Heiko Neumann

Heiko Neumann, K. Ottenberg, 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis,.

Sketching shiny surfaces: 3D shape extraction and depiction of specular surfaces

Heiko Neumann, Ulrich Weidenbacher, Roland W. Fleming, 2006, TAP.

Adaptive learning in a compartmental model of visual cortex—how feedback enables stable category learning and refinement

Martin V. Butz, Heiko Neumann, Fabian Schrodt, 2014, Front. Psychol..

Articulated Motion Estimation Implementation and Evaluation

Heiko Neumann, Thomas Leichtle, H. Neumann, 2013 .

Real-time monocular fixation control using the log-polar transformation and a confidence-based similarity measure

Heiko Neumann, Ingo Ahrns, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Integration of Multiple Temporal and Spatial Scales for Robust Optic Flow Estimation in a Biologically Inspired Algorithm

Heiko Neumann, Cornelia Beck, Thomas Gottbehuet, 2007, CAIP.

A multi-resolution filling-in model for brightness perception

Heiko Neumann, W. Sepp, H. Neumann, 1999 .

A model of neural mechanisms in monocular transparent motion perception

Heiko Neumann, Florian Raudies, H. Neumann, 2010, Journal of Physiology-Paris.

Attention-Gated Reinforcement Learning in Neural Networks - A Unified View

Friedhelm Schwenker, Tobias Brosch, Heiko Neumann, 2013, ICANN.

Improving Phase-Based Disparity Estimation by Means of Filter Tuning Techniques

Heiko Neumann, Ingo Ahrns, 1998, DAGM-Symposium.

Evaluating Motion Estimation Models from Behavioural and Psychophysical Data

Pierre Kornprobst, Heiko Neumann, Jan D. Bouecke, 2010, BIONETICS.

Modeling heading and path perception from optic flow in the case of independently moving objects

Heiko Neumann, Florian Raudies, H. Neumann, 2013, Front. Behav. Neurosci..

Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems

Laila Dybkjær, Heiko Neumann, Wolfgang Minker, 2008, PIT 2008.

A computational model to link psychophysics and cortical cell activation patterns in human texture processing

Heiko Neumann, Axel Thielscher, H. Neumann, 2007, Journal of Computational Neuroscience.

Modeling Simultanagnosia

Martin V. Butz, Heiko Neumann, Hans-Otto Karnath, 2014, CogSci.

Modeling Perspective-Taking by Correlating Visual and Proprioceptive Dynamics

Martin V. Butz, Heiko Neumann, Fabian Schrodt, 2014, CogSci.

Visual filling-in for computing perceptual surface properties

Heiko Neumann, Thorsten Hansen, Luiz Pessoa, 2001, Biological Cybernetics.

Bio-Inspired Computer Vision: Setting the Basis for a New Departure

Pierre Kornprobst, Heiko Neumann, N. V. Kartheek Medathati, 2015 .

Learning of New Perceptual Groupings - A Biologically Plausible Recurrent Neural Network Model that Learns Contour Integration

Pieter R. Roelfsema, Tobias Brosch, Heiko Neumann, 2014 .

Are Iterations and Curvature Useful for Tensor Voting?

Heiko Neumann, Gabriel Cristóbal, Sylvain Fischer, 2004, ECCV.

Interactions of motion and form in visual cortex – A neural model

Heiko Neumann, Cornelia Beck, H. Neumann, 2008, Journal of Physiology-Paris.

Extraction of Illusory Contours by Perceptual Grouping

Heiko Neumann, Laurent Redouloux, Enno Littmann, 1996, DAGM-Symposium.

Learning Shape Models from Examples

Dariu Gavrila, Heiko Neumann, Jan Giebel, 2001, DAGM-Symposium.

Towards a mesoscopic-level canonical circuit definition for visual cortical processing

Tobias Brosch, Heiko Neumann, Georg Layher, 2016, BICT.

Perceptual Crowding in a Neural Model of Feedforward-Feedback Interactions

Tobias Brosch, Heiko Neumann, H. Neumann, 2012 .

Extracting and depicting the 3D shape of specular surfaces

Heiko Neumann, Ulrich Weidenbacher, Roland W. Fleming, 2005, APGV '05.

Adaptive resonance in V1-V2 interaction: grouping, illusory contours, and RF-organiation

Heiko Neumann, Wolfgang Sepp, Petra Mössner, 1997 .

KIFS '92, ein Rückblick

Heiko Neumann, Christiane Löckenhoff, Christoph Thomas, 1992, Künstliche Intell..

Morphological Scale-Space Decomposition for Segmenting the Ventricular Structure in Cardiac MR Images

Hans A. Kestler, Heiko Neumann, Haythem El-Messiry, 2003, Bildverarbeitung für die Medizin.

Finding and describing local structure in discrete two-dimensional computed tomograms

Heiko Neumann, H. S. Stiehl, K. Ottenberg, 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis,.

Neural Mechanisms of Visual Flow Integration and Segregation - Insights from the Pinna-Brelstaff Illusion and Variations of It

Heiko Neumann, Pierre Bayerl, H. Neumann, 2002, Biologically Motivated Computer Vision.

Combined space-variant maps for optical-flow-based navigation

Heiko Neumann, Gregory Baratoff, Christian Toepfer, 2000, Biological Cybernetics.

A neural model for heading detection from optic flow

Heiko Neumann, Frank Seifart, Pierre Bayerl, 2003, ESANN.

A compartmental model of feedback modulation in visual cortex

Heiko Neumann, Christian Jarvers, H. Neumann, 2019, Journal of Vision.

Towards the Separation of Rigid and Non-rigid Motions for Facial Expression Analysis

Stephan Tschechne, Heiko Neumann, Ayoub Al-Hamadi, 2015, 2015 International Conference on Intelligent Environments.

Adaptive dynamic network architectures for companion systems

Heiko Neumann, Christian Jarvers, H. Neumann, 2017, 2017 International Conference on Companion Technology (ICCT).

Generation of sketch-like feature encodings in oriented faces - A neural model

Heiko Neumann, Ulrich Weidenbacher, Pierre Bayerl, 2010 .

Ortsvariante Karte als effektives Datenformat zur Integration visueller Navigationsaufgaben

Heiko Neumann, Gregory Baratoff, Christian Toepfer, 1998, DAGM-Symposium.

Motion estimation of magnetic resonance cardiac images using the Wigner-Ville and hough transforms

Heiko Neumann, Gabriel Cristóbal, Pierre Bayerl, 2007 .

Ordinal depth from occlusion using optical flow: A neural model

Stephan Tschechne, Heiko Neumann, H. Neumann, 2011 .

An Efficient Linear Method for the Estimation of Ego-Motion from Optical Flow

Heiko Neumann, Florian Raudies, H. Neumann, 2009, DAGM-Symposium.

Embodied learning of a generative neural model for biological motion perception and inference

Martin V. Butz, Heiko Neumann, Fabian Schrodt, 2015, Front. Comput. Neurosci..

Neural Mechanisms for Form and Motion Detection and Integration: Biology Meets Machine Vision

Heiko Neumann, Florian Raudies, H. Neumann, 2012, ECCV Workshops.

Bio-inspired motion estimation { From modelling to evaluation, can biology be a source of inspiration?

Pierre Kornprobst, Heiko Neumann, Olivier Faugeras, 2010 .

The PIT Corpus of German Multi-Party Dialogues

Günther Palm, Holger Hoffmann, Heiko Neumann, 2008, LREC.

Neural Mechanisms of Motion Detection, Integration, and Segregation: From Biology to Artificial Image Processing Systems

Pierre Kornprobst, Heiko Neumann, Jan D. Bouecke, 2011, EURASIP J. Adv. Signal Process..

Neural Model of Cortical Dynamics in Resonant Boundary Detection and Grouping

Heiko Neumann, Petra Mössner, H. Neumann, 1996, ICANN.

Detection and classification of obstacles in night vision traffic scenes based on infrared imagery

Heiko Neumann, Werner Ritter, U. Meis, 2003, Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems.

Unsupervised Learning of Head Pose through Spike-Timing Dependent Plasticity

Heiko Neumann, Ulrich Weidenbacher, 2008, PIT.

Recurrent Long-Range Interactions in Early Vision

Heiko Neumann, Wolfgang Sepp, Thorsten Hansen, 2001, Emergent Neural Computational Architectures Based on Neuroscience.

Reinforcement Learning of Linking and Tracing Contours in Recurrent Neural Networks

Pieter R. Roelfsema, Tobias Brosch, Heiko Neumann, 2015, PLoS Comput. Biol..

Disambiguating Visual Motion by Form-Motion Interaction—a Computational Model

Heiko Neumann, Pierre Bayerl, H. Neumann, 2007, International Journal of Computer Vision.

Extraction of Image Domain Primitives with a Network of Competitive/Cooperative Processes

Heiko Neumann, 1988, GWAI.

An Empirical Study towards Understanding How Deep Convolutional Nets Recognize Falls pdf

Yan Zhang, Heiko Neumann, 2018, ECCV Workshops.

Multiple Classifier Systems for the Classification of Audio-Visual Emotional States

Markus Kächele, Günther Palm, Friedhelm Schwenker, 2011, ACII.

Iterated tensor voting and curvature improvement

Heiko Neumann, Gabriel Cristóbal, Sylvain Fischer, 2007, Signal Process..

A Contrast- and Luminance-driven Multiscale Network Model of Brightness Perception

Heiko Neumann, Ennio Mingolla, Luiz Pessoa, 1995, Vision Research.

Analysis of Articulated Motion for Social Signal Processing

Heiko Neumann, Michael Glodek, Georg Layher, 2017, Companion Technology.

A Fast Biologically Inspired Algorithm for Recurrent Motion Estimation

Heiko Neumann, Pierre Bayerl, H. Neumann, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Bio-Inspired, Computational Model Suggests Velocity Gradients of Optic Flow Locally Encode Ordinal Depth at Surface Borders and Globally They Encode Self-Motion

Heiko Neumann, Florian Raudies, Stefan Ringbauer, 2013, Neural Computation.

A review and evaluation of methods estimating ego-motion

Heiko Neumann, Florian Raudies, H. Neumann, 2012, Comput. Vis. Image Underst..

Local Temporal Bilinear Pooling for Fine-Grained Action Parsing

Heiko Neumann, Krikamol Muandet, Yan Zhang, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

High‐resolution respiratory self‐gated golden angle cardiac MRI: Comparison of self‐gating methods in combination with k‐t SPARSE SENSE

Heiko Neumann, Volker Rasche, Stefan Wundrak, 2015, Magnetic resonance in medicine.

Mechanisms of Neural Architecture for Visual Contrast and Brightness Perception

Heiko Neumann, H. Neumann, 1996, Neural Networks.

Complex Neuron Dynamics on the IBM TrueNorth Neurosynaptic System

Heiko Neumann, Maximilian P. R. Löhr, Christian Jarvers, 2020, 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS).

Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database

Patrick Thiam, Friedhelm Schwenker, Elisabeth André, 2019, IEEE Transactions on Affective Computing.

A model of V1 visual contrast processing utilizing long-range connections and recurrent interactions

Heiko Neumann, Thorsten Hansen, H. Neumann, 1999 .

A neurodynamical retinal network based on reaction-diffusion systems

Heiko Neumann, Gabriel Cristóbal, Matthias S. Keil, 2001, Proceedings 11th International Conference on Image Analysis and Processing.

A view-based approach for object recognition from image sequences

Heiko Neumann, Pierre Bayerl, A. Zehender, 2003, ESANN.

Towards a bio-inspired evaluation methodology for motion estimation models

Pierre Kornprobst, Heiko Neumann, Jan D. Bouecke, 2010 .

Neural Mechanisms for Mid-Level Optical Flow Pattern Detection

Heiko Neumann, Pierre Bayerl, Stefan Ringbauer, 2007, ICANN.

Modeling perspective-taking upon observation of 3D biological motion

Martin V. Butz, Heiko Neumann, Fabian Schrodt, 2014, 4th International Conference on Development and Learning and on Epigenetic Robotics.

Multi-level Face Tracking for Estimating Human Head Orientation in Video Sequences

Heiko Neumann, Pierre Bayerl, Tobias Bausch, 2006, PIT.

An audiovisual political speech analysis incorporating eye-tracking and perception data

John Kane, Nick Campbell, Heiko Neumann, 2012, LREC.

Recurrent V1–V2 interaction in early visual boundary processing

Heiko Neumann, Wolfgang Sepp, H. Neumann, 1999, Biological Cybernetics.

Anisotropic Diffusion Based on Mean Curvature Motion: A Computational Study

Heiko Neumann, R. Seydel, T. Franke, 1996, DAGM-Symposium.

Segmentation of Independently Moving Objects Using a Maximum-Likelihood Principle

Heiko Neumann, Pierre Bayerl, Martin Clauss, 2005, Autonome Mobile Systeme.

Neural Mechanisms for Representing Surface and Contour Features

Heiko Neumann, Thorsten Hansen, H. Neumann, 2001, Emergent Neural Computational Architectures Based on Neuroscience.

Binaural Signal Integration Improves Vertical Sound Source Localization

Heiko Neumann, Timo Oess, Marc O. Ernst, 2020, bioRxiv.

Landmark Rating and Selection for SLAM in Dynamic Environments

Heiko Neumann, Christian Schlegel, Siegfried Hochdorfer, 2014, IAS.

Continuous activity understanding based on accumulative pose-context visual patterns

Yan Zhang, Heiko Neumann, Georg Layher, 2017, 2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA).

Cortical simple cells: modeling physiology and image processing applications

Heiko Neumann, Enno Littmann, L. Pessoa, 1996, Proceedings II Workshop on Cybernetic Vision.

A simple cell model with dominating opponent inhibition for robust contrast detection

Heiko Neumann, Gregory Baratoff, Thorsten Hansen, 2000, Kognitionswissenschaft.

Lokale stereoskopische Tiefenschätzung

Heiko Neumann, Bernd Neumann, Kai-Oliver Ludwig, 1991, DAGM-Symposium.

A Bio-Inspired Model of Sound Source Localization on Neuromorphic Hardware

Heiko Neumann, Daniel Schmid, Timo Oess, 2020, 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS).

Neural mechanisms for segregation and recovering of intrinsic image features

Heiko Neumann, Gabriel Cristóbal, Matthias S. Keil, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Perceptual Motion Illusions as a Tool to Probe Neural Mechanisms of Motion Integration in the V1-MT-MSTl Feedforward-Feedback System

Heiko Neumann, Daniel Schmid, Maximilian P. R. Lohr, 2019 .

The first spike counts: A model for STDP learning pose specific representations for estimating view direction

Heiko Neumann, Ulrich Weidenbacher, H. Neumann, 2010 .

A Neural Model of Human Texture Processing: Texture Segmentation vs. Visual Search

Heiko Neumann, Axel Thielscher, Anna Schubö, 2002, Biologically Motivated Computer Vision.

Towards a Neural Architecture for Unified Visual Contrast and Brightness Perception

Heiko Neumann, H. Siegfried Stiehl, H. Neumann, 1993 .

On Scale-Space Edge Detection in Computed Tomograms

Heiko Neumann, H. Siegfried Stiehl, Svend Back, 1989, DAGM-Symposium.

Evaluating the Comprehensibility of Graphical Business Process Models – An Eye Tracking Study

Manfred Reichert, Rüdiger Pryss, Michael Zimoch, 2017 .

Interaction of ON and OFF pathways for visual contrast measurement

Heiko Neumann, Thorsten Hansen, Luiz Pessoa, 1999, Biological Cybernetics.

Computing with a Canonical Neural Circuits Model with Pool Normalization and Modulating Feedback

Tobias Brosch, Heiko Neumann, H. Neumann, 2014, Neural Computation.

On Segmenting Computed Tomograms

Heiko Neumann, H. S. Stiehl, S. Back, 1989 .

Adaptive Resonance in V1–V2 Interaction

Heiko Neumann, Wolfgang Sepp, Petra Mössner, 1997 .

Neural model for visual contrast detection

Heiko Neumann, Luiz Pessoa, Enno Littmann, 1996, ESANN.

A simple cell model with dominating opponent inhibition for robust image processing

Heiko Neumann, Thorsten Hansen, H. Neumann, 2004, Neural Networks.

A Biological Neural Network of Visual Cell Responses: Static and Motion Processing

Heiko Neumann, Alexander Grunewald, Luiz Pessoa, 1997, J. Braz. Comput. Soc..

Detection of First and Second Order Motion

Heiko Neumann, Alexander Grunewald, 1997, NIPS.

Local stereoscopic depth estimation

Heiko Neumann, Bernd Neumann, Kai-Oliver Ludwig, 1994, Image Vis. Comput..

Local stereoscopic depth estimation using ocular stripe maps

Heiko Neumann, Bernd Neumann, Kai-Oliver Ludwig, 1992, Theoretical Foundations of Computer Vision.

Interaction of ON and OFF pathways for visual contrast measurement

Heiko Neumann, Thorsten Hansen, Luiz Pessoa, 2008, Biological Cybernetics.

Neural Architecture for Temporal Emotion Classification

Heiko Neumann, Roland Schweiger, Pierre Bayerl, 2004, ADS.

The Combination of HMAX and HOGs in an Attention Guided Framework for Object Localization

Tobias Brosch, Heiko Neumann, H. Neumann, 2012, ICPRAM.

The Brain's Sequential Parallelism: Perceptual Decision-Making and Early Sensory Responses

Tobias Brosch, Heiko Neumann, H. Neumann, 2012, ICONIP.

Biologically Inspired Model for Inference of 3D Shape from Texture

Heiko Neumann, Olman Gomez, H. Neumann, 2016, PloS one.

Incorporating Feedback in Convolutional Neural Networks

Heiko Neumann, Christian Jarvers, H. Neumann, 2019, 2019 Conference on Cognitive Computational Neuroscience.

Training De-Confusion: An Interactive, Network-Supported Visual Analysis System for Resolving Errors in Image Classification Training Data pdf

Timo Ropinski, Heiko Neumann, Alex Bäuerle, 2018, ArXiv.

Modeling Binocular and Motion Transparency Processing by Local Center-Surround Interactions

Heiko Neumann, Florian Raudies, H. Neumann, 2013 .

Novel theory on mach-bands and gradient formation in early vision

Heiko Neumann, Matthias S. Keil, Gabriel Cristobal, 2003, SPIE Microtechnologies.

Completion Phenomena in Vision: A Computational Approach

Heiko Neumann, H. Neumann, 2003 .

Contrast Detection in Event-Streams from Dynamic Vision Sensors with Fixational Eye Movements

Heiko Neumann, Maximilian P. R. Löhr, H. Neumann, 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

Visual filling-in and surface property reconstruction

Heiko Neumann, Luiz Pessoa, L. Pessoa, 2013 .

Sparse Nonlinear Discriminants

Andreas Wendemuth, Heiko Neumann, H. Neumann, 2007 .

Proceedings of the 2006 international tutorial and research conference on Perception and Interactive Technologies

Laila Dybkjær, Heiko Neumann, Wolfgang Minker, 2006 .

Detection of Head Pose and Gaze Direction for Human-Computer Interaction

Heiko Neumann, Ulrich Weidenbacher, Pierre Bayerl, 2006, PIT.

Recovering real-world images from single-scale boundaries with a novel filling-in architecture

Heiko Neumann, Gabriel Cristóbal, Matthias S. Keil, 2005, Neural Networks.

Biologically Inspired Attentive Motion Analysis for Video Surveillance

Heiko Neumann, Florian Raudies, 2008, VISAPP.

The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System

Patrick Thiam, Sascha Meudt, Friedhelm Schwenker, 2016, MPRSS.

Learning Representations for Animated Motion Sequence and Implied Motion Recognition

Martin A. Giese, Heiko Neumann, Georg Layher, 2012, ICANN.

Fully Convolutional Region Proposal Networks for Multispectral Person Detection

Heiko Neumann, Michael Teutsch, Michael Adam, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Temporal Learning of Dynamics in Complex Neuron Models using Backpropagation

Heiko Neumann, Daniel Schmid, Christian Jarvers, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Human Motion Parsing by Hierarchical Dynamic Clustering

Yan Zhang, Heiko Neumann, He Sun, 2018, BMVC.

Neural Mechanisms for the Robust Representation of Junctions

Heiko Neumann, Thorsten Hansen, H. Neumann, 2004, Neural Computation.

A Biologically Inspired Model for the Detection of External and Internal Head Motions

Stephan Tschechne, Heiko Neumann, Georg Layher, 2013, ICANN.

A Neural Model of Binocular Transparent Depth Perception

Heiko Neumann, Florian Raudies, Ennio Mingolla, 2010 .

Space-variant dynamic neural fields for visual attention

Heiko Neumann, Ingo Ahrns, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Facial expression recognition based on geometric and optical flow features in colour image sequences

Aly A. Farag, Heiko Neumann, Ayoub Al-Hamadi, 2012 .

A Neural Architecture for Emergent Visual Contrast, Brightness, and Space Perception

Heiko Neumann, H. Siegfried Stiehl, Lothar Wieske, 1993, DAGM-Symposium.

Interaction of feedforward and feedback streams in visual cortex in a firing-rate model of columnar computations

Tobias Brosch, Heiko Neumann, H. Neumann, 2014, Neural Networks.

Recurrent V1-V2 interaction for early visual information processing

Heiko Neumann, Wolfgang Sepp, 1999, ESANN.

Motion Integration and Disambiguation concerted by Feedforward-Feedback Interactions of V1-MT-MSTl

Heiko Neumann, Daniel Schmid, Maximilian P. R. Lohr, 2019, Journal of Vision.

A Model of Motion Transparency Processing with Local Center-Surround Interactions and Feedback

Heiko Neumann, Ennio Mingolla, Florian Raudies, 2011, Neural Computation.

Real-Time Biologically Inspired Action Recognition from Key Poses Using a Neuromorphic Architecture

Tobias Brosch, Heiko Neumann, Georg Layher, 2017, Front. Neurorobot..

Combining form and motion - an integrated approach for learning biological motion representations

Heiko Neumann, Georg Layher, H. Neumann, 2013 .

A Bio-Inspired Evaluation Methodology for Motion Estimation

Pierre Kornprobst, Heiko Neumann, Jan D. Bouecke, 2010 .

Feature attention in motion perception - a computational account

Heiko Neumann, Pierre Bayerl, H. Neumann, 2010 .

Globally consistent depth sorting of overlapping 2D surfaces in a model using local recurrent interactions

Heiko Neumann, Axel Thielscher, H. Neumann, 2008, Biological Cybernetics.

Event-based optical flow on neuromorphic hardware

Tobias Brosch, Heiko Neumann, H. Neumann, 2016, BICT.

Neural model of nonlinear subfield integration in cortical simple cells

Heiko Neumann, Enno Littmann, L. Pessoa, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

Visual Attention in Auditory Display

Heiko Neumann, Michael Weber, Pierre Bayerl, 2006, PIT.

Orientation Contrast Detection in Space-Variant Images

Heiko Neumann, Ralph Schönfelder, Gregory Baratoff, 2000, Biologically Motivated Computer Vision.

Utilizing the Capabilities Offered by Eye-Tracking to Foster Novices' Comprehension of Business Process Models

Manfred Reichert, Rüdiger Pryss, Michael Zimoch, 2018, ICCC.

Optic Flow Integration at Multiple Spatial Frequencies - Neural Mechanism and Algorithm

Heiko Neumann, Cornelia Beck, Pierre Bayerl, 2006, ISVC.

Learning Representations of Animated Motion Sequences - A Neural Model

Martin A. Giese, Heiko Neumann, Georg Layher, 2014, Top. Cogn. Sci..

Mechanisms of Adaptive Spatial Integration in a Neural Model of Cortical Motion Processing

Stephan Tschechne, Heiko Neumann, Stefan Ringbauer, 2011, ICANNGA.

A computational model of recurrent, colinear long-range interaction in V1 for contour enhancement and junction detection

Heiko Neumann, Thorsten Hansen, H. Neumann, 2010 .

Bio-inspired computer vision: Towards a synergistic approach of artificial and biological vision

Pierre Kornprobst, Heiko Neumann, Guillaume S. Masson, 2016, Comput. Vis. Image Underst..

Computational principles of neural adaptation for binaural signal integration

Heiko Neumann, Timo Oess, Marc O Ernst, 2020, PLoS computational biology.

Integration of geometric and dynamic features for facial expression recognition in color image sequences

Heiko Neumann, Ayoub Al-Hamadi, Bernd Michaelis, 2010, 2010 International Conference of Soft Computing and Pattern Recognition.

A Statistical Measure for Evaluating Regions-of-Interest Based Attention Algorithms

Heiko Neumann, Pierre Bayerl, Martin Clauss, 2004, DAGM-Symposium.

The Role of Bottom-Up and Top-Down Cortical Interactions in Adaptation to Natural Scene Statistics

Heiko Neumann, Katharina Rifai, Siegfried Wahl, 2019, Front. Neural Circuits.

Visual Processing in Cortical Architecture from Neuroscience to Neuromorphic Computing

Tobias Brosch, Stephan Tschechne, Heiko Neumann, 2015, BrainComp.

Neural mechanisms of action recognition and implied motion

Heiko Neumann, Georg Layher, H. Neumann, 2012 .

Temporal Human Action Segmentation via Dynamic Clustering pdf

Yan Zhang, Heiko Neumann, He Sun, 2018, ArXiv.

A comprehensive head pose and gaze database

Heiko Neumann, Ulrich Weidenbacher, P.-M. Strauss, 2007 .

A neural model of the temporal dynamics of figure-ground segregation in motion perception

Heiko Neumann, Florian Raudies, H. Neumann, 2010, Neural Networks.

Perception and Interactive Technologies: International Tutorial and Research Workshop, Kloster Irsee, PIT 2006, Germany, June 19-21, 2006 (Lecture Notes in Computer Science)

Laila Dybkjær, Heiko Neumann, Wolfgang Minker, 2006 .

Multiscale Binarization of Gene Expression Data for Reconstructing Boolean Networks

Hans A. Kestler, Heiko Neumann, Markus Maucher, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Nonlinear interaction of ON and OFF data streams for the detection of visual structure

Heiko Neumann, Luiz Pessoa, Enno Littmann, 1996, Proceedings of 13th International Conference on Pattern Recognition.

Perceptual learning for speed discrimination in optical flow

Heiko Neumann, Florian Raudies, Stefan Ringbauer, 2010 .

On Ramp-Edge Preserving Weak Membrane Reconstruction of Smooth Intensity Functions from 2-D Computed Tomograms

Heiko Neumann, H. Siegfried Stiehl, Martin Fick, 1993, DAGM-Symposium.

Modellgestützte Analyse von kranialen Computer-Tomogrammen

Heiko Neumann, H. Siegfried Stiehl, D. Bartels, 1981, DAGM-Symposium.

A Bio-Inspired, Motion-Based Analysis of Crowd Behavior Attributes Relevance to Motion Transparency, Velocity Gradients, and Motion Patterns

Heiko Neumann, Florian Raudies, H. Neumann, 2012, PloS one.

A generic framework for the inference of user states in human computer interaction

Günther Palm, Friedhelm Schwenker, Tobias Brosch, 2012, Journal on Multimodal User Interfaces.

Model investigation on contribution of feedback in distortion induced motion adaptation

Heiko Neumann, Katharina Rifai, Siegfried Wahl, 2018 .

A neuroinspired cognitive behavioral control architecture for visually driven mobile robotics

Antonio Frisoli, Massimo Bergamasco, Gustavo Deco, 2009, 2008 IEEE International Conference on Robotics and Biomimetics.

Disambiguating Visual Motion Through Contextual Feedback Modulation

Heiko Neumann, Pierre Bayerl, H. Neumann, 2004, Neural Computation.

Robust Stereoscopic Head Pose Estimation in Human-Computer Interaction and a Unified Evaluation Framework

Heiko Neumann, Ayoub Al-Hamadi, Bernd Michaelis, 2011, ICIAP.

uulmMAD - A Human Action Recognition Dataset for Ground-Truth Evaluation and Investigation of View Invariances

Günther Palm, Friedhelm Schwenker, Heiko Neumann, 2014, MPRSS.

Gradient representation and perception in the early visual system—A novel account of Mach band formation

Heiko Neumann, Gabriel Cristóbal, Matthias S. Keil, 2006, Vision Research.

Dominating Opponent Inhibition of On and Off Pathways for Robust Contrast Detection

Heiko Neumann, Gregory Baratoff, Thorsten Hansen, 1999, DAGM-Symposium.

Visual Confusion Recognition in Movement Patterns from Walking Path and Motion Energy

Yan Zhang, Heiko Neumann, Steffen Walter, 2017, ICOST.

Robot navigation by combining central and peripheral optical flow detection on a space-variant map

Heiko Neumann, Gregory Baratoff, Christian Toepfer, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Social Signal Processing in Companion Systems - Challenges Ahead

Tobias Brosch, Stephan Tschechne, Heiko Neumann, 2011, GI-Jahrestagung.

On the Capacity of Quantitative Computational Shape Recovery from Local Shading Information

Heiko Neumann, 1989, DAGM-Symposium.

Hierarchical representation of shapes in visual cortex—from localized features to figural shape segregation

Stephan Tschechne, Heiko Neumann, H. Neumann, 2014, Front. Comput. Neurosci..

Defining Gaze Patterns for Process Model Literacy - Exploring Visual Routines in Process Models with Diverse Mappings pdf

Manfred Reichert, Heiko Neumann, Thomas Probst, 2021, Expert Syst. Appl..

Active Gaze Control Improves Optic Flow-Based Segmentation and Steering

Heiko Neumann, Ennio Mingolla, Florian Raudies, 2012, PloS one.

Ventral extra-striate cortical areas are required for human visual texture segmentation.

Heiko Neumann, Harriet A Allen, Glyn W Humphreys, 2009, Journal of vision.

Emotional Trace: Mapping of Facial Expression to Valence-arousal Space

Heiko Neumann, Ayoub Al-Hamadi, Sebastian Handrich, 2016 .

Colored and anchored Active Shape Models for tracking and form description of the facial features under image-specific disturbances

Heiko Neumann, Ayoub Al-Hamadi, Bernd Michaelis, 2010, 2010 5th International Symposium On I/V Communications and Mobile Network.

An Outline of a Neural Architecture for Unified Visual Contrast and Brightness Perception

Heiko Neumann, H. Neumann, 1994 .

Combining Feature Selection and Integration—A Neural Model for MT Motion Selectivity

Heiko Neumann, H. Neumann, Cornelia Beck, 2011, PloS one.

QUANTITATIVE DESCRIPTION AND RECONSTRUCTION OF INTENSITY FUNCTIONS USING SCALE-SPACE AND MULTIRESOLUTION PROCESSING

Heiko Neumann, H. Siegfried Stiehl, Karsten Ottenberg, 1992 .

Computational Neural Models of Spatial Integration in Perceptual Grouping

Heiko Neumann, Ennio Mingolla, E. Mingolla, 2001 .