Modellgestützte Analyse von kranialen Computer-Tomogrammen. - D. Bartels; Heiko Neumann; H. Siegfried Stiehl (DAGM-Symposium, 1981)

Extraction of Image Domain Primitives with a Network of Competitive/Cooperative Processes. - Heiko Neumann (GWAI, 1988)

Theoretische Untersuchungen zur Extraktion monokularer Tiefenhinweise (Konturen und Schattierung) und ihre partielle methodische Evaluierung in einem rechnergestützten Perzeptionslabor. - Heiko Neumann (1988)

On Scale-Space Edge Detection in Computed Tomograms. - Svend Back; Heiko Neumann; H. Siegfried Stiehl (DAGM-Symposium, 1989)

On the Capacity of Quantitative Computational Shape Recovery from Local Shading Information. - Heiko Neumann (DAGM-Symposium, 1989)

A Competitive/Cooperative (Artificial Neutral) Network Approach to the Extraction of N-th Order Edge Junctions. - Heiko Neumann; H. Siegfried Stiehl (DAGM-Symposium, 1989)

Lokale stereoskopische Tiefenschätzung. - Kai-Oliver Ludwig; Bernd Neumann; Heiko Neumann (DAGM-Symposium, 1991)

Local Stereoscopic Depth Estimation Using Ocular Stripe Maps. - Kai-Oliver Ludwig; Heiko Neumann; Bernd Neumann (ECCV, 1992)

Estimating attributes of smooth signal transitions from scale-space. - Heiko Neumann; Karsten Ottenberg (ICPR (3), 1992)

Finding and describing local structure in discrete two-dimensional computed tomograms. - Heiko Neumann; Karsten Ottenberg; H. Siegfried Stiehl (ICPR (3), 1992)

KIFS '92, ein Rückblick. - Manfred Kopisch; Heiko Neumann; Birte Prahl; Matthias Kalle Dalheimer; Christiane Löckenhoff; Christoph Thomas; Enno Littmann; Kai Seim (Künstliche Intell., 1992)

A Neural Architecture for Emergent Visual Contrast, Brightness, and Space Perception. - Ian R. Billups; Heiko Neumann; H. Siegfried Stiehl; Lothar Wieske (DAGM-Symposium, 1993)

On Ramp-Edge Preserving Weak Membrane Reconstruction of Smooth Intensity Functions from 2-D Computed Tomograms. - Martin Fick; Heiko Neumann; Karsten Ottenberg; H. Siegfried Stiehl (DAGM-Symposium, 1993)

Local stereoscopic depth estimation. - Kai-Oliver Ludwig; Heiko Neumann; Bernd Neumann (Image Vis. Comput., 1994)

Neuroinformatische Modellbildung zur visuellen Informationsverarbeitung. - Heiko Neumann (Künstliche Intell., 1995)

Anisotropic Diffusion Based on Mean Curvature Motion: A Computational Study. - T. Franke; Heiko Neumann; R. Seydel (DAGM-Symposium, 1996)

Extraction of Illusory Contours by Perceptual Grouping. - Enno Littmann; Heiko Neumann; Laurent Redouloux (DAGM-Symposium, 1996)

Neural model for visual contrast detection. - Enno Littmann; Heiko Neumann; Luiz Pessoa (ESANN, 1996)

Neural Model of Cortical Dynamics in Resonant Boundary Detection and Grouping. - Heiko Neumann; Petra Mössner (ICANN, 1996)

Neural model of nonlinear subfield integration in cortical simple cells. - Enno Littmann; Heiko Neumann; Luiz Pessoa (ICNN, 1996)

Nonlinear interaction of ON and OFF data streams for the detection of visual structure. - Enno Littmann; Heiko Neumann; Luiz Pessoa (ICPR, 1996)

Mechanisms of Neural Architecture for Visual Contrast and Brightness Perception. - Heiko Neumann (Neural Networks, 1996)

Detection of First and Second Order Motion. - Alexander Grunewald; Heiko Neumann (NIPS, 1997)

A Biological Neural Network of Visual Cell Responses: Static and Motion Processing. - Luiz Pessoa; Alexander Grunewald; Heiko Neumann; Enno Littmann (J. Braz. Comput. Soc., 1997)

Improving Phase-Based Disparity Estimation by Means of Filter Tuning Techniques. - Ingo Ahrns; Heiko Neumann (DAGM-Symposium, 1998)

Ortsvariante Karte als effektives Datenformat zur Integration visueller Navigationsaufgaben. - Christian Toepfer; Gregory Baratoff; Moritz Wende; Heiko Neumann (DAGM-Symposium, 1998)

Real-time monocular fixation control using the log-polar transformation and a confidence-based similarity measure. - Ingo Ahrns; Heiko Neumann (ICPR, 1998)

Robot navigation by combining central and peripheral optical flow detection on a space-variant map. - Christian Toepfer; Moritz Wende; Gregory Baratoff; Heiko Neumann (ICPR, 1998)

A neural architecture of brightness perception: non-linear contrast detection and geometry-driven diffusion. - Heiko Neumann; Luiz Pessoa; Ennio Mingolla (Image Vis. Comput., 1998)

Space-Variant Dynamic Neural Fields for Visual Attention. - Ingo Ahrns; Heiko Neumann (CVPR, 1999)

Dominating Opponent Inhibition of On and Off Pathways for Robust Contrast Detection. - Thorsten Hansen; Gregory Baratoff; Heiko Neumann (DAGM-Symposium, 1999)

Recurrent V1-V2 interaction for early visual information processing. - Heiko Neumann; Wolfgang Sepp (ESANN, 1999)

Interaction of ON and OFF pathways for visual contrast measurement. - Heiko Neumann; Luiz Pessoa; Thorsten Hansen (Biol. Cybern., 1999)

Recurrent V1-V2 interaction in early visual boundary processing. - Heiko Neumann; Wolfgang Sepp (Biol. Cybern., 1999)

Ortsvariantes aktives Sehen: Von biologisches Motivation zu technisches Realisation. - Gregory Baratoff; Ingo Ahrns; Christian Toepfer; Heiko Neumann (Künstliche Intell., 1999)

Orientation Contrast Detection in Space-Variant Images. - Gregory Baratoff; Ralph Schönfelder; Ingo Ahrns; Heiko Neumann (Biologically Motivated Computer Vision, 2000)

Combined space-variant maps for optical-flow-based navigation. - Gregory Baratoff; Christian Toepfer; Heiko Neumann (Biol. Cybern., 2000)

A simple cell model with dominating opponent inhibition for robust contrast detection. - Thorsten Hansen; Gregory Baratoff; Heiko Neumann (Kognitionswissenschaft, 2000)

Learning Shape Models from Examples. - Dariu Gavrila; Jan Giebel; Heiko Neumann (DAGM-Symposium, 2001)

A Neurodynamical Retinal Network Based on Reaction-Diffusion Systems. - Matthias S. Keil; Gabriel Cristóbal; Heiko Neumann (ICIAP, 2001)

Neural Mechanisms for Representing Surface and Contour Features. - Thorsten Hansen; Heiko Neumann (Emergent Neural Computational Architectures Based on Neuroscience, 2001)

Recurrent Long-Range Interactions in Early Vision. - Thorsten Hansen; Wolfgang Sepp; Heiko Neumann (Emergent Neural Computational Architectures Based on Neuroscience, 2001)

Visual filling-in for computing perceptual surface properties. - Heiko Neumann; Luiz Pessoa; Thorsten Hansen (Biol. Cybern., 2001)

Neural Mechanisms of Visual Flow Integration and Segregation - Insights from the Pinna-Brelstaff Illusion and Variations of It. - Pierre Bayerl; Heiko Neumann (Biologically Motivated Computer Vision, 2002)

A Biologically Motivated Scheme for Robust Junction Detection. - Thorsten Hansen; Heiko Neumann (Biologically Motivated Computer Vision, 2002)

A Neural Model of Human Texture Processing: Texture Segmentation vs. Visual Search. - Axel Thielscher; Anna Schubö; Heiko Neumann (Biologically Motivated Computer Vision, 2002)

Morphological Scale-Space Decomposition for Segmenting the Ventricular Structure in Cardiac MR Images. - Haythem El-Messiry; Hans A. Kestler; Olaf Grebe; Heiko Neumann (Bildverarbeitung für die Medizin, 2003)

A neural model for heading detection from optic flow. - Frank Seifart; Pierre Bayerl; Heiko Neumann (ESANN, 2003)

A view-based approach for object recognition from image sequences. - A. Zehender; Pierre Bayerl; Heiko Neumann (ESANN, 2003)

Neural mechanisms for segregation and recovering of intrinsic image features. - Matthias S. Keil; Gabriel Cristóbal; Heiko Neumann (ICIP (1), 2003)

Neural Architecture for Temporal Emotion Classification. - Roland Schweiger; Pierre Bayerl; Heiko Neumann (ADS, 2004)

A Model of Motion, Stereo, and Monocular Depth Perception. - Pierre Bayerl; Heiko Neumann (DAGM-Symposium, 2004)

A Statistical Measure for Evaluating Regions-of-Interest Based Attention Algorithms. - Martin Clauss; Pierre Bayerl; Heiko Neumann (DAGM-Symposium, 2004)

Are Iterations and Curvature Useful for Tensor Voting? - Sylvain Fischer; Pierre Bayerl; Heiko Neumann; Gabriel Cristóbal; Rafael Redondo (ECCV (3), 2004)

Disambiguating Visual Motion Through Contextual Feedback Modulation. - Pierre Bayerl; Heiko Neumann (Neural Comput., 2004)

Neural Mechanisms for the Robust Representation of Junctions. - Thorsten Hansen; Heiko Neumann (Neural Comput., 2004)

A simple cell model with dominating opponent inhibition for robust image processing. - Thorsten Hansen; Heiko Neumann (Neural Networks, 2004)

Segmentation of Independently Moving Objects Using a Maximum-Likelihood Principle. - Martin Clauss; Pierre Bayerl; Heiko Neumann (AMS, 2005)

Extracting and depicting the 3D shape of specular surfaces. - Ulrich Weidenbacher; Pierre Bayerl; Roland W. Fleming; Heiko Neumann (APGV, 2005)

Recovering real-world images from single-scale boundaries with a novel filling-in architecture. - Matthias S. Keil; Gabriel Cristóbal; Thorsten Hansen; Heiko Neumann (Neural Networks, 2005)

Optic Flow Integration at Multiple Spatial Frequencies - Neural Mechanism and Algorithm. - Cornelia Beck; Pierre Bayerl; Heiko Neumann (ISVC (1), 2006)

Wizard-of-Oz Data Collection for Perception and Interaction in Multi-User Environments. - Petra-Maria Strauß; Holger Hoffmann; Wolfgang Minker; Heiko Neumann; Günther Palm; Stefan Scherer; Friedhelm Schwenker; Harald C. Traue; Welf Walter; Ulrich Weidenbacher (LREC, 2006)

Multi-level Face Tracking for Estimating Human Head Orientation in Video Sequences. - Tobias Bausch; Pierre Bayerl; Heiko Neumann (PIT, 2006)

Visual Attention in Auditory Display. - Thorsten D. Mahler; Pierre Bayerl; Heiko Neumann; Michael Weber 001 (PIT, 2006)

Detection of Head Pose and Gaze Direction for Human-Computer Interaction. - Ulrich Weidenbacher; Georg Layher; Pierre Bayerl; Heiko Neumann (PIT, 2006)

Sketching shiny surfaces: 3D shape extraction and depiction of specular surfaces. - Ulrich Weidenbacher; Pierre Bayerl; Heiko Neumann; Roland W. Fleming (ACM Trans. Appl. Percept., 2006)

Integration of Multiple Temporal and Spatial Scales for Robust Optic Flow Estimation in a Biologically Inspired Algorithm. - Cornelia Beck; Thomas Gottbehuet; Heiko Neumann (CAIP, 2007)

Neural Mechanisms for Mid-Level Optical Flow Pattern Detection. - Stefan Ringbauer; Pierre Bayerl; Heiko Neumann (ICANN (2), 2007)

A neural model of feature attention in motion perception. - Pierre Bayerl; Heiko Neumann (Biosyst., 2007)

Disambiguating Visual Motion by Form-Motion Interaction - a Computational Model. - Pierre Bayerl; Heiko Neumann (Int. J. Comput. Vis., 2007)

A computational model to link psychophysics and cortical cell activation patterns in human texture processing. - Axel Thielscher; Heiko Neumann (J. Comput. Neurosci., 2007)

A Fast Biologically Inspired Algorithm for Recurrent Motion Estimation. - Pierre Bayerl; Heiko Neumann (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Iterated tensor voting and curvature improvement. - Sylvain Fischer; Pierre Bayerl; Heiko Neumann; Rafael Redondo; Gabriel Cristóbal (Signal Process., 2007)

The PIT Corpus of German Multi-Party Dialogues. - Petra-Maria Strauß; Holger Hoffmann; Wolfgang Minker; Heiko Neumann; Günther Palm; Stefan Scherer; Harald C. Traue; Ulrich Weidenbacher (LREC, 2008)

Unsupervised Learning of Head Pose through Spike-Timing Dependent Plasticity. - Ulrich Weidenbacher; Heiko Neumann (PIT, 2008)

A neuroinspired cognitive behavioral control architecture for visually driven mobile robotics. - Cornelia Beck; Umberto Olcese; Alberto Montagner; Stefan Ringbauer; Heiko Neumann; Antonio Frisoli; Rita Almeida; Massimo Bergamasco; Gustavo Deco (ROBIO, 2008)

Biologically Inspired Attentive Motion Analysis for Video Surveillance. - Florian Raudies; Heiko Neumann (VISAPP (2), 2008)

Globally consistent depth sorting of overlapping 2D surfaces in a model using local recurrent interactions. - Axel Thielscher; Heiko Neumann (Biol. Cybern., 2008)

An Efficient Linear Method for the Estimation of Ego-Motion from Optical Flow. - Florian Raudies; Heiko Neumann (DAGM-Symposium, 2009)

Evaluating Motion Estimation Models from Behavioural and Psychophysical Data. - Émilien Tlapale; Pierre Kornprobst; Jan D. Bouecke; Heiko Neumann; Guillaume S. Masson (BIONETICS, 2010)

Integration of geometric and dynamic features for facial expression recognition in color image sequences. - Robert Niese; Ayoub Al-Hamadi; Bernd Michaelis; Heiko Neumann (SoCPaR, 2010)

A neural model of the temporal dynamics of figure-ground segregation in motion perception. - Florian Raudies; Heiko Neumann (Neural Networks, 2010)

Multiple Classifier Systems for the Classification of Audio-Visual Emotional States. - Michael Glodek; Stephan Tschechne; Georg Layher; Martin Schels; Tobias Brosch; Stefan Scherer; Markus Kächele; Miriam Schmidt; Heiko Neumann; Günther Palm; Friedhelm Schwenker (ACII (2), 2011)

Social Signal Processing in Companion Systems - Challenges Ahead. - Georg Layher; Heiko Neumann; Stefan Scherer; Stephan Tschechne; Tobias Brosch; Cristóbal Curio (GI-Jahrestagung, 2011)

Mechanisms of Adaptive Spatial Integration in a Neural Model of Cortical Motion Processing. - Stefan Ringbauer; Stephan Tschechne; Heiko Neumann (ICANNGA (1), 2011)

Hooligan detection: The effects of saliency and expert knowledge. - Dominik Endres; Heiko Neumann; Marina Kolesnik; Martin A. Giese (ICDP, 2011)

Robust Stereoscopic Head Pose Estimation in Human-Computer Interaction and a Unified Evaluation Framework. - Georg Layher; Hendrik Liebau; Robert Niese; Ayoub Al-Hamadi; Bernd Michaelis; Heiko Neumann (ICIAP (1), 2011)

TimeLapseAnalyzer: Multi-target analysis for live-cell imaging and time-lapse microscopy. - Johannes Huth; Malte Buchholz; Johann M. Kraus; Kristian Mølhave; Cristian Gradinaru; Götz v. Wichert; Thomas M. Gress; Heiko Neumann; Hans A. Kestler (Comput. Methods Programs Biomed., 2011)

Neural Mechanisms of Motion Detection, Integration, and Segregation: From Biology to Artificial Image Processing Systems. - Jan D. Bouecke; Émilien Tlapale; Pierre Kornprobst; Heiko Neumann (EURASIP J. Adv. Signal Process., 2011)

A Model of Motion Transparency Processing with Local Center-Surround Interactions and Feedback. - Florian Raudies; Ennio Mingolla; Heiko Neumann (Neural Comput., 2011)

Neural Mechanisms for Form and Motion Detection and Integration: Biology Meets Machine Vision. - Heiko Neumann; Florian Raudies (ECCV Workshops (1), 2012)

Learning Representations for Animated Motion Sequence and Implied Motion Recognition. - Georg Layher; Martin A. Giese; Heiko Neumann (ICANN (1), 2012)

The Brain's Sequential Parallelism: Perceptual Decision-Making and Early Sensory Responses. - Tobias Brosch; Heiko Neumann (ICONIP (2), 2012)

The Combination of HMAX and HOGs in an Attention Guided Framework for Object Localization. - Tobias Brosch; Heiko Neumann (ICPRAM (2), 2012)

An audiovisual political speech analysis incorporating eye-tracking and perception data. - Stefan Scherer; Georg Layher; John Kane 002; Heiko Neumann; Nick Campbell 001 (LREC, 2012)

A review and evaluation of methods estimating ego-motion. - Florian Raudies; Heiko Neumann (Comput. Vis. Image Underst., 2012)

A generic framework for the inference of user states in human computer interaction. - Stefan Scherer; Michael Glodek; Georg Layher; Martin Schels; Miriam Schmidt; Tobias Brosch; Stephan Tschechne; Friedhelm Schwenker; Heiko Neumann; Günther Palm (J. Multimodal User Interfaces, 2012)

Multiscale Binarization of Gene Expression Data for Reconstructing Boolean Networks. - Martin Hopfensitz; Christoph Müssel; Christian Wawra; Markus Maucher; Michael Kühl; Heiko Neumann; Hans A. Kestler (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Attention-Gated Reinforcement Learning in Neural Networks - A Unified View. - Tobias Brosch; Friedhelm Schwenker; Heiko Neumann (ICANN, 2013)

A Biologically Inspired Model for the Detection of External and Internal Head Motions. - Stephan Tschechne; Georg Layher; Heiko Neumann (ICANN, 2013)

A Bio-Inspired, Computational Model Suggests Velocity Gradients of Optic Flow Locally Encode Ordinal Depth at Surface Borders and Globally They Encode Self-Motion. - Florian Raudies; Stefan Ringbauer; Heiko Neumann (Neural Comput., 2013)

Bio-Inspired Optic Flow from Event-Based Neuromorphic Sensor Input. - Stephan Tschechne; Roman Sailer; Heiko Neumann (ANNPR, 2014)

On event-based motion detection and integration. - Tobias Brosch; Stephan Tschechne; Roman Sailer; Nora von Egloffstein; Luma Issa Abdul-Kreem; Heiko Neumann (BICT, 2014)

Modeling Simultanagnosia. - Anna Belardinelli; Johannes Kurz; Esther Kutter; Heiko Neumann; Hans-Otto Karnath; Martin V. Butz (CogSci, 2014)

Modeling Perspective-Taking by Correlating Visual and Proprioceptive Dynamics. - Fabian Schrodt; Georg Layher; Heiko Neumann; Martin V. Butz (CogSci, 2014)

Landmark Rating and Selection for SLAM in Dynamic Environments. - Siegfried Hochdorfer; Heiko Neumann; Christian Schlegel (IAS, 2014)

Modeling perspective-taking upon observation of 3D biological motion. - Fabian Schrodt; Georg Layher; Heiko Neumann; Martin V. Butz (ICDL-EPIROB, 2014)

uulmMAD - A Human Action Recognition Dataset for Ground-Truth Evaluation and Investigation of View Invariances. - Michael Glodek; Georg Layher; Felix Heilemann; Florian Gawrilowicz; Günther Palm; Friedhelm Schwenker; Heiko Neumann (MPRSS, 2014)

Hierarchical representation of shapes in visual cortex - from localized features to figural shape segregation. - Stephan Tschechne; Heiko Neumann (Frontiers Comput. Neurosci., 2014)

Computing with a Canonical Neural Circuits Model with Pool Normalization and Modulating Feedback. - Tobias Brosch; Heiko Neumann (Neural Comput., 2014)

Interaction of feedforward and feedback streams in visual cortex in a firing-rate model of columnar computations. - Tobias Brosch; Heiko Neumann (Neural Networks, 2014)

Learning Representations of Animated Motion Sequences - A Neural Model. - Georg Layher; Martin A. Giese; Heiko Neumann (Top. Cogn. Sci., 2014)

Event-based optical flow on neuromorphic hardware. - Tobias Brosch; Heiko Neumann (BICT, 2015)

Towards a mesoscopic-level canonical circuit definition for visual cortical processing. - Georg Layher; Tobias Brosch; Heiko Neumann (BICT, 2015)

Visual Processing in Cortical Architecture from Neuroscience to Neuromorphic Computing. - Tobias Brosch; Stephan Tschechne; Heiko Neumann (BrainComp, 2015)

Towards the Separation of Rigid and Non-rigid Motions for Facial Expression Analysis. - Georg Layher; Stephan Tschechne; Robert Niese; Ayoub Al-Hamadi; Heiko Neumann (Intelligent Environments, 2015)

Bio-inspired Model for Motion Estimation using an Address-event Representation. - Luma Issa Abdul-Kreem; Heiko Neumann (VISAPP (3), 2015)

Estimating Visual Motion Using an Event-Based Artificial Retina. - Luma Issa Abdul-Kreem; Heiko Neumann (VISIGRAPP (Selected Papers), 2015)

Embodied learning of a generative neural model for biological motion perception and inference. - Fabian Schrodt; Georg Layher; Heiko Neumann; Martin V. Butz (Frontiers Comput. Neurosci., 2015)

Beyond Simple and Complex Neurons: Towards Intermediate-level Representations of Shapes and Objects. - Antonio Jose Rodríguez-Sánchez; Heiko Neumann; Justus H. Piater (Künstliche Intell., 2015)

Reinforcement Learning of Linking and Tracing Contours in Recurrent Neural Networks. - Tobias Brosch; Heiko Neumann; Pieter R. Roelfsema (PLoS Comput. Biol., 2015)

The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System. - Maria Velana; Sascha Gruss; Georg Layher; Patrick Thiam; Yan Zhang 054; Daniel Schork; Viktor Kessler; Sascha Meudt; Heiko Neumann; Jonghwa Kim 001; Friedhelm Schwenker; Elisabeth André; et al. (MPRSS, 2016)

On Stacking Probabilistic Temporal Models with Bidirectional Information Flow. - Michael Glodek; Georg Layher; Heiko Neumann; Susanne Biundo; Günther Palm (Probabilistic Graphical Models, 2016)

Bio-inspired computer vision: Towards a synergistic approach of artificial and biological vision. - N. V. Kartheek Medathati; Heiko Neumann; Guillaume S. Masson; Pierre Kornprobst (Comput. Vis. Image Underst., 2016)

Adaptive dynamic network architectures for companion systems. - Christian Jarvers; Heiko Neumann (ICCT, 2017)

Fully Convolutional Region Proposal Networks for Multispectral Person Detection. - Daniel König; Michael Adam; Christian Jarvers; Georg Layher; Heiko Neumann; Michael Teutsch (CVPR Workshops, 2017)

Visual Confusion Recognition in Movement Patterns from Walking Path and Motion Energy. - Yan Zhang 054; Georg Layher; Steffen Walter 001; Viktor Kessler; Heiko Neumann (ICOST, 2017)

Continuous activity understanding based on accumulative pose-context visual patterns. - Yan Zhang 054; Georg Layher; Heiko Neumann (IPTA, 2017)

Real-Time Biologically Inspired Action Recognition from Key Poses Using a Neuromorphic Architecture. - Georg Layher; Tobias Brosch; Heiko Neumann (Frontiers Neurorobotics, 2017)

Analysis of Articulated Motion for Social Signal Processing. - Georg Layher; Michael Glodek; Heiko Neumann (Companion Technology, 2017)

Automated Analysis of Head Pose, Facial Expression and Affect. - Robert Niese; Ayoub Al-Hamadi; Heiko Neumann (Companion Technology, 2017)

Multi-modal Information Processing inCompanion-Systems: A Ticket Purchase System. - 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; et al. (Companion Technology, 2017)

Human Motion Parsing by Hierarchical Dynamic Clustering. - Yan Zhang 054; Siyu Tang 001; He Sun; Heiko Neumann (BMVC, 2018)

An Empirical Study Towards Understanding How Deep Convolutional Nets Recognize Falls. - Yan Zhang 054; Heiko Neumann (ECCV Workshops (6), 2018)

Utilizing the Capabilities Offered by Eye-Tracking to Foster Novices' Comprehension of Business Process Models. - Michael Zimoch; Rüdiger Pryss; Georg Layher; Heiko Neumann; Thomas Probst; Winfried Schlee; Manfred Reichert (ICCC, 2018)

Contrast Detection in Event-Streams from Dynamic Vision Sensors with Fixational Eye Movements. - Maximilian P. R. Löhr; Heiko Neumann (ISCAS, 2018)

Temporal Human Action Segmentation via Dynamic Clustering. - Yan Zhang 054; He Sun; Siyu Tang 001; Heiko Neumann (CoRR, 2018)

Training De-Confusion: An Interactive, Network-Supported Visual Analysis System for Resolving Errors in Image Classification Training Data. - Alex Bäuerle; Heiko Neumann; Timo Ropinski (CoRR, 2018)

Facial point localization via neural networks in a cascade regression framework. - Anwar Saeed; Ayoub Al-Hamadi; Heiko Neumann (Multim. Tools Appl., 2018)

Local Temporal Bilinear Pooling for Fine-Grained Action Parsing. - Yan Zhang 054; Siyu Tang 001; Krikamol Muandet; Christian Jarvers; Heiko Neumann (CVPR, 2019)

Temporal Learning of Dynamics in Complex Neuron Models using Backpropagation. - Christian Jarvers; Daniel Schmid; Heiko Neumann (IJCNN, 2019)

Motion Integration and Disambiguation by Spiking V1-MT-MSTl Feedforward-Feedback Interaction. - Maximilian P. R. Löhr; Daniel Schmid; Heiko Neumann (IJCNN, 2019)

Low-rank Random Tensor for Bilinear Pooling. - Yan Zhang 054; Krikamol Muandet; Qianli Ma 007; Heiko Neumann; Siyu Tang 001 (CoRR, 2019)

Depthwise Separable Temporal Convolutional Network for Action Segmentation. - Basavaraj Hampiholi; Christian Jarvers; Wolfgang Mader 003; Heiko Neumann (3DV, 2020)

Complex Neuron Dynamics on the IBM TrueNorth Neurosynaptic System. - Maximilian P. R. Löhr; Christian Jarvers; Heiko Neumann (AICAS, 2020)

A Bio-Inspired Model of Sound Source Localization on Neuromorphic Hardware. - Timo Oess; Maximilian P. R. Löhr; Christian Jarvers; Daniel Schmid; Heiko Neumann (AICAS, 2020)

Generating 3D People in Scenes Without People. - Yan Zhang 054; Mohamed Hassan 003; Heiko Neumann; Michael J. Black; Siyu Tang 001 (CVPR, 2020)

Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks. - Alex Bäuerle; Heiko Neumann; Timo Ropinski (Comput. Graph. Forum, 2020)

From Near-Optimal Bayesian Integration to Neuromorphic Hardware: A Neural Network Model of Multisensory Integration. - Timo Oess; Maximilian P. R. Löhr; Daniel Schmid; Marc O. Ernst; Heiko Neumann (Frontiers Neurorobotics, 2020)

Computational principles of neural adaptation for binaural signal integration. - Timo Oess; Marc O. Ernst; Heiko Neumann (PLoS Comput. Biol., 2020)

How Healthcare Professionals Comprehend Process Models - An Empirical Eye Tracking Analysis. - Michael Winter 002; Cynthia Bredemeyer; Manfred Reichert; Heiko Neumann; Thomas Probst; Rüdiger Pryss (CBMS, 2021)

A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data. - André Müller; Ludwig Lausser; Adalbert F. X. Wilhelm; Timo Ropinski; Matthias Platzer; Heiko Neumann; Hans A. Kestler (Adv. Data Anal. Classif., 2021)

Brain-inspired Visual-Auditory Integration Yielding Near Optimal Performance - Modelling and Neuromorphic Algorithms. - Timo Oess; Heiko Neumann (ERCIM News, 2021)

Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database. - Patrick Thiam; Viktor Kessler; Mohammadreza Amirian; Peter Bellmann; Georg Layher; Yan Zhang 054; Maria Velana; Sascha Gruss; Steffen Walter 001; Harald C. Traue; Daniel Schork; Jonghwa Kim 001; et al. (IEEE Trans. Affect. Comput., 2021)

Learning Dense Visual Descriptors using Image Augmentations for Robot Manipulation Tasks. - Christian Graf; David B. Adrian; Joshua Weil; Miroslav Gabriel; Philipp Schillinger; Markus Spies; Heiko Neumann; Andras Gabor Kupcsik (CoRL, 2022)

Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation. - David B. Adrian; Andras Gabor Kupcsik; Markus Spies; Heiko Neumann (ICRA, 2022)

Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression. - Felix Ott 001; Nisha Lakshmana Raichur; David Rügamer; Tobias Feigl; Heiko Neumann; Bernd Bischl; Christopher Mutschler (CoRR, 2022)

Convolutional Transformer Fusion Blocks for Multi-Modal Gesture Recognition. - Basavaraj Hampiholi; Christian Jarvers; Wolfgang Mader 003; Heiko Neumann (IEEE Access, 2023)

Defining gaze patterns for process model literacy - Exploring visual routines in process models with diverse mappings. - Michael Winter 002; Heiko Neumann; Rüdiger Pryss; Thomas Probst; Manfred Reichert (Expert Syst. Appl., 2023)

Shape-selective processing in deep networks: integrating the evidence on perceptual integration. - Christian Jarvers; Heiko Neumann (Frontiers Comput. Sci., 2023)

Listen to the Brain-Auditory Sound Source Localization in Neuromorphic Computing Architectures. - Daniel Schmid; Timo Oess; Heiko Neumann (Sensors, 2023)

Corrigendum to "Defining gaze patterns for process model literacy - Exploring visual routines in process models with diverse mappings" [Expert Syst. Appl. 213 (2023) 119217]. - Michael Winter 002; Heiko Neumann; Rüdiger Pryss; Thomas Probst; Manfred Reichert (Expert Syst. Appl., 2023)

Canonical circuit computations for computer vision. - Daniel Schmid; Christian Jarvers; Heiko Neumann (Biol. Cybern., 2023)

Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images. - David B. Adrian; Andras Gabor Kupcsik; Markus Spies; Heiko Neumann (ICRA, 2024)

Temporal Context Enhanced Referring Video Object Segmentation. - Xiao Hu 008; Basavaraj Hampiholi; Heiko Neumann; Jochen Lang 001 (WACV, 2024)

Teaching deep networks to see shape: Lessons from a simplified visual world. - Christian Jarvers; Heiko Neumann (PLoS Comput. Biol., 2024)

synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections? - Johannes Flotzinger; Fabian Deuser; Achref Jaziri; Heiko Neumann; Norbert Oswald; Visvanathan Ramesh; Thomas Braml (CoRR, 2025)