rüdiger Pryss, Thomas Probst, Manfred Reichert:
Defining gaze patterns for process model literacy - Exploring visual routines in process models with diverse mappings. Expert Syst. Appl. 213(Part): 119217 (2023) - [j50]Michael Winter, Heiko Neumann, Rüdiger Pryss, Thomas Probst, Manfred Reichert:
Corrigendum to "Defining gaze patterns for process model literacy - Exploring visual routines in process models with diverse mappings" [Expert Syst. Appl. 213 (2023) 119217]. Expert Syst. Appl. 216: 119403 (2023) - [j49]Christian Jarvers, Heiko Neumann:
Shape-selective processing in deep networks: integrating the evidence on perceptual integration. Frontiers Comput. Sci. 5 (2023) - [j48]Daniel Schmid, Timo Oess, Heiko Neumann:
Listen to the Brain-Auditory Sound Source Localization in Neuromorphic Computing Architectures. Sensors 23(9): 4451 (2023) - 2021
- [j47]André Müller, Ludwig Lausser, Adalbert F. X. Wilhelm, Timo Ropinski, Matthias Platzer, Heiko Neumann, Hans A. Kestler:
A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data. Adv. Data Anal. Classif. 15(2): 463-480 (2021) - [j46]Patrick Thiam, Viktor Kessler, Mohammadreza Amirian, Peter Bellmann, Georg Layher, Yan Zhang, Maria Velana, Sascha Gruss, Steffen Walter, Harald C. Traue, Daniel Schork, Jonghwa Kim, Elisabeth André, Heiko Neumann, Friedhelm Schwenker:
Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database. IEEE Trans. Affect. Comput. 12(3): 743-760 (2021) - 2020
- [j45]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) - [j44]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) - [j43]Timo Oess, Marc O. Ernst, Heiko Neumann:
Computational principles of neural adaptation for binaural signal integration. PLoS Comput. Biol. 16(7) (2020) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 2001
- [j12]Heiko Neumann, Luiz Pessoa, Thorsten Hansen:
Visual filling-in for computing perceptual surface properties. Biol. Cybern. 85(5): 355-369 (2001) - 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) - 1999
- [j9]Heiko Neumann, Wolfgang Sepp:
Recurrent V1-V2 interaction in early visual boundary processing. Biol. Cybern. 81(5-6): 425-444 (1999) - [j8]Heiko Neumann, Luiz Pessoa, Thorsten Hansen:
Interaction of ON and OFF pathways for visual contrast measurement. Biol. Cybern. 81(5-6): 515-532 (1999) - [j7]Gregory Baratoff, Ingo Ahrns, Christian Toepfer, Heiko Neumann:
Ortsvariantes aktives Sehen: Von biologisches Motivation zu technisches Realisation. Künstliche Intell. 13(1): 33-35 (1999) - 1998
- [j6]Heiko Neumann, Luiz Pessoa, Ennio Mingolla:
A neural architecture of brightness perception: non-linear contrast detection and geometry-driven diffusion. Image Vis. Comput. 16(6-7): 423-446 (1998) - 1997
- [j5]Luiz Pessoa, Alexander Grunewald, Heiko Neumann, Enno Littmann:
A Biological Neural Network of Visual Cell Responses: Static and Motion Processing. J. Braz. Comput. Soc. 4(1) (1997) - 1996
- [j4]Heiko Neumann:
Mechanisms of Neural Architecture for Visual Contrast and Brightness Perception. Neural Networks 9(6): 921-936 (1996) - 1995
- [j3]Heiko Neumann:
Neuroinformatische Modellbildung zur visuellen Informationsverarbeitung. Künstliche Intell. 9(6): 27-31 (1995) - 1994
- [j2]Kai-Oliver Ludwig, Heiko Neumann, Bernd Neumann:
Local stereoscopic depth estimation. Image Vis. Comput. 12(1): 16-35 (1994) - 1992
- [j1]Manfred Kopisch, Heiko Neumann, Birte Prahl, Matthias Kalle Dalheimer, Christiane Löckenhoff, Christoph Thomas, Enno Littmann, Kai Seim:
KIFS '92, ein Rückblick. Künstliche Intell. 6(3): 58-63 (1992)
Conference and Workshop Papers
- 2024
- [c106]David B. Adrian, Andras Gabor Kupcsik, Markus Spies, Heiko Neumann:
Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images. ICRA 2024: 11186-11193 - [c105]Xiao Hu, Basavaraj Hampiholi, Heiko Neumann, Jochen Lang:
Temporal Context Enhanced Referring Video Object Segmentation. WACV 2024: 5562-5571 - 2022
- [c104]Christian Graf, David B. Adrian, Joshua Weil, Miroslav Gabriel, Philipp Schillinger, Markus Spies, Heiko Neumann, Andras Gabor Kupcsik:
Learning Dense Visual Descriptors using Image Augmentations for Robot Manipulation Tasks. CoRL 2022: 871-880 - [c103]David B. Adrian, Andras Gabor Kupcsik, Markus Spies, Heiko Neumann:
Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation. ICRA 2022: 1562-1568 - 2021
- [c102]Michael Winter, Cynthia Bredemeyer, Manfred Reichert, Heiko Neumann, Thomas Probst, Rüdiger Pryss:
How Healthcare Professionals Comprehend Process Models - An Empirical Eye Tracking Analysis. CBMS 2021: 313-318 - 2020
- [c101]Basavaraj Hampiholi, Christian Jarvers, Wolfgang Mader, Heiko Neumann:
Depthwise Separable Temporal Convolutional Network for Action Segmentation. 3DV 2020: 633-641 - [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 - 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 - 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 - 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 - 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
- [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
- [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
- [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
- [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
- [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
- [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 - 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
- [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 - 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
- [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 - 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
- [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
- [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
- [c27]Gregory Baratoff, Ralph Schönfelder, Ingo Ahrns, Heiko Neumann:
Orientation Contrast Detection in Space-Variant Images. Biologically Motivated Computer Vision 2000: 554-563 - 1999
- [c26]Ingo Ahrns, Heiko Neumann:
Space-Variant Dynamic Neural Fields for Visual Attention. CVPR 1999: 2313-2318 - [c25]Thorsten Hansen, Gregory Baratoff, Heiko Neumann:
Dominating Opponent Inhibition of On and Off Pathways for Robust Contrast Detection. DAGM-Symposium 1999: 232-239 - [c24]Heiko Neumann, Wolfgang Sepp:
Recurrent V1-V2 interaction for early visual information processing. ESANN 1999: 165-170 - 1998
- [c23]Christian Toepfer, Gregory Baratoff, Moritz Wende, Heiko Neumann:
Ortsvariante Karte als effektives Datenformat zur Integration visueller Navigationsaufgaben. DAGM-Symposium 1998: 193-200 - [c22]Ingo Ahrns, Heiko Neumann:
Improving Phase-Based Disparity Estimation by Means of Filter Tuning Techniques. DAGM-Symposium 1998: 357-364 - [c21]Ingo Ahrns, Heiko Neumann:
Real-time monocular fixation control using the log-polar transformation and a confidence-based similarity measure. ICPR 1998: 310-315 - [c20]Christian Toepfer, Moritz Wende, Gregory Baratoff, Heiko Neumann:
Robot navigation by combining central and peripheral optical flow detection on a space-variant map. ICPR 1998: 1804-1807 - 1997
- [c19]Alexander Grunewald, Heiko Neumann:
Detection of First and Second Order Motion. NIPS 1997: 801-807 - 1996
- [c18]T. Franke, Heiko Neumann, R. Seydel:
Anisotropic Diffusion Based on Mean Curvature Motion: A Computational Study. DAGM-Symposium 1996: 47-54 - [c17]Enno Littmann, Heiko Neumann, Laurent Redouloux:
Extraction of Illusory Contours by Perceptual Grouping. DAGM-Symposium 1996: 243-251 - [c16]Enno Littmann, Heiko Neumann, Luiz Pessoa:
Neural model for visual contrast detection. ESANN 1996 - [c15]Heiko Neumann, Petra Mössner:
Neural Model of Cortical Dynamics in Resonant Boundary Detection and Grouping. ICANN 1996: 857-862 - [c14]Enno Littmann, Heiko Neumann, Luiz Pessoa:
Neural model of nonlinear subfield integration in cortical simple cells. ICNN 1996: 788-793 - [c13]Enno Littmann, Heiko Neumann, Luiz Pessoa:
Nonlinear interaction of ON and OFF data streams for the detection of visual structure. ICPR 1996: 540-544 - 1993
- [c12]Martin Fick, Heiko Neumann, Karsten Ottenberg, H. Siegfried Stiehl:
On Ramp-Edge Preserving Weak Membrane Reconstruction of Smooth Intensity Functions from 2-D Computed Tomograms. DAGM-Symposium 1993: 228-236 - [c11]Ian R. Billups, Heiko Neumann, H. Siegfried Stiehl, Lothar Wieske:
A Neural Architecture for Emergent Visual Contrast, Brightness, and Space Perception. DAGM-Symposium 1993: 261-270 - 1992
- [c10]Kai-Oliver Ludwig, Heiko Neumann, Bernd Neumann:
Local Stereoscopic Depth Estimation Using Ocular Stripe Maps. ECCV 1992: 373-377 - [c9]Heiko Neumann, Karsten Ottenberg, H. Siegfried Stiehl:
Finding and describing local structure in discrete two-dimensional computed tomograms. ICPR (3) 1992: 408-412 - [c8]Heiko Neumann, Karsten Ottenberg:
Estimating attributes of smooth signal transitions from scale-space. ICPR (3) 1992: 754-758 - [c7]Kai-Oliver Ludwig, Heiko Neumann, Bernd Neumann:
Local stereoscopic depth estimation using ocular stripe maps. Theoretical Foundations of Computer Vision 1992 - 1991
- [c6]Kai-Oliver Ludwig, Bernd Neumann, Heiko Neumann:
Lokale stereoskopische Tiefenschätzung. DAGM-Symposium 1991: 544-551 - 1989
- [c5]Heiko Neumann:
On the Capacity of Quantitative Computational Shape Recovery from Local Shading Information. DAGM-Symposium 1989: 124-128 - [c4]Svend Back, Heiko Neumann, H. Siegfried Stiehl:
On Scale-Space Edge Detection in Computed Tomograms. DAGM-Symposium 1989: 216-223 - [c3]Heiko Neumann, H. Siegfried Stiehl:
A Competitive/Cooperative (Artificial Neutral) Network Approach to the Extraction of N-th Order Edge Junctions. DAGM-Symposium 1989: 256-263 - 1988
- [c2]Heiko Neumann:
Extraction of Image Domain Primitives with a Network of Competitive/Cooperative Processes. GWAI 1988: 265-274 - 1981
- [c1]D. Bartels, Heiko Neumann, H. Siegfried Stiehl:
Modellgestützte Analyse von kranialen Computer-Tomogrammen. DAGM-Symposium 1981: 195-202
Parts in Books or Collections
- 2017
- [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
Editorship
- 2008
- [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] - 2006
- [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]
Informal and Other Publications
- 2024
- [i12]David B. Adrian, Andras Gabor Kupcsik, Markus Spies, Heiko Neumann:
Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images. CoRR abs/2406.12441 (2024) - 2022
- [i11]David B. Adrian, Andras Gabor Kupcsik, Markus Spies, Heiko Neumann:
Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation. CoRR abs/2206.12145 (2022) - [i10]Felix Ott, Nisha Lakshmana Raichur, David Rügamer, Tobias Feigl, Heiko Neumann, Bernd Bischl, Christopher Mutschler:
Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression. CoRR abs/2208.00919 (2022) - [i9]Christian Graf, David B. Adrian, Joshua Weil, Miroslav Gabriel, Philipp Schillinger, Markus Spies, Heiko Neumann, Andras G. Kupcsik:
Learning Dense Visual Descriptors using Image Augmentations for Robot Manipulation Tasks. CoRR abs/2209.05213 (2022) - 2021
- [i8]Michael Winter, Heiko Neumann, Rüdiger Pryss, Thomas Probst, Manfred Reichert:
Defining Gaze Patterns for Process Model Literacy - Exploring Visual Routines in Process Models with Diverse Mappings. CoRR abs/2111.02881 (2021) - [i7]Timo Oess, Heiko Neumann:
Brain-inspired Visual-Auditory Integration Yielding Near Optimal Performance - Modelling and Neuromorphic Algorithms. ERCIM News 2021(125) (2021) - 2019
- [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
- [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)
Coauthor Index
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