Heiko Neumann - RankMe

182 papers A* 7A 2B 17C 8Misc 2Journal 68Unranked 72

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A Filtering Framework for Semi-online Referring Video Object Segmentation. ACM Multimedia Xiao Hu, Heiko Neumann, Jochen Lang
2025	J	`jnl`	A model of thalamo-cortical interaction for incremental binding in mental contour-tracing. PLoS Comput. Biol. Daniel Schmid, Heiko Neumann
2025	—	`conf`	synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections? DAGM GCPR Johannes Flotzinger, Fabian Deuser, Achref Jaziri, Heiko Neumann, Norbert Oswald, Visvanathan Ramesh, Thomas Braml
2025	J	`jnl`	synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections? CoRR Johannes Flotzinger, Fabian Deuser, Achref Jaziri, Heiko Neumann, Norbert Oswald, Visvanathan Ramesh, Thomas Braml
2024	A*	`conf`	Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images. ICRA David B. Adrian, Andras Gabor Kupcsik, Markus Spies, Heiko Neumann
2024	J	`jnl`	Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images. CoRR David B. Adrian, Andras Gabor Kupcsik, Markus Spies, Heiko Neumann
2024	J	`jnl`	Teaching deep networks to see shape: Lessons from a simplified visual world. PLoS Comput. Biol. Christian Jarvers, Heiko Neumann
2024	A	`conf`	Temporal Context Enhanced Referring Video Object Segmentation. WACV Xiao Hu, Basavaraj Hampiholi, Heiko Neumann, Jochen Lang
2023	J	`jnl`	Canonical circuit computations for computer vision. Biol. Cybern. Daniel Schmid, Christian Jarvers, Heiko Neumann
2023	J	`jnl`	Convolutional Transformer Fusion Blocks for Multi-Modal Gesture Recognition. IEEE Access Basavaraj Hampiholi, Christian Jarvers, Wolfgang Mader, Heiko Neumann
2023	J	`jnl`	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. Michael Winter, Heiko Neumann, Rüdiger Pryss, Thomas Probst, Manfred Reichert
2023	J	`jnl`	Defining gaze patterns for process model literacy - Exploring visual routines in process models with diverse mappings. Expert Syst. Appl. Michael Winter, Heiko Neumann, Rüdiger Pryss, Thomas Probst, Manfred Reichert
2023	J	`jnl`	Listen to the Brain-Auditory Sound Source Localization in Neuromorphic Computing Architectures. Sensors Daniel Schmid, Timo Oess, Heiko Neumann
2023	J	`jnl`	Shape-selective processing in deep networks: integrating the evidence on perceptual integration. Frontiers Comput. Sci. Christian Jarvers, Heiko Neumann
2022	J	`jnl`	Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression. CoRR Felix Ott, Nisha Lakshmana Raichur, David Rügamer, Tobias Feigl, Heiko Neumann, Bernd Bischl, Christopher Mutschler
2022	A*	`conf`	Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation. ICRA David B. Adrian, Andras Gabor Kupcsik, Markus Spies, Heiko Neumann
2022	J	`jnl`	Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation. CoRR David B. Adrian, Andras Gabor Kupcsik, Markus Spies, Heiko Neumann
2022	Misc	`conf`	Learning Dense Visual Descriptors using Image Augmentations for Robot Manipulation Tasks. CoRL Christian Graf, David B. Adrian, Joshua Weil, Miroslav Gabriel, Philipp Schillinger, Markus Spies, Heiko Neumann, Andras Gabor Kupcsik
2022	J	`jnl`	Learning Dense Visual Descriptors using Image Augmentations for Robot Manipulation Tasks. CoRR Christian Graf, David B. Adrian, Joshua Weil, Miroslav Gabriel, Philipp Schillinger, Markus Spies, Heiko Neumann, Andras G. Kupcsik
2021	J	`jnl`	A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data. Adv. Data Anal. Classif. André Müller, Ludwig Lausser, Adalbert F. X. Wilhelm, Timo Ropinski, Matthias Platzer, Heiko Neumann, Hans A. Kestler
2021	J	`jnl`	Brain-inspired Visual-Auditory Integration Yielding Near Optimal Performance - Modelling and Neuromorphic Algorithms. ERCIM News Timo Oess, Heiko Neumann
2021	J	`jnl`	Defining Gaze Patterns for Process Model Literacy - Exploring Visual Routines in Process Models with Diverse Mappings. CoRR Michael Winter, Heiko Neumann, Rüdiger Pryss, Thomas Probst, Manfred Reichert
2021	B	`conf`	How Healthcare Professionals Comprehend Process Models - An Empirical Eye Tracking Analysis. CBMS Michael Winter, Cynthia Bredemeyer, Manfred Reichert, Heiko Neumann, Thomas Probst, Rüdiger Pryss
2021	J	`jnl`	Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database. IEEE Trans. Affect. Comput. 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
2020	—	`conf`	A Bio-Inspired Model of Sound Source Localization on Neuromorphic Hardware. AICAS Timo Oess, Maximilian P. R. Löhr, Christian Jarvers, Daniel Schmid, Heiko Neumann
2020	J	`jnl`	Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks. Comput. Graph. Forum Alex Bäuerle, Heiko Neumann, Timo Ropinski
2020	—	`conf`	Complex Neuron Dynamics on the IBM TrueNorth Neurosynaptic System. AICAS Maximilian P. R. Löhr, Christian Jarvers, Heiko Neumann
2020	J	`jnl`	Computational principles of neural adaptation for binaural signal integration. PLoS Comput. Biol. Timo Oess, Marc O. Ernst, Heiko Neumann
2020	—	`conf`	Depthwise Separable Temporal Convolutional Network for Action Segmentation. 3DV Basavaraj Hampiholi, Christian Jarvers, Wolfgang Mader, Heiko Neumann
2020	J	`jnl`	From Near-Optimal Bayesian Integration to Neuromorphic Hardware: A Neural Network Model of Multisensory Integration. Frontiers Neurorobotics Timo Oess, Maximilian P. R. Löhr, Daniel Schmid, Marc O. Ernst, Heiko Neumann
2020	A*	`conf`	Generating 3D People in Scenes Without People. CVPR Yan Zhang, Mohamed Hassan, Heiko Neumann, Michael J. Black, Siyu Tang
2019	J	`jnl`	Generating 3D People in Scenes without People. CoRR Yan Zhang, Mohamed Hassan, Heiko Neumann, Michael J. Black, Siyu Tang
2019	A*	`conf`	Local Temporal Bilinear Pooling for Fine-Grained Action Parsing. CVPR Yan Zhang, Siyu Tang, Krikamol Muandet, Christian Jarvers, Heiko Neumann
2019	J	`jnl`	Low-rank Random Tensor for Bilinear Pooling. CoRR Yan Zhang, Krikamol Muandet, Qianli Ma, Heiko Neumann, Siyu Tang
2019	B	`conf`	Motion Integration and Disambiguation by Spiking V1-MT-MSTl Feedforward-Feedback Interaction. IJCNN Maximilian P. R. Löhr, Daniel Schmid, Heiko Neumann
2019	B	`conf`	Temporal Learning of Dynamics in Complex Neuron Models using Backpropagation. IJCNN Christian Jarvers, Daniel Schmid, Heiko Neumann
2018	—	`conf`	An Empirical Study Towards Understanding How Deep Convolutional Nets Recognize Falls. ECCV Workshops (6) Yan Zhang, Heiko Neumann
2018	J	`jnl`	An Empirical Study towards Understanding How Deep Convolutional Nets Recognize Falls. CoRR Yan Zhang, Heiko Neumann
2018	C	`conf`	Contrast Detection in Event-Streams from Dynamic Vision Sensors with Fixational Eye Movements. ISCAS Maximilian P. R. Löhr, Heiko Neumann
2018	J	`jnl`	Facial point localization via neural networks in a cascade regression framework. Multim. Tools Appl. Anwar Saeed, Ayoub Al-Hamadi, Heiko Neumann
2018	A	`conf`	Human Motion Parsing by Hierarchical Dynamic Clustering. BMVC Yan Zhang, Siyu Tang, He Sun, Heiko Neumann
2018	J	`jnl`	Local Temporal Bilinear Pooling for Fine-grained Action Parsing. CoRR Yan Zhang, Siyu Tang, Krikamol Muandet, Christian Jarvers, Heiko Neumann
2018	J	`jnl`	Temporal Human Action Segmentation via Dynamic Clustering. CoRR Yan Zhang, He Sun, Siyu Tang, Heiko Neumann
2018	J	`jnl`	Training De-Confusion: An Interactive, Network-Supported Visual Analysis System for Resolving Errors in Image Classification Training Data. CoRR Alex Bäuerle, Heiko Neumann, Timo Ropinski
2018	C	`conf`	Utilizing the Capabilities Offered by Eye-Tracking to Foster Novices' Comprehension of Business Process Models. ICCC Michael Zimoch, Rüdiger Pryss, Georg Layher, Heiko Neumann, Thomas Probst, Winfried Schlee, Manfred Reichert
2017	—	`conf`	Adaptive dynamic network architectures for companion systems. ICCT Christian Jarvers, Heiko Neumann
2017	—	`ch.`	Analysis of Articulated Motion for Social Signal Processing. Companion Technology Georg Layher, Michael Glodek, Heiko Neumann
2017	—	`ch.`	Automated Analysis of Head Pose, Facial Expression and Affect. Companion Technology Robert Niese, Ayoub Al-Hamadi, Heiko Neumann
2017	—	`conf`	Continuous activity understanding based on accumulative pose-context visual patterns. IPTA Yan Zhang, Georg Layher, Heiko Neumann
2017	—	`conf`	Fully Convolutional Region Proposal Networks for Multispectral Person Detection. CVPR Workshops Daniel König, Michael Adam, Christian Jarvers, Georg Layher, Heiko Neumann, Michael Teutsch
2017	—	`ch.`	Multi-modal Information Processing inCompanion-Systems: A Ticket Purchase System. Companion Technology 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
2017	J	`jnl`	Real-Time Biologically Inspired Action Recognition from Key Poses Using a Neuromorphic Architecture. Frontiers Neurorobotics Georg Layher, Tobias Brosch, Heiko Neumann
2017	C	`conf`	Visual Confusion Recognition in Movement Patterns from Walking Path and Motion Energy. ICOST Yan Zhang, Georg Layher, Steffen Walter, Viktor Kessler, Heiko Neumann
2016	J	`jnl`	Bio-inspired computer vision: Towards a synergistic approach of artificial and biological vision. Comput. Vis. Image Underst. N. V. Kartheek Medathati, Heiko Neumann, Guillaume S. Masson, Pierre Kornprobst
2016	—	`conf`	On Stacking Probabilistic Temporal Models with Bidirectional Information Flow. Probabilistic Graphical Models Michael Glodek, Georg Layher, Heiko Neumann, Susanne Biundo, Günther Palm
2016	—	`conf`	The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System. MPRSS 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
2015	J	`jnl`	Beyond Simple and Complex Neurons: Towards Intermediate-level Representations of Shapes and Objects. Künstliche Intell. Antonio Jose Rodríguez-Sánchez, Heiko Neumann, Justus H. Piater
2015	—	`conf`	Bio-inspired Model for Motion Estimation using an Address-event Representation. VISAPP (3) Luma Issa Abdul-Kreem, Heiko Neumann
2015	J	`jnl`	Embodied learning of a generative neural model for biological motion perception and inference. Frontiers Comput. Neurosci. Fabian Schrodt, Georg Layher, Heiko Neumann, Martin V. Butz
2015	—	`conf`	Estimating Visual Motion Using an Event-Based Artificial Retina. VISIGRAPP (Selected Papers) Luma Issa Abdul-Kreem, Heiko Neumann
2015	—	`conf`	Event-based optical flow on neuromorphic hardware. BICT Tobias Brosch, Heiko Neumann
2015	J	`jnl`	Reinforcement Learning of Linking and Tracing Contours in Recurrent Neural Networks. PLoS Comput. Biol. Tobias Brosch, Heiko Neumann, Pieter R. Roelfsema
2015	—	`conf`	Towards a mesoscopic-level canonical circuit definition for visual cortical processing. BICT Georg Layher, Tobias Brosch, Heiko Neumann
2015	B	`conf`	Towards the Separation of Rigid and Non-rigid Motions for Facial Expression Analysis. Intelligent Environments Georg Layher, Stephan Tschechne, Robert Niese, Ayoub Al-Hamadi, Heiko Neumann
2015	—	`conf`	Visual Processing in Cortical Architecture from Neuroscience to Neuromorphic Computing. BrainComp Tobias Brosch, Stephan Tschechne, Heiko Neumann
2014	—	`conf`	Bio-Inspired Optic Flow from Event-Based Neuromorphic Sensor Input. ANNPR Stephan Tschechne, Roman Sailer, Heiko Neumann
2014	J	`jnl`	Computing with a Canonical Neural Circuits Model with Pool Normalization and Modulating Feedback. Neural Comput. Tobias Brosch, Heiko Neumann
2014	J	`jnl`	Hierarchical representation of shapes in visual cortex - from localized features to figural shape segregation. Frontiers Comput. Neurosci. Stephan Tschechne, Heiko Neumann
2014	J	`jnl`	Interaction of feedforward and feedback streams in visual cortex in a firing-rate model of columnar computations. Neural Networks Tobias Brosch, Heiko Neumann
2014	C	`conf`	Landmark Rating and Selection for SLAM in Dynamic Environments. IAS Siegfried Hochdorfer, Heiko Neumann, Christian Schlegel
2014	J	`jnl`	Learning Representations of Animated Motion Sequences - A Neural Model. Top. Cogn. Sci. Georg Layher, Martin A. Giese, Heiko Neumann
2014	B	`conf`	Modeling Perspective-Taking by Correlating Visual and Proprioceptive Dynamics. CogSci Fabian Schrodt, Georg Layher, Heiko Neumann, Martin V. Butz
2014	B	`conf`	Modeling Simultanagnosia. CogSci Anna Belardinelli, Johannes Kurz, Esther Kutter, Heiko Neumann, Hans-Otto Karnath, Martin V. Butz
2014	—	`conf`	Modeling perspective-taking upon observation of 3D biological motion. ICDL-EPIROB Fabian Schrodt, Georg Layher, Heiko Neumann, Martin V. Butz
2014	—	`conf`	On event-based motion detection and integration. BICT Tobias Brosch, Stephan Tschechne, Roman Sailer, Nora von Egloffstein, Luma Issa Abdul-Kreem, Heiko Neumann
2014	—	`conf`	uulmMAD - A Human Action Recognition Dataset for Ground-Truth Evaluation and Investigation of View Invariances. MPRSS Michael Glodek, Georg Layher, Felix Heilemann, Florian Gawrilowicz, Günther Palm, Friedhelm Schwenker, Heiko Neumann
2013	J	`jnl`	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. Florian Raudies, Stefan Ringbauer, Heiko Neumann
2013	C	`conf`	A Biologically Inspired Model for the Detection of External and Internal Head Motions. ICANN Stephan Tschechne, Georg Layher, Heiko Neumann
2013	C	`conf`	Attention-Gated Reinforcement Learning in Neural Networks - A Unified View. ICANN Tobias Brosch, Friedhelm Schwenker, Heiko Neumann
2013	B	`conf`	Learning Representations of Animated Motion Sequences - A Neural Model. CogSci Georg Layher, Martin A. Giese, Heiko Neumann
2012	J	`jnl`	A generic framework for the inference of user states in human computer interaction. J. Multimodal User Interfaces Stefan Scherer, Michael Glodek, Georg Layher, Martin Schels, Miriam Schmidt, Tobias Brosch, Stephan Tschechne, Friedhelm Schwenker, Heiko Neumann, Günther Palm
2012	J	`jnl`	A review and evaluation of methods estimating ego-motion. Comput. Vis. Image Underst. Florian Raudies, Heiko Neumann
2012	B	`conf`	An audiovisual political speech analysis incorporating eye-tracking and perception data. LREC Stefan Scherer, Georg Layher, John Kane, Heiko Neumann, Nick Campbell
2012	—	`conf`	Learning Representations for Animated Motion Sequence and Implied Motion Recognition. ICANN (1) Georg Layher, Martin A. Giese, Heiko Neumann
2012	J	`jnl`	Multiscale Binarization of Gene Expression Data for Reconstructing Boolean Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Martin Hopfensitz, Christoph Müssel, Christian Wawra, Markus Maucher, Michael Kühl, Heiko Neumann, Hans A. Kestler
2012	—	`conf`	Neural Mechanisms for Form and Motion Detection and Integration: Biology Meets Machine Vision. ECCV Workshops (1) Heiko Neumann, Florian Raudies
2012	—	`conf`	The Brain's Sequential Parallelism: Perceptual Decision-Making and Early Sensory Responses. ICONIP (2) Tobias Brosch, Heiko Neumann
2012	—	`conf`	The Combination of HMAX and HOGs in an Attention Guided Framework for Object Localization. ICPRAM (2) Tobias Brosch, Heiko Neumann
2011	J	`jnl`	A Model of Motion Transparency Processing with Local Center-Surround Interactions and Feedback. Neural Comput. Florian Raudies, Ennio Mingolla, Heiko Neumann
2011	—	`conf`	Hooligan detection: The effects of saliency and expert knowledge. ICDP Dominik M. Endres, Heiko Neumann, Marina Kolesnik, Martin A. Giese
2011	—	`conf`	Mechanisms of Adaptive Spatial Integration in a Neural Model of Cortical Motion Processing. ICANNGA (1) Stefan Ringbauer, Stephan Tschechne, Heiko Neumann
2011	—	`conf`	Multiple Classifier Systems for the Classification of Audio-Visual Emotional States. ACII (2) Michael Glodek, Stephan Tschechne, Georg Layher, Martin Schels, Tobias Brosch, Stefan Scherer, Markus Kächele, Miriam Schmidt, Heiko Neumann, Günther Palm, Friedhelm Schwenker
2011	J	`jnl`	Neural Mechanisms of Motion Detection, Integration, and Segregation: From Biology to Artificial Image Processing Systems. EURASIP J. Adv. Signal Process. Jan D. Bouecke, Émilien Tlapale, Pierre Kornprobst, Heiko Neumann
2011	—	`conf`	Robust Stereoscopic Head Pose Estimation in Human-Computer Interaction and a Unified Evaluation Framework. ICIAP (1) Georg Layher, Hendrik Liebau, Robert Niese, Ayoub Al-Hamadi, Bernd Michaelis, Heiko Neumann
2011	—	`conf`	Social Signal Processing in Companion Systems - Challenges Ahead. GI-Jahrestagung Georg Layher, Heiko Neumann, Stefan Scherer, Stephan Tschechne, Tobias Brosch, Cristóbal Curio
2011	J	`jnl`	TimeLapseAnalyzer: Multi-target analysis for live-cell imaging and time-lapse microscopy. Comput. Methods Programs Biomed. Johannes Huth, Malte Buchholz, Johann M. Kraus, Kristian Mølhave, Cristian Gradinaru, Götz v. Wichert, Thomas M. Gress, Heiko Neumann, Hans A. Kestler
2010	J	`jnl`	A neural model of the temporal dynamics of figure-ground segregation in motion perception. Neural Networks Florian Raudies, Heiko Neumann
2010	—	`conf`	Evaluating Motion Estimation Models from Behavioural and Psychophysical Data. BIONETICS Émilien Tlapale, Pierre Kornprobst, Jan D. Bouecke, Heiko Neumann, Guillaume S. Masson
2010	—	`conf`	Integration of geometric and dynamic features for facial expression recognition in color image sequences. SoCPaR Robert Niese, Ayoub Al-Hamadi, Bernd Michaelis, Heiko Neumann
2009	—	`conf`	An Efficient Linear Method for the Estimation of Ego-Motion from Optical Flow. DAGM-Symposium Florian Raudies, Heiko Neumann
2008	—	`conf`	A neuroinspired cognitive behavioral control architecture for visually driven mobile robotics. ROBIO Cornelia Beck, Umberto Olcese, Alberto Montagner, Stefan Ringbauer, Heiko Neumann, Antonio Frisoli, Rita Almeida, Massimo Bergamasco, Gustavo Deco
2008	—	`conf`	Biologically Inspired Attentive Motion Analysis for Video Surveillance. VISAPP (2) Florian Raudies, Heiko Neumann
2008	J	`jnl`	Globally consistent depth sorting of overlapping 2D surfaces in a model using local recurrent interactions. Biol. Cybern. Axel Thielscher, Heiko Neumann
2008	J	`jnl`	Interaction of ON and OFF pathways for visual contrast measurement. Biol. Cybern. Heiko Neumann, Luiz Pessoa, Thorsten Hansen
2008	—	`ed.`	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 PIT Elisabeth André, Laila Dybkjær, Wolfgang Minker, Heiko Neumann, Roberto Pieraccini, Michael Weber
2008	B	`conf`	The PIT Corpus of German Multi-Party Dialogues. LREC Petra-Maria Strauß, Holger Hoffmann, Wolfgang Minker, Heiko Neumann, Günther Palm, Stefan Scherer, Harald C. Traue, Ulrich Weidenbacher
2008	—	`conf`	Unsupervised Learning of Head Pose through Spike-Timing Dependent Plasticity. PIT Ulrich Weidenbacher, Heiko Neumann
2007	J	`jnl`	A Fast Biologically Inspired Algorithm for Recurrent Motion Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Pierre Bayerl, Heiko Neumann
2007	J	`jnl`	A computational model to link psychophysics and cortical cell activation patterns in human texture processing. J. Comput. Neurosci. Axel Thielscher, Heiko Neumann
2007	J	`jnl`	A neural model of feature attention in motion perception. Biosyst. Pierre Bayerl, Heiko Neumann
2007	J	`jnl`	Disambiguating Visual Motion by Form-Motion Interaction - a Computational Model. Int. J. Comput. Vis. Pierre Bayerl, Heiko Neumann
2007	C	`conf`	Integration of Multiple Temporal and Spatial Scales for Robust Optic Flow Estimation in a Biologically Inspired Algorithm. CAIP Cornelia Beck, Thomas Gottbehuet, Heiko Neumann
2007	J	`jnl`	Iterated tensor voting and curvature improvement. Signal Process. Sylvain Fischer, Pierre Bayerl, Heiko Neumann, Rafael Redondo, Gabriel Cristóbal
2007	—	`conf`	Neural Mechanisms for Mid-Level Optical Flow Pattern Detection. ICANN (2) Stefan Ringbauer, Pierre Bayerl, Heiko Neumann
2006	—	`conf`	Detection of Head Pose and Gaze Direction for Human-Computer Interaction. PIT Ulrich Weidenbacher, Georg Layher, Pierre Bayerl, Heiko Neumann
2006	—	`conf`	Multi-level Face Tracking for Estimating Human Head Orientation in Video Sequences. PIT Tobias Bausch, Pierre Bayerl, Heiko Neumann
2006	—	`conf`	Optic Flow Integration at Multiple Spatial Frequencies - Neural Mechanism and Algorithm. ISVC (1) Cornelia Beck, Pierre Bayerl, Heiko Neumann
2006	—	`ed.`	Perception and Interactive Technologies, International Tutorial and Research Workshop, PIT 2006, Kloster Irsee, Germany, June 19-21, 2006, Proceedings PIT Elisabeth André, Laila Dybkjær, Wolfgang Minker, Heiko Neumann, Michael Weber
2006	J	`jnl`	Sketching shiny surfaces: 3D shape extraction and depiction of specular surfaces. ACM Trans. Appl. Percept. Ulrich Weidenbacher, Pierre Bayerl, Heiko Neumann, Roland W. Fleming
2006	—	`conf`	Visual Attention in Auditory Display. PIT Thorsten D. Mahler, Pierre Bayerl, Heiko Neumann, Michael Weber
2006	B	`conf`	Wizard-of-Oz Data Collection for Perception and Interaction in Multi-User Environments. LREC Petra-Maria Strauß, Holger Hoffmann, Wolfgang Minker, Heiko Neumann, Günther Palm, Stefan Scherer, Friedhelm Schwenker, Harald C. Traue, Welf Walter, Ulrich Weidenbacher
2005	—	`conf`	Extracting and depicting the 3D shape of specular surfaces. APGV Ulrich Weidenbacher, Pierre Bayerl, Roland W. Fleming, Heiko Neumann
2005	J	`jnl`	Recovering real-world images from single-scale boundaries with a novel filling-in architecture. Neural Networks Matthias S. Keil, Gabriel Cristóbal, Thorsten Hansen, Heiko Neumann
2005	—	`conf`	Segmentation of Independently Moving Objects Using a Maximum-Likelihood Principle. AMS Martin Clauss, Pierre Bayerl, Heiko Neumann
2004	—	`conf`	A Model of Motion, Stereo, and Monocular Depth Perception. DAGM-Symposium Pierre Bayerl, Heiko Neumann
2004	—	`conf`	A Statistical Measure for Evaluating Regions-of-Interest Based Attention Algorithms. DAGM-Symposium Martin Clauss, Pierre Bayerl, Heiko Neumann
2004	J	`jnl`	A simple cell model with dominating opponent inhibition for robust image processing. Neural Networks Thorsten Hansen, Heiko Neumann
2004	—	`conf`	Are Iterations and Curvature Useful for Tensor Voting? ECCV (3) Sylvain Fischer, Pierre Bayerl, Heiko Neumann, Gabriel Cristóbal, Rafael Redondo
2004	J	`jnl`	Disambiguating Visual Motion Through Contextual Feedback Modulation. Neural Comput. Pierre Bayerl, Heiko Neumann
2004	—	`conf`	Neural Architecture for Temporal Emotion Classification. ADS Roland Schweiger, Pierre Bayerl, Heiko Neumann
2004	J	`jnl`	Neural Mechanisms for the Robust Representation of Junctions. Neural Comput. Thorsten Hansen, Heiko Neumann
2003	B	`conf`	A neural model for heading detection from optic flow. ESANN Frank Seifart, Pierre Bayerl, Heiko Neumann
2003	B	`conf`	A view-based approach for object recognition from image sequences. ESANN A. Zehender, Pierre Bayerl, Heiko Neumann
2003	—	`conf`	Morphological Scale-Space Decomposition for Segmenting the Ventricular Structure in Cardiac MR Images. Bildverarbeitung für die Medizin Haythem El-Messiry, Hans A. Kestler, Olaf Grebe, Heiko Neumann
2003	—	`conf`	Neural mechanisms for segregation and recovering of intrinsic image features. ICIP (1) Matthias S. Keil, Gabriel Cristóbal, Heiko Neumann
2002	—	`conf`	A Biologically Motivated Scheme for Robust Junction Detection. Biologically Motivated Computer Vision Thorsten Hansen, Heiko Neumann
2002	—	`conf`	A Neural Model of Human Texture Processing: Texture Segmentation vs. Visual Search. Biologically Motivated Computer Vision Axel Thielscher, Anna Schubö, Heiko Neumann
2002	—	`conf`	Neural Mechanisms of Visual Flow Integration and Segregation - Insights from the Pinna-Brelstaff Illusion and Variations of It. Biologically Motivated Computer Vision Pierre Bayerl, Heiko Neumann
2001	Misc	`conf`	A Neurodynamical Retinal Network Based on Reaction-Diffusion Systems. ICIAP Matthias S. Keil, Gabriel Cristóbal, Heiko Neumann
2001	—	`conf`	Learning Shape Models from Examples. DAGM-Symposium Dariu Gavrila, Jan Giebel, Heiko Neumann
2001	—	`conf`	Neural Mechanisms for Representing Surface and Contour Features. Emergent Neural Computational Architectures Based on Neuroscience Thorsten Hansen, Heiko Neumann
2001	—	`conf`	Recurrent Long-Range Interactions in Early Vision. Emergent Neural Computational Architectures Based on Neuroscience Thorsten Hansen, Wolfgang Sepp, Heiko Neumann
2001	J	`jnl`	Visual filling-in for computing perceptual surface properties. Biol. Cybern. Heiko Neumann, Luiz Pessoa, Thorsten Hansen
2000	J	`jnl`	A simple cell model with dominating opponent inhibition for robust contrast detection. Kognitionswissenschaft Thorsten Hansen, Gregory Baratoff, Heiko Neumann
2000	J	`jnl`	Combined space-variant maps for optical-flow-based navigation. Biol. Cybern. Gregory Baratoff, Christian Toepfer, Heiko Neumann
2000	—	`conf`	Orientation Contrast Detection in Space-Variant Images. Biologically Motivated Computer Vision Gregory Baratoff, Ralph Schönfelder, Ingo Ahrns, Heiko Neumann
1999	—	`conf`	Dominating Opponent Inhibition of On and Off Pathways for Robust Contrast Detection. DAGM-Symposium Thorsten Hansen, Gregory Baratoff, Heiko Neumann
1999	J	`jnl`	Interaction of ON and OFF pathways for visual contrast measurement. Biol. Cybern. Heiko Neumann, Luiz Pessoa, Thorsten Hansen
1999	J	`jnl`	Ortsvariantes aktives Sehen: Von biologisches Motivation zu technisches Realisation. Künstliche Intell. Gregory Baratoff, Ingo Ahrns, Christian Toepfer, Heiko Neumann
1999	B	`conf`	Recurrent V1-V2 interaction for early visual information processing. ESANN Heiko Neumann, Wolfgang Sepp
1999	J	`jnl`	Recurrent V1-V2 interaction in early visual boundary processing. Biol. Cybern. Heiko Neumann, Wolfgang Sepp
1999	A*	`conf`	Space-Variant Dynamic Neural Fields for Visual Attention. CVPR Ingo Ahrns, Heiko Neumann
1998	J	`jnl`	A neural architecture of brightness perception: non-linear contrast detection and geometry-driven diffusion. Image Vis. Comput. Heiko Neumann, Luiz Pessoa, Ennio Mingolla
1998	—	`conf`	Improving Phase-Based Disparity Estimation by Means of Filter Tuning Techniques. DAGM-Symposium Ingo Ahrns, Heiko Neumann
1998	—	`conf`	Ortsvariante Karte als effektives Datenformat zur Integration visueller Navigationsaufgaben. DAGM-Symposium Christian Toepfer, Gregory Baratoff, Moritz Wende, Heiko Neumann
1998	B	`conf`	Real-time monocular fixation control using the log-polar transformation and a confidence-based similarity measure. ICPR Ingo Ahrns, Heiko Neumann
1998	B	`conf`	Robot navigation by combining central and peripheral optical flow detection on a space-variant map. ICPR Christian Toepfer, Moritz Wende, Gregory Baratoff, Heiko Neumann
1997	J	`jnl`	A Biological Neural Network of Visual Cell Responses: Static and Motion Processing. J. Braz. Comput. Soc. Luiz Pessoa, Alexander Grunewald, Heiko Neumann, Enno Littmann
1997	—	`conf`	Detection of First and Second Order Motion. NIPS Alexander Grunewald, Heiko Neumann
1996	—	`conf`	Anisotropic Diffusion Based on Mean Curvature Motion: A Computational Study. DAGM-Symposium T. Franke, Heiko Neumann, R. Seydel
1996	—	`conf`	Extraction of Illusory Contours by Perceptual Grouping. DAGM-Symposium Enno Littmann, Heiko Neumann, Laurent Redouloux
1996	J	`jnl`	Mechanisms of Neural Architecture for Visual Contrast and Brightness Perception. Neural Networks Heiko Neumann
1996	C	`conf`	Neural Model of Cortical Dynamics in Resonant Boundary Detection and Grouping. ICANN Heiko Neumann, Petra Mössner
1996	B	`conf`	Neural model for visual contrast detection. ESANN Enno Littmann, Heiko Neumann, Luiz Pessoa
1996	—	`conf`	Neural model of nonlinear subfield integration in cortical simple cells. ICNN Enno Littmann, Heiko Neumann, Luiz Pessoa
1996	B	`conf`	Nonlinear interaction of ON and OFF data streams for the detection of visual structure. ICPR Enno Littmann, Heiko Neumann, Luiz Pessoa
1995	J	`jnl`	Neuroinformatische Modellbildung zur visuellen Informationsverarbeitung. Künstliche Intell. Heiko Neumann
1994	J	`jnl`	Local stereoscopic depth estimation. Image Vis. Comput. Kai-Oliver Ludwig, Heiko Neumann, Bernd Neumann
1993	—	`conf`	A Neural Architecture for Emergent Visual Contrast, Brightness, and Space Perception. DAGM-Symposium Ian R. Billups, Heiko Neumann, H. Siegfried Stiehl, Lothar Wieske
1993	—	`conf`	On Ramp-Edge Preserving Weak Membrane Reconstruction of Smooth Intensity Functions from 2-D Computed Tomograms. DAGM-Symposium Martin Fick, Heiko Neumann, Karsten Ottenberg, H. Siegfried Stiehl
1992	—	`conf`	Estimating attributes of smooth signal transitions from scale-space. ICPR (3) Heiko Neumann, Karsten Ottenberg
1992	—	`conf`	Finding and describing local structure in discrete two-dimensional computed tomograms. ICPR (3) Heiko Neumann, Karsten Ottenberg, H. Siegfried Stiehl
1992	J	`jnl`	KIFS '92, ein Rückblick. Künstliche Intell. Manfred Kopisch, Heiko Neumann, Birte Prahl, Matthias Kalle Dalheimer, Christiane Löckenhoff, Christoph Thomas, Enno Littmann, Kai Seim
1992	A*	`conf`	Local Stereoscopic Depth Estimation Using Ocular Stripe Maps. ECCV Kai-Oliver Ludwig, Heiko Neumann, Bernd Neumann
1992	—	`conf`	Local stereoscopic depth estimation using ocular stripe maps. Theoretical Foundations of Computer Vision Kai-Oliver Ludwig, Heiko Neumann, Bernd Neumann
1991	—	`conf`	Lokale stereoskopische Tiefenschätzung. DAGM-Symposium Kai-Oliver Ludwig, Bernd Neumann, Heiko Neumann
1989	—	`conf`	A Competitive/Cooperative (Artificial Neutral) Network Approach to the Extraction of N-th Order Edge Junctions. DAGM-Symposium Heiko Neumann, H. Siegfried Stiehl
1989	—	`conf`	On Scale-Space Edge Detection in Computed Tomograms. DAGM-Symposium Svend Back, Heiko Neumann, H. Siegfried Stiehl
1989	—	`conf`	On the Capacity of Quantitative Computational Shape Recovery from Local Shading Information. DAGM-Symposium Heiko Neumann
1988	—	`conf`	Extraction of Image Domain Primitives with a Network of Competitive/Cooperative Processes. GWAI Heiko Neumann
1988	—	`—`	Theoretische Untersuchungen zur Extraktion monokularer Tiefenhinweise (Konturen und Schattierung) und ihre partielle methodische Evaluierung in einem rechnergestützten Perzeptionslabor. Heiko Neumann
1981	—	`conf`	Modellgestützte Analyse von kranialen Computer-Tomogrammen. DAGM-Symposium D. Bartels, Heiko Neumann, H. Siegfried Stiehl