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ORCIDHeiko Neumann
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- affiliation: University of Ulm, Germany
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2020 – today
- 2024
[j54]Christian Jarvers
, Heiko Neumann:
Teaching deep networks to see shape: Lessons from a simplified visual world. PLoS Comput. Biol. 20(11): 1012019 (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 - [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) - 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) - 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 - [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
- [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) - [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 - [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) - 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) - [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
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,