A Neural Recognition Architecture for Composed Objects. - Gunther Heidemann; Helge J. Ritter (DAGM-Symposium, 1996)

A Hybrid Object Recognition Architecture. - Gunther Heidemann; Franz Kummert; Helge J. Ritter; Gerhard Sagerer (ICANN, 1996)

A neural 3-D object recognition architecture using optimized Gabor filters. - Gunther Heidemann; Helge J. Ritter (ICPR, 1996)

Ein flexibel einsetzbares Objekterkennungssystem auf der Basis neuronaler Netze. - Gunther Heidemann (Infix, 1998)

Ein hybrides Bildanalyse-System für einen künstlichen Kommunikator. - Gunther Heidemann; Nils Jungclaus; Franz Kummert; Gerhard Sagerer; Helge J. Ritter (Kognitionswissenschaft, 1999)

Artificial neural networks for automated quality control of textile seams. - Claus Bahlmann; Gunther Heidemann; Helge J. Ritter (Pattern Recognit., 1999)

A multi-directional multiple-path recognition scheme for complex objects applied to the domain of a wooden toy kit. - Elke Braun; Gunther Heidemann; Helge J. Ritter; Gerhard Sagerer (Pattern Recognit. Lett., 1999)

A System for Various Visual Classification Tasks Based on Neural Networks. - Gunther Heidemann; Dirk Lücke; Helge J. Ritter (ICPR, 2000)

Segmentation of Partially Occluded Objects by Local Classification. - Gunther Heidemann; Dirk Lücke; Helge J. Ritter (IJCNN (1), 2000)

A Multi-purpose Visual Classification System. - Gunther Heidemann (Fuzzy Days, 2001)

Visual Checking of Grasping Positions of a Three-Fingered Robot Hand. - Gunther Heidemann; Helge J. Ritter (ICANN, 2001)

Integrating Recognition Paradigms in a Multiple-Path Architecture. - Gerhard Sagerer; Christian Bauckhage; Elke Braun; Gunther Heidemann; Franz Kummert; Helge J. Ritter; Daniel Schlüter (ICAPR, 2001)

Guiding attention for grasping tasks by gestural instruction: the GRAVIS-robot architecture. - Jochen J. Steil; Gunther Heidemann; Ján Jockusch; Robert Rae; Nils Jungclaus; Helge J. Ritter (IROS, 2001)

Efficient Vector Quantization Using the WTA-Rule with Activity Equalization. - Gunther Heidemann; Helge J. Ritter (Neural Process. Lett., 2001)

Combining gestural and contact information for visual guidance of multi-finger grasps. - Gunther Heidemann; Helge J. Ritter (ESANN, 2002)

Parametrized SOMs for Object Recognition and Pose Estimation. - Axel Saalbach; Gunther Heidemann; Helge J. Ritter (ICANN, 2002)

Representing Object Manifolds by Parametrized SOMs. - Axel Saalbach; Gunther Heidemann; Helge J. Ritter (ICPR (2), 2002)

Semi-automatic acquisition and labelling of image data using SOMs. - Gunther Heidemann; Axel Saalbach; Helge J. Ritter (ESANN, 2003)

Recognition of Gestural Object Reference with Auditory Feedback. - Ingo Bax; Holger Bekel; Gunther Heidemann (ICANN, 2003)

Learning to Recognise Objects and Situations to Control a Robot End-Effector. - Gunther Heidemann; Helge J. Ritter (Künstliche Intell., 2003)

Adaptive Computer Vision: Online Learning for Object Recognition. - Holger Bekel; Ingo Bax; Gunther Heidemann; Helge J. Ritter (DAGM-Symposium, 2004)

Multimodal interaction in an augmented reality scenario. - Gunther Heidemann; Ingo Bax; Holger Bekel (ICMI, 2004)

Hand Gesture Recognition: Self-Organising Maps as a Graphical User Interface for the Partitioning of Large Training Data Sets. - Gunther Heidemann; Holger Bekel; Ingo Bax; Axel Saalbach (ICPR (4), 2004)

Dynamic Tactile Sensing for Object Identification. - Gunther Heidemann; Matthias Schöpfer (ICRA, 2004)

Combining spatial and colour information for content based image retrieval. - Gunther Heidemann (Comput. Vis. Image Underst., 2004)

Integrating context-free and context-dependent attentional mechanisms for gestural object reference. - Gunther Heidemann; Robert Rae; Holger Bekel; Ingo Bax; Helge J. Ritter (Mach. Vis. Appl., 2004)

Focus-of-Attention from Local Color Symmetries. - Gunther Heidemann (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Face detection and identification using a hierarchical feed-forward recognition architecture. - Ingo Bax; Gunther Heidemann; Helge J. Ritter (IJCNN, 2005)

SOM based image data structuring in an augmented reality scenario. - Holger Bekel; Gunther Heidemann; Helge J. Ritter (IJCNN, 2005)

Using Non-negative Sparse Profiles in a Hierarchical Feature Extraction Network. - Ingo Bax; Gunther Heidemann; Helge J. Ritter (MVA, 2005)

Unsupervised image categorization. - Gunther Heidemann (Image Vis. Comput., 2005)

Interactive image data labeling using self-organizing maps in an augmented reality scenario. - Holger Bekel; Gunther Heidemann; Helge J. Ritter (Neural Networks, 2005)

The long-range saliency of edge- and corner-based salient points. - Gunther Heidemann (IEEE Trans. Image Process., 2005)

The Principal Components of Natural Images Revisited. - Gunther Heidemann (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Acquisition and Application of a Tactile Database. - Matthias Schöpfer; Helge J. Ritter; Gunther Heidemann (ICRA, 2007)

Context-Free Detection of Events. - Benedikt Kaiser; Gunther Heidemann (SCIA, 2007)

A New Method for Principal Component Analysis of High-Dimensional Data Using Compressive Sensing. - Sebastian Klenk; Gunther Heidemann (DMIN, 2008)

A Spatio-temporal Extension of the SUSAN-Filter. - Benedikt Kaiser; Gunther Heidemann (ICANN (1), 2008)

Interactive feature visualization for image retrieval. - Johannes Imo; Sebastian Klenk; Gunther Heidemann (ICPR, 2008)

Qualitative analysis of spatio-temporal event detectors. - Benedikt Kaiser; Gunther Heidemann (ICPR, 2008)

On the Contribution of Compression to Visual Pattern Recognition. - Gunther Heidemann; Helge J. Ritter (VISAPP (2), 2008)

Data Compression - A Generic Principle of Pattern Recognition? - Gunther Heidemann; Helge J. Ritter (VISIGRAPP (Selected Papers), 2008)

The visual active memory perspective on integrated recognition systems. - Christian Bauckhage; Sven Wachsmuth; Marc Hanheide; Sebastian Wrede 001; Gerhard Sagerer; Gunther Heidemann; Helge J. Ritter (Image Vis. Comput., 2008)

Region saliency as a measure for colour segmentation stability. - Gunther Heidemann (Image Vis. Comput., 2008)

A Sparse Coding Based Similarity Measure. - Sebastian Klenk; Gunther Heidemann (DMIN, 2009)

The Normalized Compression Distance as a Distance Measure in Entity Identification. - Sebastian Klenk; Dennis Thom; Gunther Heidemann (ICDM, 2009)

Interactive survival analysis with the OCDM system: From development to application. - Sebastian Klenk; Jürgen Dippon; Peter Fritz; Gunther Heidemann (Inf. Syst. Frontiers, 2009)

Relational feature engineering of natural language processing. - Hamidreza Kobdani; Hinrich Schütze; Andre Burkovski; Wiltrud Kessler; Gunther Heidemann (CIKM, 2010)

Robust 1D Barcode Recognition on Mobile Devices. - Johann C. Rocholl; Sebastian Klenk; Gunther Heidemann (ICPR, 2010)

Relevance based visualization of large cancer patient populations. - Sebastian Klenk; Jürgen Dippon; Peter Fritz; Gunther Heidemann (IHI, 2010)

Evaluation of background subtraction techniques for video surveillance. - Sebastian Brutzer; Benjamin Höferlin; Gunther Heidemann (CVPR, 2011)

A Survey on Video-based Graphics and Video Visualization. - Rita Borgo; Min Chen 001; Ben Daubney; Edward Grundy; Gunther Heidemann; Benjamin Höferlin; Markus Höferlin; Heike Jänicke; Daniel Weiskopf; Xianghua Xie (Eurographics (State of the Art Reports), 2011)

Improving the Usability of Hierarchical Representations for Interactively Labeling Large Image Data Sets. - Julia Moehrmann; Stefan Bernstein; Thomas Schlegel; Günter Werner; Gunther Heidemann (HCI (1), 2011)

A personalized medical information system. - Sebastian Klenk; Jürgen Dippon; Peter Fritz; Gunther Heidemann (SEHC@ICSE, 2011)

Similarity Calculation with Length Delimiting Dictionary Distance. - Andre Burkovski; Sebastian Klenk; Gunther Heidemann (ICTAI, 2011)

Efficient monocular vehicle orientation estimation using a tree-based classifier. - Michael Gabb; Otto Löhlein; Matthias F. Oberländer; Gunther Heidemann (Intelligent Vehicles Symposium, 2011)

Interactive schematic summaries for exploration of surveillance video. - Markus Höferlin; Benjamin Höferlin; Daniel Weiskopf; Gunther Heidemann (ICMR, 2011)

Visualization for Coreference Annotation. - Andre Burkovski; Gunther Heidemann (RANLP, 2011)

Self Organizing Maps in NLP: Exploration of Coreference Feature Space. - Andre Burkovski; Wiltrud Kessler; Gunther Heidemann; Hamidreza Kobdani; Hinrich Schütze (WSOM, 2011)

A Discussion on Visual Interactive Data Exploration Using Self-Organizing Maps. - Julia Moehrmann; Andre Burkovski; Evgeny Baranovskiy; Geoffrey-Alexeij Heinze; Andrej Rapoport; Gunther Heidemann (WSOM, 2011)

Uncertainty-aware video visual analytics of tracked moving objects. - Markus Höferlin; Benjamin Höferlin; Daniel Weiskopf; Gunther Heidemann (J. Spatial Inf. Sci., 2011)

Information-based adaptive fast-forward for visual surveillance. - Benjamin Höferlin; Markus Höferlin; Daniel Weiskopf; Gunther Heidemann (Multim. Tools Appl., 2011)

Efficient Development of User-Defined Image Recognition Systems. - Julia Moehrmann; Gunther Heidemann (ACCV Workshops (1), 2012)

Learning a Visual Attention Model for Adaptive Fast-forward in Video Surveillance. - Benjamin Höferlin; Hermann Pflüger; Markus Höferlin; Gunther Heidemann; Daniel Weiskopf (ICPRAM (2), 2012)

Inter-active learning of ad-hoc classifiers for video visual analytics. - Benjamin Höferlin; Rudolf Netzel; Markus Höferlin; Daniel Weiskopf; Gunther Heidemann (IEEE VAST, 2012)

Redundant Dictionary Spaces as a General Concept for the Analysis of Non-vectorial Data. - Sebastian Klenk; Jürgen Dippon; Andre Burkovski; Gunther Heidemann (ICDM, 2012)

Efficient annotation of image data sets for computer vision applications. - Julia Moehrmann; Gunther Heidemann (VIGTA@AVI, 2012)

State of the Art Report on Video-Based Graphics and Video Visualization. - Rita Borgo; Min Chen 001; Ben Daubney; Edward Grundy; Gunther Heidemann; Benjamin Höferlin; Markus Höferlin; Heike Leitte; Daniel Weiskopf; Xianghua Xie (Comput. Graph. Forum, 2012)

Evaluation of Fast-Forward Video Visualization. - Markus Höferlin; Kuno Kurzhals; Benjamin Höferlin; Gunther Heidemann; Daniel Weiskopf (IEEE Trans. Vis. Comput. Graph., 2012)

Semi-automatic Image Annotation. - Julia Moehrmann; Gunther Heidemann (CAIP (2), 2013)

Interactive Schematic Summaries for Faceted Exploration of Surveillance Video. - Markus Höferlin; Benjamin Höferlin; Gunther Heidemann; Daniel Weiskopf (IEEE Trans. Multim., 2013)

Evaluation of Multi-view 3D Reconstruction Software. - Julius Schöning; Gunther Heidemann (CAIP (2), 2015)

FOREST - A Flexible Object Recognition System. - Julia Moehrmann; Gunther Heidemann (ICPRAM (2), 2015)

Interactive 3D Modeling - A Survey-based Perspective on Interactive 3D Reconstruction. - Julius Schöning; Gunther Heidemann (ICPRAM (2), 2015)

Semi-automatic ground truth annotation in videos: An interactive tool for polygon-based object annotation and segmentation. - Julius Schöning; Patrick Faion; Gunther Heidemann (K-CAP, 2015)

Visual analytics for video applications. - Pattreeya Tanisaro; Julius Schöning; Kuno Kurzhals; Gunther Heidemann; Daniel Weiskopf (it Inf. Technol., 2015)

Scalable video visual analytics. - Benjamin Höferlin; Markus Höferlin; Gunther Heidemann; Daniel Weiskopf (Inf. Vis., 2015)

Bio-Inspired Architecture for Deriving 3D Models from Video Sequences. - Julius Schöning; Gunther Heidemann (ACCV Workshops (2), 2016)

Interactive Feature Growing for Accurate Object Detection in Megapixel Images. - Julius Schöning; Patrick Faion; Gunther Heidemann (ECCV Workshops (1), 2016)

Eye tracking data in multimedia containers for instantaneous visualizations. - Julius Schöning; Patrick Faion; Gunther Heidemann; Ulf Krumnack (ETVIS, 2016)

Image based spare parts reconstruction for repairing vital infrastructure after disasters: Creating or ordering replica of spare parts for overhauling infrastructure. - Julius Schöning; Gunther Heidemann (GHTC, 2016)

CORVIDAE: Coreference Resolution Visual Development & Analysis Environment. - Nico Möller; Gunther Heidemann (SEMANTiCS (Posters, Demos, SuCCESS), 2016)

Time Series Classification Using Time Warping Invariant Echo State Networks. - Pattreeya Tanisaro; Gunther Heidemann (ICMLA, 2016)

Pixel-wise Ground Truth Annotation in Videos - An Semi-automatic Approach for Pixel-wise and Semantic Object Annotation. - Julius Schöning; Patrick Faion; Gunther Heidemann (ICPRAM, 2016)

Visual Development & Analysis of Coreference Resolution Systems with CORVIDAE. - Nico Möller; Gunther Heidemann (VOILA@ISWC, 2016)

Taxonomy of 3D Sensors - A Survey of State-of-the-Art Consumer 3D-Reconstruction Sensors and their Field of Applications. - Julius Schöning; Gunther Heidemann (VISIGRAPP (3: VISAPP), 2016)

Content-Aware 3D Reconstruction with Gaze Data. - Julius Schöning; Xianta Jiang; Carlo Menon; Gunther Heidemann (CYBCONF, 2017)

Classifying Bio-Inspired Model of Point-Light Human Motion Using Echo State Networks. - Pattreeya Tanisaro; Constantin Lehman; Leon René Sütfeld; Gordon Pipa; Gunther Heidemann (ICANN (1), 2017)

Ventral Stream-Inspired Process for Deriving 3D Models from Video Sequences. - Julius Schöning; Gunther Heidemann (ICIAP Workshops, 2017)

Quasi View-Independent Human Motion Recognition in Subspaces. - Pattreeya Tanisaro; Florian Mahner; Gunther Heidemann (ICMLC, 2017)

Structure from Motion by Artificial Neural Networks. - Julius Schöning; Thea Behrens; Patrick Faion; Peyman Kheiri; Gunther Heidemann; Ulf Krumnack (SCIA (1), 2017)

Exploratory Multimodal Data Analysis with Standard Multimedia Player - Multimedia Containers: A Feasible Solution to Make Multimodal Research Data Accessible to the Broad Audience. - Julius Schöning; Anna L. Gert; Alper Açik; Tim C. Kietzmann; Gunther Heidemann; Peter König (VISIGRAPP (4: VISAPP), 2017)

Providing Video Annotations in Multimedia Containers for Visualization and Research. - Julius Schöning; Patrick Faion; Gunther Heidemann; Ulf Krumnack (WACV, 2017)

Object of Interest Segmentation in Video Sequences with Gaze Data. - Laura Krieger; Gunther Heidemann; Julius Schöning (IPAS, 2018)

Image-based 3D Reconstruction: Neural Networks vs. Multiview Geometry. - Julius Schöning; Gunther Heidemann (IPAS, 2018)

An Empirical Study on Bidirectional Recurrent Neural Networks for Human Motion Recognition. - Pattreeya Tanisaro; Gunther Heidemann (TIME, 2018)

Structure from Neuronal Networks (SfN²). - Julius Schöning; Gunther Heidemann; Ulf Krumnack (J. Comput., 2018)

An Interactive Web Application for the Creation, Organization, and Visualization of Repeat Photographs. - Axel Schaffland; Oliver Vornberger; Gunther Heidemann (SUMAC @ ACM Multimedia, 2019)

A very concise feature representation for time series classification understanding. - Pattreeya Tanisaro; Gunther Heidemann (MVA, 2019)

Dimensionality Reduction for Visualization of Time Series and Trajectories. - Pattreeya Tanisaro; Gunther Heidemann (SCIA, 2019)

Hierarchical Modeling with Neurodynamical Agglomerative Analysis. - Michael Marino; Georg Schröter; Gunther Heidemann; Joachim Hertzberg (ICANN (1), 2020)

New Interactive Methods for Image Registration with Applications in Repeat Photography. - Axel Schaffland; Tri Hiep Bui; Oliver Vornberger; Gunther Heidemann (SUMAC @ ACM Multimedia, 2020)

Automatic Wound Type Classification with Convolutional Neural Networks. - Leila Malihi; Jens Hüsers; Mats L. Richter; Maurice Moelleken; Mareike Przysucha; Dorothee Busch; Jan Heggemann; Guido Hafer; Stefan Wiemeyer; Gunther Heidemann; Joachim Dissemond; Cornelia Erfurt-Berge; et al. (ICIMTH, 2022)

Climate Change Combat and Disaster Management with re.photos, the Web Portal for Rephotography. - Axel Schaffland; Julius Schöning; Oliver Vornberger; Gunther Heidemann (IHTC, 2022)

An Image Based Object Recognition System for Wound Detection and Classification of Diabetic Foot and Venous Leg Ulcers. - Jens Hüsers; Maurice Moelleken; Mats L. Richter; Mareike Przysucha; Leila Malihi; Dorothee Busch; Nina-Alexandra Götz; Jan Heggemann; Guido Hafer; Stefan Wiemeyer; Birgit Babitsch; Gunther Heidemann; et al. (MIE, 2022)

Show Me How It's Done: The Role of Explanations in Fine-Tuning Language Models. - Mohamad Ballout; Ulf Krumnack; Gunther Heidemann; Kai-Uwe Kühnberger (ACML, 2023)

Investigating Pre-trained Language Models on Cross-Domain Datasets, a Step Closer to General AI. - Mohamad Ballout; Ulf Krumnack; Gunther Heidemann; Kai-Uwe Kühnberger (INNS DLIA@IJCNN, 2023)

Can Synthetic Images Improve CNN Performance in Wound Image Classification? - Leila Malihi; Ursula Hübner; Mats L. Richter; Maurice Moelleken; Mareike Przysucha; Dorothee Busch; Jan Heggemann; Guido Hafer; Stefan Wiemeyer; Gunther Heidemann; Joachim Dissemond; Cornelia Erfurt-Berge; et al. (MIE, 2023)

Opening the Black Box: Analyzing Attention Weights and Hidden States in Pre-trained Language Models for Non-language Tasks. - Mohamad Ballout; Ulf Krumnack; Gunther Heidemann; Kai-Uwe Kühnberger (xAI (3), 2023)

Efficient and Controllable Model Compression through Sequential Knowledge Distillation and Pruning. - Leila Malihi; Gunther Heidemann (Big Data Cogn. Comput., 2023)

Learning Disentangled Speech Representations. - Yusuf Brima; Ulf Krumnack; Simone Pika; Gunther Heidemann (CoRR, 2023)

FOOL ME IF YOU CAN! An Adversarial Dataset to Investigate the Robustness of LMs in Word Sense Disambiguation. - Mohamad Ballout; Anne Dedert; Nohayr Abdelmoneim; Ulf Krumnack; Gunther Heidemann; Kai-Uwe Kühnberger (EMNLP, 2024)

Automatic Classification of Wound Images Showing Healing Complications: Towards an Optimised Approach for Detecting Maceration. - Leila Malihi; Cornelia Erfurt-Berge; Gunther Heidemann; Mareike Przysucha; Dorothee Busch; Ursula Hübner (GMDS, 2024)

Learning Disentangled Audio Representations through Controlled Synthesis. - Yusuf Brima; Ulf Krumnack; Simone Pika; Gunther Heidemann (Tiny Papers @ ICLR, 2024)

Efficient Knowledge Distillation: Empowering Small Language Models with Teacher Model Insights. - Mohamad Ballout; Ulf Krumnack; Gunther Heidemann; Kai-Uwe Kühnberger (NLDB (1), 2024)

Enhancing Small Language Models via ChatGPT and Dataset Augmentation. - Tom Pieper; Mohamad Ballout; Ulf Krumnack; Gunther Heidemann; Kai-Uwe Kühnberger (NLDB (2), 2024)

Weight Rescaling: Applying Initialization Strategies During Training. - Lukas Niehaus; Ulf Krumnack; Gunther Heidemann (SCAI, 2024)

Enhancing SLM via ChatGPT and Dataset Augmentation. - Tom Pieper; Mohamad Ballout; Ulf Krumnack; Gunther Heidemann; Kai-Uwe Kühnberger (CoRR, 2024)

Understanding Self-Supervised Learning of Speech Representation via Invariance and Redundancy Reduction. - Yusuf Brima; Ulf Krumnack; Simone Pika; Gunther Heidemann (Inf., 2024)