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ORCIDGunther Heidemann
Person information
- affiliation: University of Osnabrück, Germany
- affiliation (former): University of Stuttgart, Germany
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2020 – today
- 2024
[j25]Yusuf Brima
, Ulf Krumnack, Simone Pika, Gunther Heidemann:
Understanding Self-Supervised Learning of Speech Representation via Invariance and Redundancy Reduction. Inf. 15(2): 114 (2024)- [c92]Mohamad Ballout, Anne Dedert, Nohayr Abdelmoneim, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger:
FOOL ME IF YOU CAN! An Adversarial Dataset to Investigate the Robustness of LMs in Word Sense Disambiguation. EMNLP 2024: 5042-5059 - [c91]Leila Malihi, Cornelia Erfurt-Berge, Gunther Heidemann, Mareike Przysucha, Dorothee Busch, Ursula Hübner:
Automatic Classification of Wound Images Showing Healing Complications: Towards an Optimised Approach for Detecting Maceration. GMDS 2024: 347-355 - [c90]Yusuf Brima, Ulf Krumnack, Simone Pika, Gunther Heidemann:
Learning Disentangled Audio Representations through Controlled Synthesis. Tiny Papers @ ICLR 2024 - [c89]Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger:
Efficient Knowledge Distillation: Empowering Small Language Models with Teacher Model Insights. NLDB (1) 2024: 32-46 - [c88]Tom Pieper, Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger:
Enhancing Small Language Models via ChatGPT and Dataset Augmentation. NLDB (2) 2024: 269-279 - [c87]Lukas Niehaus, Ulf Krumnack, Gunther Heidemann:
Weight Rescaling: Applying Initialization Strategies During Training. SCAI 2024: 83-92 - [i8]Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger:
Show Me How It's Done: The Role of Explanations in Fine-Tuning Language Models. CoRR abs/2402.07543 (2024) - [i7]Yusuf Brima, Ulf Krumnack, Simone Pika, Gunther Heidemann:
Learning Disentangled Audio Representations through Controlled Synthesis. CoRR abs/2402.10547 (2024) - [i6]Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger:
Efficient Knowledge Distillation: Empowering Small Language Models with Teacher Model Insights. CoRR abs/2409.12586 (2024) - [i5]Tom Pieper, Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger:
Enhancing SLM via ChatGPT and Dataset Augmentation. CoRR abs/2409.12599 (2024) - 2023
- [j24]Leila Malihi, Gunther Heidemann:
Efficient and Controllable Model Compression through Sequential Knowledge Distillation and Pruning. Big Data Cogn. Comput. 7(3): 154 (2023) - [c86]Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger:
Show Me How It's Done: The Role of Explanations in Fine-Tuning Language Models. ACML 2023: 90-105 - [c85]Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger:
Investigating Pre-trained Language Models on Cross-Domain Datasets, a Step Closer to General AI. INNS DLIA@IJCNN 2023: 94-103 - [c84]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, Carlotta B. C. Barkhau, Achim Hendriks, Jens Hüsers:
Can Synthetic Images Improve CNN Performance in Wound Image Classification? MIE 2023: 927-931 - [c83]Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger:
Opening the Black Box: Analyzing Attention Weights and Hidden States in Pre-trained Language Models for Non-language Tasks. xAI (3) 2023: 3-25 - [i4]Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger:
Opening the Black Box: Analyzing Attention Weights and Hidden States in Pre-trained Language Models for Non-language Tasks. CoRR abs/2306.12198 (2023) - [i3]Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger:
Investigating Pre-trained Language Models on Cross-Domain Datasets, a Step Closer to General AI. CoRR abs/2306.12205 (2023) - [i2]Yusuf Brima, Ulf Krumnack, Simone Pika, Gunther Heidemann:
Understanding Self-Supervised Learning of Speech Representation via Invariance and Redundancy Reduction. CoRR abs/2309.03619 (2023) - [i1]Yusuf Brima, Ulf Krumnack, Simone Pika, Gunther Heidemann:
Learning Disentangled Speech Representations. CoRR abs/2311.03389 (2023) - 2022
- [c82]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, Ursula Hübner:
Automatic Wound Type Classification with Convolutional Neural Networks. ICIMTH 2022: 281-284 - [c81]Axel Schaffland, Julius Schöning, Oliver Vornberger, Gunther Heidemann:
Climate Change Combat and Disaster Management with re.photos, the Web Portal for Rephotography. IHTC 2022: 69-72 - [c80]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, Joachim Dissemond, Cornelia Erfurt-Berge, Ursula Hübner:
An Image Based Object Recognition System for Wound Detection and Classification of Diabetic Foot and Venous Leg Ulcers. MIE 2022: 63-67 - 2020
- [c79]Michael Marino, Georg Schröter, Gunther Heidemann, Joachim Hertzberg:
Hierarchical Modeling with Neurodynamical Agglomerative Analysis. ICANN (1) 2020: 180-191 - [c78]Axel Schaffland, Tri Hiep Bui, Oliver Vornberger, Gunther Heidemann:
New Interactive Methods for Image Registration with Applications in Repeat Photography. SUMAC @ ACM Multimedia 2020: 41-48
2010 – 2019
- 2019
- [c77]Axel Schaffland, Oliver Vornberger, Gunther Heidemann:
An Interactive Web Application for the Creation, Organization, and Visualization of Repeat Photographs. SUMAC @ ACM Multimedia 2019: 47-54 - [c76]Pattreeya Tanisaro, Gunther Heidemann:
A very concise feature representation for time series classification understanding. MVA 2019: 1-6 - [c75]Pattreeya Tanisaro, Gunther Heidemann:
Dimensionality Reduction for Visualization of Time Series and Trajectories. SCIA 2019: 246-257 - 2018
- [j23]Julius Schöning, Gunther Heidemann, Ulf Krumnack:
Structure from Neuronal Networks (SfN²). J. Comput. 13(8): 988-999 (2018) - [c74]Julius Schöning, Gunther Heidemann:
Image-based 3D Reconstruction: Neural Networks vs. Multiview Geometry. IPAS 2018: 91-97 - [c73]Laura Krieger, Gunther Heidemann, Julius Schöning:
Object of Interest Segmentation in Video Sequences with Gaze Data. IPAS 2018: 104-109 - [c72]Pattreeya Tanisaro, Gunther Heidemann:
An Empirical Study on Bidirectional Recurrent Neural Networks for Human Motion Recognition. TIME 2018: 21:1-21:19 - 2017
- [c71]Julius Schöning, Xianta Jiang, Carlo Menon, Gunther Heidemann:
Content-Aware 3D Reconstruction with Gaze Data. CYBCONF 2017: 1-6 - [c70]Pattreeya Tanisaro, Constantin Lehman, Leon René Sütfeld, Gordon Pipa, Gunther Heidemann:
Classifying Bio-Inspired Model of Point-Light Human Motion Using Echo State Networks. ICANN (1) 2017: 84-91 - [c69]Julius Schöning, Gunther Heidemann:
Ventral Stream-Inspired Process for Deriving 3D Models from Video Sequences. ICIAP Workshops 2017: 72-83 - [c68]Pattreeya Tanisaro, Florian Mahner, Gunther Heidemann:
Quasi View-Independent Human Motion Recognition in Subspaces. ICMLC 2017: 278-283 - [c67]Julius Schöning, Thea Behrens, Patrick Faion, Peyman Kheiri, Gunther Heidemann, Ulf Krumnack:
Structure from Motion by Artificial Neural Networks. SCIA (1) 2017: 146-158 - [c66]Julius Schöning, Anna L. Gert, Alper Açik, Tim C. Kietzmann, Gunther Heidemann, Peter König:
Exploratory Multimodal Data Analysis with Standard Multimedia Player - Multimedia Containers: A Feasible Solution to Make Multimodal Research Data Accessible to the Broad Audience. VISIGRAPP (4: VISAPP) 2017: 272-279 - [c65]Julius Schöning, Patrick Faion, Gunther Heidemann, Ulf Krumnack:
Providing Video Annotations in Multimedia Containers for Visualization and Research. WACV 2017: 650-659 - 2016
- [c64]Julius Schöning, Gunther Heidemann:
Bio-Inspired Architecture for Deriving 3D Models from Video Sequences. ACCV Workshops (2) 2016: 62-76 - [c63]Julius Schöning, Patrick Faion, Gunther Heidemann:
Interactive Feature Growing for Accurate Object Detection in Megapixel Images. ECCV Workshops (1) 2016: 546-556 - [c62]Julius Schöning, Patrick Faion, Gunther Heidemann, Ulf Krumnack:
Eye tracking data in multimedia containers for instantaneous visualizations. ETVIS 2016: 74-78 - [c61]Julius Schöning, Gunther Heidemann:
Image based spare parts reconstruction for repairing vital infrastructure after disasters: Creating or ordering replica of spare parts for overhauling infrastructure. GHTC 2016: 225-232 - [c60]Nico Möller, Gunther Heidemann:
CORVIDAE: Coreference Resolution Visual Development & Analysis Environment. SEMANTiCS (Posters, Demos, SuCCESS) 2016 - [c59]Pattreeya Tanisaro, Gunther Heidemann:
Time Series Classification Using Time Warping Invariant Echo State Networks. ICMLA 2016: 831-836 - [c58]Julius Schöning, Patrick Faion, Gunther Heidemann:
Pixel-wise Ground Truth Annotation in Videos - An Semi-automatic Approach for Pixel-wise and Semantic Object Annotation. ICPRAM 2016: 690-697 - [c57]Nico Möller, Gunther Heidemann:
Visual Development & Analysis of Coreference Resolution Systems with CORVIDAE. VOILA@ISWC 2016: 128-135 - [c56]Julius Schöning, Gunther Heidemann:
Taxonomy of 3D Sensors - A Survey of State-of-the-Art Consumer 3D-Reconstruction Sensors and their Field of Applications. VISIGRAPP (3: VISAPP) 2016: 194-199 - 2015
- [j22]Pattreeya Tanisaro, Julius Schöning, Kuno Kurzhals, Gunther Heidemann, Daniel Weiskopf:
Visual analytics for video applications. it Inf. Technol. 57(1): 30-36 (2015) - [j21]Benjamin Höferlin, Markus Höferlin, Gunther Heidemann, Daniel Weiskopf:
Scalable video visual analytics. Inf. Vis. 14(1): 10-26 (2015) - [c55]Julius Schöning, Gunther Heidemann:
Evaluation of Multi-view 3D Reconstruction Software. CAIP (2) 2015: 450-461 - [c54]Julia Moehrmann, Gunther Heidemann:
FOREST - A Flexible Object Recognition System. ICPRAM (2) 2015: 119-127 - [c53]Julius Schöning, Gunther Heidemann:
Interactive 3D Modeling - A Survey-based Perspective on Interactive 3D Reconstruction. ICPRAM (2) 2015: 289-294 - [c52]Julius Schöning, Patrick Faion, Gunther Heidemann:
Semi-automatic ground truth annotation in videos: An interactive tool for polygon-based object annotation and segmentation. K-CAP 2015: 17:1-17:4 - 2013
- [j20]Markus Höferlin, Benjamin Höferlin, Gunther Heidemann, Daniel Weiskopf:
Interactive Schematic Summaries for Faceted Exploration of Surveillance Video. IEEE Trans. Multim. 15(4): 908-920 (2013) - [c51]Julia Moehrmann, Gunther Heidemann:
Semi-automatic Image Annotation. CAIP (2) 2013: 266-273 - 2012
- [j19]Rita Borgo, Min Chen, Ben Daubney, Edward Grundy, Gunther Heidemann, Benjamin Höferlin, Markus Höferlin, Heike Leitte, Daniel Weiskopf, Xianghua Xie:
State of the Art Report on Video-Based Graphics and Video Visualization. Comput. Graph. Forum 31(8): 2450-2477 (2012) - [j18]Markus Höferlin, Kuno Kurzhals, Benjamin Höferlin, Gunther Heidemann, Daniel Weiskopf:
Evaluation of Fast-Forward Video Visualization. IEEE Trans. Vis. Comput. Graph. 18(12): 2095-2103 (2012) - [c50]Julia Moehrmann, Gunther Heidemann:
Efficient Development of User-Defined Image Recognition Systems. ACCV Workshops (1) 2012: 242-253 - [c49]Benjamin Höferlin, Hermann Pflüger, Markus Höferlin, Gunther Heidemann, Daniel Weiskopf:
Learning a Visual Attention Model for Adaptive Fast-forward in Video Surveillance. ICPRAM (2) 2012: 25-32 - [c48]Benjamin Höferlin, Rudolf Netzel, Markus Höferlin, Daniel Weiskopf, Gunther Heidemann:
Inter-active learning of ad-hoc classifiers for video visual analytics. IEEE VAST 2012: 23-32 - [c47]Sebastian Klenk, Jürgen Dippon, Andre Burkovski, Gunther Heidemann:
Redundant Dictionary Spaces as a General Concept for the Analysis of Non-vectorial Data. ICDM 2012: 243-257 - [c46]Julia Moehrmann, Gunther Heidemann:
Efficient annotation of image data sets for computer vision applications. VIGTA@AVI 2012: 2 - 2011
- [j17]Markus Höferlin, Benjamin Höferlin, Daniel Weiskopf, Gunther Heidemann:
Uncertainty-aware video visual analytics of tracked moving objects. J. Spatial Inf. Sci. 2(1): 87-117 (2011) - [j16]Benjamin Höferlin, Markus Höferlin, Daniel Weiskopf, Gunther Heidemann:
Information-based adaptive fast-forward for visual surveillance. Multim. Tools Appl. 55(1): 127-150 (2011) - [c45]Sebastian Brutzer, Benjamin Höferlin, Gunther Heidemann:
Evaluation of background subtraction techniques for video surveillance. CVPR 2011: 1937-1944 - [c44]Rita Borgo, Min Chen, Ben Daubney, Edward Grundy, Gunther Heidemann, Benjamin Höferlin, Markus Höferlin, Heike Jänicke, Daniel Weiskopf, Xianghua Xie:
A Survey on Video-based Graphics and Video Visualization. Eurographics (State of the Art Reports) 2011: 1-23 - [c43]Julia Moehrmann, Stefan Bernstein, Thomas Schlegel, Günter Werner, Gunther Heidemann:
Improving the Usability of Hierarchical Representations for Interactively Labeling Large Image Data Sets. HCI (1) 2011: 618-627 - [c42]Sebastian Klenk, Jürgen Dippon, Peter Fritz, Gunther Heidemann:
A personalized medical information system. SEHC@ICSE 2011: 9-12 - [c41]Andre Burkovski, Sebastian Klenk, Gunther Heidemann:
Similarity Calculation with Length Delimiting Dictionary Distance. ICTAI 2011: 856-864 - [c40]Michael Gabb, Otto Löhlein, Matthias F. Oberländer, Gunther Heidemann:
Efficient monocular vehicle orientation estimation using a tree-based classifier. Intelligent Vehicles Symposium 2011: 308-313 - [c39]Markus Höferlin, Benjamin Höferlin, Daniel Weiskopf, Gunther Heidemann:
Interactive schematic summaries for exploration of surveillance video. ICMR 2011: 9 - [c38]Andre Burkovski, Gunther Heidemann:
Visualization for Coreference Annotation. RANLP 2011: 692-697 - [c37]Julia Moehrmann, Andre Burkovski, Evgeny Baranovskiy, Geoffrey-Alexeij Heinze, Andrej Rapoport, Gunther Heidemann:
A Discussion on Visual Interactive Data Exploration Using Self-Organizing Maps. WSOM 2011: 178-187 - [c36]Andre Burkovski, Wiltrud Kessler, Gunther Heidemann, Hamidreza Kobdani, Hinrich Schütze:
Self Organizing Maps in NLP: Exploration of Coreference Feature Space. WSOM 2011: 228-237 - 2010
- [c35]Hamidreza Kobdani, Hinrich Schütze, Andre Burkovski, Wiltrud Kessler, Gunther Heidemann:
Relational feature engineering of natural language processing. CIKM 2010: 1705-1708 - [c34]Johann C. Rocholl, Sebastian Klenk, Gunther Heidemann:
Robust 1D Barcode Recognition on Mobile Devices. ICPR 2010: 2712-2715 - [c33]Sebastian Klenk, Jürgen Dippon, Peter Fritz, Gunther Heidemann:
Relevance based visualization of large cancer patient populations. IHI 2010: 275-281
2000 – 2009
- 2009
- [j15]Sebastian Klenk, Jürgen Dippon, Peter Fritz, Gunther Heidemann:
Interactive survival analysis with the OCDM system: From development to application. Inf. Syst. Frontiers 11(4): 391-403 (2009) - [c32]Sebastian Klenk, Gunther Heidemann:
A Sparse Coding Based Similarity Measure. DMIN 2009: 512-516 - [c31]Sebastian Klenk, Dennis Thom, Gunther Heidemann:
The Normalized Compression Distance as a Distance Measure in Entity Identification. ICDM 2009: 325-337 - 2008
- [j14]Christian Bauckhage, Sven Wachsmuth, Marc Hanheide, Sebastian Wrede, Gerhard Sagerer, Gunther Heidemann, Helge J. Ritter:
The visual active memory perspective on integrated recognition systems. Image Vis. Comput. 26(1): 5-14 (2008) - [j13]Gunther Heidemann:
Region saliency as a measure for colour segmentation stability. Image Vis. Comput. 26(2): 211-227 (2008) - [c30]Sebastian Klenk, Gunther Heidemann:
A New Method for Principal Component Analysis of High-Dimensional Data Using Compressive Sensing. DMIN 2008: 191-196 - [c29]Benedikt Kaiser, Gunther Heidemann:
A Spatio-temporal Extension of the SUSAN-Filter. ICANN (1) 2008: 867-876 - [c28]Johannes Imo, Sebastian Klenk, Gunther Heidemann:
Interactive feature visualization for image retrieval. ICPR 2008: 1-4 - [c27]Benedikt Kaiser, Gunther Heidemann:
Qualitative analysis of spatio-temporal event detectors. ICPR 2008: 1-4 - [c26]Gunther Heidemann, Helge J. Ritter:
On the Contribution of Compression to Visual Pattern Recognition. VISAPP (2) 2008: 83-89 - [c25]Gunther Heidemann, Helge J. Ritter:
Data Compression - A Generic Principle of Pattern Recognition? VISIGRAPP (Selected Papers) 2008: 202-212 - 2007
- [c24]Matthias Schöpfer, Helge J. Ritter, Gunther Heidemann:
Acquisition and Application of a Tactile Database. ICRA 2007: 1517-1522 - [c23]Benedikt Kaiser, Gunther Heidemann:
Context-Free Detection of Events. SCIA 2007: 223-232 - 2006
- [j12]Gunther Heidemann:
The Principal Components of Natural Images Revisited. IEEE Trans. Pattern Anal. Mach. Intell. 28(5): 822-826 (2006) - 2005
- [j11]Gunther Heidemann:
Unsupervised image categorization. Image Vis. Comput. 23(10): 861-876 (2005) - [j10]Holger Bekel, Gunther Heidemann, Helge J. Ritter:
Interactive image data labeling using self-organizing maps in an augmented reality scenario. Neural Networks 18(5-6): 566-574 (2005) - [j9]Gunther Heidemann:
The long-range saliency of edge- and corner-based salient points. IEEE Trans. Image Process. 14(11): 1701-1706 (2005) - [c22]Ingo Bax, Gunther Heidemann, Helge J. Ritter:
Face detection and identification using a hierarchical feed-forward recognition architecture. IJCNN 2005: 1675-1680 - [c21]Holger Bekel, Gunther Heidemann, Helge J. Ritter:
SOM based image data structuring in an augmented reality scenario. IJCNN 2005: 3278-3283 - [c20]Ingo Bax, Gunther Heidemann, Helge J. Ritter:
Using Non-negative Sparse Profiles in a Hierarchical Feature Extraction Network. MVA 2005: 464-467 - 2004
- [j8]Gunther Heidemann:
Combining spatial and colour information for content based image retrieval. Comput. Vis. Image Underst. 94(1-3): 234-270 (2004) - [j7]Gunther Heidemann, Robert Rae, Holger Bekel, Ingo Bax, Helge J. Ritter:
Integrating context-free and context-dependent attentional mechanisms for gestural object reference. Mach. Vis. Appl. 16(1): 64-73 (2004) - [j6]Gunther Heidemann:
Focus-of-Attention from Local Color Symmetries. IEEE Trans. Pattern Anal. Mach. Intell. 26(7): 817-830 (2004) - [c19]Holger Bekel, Ingo Bax, Gunther Heidemann, Helge J. Ritter:
Adaptive Computer Vision: Online Learning for Object Recognition. DAGM-Symposium 2004: 447-454 - [c18]Gunther Heidemann, Ingo Bax, Holger Bekel:
Multimodal interaction in an augmented reality scenario. ICMI 2004: 53-60 - [c17]Gunther Heidemann, Holger Bekel, Ingo Bax, Axel Saalbach:
Hand Gesture Recognition: Self-Organising Maps as a Graphical User Interface for the Partitioning of Large Training Data Sets. ICPR (4) 2004: 487-490 - [c16]Gunther Heidemann, Matthias Schöpfer:
Dynamic Tactile Sensing for Object Identification. ICRA 2004: 813-818 - 2003
- [j5]Gunther Heidemann, Helge J. Ritter:
Learning to Recognise Objects and Situations to Control a Robot End-Effector. Künstliche Intell. 17(2): 24- (2003) - [c15]Gunther Heidemann, Axel Saalbach, Helge J. Ritter:
Semi-automatic acquisition and labelling of image data using SOMs. ESANN 2003: 503-508 - [c14]Ingo Bax, Holger Bekel, Gunther Heidemann:
Recognition of Gestural Object Reference with Auditory Feedback. ICANN 2003: 425-432 - [c13]Gunther Heidemann, Robert Rae, Holger Bekel, Ingo Bax, Helge J. Ritter:
Integrating Context-Free and Context-Dependent Attentional Mechanisms for Gestural Object Reference. ICVS 2003: 22-33 - 2002
- [c12]Gunther Heidemann, Helge J. Ritter:
Combining gestural and contact information for visual guidance of multi-finger grasps. ESANN 2002: 301-306 - [c11]Axel Saalbach, Gunther Heidemann, Helge J. Ritter:
Parametrized SOMs for Object Recognition and Pose Estimation. ICANN 2002: 902-907 - [c10]Axel Saalbach, Gunther Heidemann, Helge J. Ritter:
Representing Object Manifolds by Parametrized SOMs. ICPR (2) 2002: 184-187 - 2001
- [j4]Gunther Heidemann, Helge J. Ritter:
Efficient Vector Quantization Using the WTA-Rule with Activity Equalization. Neural Process. Lett. 13(1): 17-30 (2001) - [c9]Gunther Heidemann:
A Multi-purpose Visual Classification System. Fuzzy Days 2001: 305-312 - [c8]Gunther Heidemann, Helge J. Ritter:
Visual Checking of Grasping Positions of a Three-Fingered Robot Hand. ICANN 2001: 891-898 - [c7]Gerhard Sagerer, Christian Bauckhage, Elke Braun, Gunther Heidemann, Franz Kummert, Helge J. Ritter, Daniel Schlüter:
Integrating Recognition Paradigms in a Multiple-Path Architecture. ICAPR 2001: 202-211 - [c6]Jochen J. Steil, Gunther Heidemann, Ján Jockusch, Robert Rae, Nils Jungclaus, Helge J. Ritter:
Guiding attention for grasping tasks by gestural instruction: the GRAVIS-robot architecture. IROS 2001: 1570-1577 - 2000
- [c5]Gunther Heidemann, Dirk Lücke, Helge J. Ritter:
A System for Various Visual Classification Tasks Based on Neural Networks. ICPR 2000: 1009-1012 - [c4]Gunther Heidemann, Dirk Lücke, Helge J. Ritter:
Segmentation of Partially Occluded Objects by Local Classification. IJCNN (1) 2000: 152-157
1990 – 1999
- 1999
- [j3]Gunther Heidemann, Nils Jungclaus, Franz Kummert, Gerhard Sagerer, Helge J. Ritter:
Ein hybrides Bildanalyse-System für einen künstlichen Kommunikator. Kognitionswissenschaft 8(3): 101-107 (1999) - [j2]Claus Bahlmann, Gunther Heidemann, Helge J. Ritter:
Artificial neural networks for automated quality control of textile seams. Pattern Recognit. 32(6): 1049-1060 (1999) - [j1]Elke Braun, Gunther Heidemann, Helge J. Ritter, Gerhard Sagerer:
A multi-directional multiple-path recognition scheme for complex objects applied to the domain of a wooden toy kit. Pattern Recognit. Lett. 20(11-13): 1085-1091 (1999) - 1998
- [b1]Gunther Heidemann:
Ein flexibel einsetzbares Objekterkennungssystem auf der Basis neuronaler Netze. Bielefeld University, Germany, DISKI 190, Infix 1998, ISBN 978-3-89601-190-9, pp. I-XI, 1-183 - 1996
- [c3]Gunther Heidemann, Helge J. Ritter:
A Neural Recognition Architecture for Composed Objects. DAGM-Symposium 1996: 475-482 - [c2]Gunther Heidemann, Franz Kummert, Helge J. Ritter, Gerhard Sagerer:
A Hybrid Object Recognition Architecture. ICANN 1996: 305-310 - [c1]Gunther Heidemann, Helge J. Ritter:
A neural 3-D object recognition architecture using optimized Gabor filters. ICPR 1996: 70-74
Coauthor Index
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