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ORCIDGernot A. Fink
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- affiliation: TU Dortmund, Department of Computer Science
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2020 – today
- 2024
[j28]Fabian Wolf, Gernot A. Fink:
Self-training for handwritten word recognition and retrieval. Int. J. Document Anal. Recognit. 27(3): 225-244 (2024)- [j27]Oliver Tüselmann, Gernot A. Fink:
Neural models for semantic analysis of handwritten document images. Int. J. Document Anal. Recognit. 27(3): 245-263 (2024) - [c157]Tim Raven
, Arthur Matei, Gernot A. Fink:
Self-supervised Vision Transformers for Writer Retrieval. ICDAR (2) 2024: 380-396 - [i22]Tim Raven, Arthur Matei, Gernot A. Fink:
Self-Supervised Vision Transformers for Writer Retrieval. CoRR abs/2409.00751 (2024) - 2023
- [j26]Koichi Kise, Richard Zanibbi, Rajiv Jain, Gernot A. Fink:
Editorial for special issue on "advanced topics in document analysis and recognition". Int. J. Document Anal. Recognit. 26(3): 171-173 (2023) - [c156]Oliver Tüselmann, Gernot A. Fink:
Exploring Semantic Word Representations for Recognition-Free NLP on Handwritten Document Images. ICDAR (4) 2023: 85-100 - [c155]Christopher Reining, Nilah Ravi Nair, Friedrich Niemann, Fernando Moya Rueda, Gernot A. Fink:
A Tutorial on Dataset Creation for Sensor-based Human Activity Recognition. PerCom Workshops 2023: 453-459 - [e7]Gernot A. Fink, Rajiv Jain, Koichi Kise, Richard Zanibbi:
Document Analysis and Recognition - ICDAR 2023 - 17th International Conference, San José, CA, USA, August 21-26, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14187, Springer 2023, ISBN 978-3-031-41675-0 [contents] - [e6]Gernot A. Fink, Rajiv Jain, Koichi Kise, Richard Zanibbi:
Document Analysis and Recognition - ICDAR 2023 - 17th International Conference, San José, CA, USA, August 21-26, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14188, Springer 2023, ISBN 978-3-031-41678-1 [contents] - [e5]Gernot A. Fink, Rajiv Jain, Koichi Kise, Richard Zanibbi:
Document Analysis and Recognition - ICDAR 2023 - 17th International Conference, San José, CA, USA, August 21-26, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14189, Springer 2023, ISBN 978-3-031-41681-1 [contents] - [e4]Gernot A. Fink, Rajiv Jain, Koichi Kise, Richard Zanibbi:
Document Analysis and Recognition - ICDAR 2023 - 17th International Conference, San José, CA, USA, August 21-26, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14190, Springer 2023, ISBN 978-3-031-41684-2 [contents] - [e3]Gernot A. Fink, Rajiv Jain, Koichi Kise, Richard Zanibbi:
Document Analysis and Recognition - ICDAR 2023 - 17th International Conference, San José, CA, USA, August 21-26, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14191, Springer 2023, ISBN 978-3-031-41733-7 [contents] - [e2]Gernot A. Fink, Rajiv Jain, Koichi Kise, Richard Zanibbi:
Document Analysis and Recognition - ICDAR 2023 - 17th International Conference, San José, CA, USA, August 21-26, 2023, Proceedings, Part VI. Lecture Notes in Computer Science 14192, Springer 2023, ISBN 978-3-031-41730-6 [contents] - [d3]Friedrich Niemann, Christopher Reining, Fernando Moya Rueda, Nilah Ravi Nair, Philipp Oberdiek, Hülya Bas, Raphael Spiekermann, Erik Altermann, Janine Anika Steffens, Gernot A. Fink, Michael ten Hompel:
Logistic Activity Recognition Challenge (LARa Version 03) - A Motion Capture and Inertial Measurement Dataset. Zenodo, 2023
- [i21]Nilah Ravi Nair, Lena Schmid, Fernando Moya Rueda, Markus Pauly, Gernot A. Fink, Christopher Reining:
Dataset Bias in Human Activity Recognition. CoRR abs/2301.10161 (2023) - [i20]Nilah Ravi Nair, Fernando Moya Rueda, Christopher Reining, Gernot A. Fink:
Multi-Channel Time-Series Person and Soft-Biometric Identification. CoRR abs/2304.01585 (2023) - 2022
- [c154]Oliver Tüselmann, Gernot A. Fink:
Named Entity Linking on Handwritten Document Images. DAS 2022: 199-213 - [c153]Oliver Tüselmann, Friedrich Müller, Fabian Wolf, Gernot A. Fink:
Recognition-Free Question Answering on Handwritten Document Collections. ICFHR 2022: 259-273 - [c152]Oliver Tüselmann, Kai Brandenbusch, Miao Chen, Gernot A. Fink:
A Weighted Combination of Semantic and Syntactic Word Image Representations. ICFHR 2022: 285-299 - [c151]Fabian Wolf, Gernot A. Fink:
Combining Self-training and Minimal Annotations for Handwritten Word Recognition. ICFHR 2022: 300-315 - [c150]Nilah Ravi Nair, Fernando Moya Rueda, Christopher Reining, Gernot A. Fink:
Multi-Channel Time-Series Person and Soft-Biometric Identification. ICPR Workshops (1) 2022: 256-272 - [c149]Dominik Koßmann, Arthur Matei, Thorsten Wilhelm, Gernot A. Fink:
Image Augmentations in Planetary Science: Implications in Self-Supervised Learning and Weakly-Supervised Segmentation on Mars. ICPR 2022: 2800-2806 - [c148]Fabian Wolf, Gernot A. Fink:
Self-Training of Handwritten Word Recognition for Synthetic-to-Real Adaptation. ICPR 2022: 3885-3892 - [c147]Shrutarv Awasthi, Fernando Moya Rueda, Gernot A. Fink:
Video-based Pose-Estimation Data as Source for Transfer Learning in Human Activity Recognition. ICPR 2022: 4514-4521 - [c146]Philipp Oberdiek, Gernot A. Fink, Matthias Rottmann:
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs. NeurIPS 2022 - [c145]Erik Altermann, Fernando Moya Rueda, Eugen Rusakov, Gernot A. Fink:
Retrieval-based Annotation of Multi-channel Time-Series Data for HAR. PerCom Workshops 2022: 212-217 - [d2]Friedrich Niemann, Christopher Reining, Fernando Moya Rueda, Hülya Bas, Erik Altermann, Nilah Ravi Nair, Janine Anika Steffens, Gernot A. Fink, Michael ten Hompel:
Logistic Activity Recognition Challenge (LARa Version 02) - A Motion Capture and Inertial Measurement Dataset. Zenodo, 2022 - [i19]Philipp Oberdiek, Gernot A. Fink, Matthias Rottmann:
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs. CoRR abs/2201.13279 (2022) - [i18]Oliver Tüselmann, Friedrich Müller, Fabian Wolf, Gernot A. Fink:
Recognition-free Question Answering on Handwritten Document Collections. CoRR abs/2202.06080 (2022) - [i17]Fabian Wolf, Gernot A. Fink:
Self-Training of Handwritten Word Recognition for Synthetic-to-Real Adaptation. CoRR abs/2206.03149 (2022) - [i16]Shrutarv Awasthi, Fernando Moya Rueda, Gernot A. Fink:
Video-based Pose-Estimation Data as Source for Transfer Learning in Human Activity Recognition. CoRR abs/2212.01353 (2022) - 2021
- [j25]Simone Frintrop, Gernot A. Fink, Xiaoyi Jiang:
Guest Editorial: Special Issue: Computer Vision and Pattern Recognition (DAGM GCPR 2019). Int. J. Comput. Vis. 129(11): 3004-3005 (2021) - [j24]Leonard Rothacker, Fabian Wolf, Gernot A. Fink:
Annotation-Free Word Spotting with Bag-of-Features HMMs. Int. J. Pattern Recognit. Artif. Intell. 35(4): 2153001:1-2153001:37 (2021) - [c144]Gernot A. Fink, Heinrich Müller:
Peter Marwedel and the Department of Computer Science of the TU Dortmund University. A Journey of Embedded and Cyber-Physical Systems 2021: 1-4 - [c143]Fabian Wolf, Andreas Fischer, Gernot A. Fink:
Graph Convolutional Neural Networks for Learning Attribute Representations for Word Spotting. ICDAR (1) 2021: 50-64 - [c142]Kai Brandenbusch, Eugen Rusakov, Gernot A. Fink:
Context Aware Generation of Cuneiform Signs. ICDAR (1) 2021: 65-79 - [c141]Eugen Rusakov, Turna Somel, Gerfrid G. W. Müller, Gernot A. Fink:
Embedded Attributes for Cuneiform Sign Spotting. ICDAR (2) 2021: 291-305 - [c140]Oliver Tüselmann, Fabian Wolf, Gernot A. Fink:
Are End-to-End Systems Really Necessary for NER on Handwritten Document Images? ICDAR (2) 2021: 808-822 - [c139]Renee Lerch, Babak Hosseini, Pierre Gembaczka, Gernot A. Fink, André Lüdecke, Viktor Brack, Furkan Ercan, Alexander Utz, Karsten Seidl:
Design of an Artificial Neural Network Circuit for detecting Atrial Fibrillation in ECG Signals. IEEE SENSORS 2021: 1-4 - [c138]Dominik Koßmann, Thorsten Wilhelm, Gernot A. Fink:
Generation of Attributes for Highly Imbalanced Land Cover Data. IGARSS 2021: 2616-2619 - [c137]Hülya Avsar, Erik Altermann, Christopher Reining, Fernando Moya Rueda, Gernot A. Fink, Michael ten Hompel:
Benchmarking Annotation Procedures for Multi-channel Time Series HAR Dataset. PerCom Workshops 2021: 453-458 - [i15]Stefan Lüdtke, Fernando Moya Rueda, Waqas Ahmed, Gernot A. Fink, Thomas Kirste:
Human Activity Recognition using Attribute-Based Neural Networks and Context Information. CoRR abs/2111.04564 (2021) - 2020
- [j23]Friedrich Niemann, Christopher Reining, Fernando Moya Rueda, Nilah Ravi Nair, Janine Anika Steffens, Gernot A. Fink, Michael ten Hompel:
LARa: Creating a Dataset for Human Activity Recognition in Logistics Using Semantic Attributes. Sensors 20(15): 4083 (2020) - [c136]Philipp Oberdiek, Matthias Rottmann, Gernot A. Fink:
Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation. CVPR Workshops 2020: 1331-1340 - [c135]Fabian Wolf, Gernot A. Fink:
Annotation-Free Learning of Deep Representations for Word Spotting Using Synthetic Data and Self Labeling. DAS 2020: 293-308 - [c134]Eugen Rusakov, Turna Somel, Gernot A. Fink, Gerfrid G. W. Müller:
Towards Query-by-eXpression Retrieval of Cuneiform Signs. ICFHR 2020: 43-48 - [c133]Oliver Tüselmann, Fabian Wolf, Gernot A. Fink:
Identifying and Tackling Key Challenges in Semantic Word Spotting. ICFHR 2020: 55-60 - [c132]Fabian Wolf, Kai Brandenbusch, Gernot A. Fink:
Improving Handwritten Word Synthesis for Annotation-free Word Spotting. ICFHR 2020: 61-66 - [c131]Dominik Koßmann, Thorsten Wilhelm, Gernot A. Fink:
Towards Tackling Multi-Label Imbalances in Remote Sensing Imagery. ICPR 2020: 5782-5789 - [c130]Fernando Moya Rueda, Gernot A. Fink:
From Human Pose to On-Body Devices for Human-Activity Recognition. ICPR 2020: 10066-10073 - [c129]Christopher Reining, Fernando Moya Rueda, Friedrich Niemann, Gernot A. Fink, Michael ten Hompel:
Annotation Performance for multi-channel time series HAR Dataset in Logistics. PerCom Workshops 2020: 1-6 - [d1]Friedrich Niemann, Christopher Reining, Fernando Moya Rueda, Erik Altermann, Nilah Ravi Nair, Janine Anika Steffens, Gernot A. Fink, Michael ten Hompel:
Logistic Activity Recognition Challenge (LARa Version 01) - A Motion Capture and Inertial Measurement Dataset. Zenodo, 2020 - [i14]Fabian Wolf, Gernot A. Fink:
Annotation-free Learning of Deep Representations for Word Spotting using Synthetic Data and Self Labeling. CoRR abs/2003.01989 (2020) - [i13]Philipp Oberdiek, Matthias Rottmann, Gernot A. Fink:
Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation. CoRR abs/2005.06831 (2020)
2010 – 2019
- 2019
- [j22]Irfan Ahmad, Gernot A. Fink:
Handwritten Arabic text recognition using multi-stage sub-core-shape HMMs. Int. J. Document Anal. Recognit. 22(3): 329-349 (2019) - [j21]Christopher Reining, Friedrich Niemann, Fernando Moya Rueda, Gernot A. Fink, Michael ten Hompel:
Human Activity Recognition for Production and Logistics - A Systematic Literature Review. Inf. 10(8): 245 (2019) - [c128]Eugen Rusakov, Kai Brandenbusch, Denis Fisseler, Turna Somel, Gernot A. Fink, Frank Weichert, Gerfrid G. W. Müller:
Generating Cuneiform Signs with Cycle-Consistent Adversarial Networks. HIP@ICDAR 2019: 19-24 - [c127]Fabian Wolf, Philipp Oberdiek, Gernot A. Fink:
Exploring Confidence Measures for Word Spotting in Heterogeneous Datasets. ICDAR 2019: 583-588 - [c126]Fernando Moya Rueda, Stefan Lüdtke, Max Schröder, Kristina Y. Yordanova, Thomas Kirste, Gernot A. Fink:
Combining Symbolic Reasoning and Deep Learning for Human Activity Recognition. PerCom Workshops 2019: 22-27 - [c125]Thorsten Wilhelm, René Grzeszick, Gernot A. Fink, Christian Wöhler:
Unsupervised Learning of Scene Categories on the Lunar Surface. VISIGRAPP (5: VISAPP) 2019: 614-621 - [e1]Gernot A. Fink, Simone Frintrop, Xiaoyi Jiang:
Pattern Recognition - 41st DAGM German Conference, DAGM GCPR 2019, Dortmund, Germany, September 10-13, 2019, Proceedings. Lecture Notes in Computer Science 11824, Springer 2019, ISBN 978-3-030-33675-2 [contents] - [i12]Fabian Wolf, Philipp Oberdiek, Gernot A. Fink:
Exploring Confidence Measures for Word Spotting in Heterogeneous Datasets. CoRR abs/1903.10930 (2019) - 2018
- [j20]Cheng-Lin Liu, Gernot A. Fink, Venu Govindaraju, Lianwen Jin:
Special issue on deep learning for document analysis and recognition. Int. J. Document Anal. Recognit. 21(3): 159-160 (2018) - [j19]Sebastian Sudholt, Gernot A. Fink:
Attribute CNNs for word spotting in handwritten documents. Int. J. Document Anal. Recognit. 21(3): 199-218 (2018) - [j18]Fernando Moya Rueda, René Grzeszick, Gernot A. Fink, Sascha Feldhorst, Michael ten Hompel:
Convolutional Neural Networks for Human Activity Recognition Using Body-Worn Sensors. Informatics 5(2): 26 (2018) - [c124]Neha Gurjar, Sebastian Sudholt, Gernot A. Fink:
Learning Deep Representations for Word Spotting under Weak Supervision. DAS 2018: 7-12 - [c123]Christopher Reining, Fernando Moya Rueda, Michael ten Hompel, Gernot A. Fink:
Towards a Framework for Semi-Automated Annotation of Human Order Picking Activities Using Motion Capturing. FedCSIS 2018: 817-821 - [c122]Eugen Rusakov, Leonard Rothacker, Hyunho Mo, Gernot A. Fink:
A Probabilistic Retrieval Model for Word Spotting Based on Direct Attribute Prediction. ICFHR 2018: 38-43 - [c121]Fernando Moya Rueda, Gernot A. Fink:
Learning Attribute Representation for Human Activity Recognition. ICPR 2018: 523-528 - [c120]Christopher Reining, Michelle Schlangen, Leon Hissmann, Michael ten Hompel, Fernando Moya Rueda, Gernot A. Fink:
Attribute Representation for Human Activity Recognition of Manual Order Picking Activities. iWOAR 2018: 10:1-10:10 - [i11]Rene Grzeszick, Sebastian Sudholt, Gernot A. Fink:
Weakly Supervised Object Detection with Pointwise Mutual Information. CoRR abs/1801.08747 (2018) - [i10]Fernando Moya Rueda, Gernot A. Fink:
Learning Attribute Representation for Human Activity Recognition. CoRR abs/1802.00761 (2018) - [i9]Eugen Rusakov, Sebastian Sudholt, Fabian Wolf, Gernot A. Fink:
Expolring Architectures for CNN-Based Word Spotting. CoRR abs/1806.10866 (2018) - 2017
- [j17]Axel Plinge, Gernot A. Fink, Sharon Gannot:
Passive Online Geometry Calibration of Acoustic Sensor Networks. IEEE Signal Process. Lett. 24(3): 324-328 (2017) - [j16]Rene Grzeszick, Axel Plinge, Gernot A. Fink:
Bag-of-Features Methods for Acoustic Event Detection and Classification. IEEE ACM Trans. Audio Speech Lang. Process. 25(6): 1242-1252 (2017) - [c119]Fernando Moya Rueda, Rene Grzeszick, Gernot A. Fink:
Neuron Pruning for Compressing Deep Networks Using Maxout Architectures. GCPR 2017: 177-188 - [c118]Thorsten Wilhelm, Rene Grzeszick, Gernot A. Fink, Christian Wöhler:
From Weakly Supervised Object Localization to Semantic Segmentation by Probabilistic Image Modeling. DICTA 2017: 1-7 - [c117]Sebastian Sudholt, Leonard Rothacker, Gernot A. Fink:
Query-by-Online Word Spotting Revisited: Using CNNs for Cross-Domain Retrieval. ICDAR 2017: 481-486 - [c116]Sebastian Sudholt, Gernot A. Fink:
Evaluating Word String Embeddings and Loss Functions for CNN-Based Word Spotting. ICDAR 2017: 493-498 - [c115]Leonard Rothacker, Sebastian Sudholt, Eugen Rusakov, Matthias Kasperidus, Gernot A. Fink:
Word Hypotheses for Segmentation-Free Word Spotting in Historic Document Images. ICDAR 2017: 1174-1179 - [c114]Rene Grzeszick, Sebastian Sudholt, Gernot A. Fink:
Optimistic and pessimistic neural networks for object recognition. ICIP 2017: 350-354 - [c113]Waleed M. Gondal, Jan M. Köhler, Rene Grzeszick, Gernot A. Fink, Michael Hirsch:
Weakly-supervised localization of diabetic retinopathy lesions in retinal fundus images. ICIP 2017: 2069-2073 - [c112]Rene Grzeszick, Jan Marius Lenk, Fernando Moya Rueda, Gernot A. Fink, Sascha Feldhorst, Michael ten Hompel:
Deep Neural Network based Human Activity Recognition for the Order Picking Process. iWOAR 2017: 14:1-14:6 - [c111]Rene Grzeszick, Gernot A. Fink:
Zero-shot Object Prediction using Semantic Scene Knowledge. VISIGRAPP (5: VISAPP) 2017: 120-129 - [i8]Waleed M. Gondal, Jan M. Köhler, René Grzeszick, Gernot A. Fink, Michael Hirsch:
Weakly-supervised localization of diabetic retinopathy lesions in retinal fundus images. CoRR abs/1706.09634 (2017) - [i7]Fernando Moya Rueda, Rene Grzeszick, Gernot A. Fink:
Neuron Pruning for Compressing Deep Networks using Maxout Architectures. CoRR abs/1707.06838 (2017) - [i6]Sebastian Sudholt, Neha Gurjar, Gernot A. Fink:
Learning Deep Representations for Word Spotting Under Weak Supervision. CoRR abs/1712.00250 (2017) - [i5]Sebastian Sudholt, Gernot A. Fink:
Attribute CNNs for Word Spotting in Handwritten Documents. CoRR abs/1712.07487 (2017) - 2016
- [j15]Rene Grzeszick, Gernot A. Fink:
An Iterative Partitioning-Based Method for Semi-Supervised Annotation Learning in Image Collections. Int. J. Pattern Recognit. Artif. Intell. 30(2): 1655005:1-1655005:19 (2016) - [j14]Irfan Ahmad, Sabri A. Mahmoud, Gernot A. Fink:
Open-vocabulary recognition of machine-printed Arabic text using hidden Markov models. Pattern Recognit. 51: 97-111 (2016) - [j13]Axel Plinge, Florian Jacob, Reinhold Haeb-Umbach, Gernot A. Fink:
Acoustic Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art algorithms. IEEE Signal Process. Mag. 33(4): 14-29 (2016) - [c110]Christian Wieprecht, Leonard Rothacker, Gernot A. Fink:
Word Spotting in Historical Document Collections with Online-Handwritten Queries. DAS 2016: 162-167 - [c109]Julian Kürby, Rene Grzeszick, Axel Plinge, Gernot A. Fink:
Bag-of-Features Acoustic Event Detection for Sensor Networks. DCASE 2016: 55-59 - [c108]Leonard Rothacker, Gernot A. Fink:
Robust Output Modeling in Bag-of-Features HMMs for Handwriting Recognition. ICFHR 2016: 199-204 - [c107]Sebastian Sudholt, Gernot A. Fink:
PHOCNet: A Deep Convolutional Neural Network for Word Spotting in Handwritten Documents. ICFHR 2016: 277-282 - [c106]Irfan Ahmad, Gernot A. Fink:
Class-Based Contextual Modeling for Handwritten Arabic Text Recognition. ICFHR 2016: 554-559 - [c105]Sascha Feldhorst, Mojtaba Masoudinejad, Michael ten Hompel, Gernot A. Fink:
Motion Classification for Analyzing the Order Picking Process using Mobile Sensors - General Concepts, Case Studies and Empirical Evaluation. ICPRAM 2016: 706-713 - [c104]Juan Ignacio Toledo, Sebastian Sudholt, Alicia Fornés, Jordi Cucurull, Gernot A. Fink, Josep Lladós:
Handwritten Word Image Categorization with Convolutional Neural Networks and Spatial Pyramid Pooling. S+SSPR 2016: 543-552 - [i4]Sebastian Sudholt, Gernot A. Fink:
PHOCNet: A Deep Convolutional Neural Network for Word Spotting in Handwritten Documents. CoRR abs/1604.00187 (2016) - [i3]Rene Grzeszick, Gernot A. Fink:
Zero-shot object prediction and context modeling using semantic scene knowledge. CoRR abs/1604.07952 (2016) - [i2]Rene Grzeszick, Sebastian Sudholt, Gernot A. Fink:
Optimistic and Pessimistic Neural Networks for Scene and Object Recognition. CoRR abs/1609.07982 (2016) - 2015
- [j12]Szilárd Vajda, Thomas Plötz, Gernot A. Fink:
Camera-Based Whiteboard Reading for Understanding Mind Maps. Int. J. Pattern Recognit. Artif. Intell. 29(3): 1553003:1-1553003:26 (2015) - [c103]Rene Grzeszick, Axel Plinge, Gernot A. Fink:
Temporal Acoustic Words for Online Acoustic Event Detection. GCPR 2015: 142-153 - [c102]Sebastian Sudholt, Gernot A. Fink:
A Modified Isomap Approach to Manifold Learning in Word Spotting. GCPR 2015: 529-539 - [c101]Elisa H. Barney Smith, Gernot A. Fink:
Template generation from postmarks using cascaded unsupervised learning. HIP@ICDAR 2015: 92-98 - [c100]Leonard Rothacker, Denis Fisseler, Gerfrid G. W. Müller, Frank Weichert, Gernot A. Fink:
Retrieving Cuneiform Structures in a Segmentation-free Word Spotting Framework. HIP@ICDAR 2015: 129-136 - [c99]Irfan Ahmad, Gernot A. Fink:
Training an Arabic handwriting recognizer without a handwritten training data set. ICDAR 2015: 476-480 - [c98]Sebastian Sudholt, Leonard Rothacker, Gernot A. Fink:
Learning local image descriptors for word spotting. ICDAR 2015: 651-655 - [c97]Leonard Rothacker, Gernot A. Fink:
Segmentation-free query-by-string word spotting with Bag-of-Features HMMs. ICDAR 2015: 661-665 - [c96]Irfan Ahmad, Gernot A. Fink:
Multi-stage HMM based Arabic text recognition with rescoring. ICDAR 2015: 751-755 - [c95]Johann Strassburg, Rene Grzeszick, Leonard Rothacker, Gernot A. Fink:
On the Influence of Superpixel Methods for Image Parsing. VISAPP (2) 2015: 518-527 - 2014
- [b3]Gernot A. Fink:
Markov Models for Pattern Recognition - From Theory to Applications. Advances in Computer Vision and Pattern Recognition, Springer 2014, ISBN 978-1-4471-6307-7, pp. 1-253 - [j11]Jan Richarz, Szilárd Vajda, Rene Grzeszick, Gernot A. Fink:
Semi-supervised learning for character recognition in historical archive documents. Pattern Recognit. 47(3): 1011-1020 (2014) - [j10]Sabri A. Mahmoud, Irfan Ahmad, Wasfi G. Al-Khatib, Mohammad R. Alshayeb, Mohammad Tanvir Parvez, Volker Märgner, Gernot A. Fink:
KHATT: An open Arabic offline handwritten text database. Pattern Recognit. 47(3): 1096-1112 (2014) - [c94]Sebastian Sudholt, Leonard Rothacker, Gernot A. Fink:
Kernel Density Estimation for Post Recognition Score Analysis. GCPR 2014: 593-603 - [c93]Rene Grzeszick, Gernot A. Fink:
Recognizing Scene Categories of Historical Postcards. GCPR 2014: 604-615 - [c92]Axel Plinge, Gernot A. Fink:
Geometry calibration of distributed microphone arrays exploiting audio-visual correspondences. EUSIPCO 2014: 116-120 - [c91]Axel Plinge, Gernot A. Fink:
Multi-speaker tracking using multiple distributed microphone arrays. ICASSP 2014: 614-618 - [c90]Axel Plinge, Rene Grzeszick, Gernot A. Fink:
A Bag-of-Features approach to acoustic event detection. ICASSP 2014: 3704-3708 - [c89]Gernot A. Fink, Leonard Rothacker, Rene Grzeszick:
Grouping Historical Postcards Using Query-by-Example Word Spotting. ICFHR 2014: 470-475 - [c88]Irfan Ahmad, Gernot A. Fink, Sabri A. Mahmoud:
Improvements in Sub-character HMM Model Based Arabic Text Recognition. ICFHR 2014: 537-542 - [c87]Axel Plinge, Gernot A. Fink:
Geometry calibration of multiple microphone arrays in highly reverberant environments. IWAENC 2014: 243-247 - [c86]Fabian Nasse, Rene Grzeszick, Gernot A. Fink:
Toward Object Recognition with Proto-objects and Proto-scenes. VISAPP (2) 2014: 284-291 - 2013
- [c85]Axel Plinge, Gernot A. Fink:
Online multi-speaker tracking using multiple microphone arrays informed by auditory scene analysis. EUSIPCO 2013: 1-5 - [c84]Leonard Rothacker, Gernot A. Fink, P. Banerjee, Ujjwal Bhattacharya, B. B. Chaudhuri:
Bag-of-features HMMs for segmentation-free Bangla word spotting. MOCR@ICDAR 2013: 5:1-5:5 - [c83]Irfan Ahmad, Leonard Rothacker, Gernot A. Fink, Sabri A. Mahmoud:
Novel Sub-character HMM Models for Arabic Text Recognition. ICDAR 2013: 658-662 - [c82]Akmal Junaidi, Rene Grzeszick, Gernot A. Fink, Szilárd Vajda:
Statistical Modeling of the Relation between Characters and Diacritics in Lampung Script. ICDAR 2013: 663-667 - [c81]Leonard Rothacker, Marçal Rusiñol, Gernot A. Fink:
Bag-of-Features HMMs for Segmentation-Free Word Spotting in Handwritten Documents. ICDAR 2013: 1305-1309 - [c80]Rene Grzeszick, Leonard Rothacker, Gernot A. Fink:
Bag-of-features representations using spatial visual vocabularies for object classification. ICIP 2013: 2867-2871 - 2012
- [c79]Fabian Nasse, Gernot A. Fink:
A Bottom-Up Approach for Learning Visual Object Detection Models from Unreliable Sources. DAGM/OAGM Symposium 2012: 488-497 - [c78]J. Schumacher, D. Sakic, Arne Grumpe, Gernot A. Fink, Christian Wöhler:
Active Learning of Ensemble Classifiers for Gesture Recognition. DAGM/OAGM Symposium 2012: 498-507 - [c77]Jan Richarz, Szilárd Vajda, Gernot A. Fink:
Towards Semi-supervised Transcription of Handwritten Historical Weather Reports. Document Analysis Systems 2012: 180-184 - [c76]Jan Richarz, Szilárd Vajda, Gernot A. Fink:
Annotating Handwritten Characters with Minimal Human Involvement in a Semi-supervised Learning Strategy. ICFHR 2012: 23-28 - [c75]Leonard Rothacker, Szilárd Vajda, Gernot A. Fink:
Bag-of-Features Representations for Offline Handwriting Recognition Applied to Arabic Script. ICFHR 2012: 149-154 - [c74]Sabri A. Mahmoud, Irfan Ahmad, Mohammad R. Alshayeb, Wasfi G. Al-Khatib, Mohammad Tanvir Parvez, Gernot A. Fink, Volker Märgner, Haikal El Abed:
KHATT: Arabic Offline Handwritten Text Database. ICFHR 2012: 449-454 - [c73]Hanno Jaspers, Boris Schauerte, Gernot A. Fink:
Sift-based Camera Localization using Reference Objects for Application in Multi-camera Environments and Robotics. ICPRAM (2) 2012: 330-336 - [c72]Axel Plinge, Marius H. Hennecke, Gernot A. Fink:
Reverberation-Robust Online Multi-Speaker Tracking by Using a Microphone Array and CASA Processing. IWAENC 2012 - 2011
- [b2]Thomas Plötz, Gernot A. Fink:
Markov Models for Handwriting Recognition. Springer Briefs in Computer Science, Springer 2011, ISBN 978-1-4471-2187-9, pp. i-ix, 1-75 - [j9]Jan Richarz, Gernot A. Fink:
Visual recognition of 3D emblematic gestures in an HMM framework. J. Ambient Intell. Smart Environ. 3(3): 193-211 (2011) - [c71]Szilárd Vajda, Leonard Rothacker, Gernot A. Fink:
A Method for Camera-Based Interactive Whiteboard Reading. CBDAR 2011: 112-125 - [c70]Sebastian Stein, Gernot A. Fink:
A new method for combined face detection and identification using interest point descriptors. FG 2011: 519-524 - [c69]Axel Plinge, Daniel Hauschildt, Marius H. Hennecke, Gernot A. Fink:
Multiple speaker tracking using a microphone array by combining auditory processing and a gaussian mixture cardinalized probability hypothesis density filter. ICASSP 2011: 2476-2479 - [c68]Szilárd Vajda, Akmal Junaidi, Gernot A. Fink:
A Semi-supervised Ensemble Learning Approach for Character Labeling with Minimal Human Effort. ICDAR 2011: 259-263 - [c67]Joerg Schmalenstroeer, Florian Jacob, Reinhold Haeb-Umbach, Marius H. Hennecke, Gernot A. Fink:
Unsupervised Geometry Calibration of Acoustic Sensor Networks Using Source Correspondences. INTERSPEECH 2011: 597-600 - 2010
- [c66]Marius H. Hennecke, Gernot A. Fink:
Robust Multichannel Acoustic Time Delay Estimation in Reverberant Environments. Sprachkommunikation 2010: 1-4 - [c65]Christian Kleine-Cosack, Marius H. Hennecke, Szilárd Vajda, Gernot A. Fink:
Exploiting Acoustic Source Localization for Context Classification in Smart Environments. AmI 2010: 157-166 - [c64]Boris Schauerte, Gernot A. Fink:
Web-Based Learning of Naturalized Color Models for Human-Machine Interaction. DICTA 2010: 498-503 - [c63]Szilárd Vajda, Gernot A. Fink:
Strategies for Training Robust Neural Network Based Digit Recognizers on Unbalanced Data Sets. ICFHR 2010: 148-153 - [c62]Gernot A. Fink, Szilárd Vajda, Ujjwal Bhattacharya, Swapan K. Parui, Bidyut B. Chaudhuri:
Online Bangla Word Recognition Using Sub-Stroke Level Features and Hidden Markov Models. ICFHR 2010: 393-398 - [c61]Boris Schauerte, Gernot A. Fink:
Focusing computational visual attention in multi-modal human-robot interaction. ICMI-MLMI 2010: 6:1-6:8 - [c60]Jan Richarz, Gernot A. Fink:
Feature Representations for the Recognition of 3D Emblematic Gestures. HBU 2010: 113-124 - [c59]Szilárd Vajda, Gernot A. Fink:
Exploring Pattern Selection Strategies for Fast Neural Network Training. ICPR 2010: 2913-2916 - [c58]Boris Schauerte, Jan Richarz, Gernot A. Fink:
Saliency-based identification and recognition of pointed-at objects. IROS 2010: 4638-4643
2000 – 2009
- 2009
- [j8]Thomas Plötz, Gernot A. Fink:
Markov models for offline handwriting recognition: a survey. Int. J. Document Anal. Recognit. 12(4): 269-298 (2009) - [j7]Szilárd Vajda, Thomas Plötz, Gernot A. Fink:
Layout Analysis for Camera-Based Whiteboard Notes. J. Univers. Comput. Sci. 15(18): 3307-3324 (2009) - [c57]Fabian Nasse, Christian Thurau, Gernot A. Fink:
Face Detection Using GPU-Based Convolutional Neural Networks. CAIP 2009: 83-90 - [c56]Boris Schauerte, Jan Richarz, Thomas Plötz, Christian Thurau, Gernot A. Fink:
Multi-modal and multi-camera attention in smart environments. ICMI 2009: 261-268 - [c55]Boris Schauerte, Thomas Plötz, Gernot A. Fink:
A Multi-modal Attention System for Smart Environments. ICVS 2009: 73-83 - [c54]Kai Lienemann, Thomas Plötz, Gernot A. Fink:
Stacking for Ensembles of Local Experts in Metabonomic Applications. MCS 2009: 498-508 - 2008
- [c53]Thomas Plötz, Christian Kleine-Cosack, Gernot A. Fink:
Towards Human Centered Ambient Intelligence. AmI 2008: 26-43 - [c52]Kai Lienemann, Thomas Plötz, Gernot A. Fink:
SVM ensemble classification of NMR spectra based on different configurations of data processing techniques. ICPR 2008: 1-4 - [c51]Birgit Möller, Thomas Plötz, Gernot A. Fink:
Calibration-free camera hand-over for fast and reliable person tracking in multi-camera setups. ICPR 2008: 1-4 - [c50]Jan Richarz, Thomas Plötz, Gernot A. Fink:
Real-time detection and interpretation of 3D deictic gestures for interactionwith an intelligent environment. ICPR 2008: 1-4 - [c49]Kai Lienemann, Thomas Plötz, Gernot A. Fink:
Automatic Classification of NMR Spectra by Ensembles of Local Experts. SSPR/SPR 2008: 790-800 - 2007
- [c48]Gernot A. Fink, Thomas Plötz:
On the Use of Context-Dependent Modeling Units for HMM-Based Offline Handwriting Recognition. ICDAR 2007: 729-733 - [c47]Kai Lienemann, Thomas Plötz, Gernot A. Fink:
On the Application of SVM-Ensembles Based on Adapted Random Subspace Sampling for Automatic Classification of NMR Data. MCS 2007: 42-51 - 2006
- [j6]Thomas Plötz, Gernot A. Fink:
Pattern recognition methods for advanced stochastic protein sequence analysis using HMMs. Pattern Recognit. 39(12): 2267-2280 (2006) - [c46]Thomas Plötz, Gernot A. Fink, Peter Husemann, Sven Kanies, Kai Lienemann, Tobias Marschall, Marcel Martin, Lars Schillingmann, Matthias Steinrücken, Henner Sudek:
Automatic Detection of Song Changes in Music Mixes Using Stochastic Models. ICPR (3) 2006: 665-668 - 2005
- [j5]Markus Wienecke, Gernot A. Fink, Gerhard Sagerer:
Toward automatic video-based whiteboard reading. Int. J. Document Anal. Recognit. 7(2-3): 188-200 (2005) - [c45]Gernot A. Fink, Thomas Plötz:
On Appearance-Based Feature Extraction Methods for Writer-Independent Handwritten Text Recognition. ICDAR 2005: 1070-1074 - [c44]Ioannis Toptsis, Axel Haasch, Sonja Hwel, Jannik Fritsch, Gernot A. Fink:
Modality integration and dialog management for a robotic assistant. INTERSPEECH 2005: 837-840 - [i1]Patrick C. McGuire, Jannik Fritsch, Jochen J. Steil, Frank Röthling, Gernot A. Fink, Sven Wachsmuth, Gerhard Sagerer, Helge J. Ritter:
Multi-Modal Human-Machine Communication for Instructing Robot Grasping Tasks. CoRR abs/cs/0505064 (2005) - 2004
- [c43]Thomas Plötz, Gernot A. Fink:
Feature Extraction for Improved Profile HMM based Biological Sequence Analysis. ICPR (2) 2004: 315-318 - [c42]Ioannis Toptsis, Shuyin Li, Britta Wrede, Gernot A. Fink:
A multi-modal dialog system for a mobile robot. INTERSPEECH 2004: 273-276 - [c41]Gernot A. Fink, Thomas Plötz:
Integrating speaker identification and learning with adaptive speech recognition. Odyssey 2004: 185-192 - 2003
- [j4]Jannik Fritsch, Marcus Kleinehagenbrock, Sebastian Lang, Thomas Plötz, Gernot A. Fink, Gerhard Sagerer:
Multi-modal anchoring for human-robot interaction. Robotics Auton. Syst. 43(2-3): 133-147 (2003) - [c40]Gernot A. Fink, Jannik Fritsch, Nadine Leßmann, Helge J. Ritter, Gerhard Sagerer, Jochen J. Steil, Ipke Wachsmuth:
Architekturen situierter Kommunikatoren: Von Perzeption über Kognition zum Lernen. GI Jahrestagung (2) 2003: 29-44 - [c39]Markus Wienecke, Gernot A. Fink, Gerhard Sagerer:
Towards Automatic Video-based Whiteboard Reading. ICDAR 2003: 87-91 - [c38]Sebastian Lang, Marcus Kleinehagenbrock, Sascha Hohenner, Jannik Fritsch, Gernot A. Fink, Gerhard Sagerer:
Providing the basis for human-robot-interaction: a multi-modal attention system for a mobile robot. ICMI 2003: 28-35 - [c37]Thurid Spiess, Britta Wrede, Gernot A. Fink, Franz Kummert:
Data-driven pronunciation modeling for ASR using acoustic subword units. INTERSPEECH 2003: 2549-2552 - 2002
- [j3]Katrin Kirchhoff, Gernot A. Fink, Gerhard Sagerer:
Combining acoustic and articulatory feature information for robust speech recognition. Speech Commun. 37(3-4): 303-319 (2002) - [c36]Sascha Wendt, Gernot A. Fink, Franz Kummert:
Dynamic search-space pruning for time-constrained speech recognition. INTERSPEECH 2002: 377-380 - [c35]Thomas Plötz, Gernot A. Fink:
Robust time-synchronous environmental adaptation for continuous speech recognition systems. INTERSPEECH 2002: 1409-1412 - [c34]Patrick C. McGuire, Jannik Fritsch, Jochen J. Steil, Frank Röthling, Gernot A. Fink, Sven Wachsmuth, Gerhard Sagerer, Helge J. Ritter:
Multi-modal human-machine communication for instructing robot grasping tasks. IROS 2002: 1082-1088 - 2001
- [c33]Christian Bauckhage, Gernot A. Fink, Jannik Fritsch, Franz Kummert, Frank Lömker, Gerhard Sagerer, Sven Wachsmuth:
An integrated system for cooperative man-machine interaction. CIRA 2001: 320-325 - [c32]Gernot A. Fink, Markus Wienecke, Gerhard Sagerer:
Video-Based On-line Handwriting Recognition. ICDAR 2001: 226-230 - [c31]Markus Wienecke, Gernot A. Fink, Gerhard Sagerer:
A Handwriting Recognition System Based on Visual Input. ICVS 2001: 63-72 - [c30]Sascha Wendt, Gernot A. Fink, Franz Kummert:
Forward masking for increased robustness in automatic speech recognition. INTERSPEECH 2001: 615-618 - [c29]Britta Wrede, Gernot A. Fink, Gerhard Sagerer:
An investigation of modelling aspects for ratedependent speech recognition. INTERSPEECH 2001: 2527-2530 - 2000
- [c28]Sven Wachsmuth, Gernot A. Fink, Franz Kummert, Gerhard Sagerer:
Using Speech in Visual Object Recognition. DAGM-Symposium 2000: 428-435 - [c27]Katrin Kirchhoff, Gernot A. Fink, Gerhard Sagerer:
Conversational speech recognition using acoustic and articulatory input. ICASSP 2000: 1435-1438 - [c26]Britta Wrede, Gernot A. Fink, Gerhard Sagerer:
Influence of duration on static and dynamic properties of German vowels in spontaneous speech. INTERSPEECH 2000: 82-85 - [c25]Christoph Schillo, Gernot A. Fink, Franz Kummert:
Grapheme based speech recognition for large vocabularies. INTERSPEECH 2000: 584-587 - [c24]Franz Kummert, Gernot A. Fink, Gerhard Sagerer:
A hybrid speech recognizer combining HMMs and polynomial classification. INTERSPEECH 2000: 814-817 - [c23]Gernot A. Fink, Gerhard Sagerer:
Zeitsynchrone Suche mit n-Gramm-Modellen höherer Ordnung. KONVENS 2000: 145-150
1990 – 1999
- 1999
- [c22]Hans Brandt-Pook, Gernot A. Fink, Sven Wachsmuth, Gerhard Sagerer:
Integrated Recognition and Interpretation of Speech for a Construction Task Domain. HCI (1) 1999: 550-554 - [c21]Christel Brindöpke, Gernot A. Fink, Franz Kummert:
A comparative study of HMM-based approaches for the automatic recognition of perceptually relevant aspects of spontaneous German speech melody. EUROSPEECH 1999: 699-710 - [c20]Gernot A. Fink:
Developing HMM-Based Recognizers with ESMERALDA. TSD 1999: 229-234 - 1998
- [c19]Gernot A. Fink, Nils Jungclaus, Helge J. Ritter, Gerhard Sagerer:
Entwicklung verteilter Musteranalysesysteme mit DACS. DAGM-Symposium 1998: 429-438 - [c18]Sven Wachsmuth, Gernot A. Fink, Gerhard Sagerer:
Integration of parsing and incremental speech recognition. EUSIPCO 1998: 1-4 - [c17]Franz Kummert, Gernot A. Fink, Gerhard Sagerer, Elke Braun:
Hybrid object recognition in image sequences. ICPR 1998: 1165-1170 - [c16]Christel Brindöpke, Gernot A. Fink, Franz Kummert, Gerhard Sagerer:
A HMM-based recognition system for perceptive relevant pitch movements of spontaneous German speech. ICSLP 1998 - 1997
- [c15]Franz Kummert, Gernot A. Fink, Gerhard Sagerer:
Schritthaltende hybride Objektdetektion. DAGM-Symposium 1997: 137-144 - 1996
- [c14]Hans Brandt-Pook, Gernot A. Fink, Bernd Hildebrandt, Franz Kummert, Gerhard Sagerer:
A robust dialogue system for making an appointment. ICSLP 1996: 693-696 - [c13]Gerhard Sagerer, Heike Rautenstrauch, Gernot A. Fink, Bernd Hildebrandt, A. Jusek, Franz Kummert:
Incremental generation of word graphs. ICSLP 1996: 2143-2146 - 1995
- [b1]Gernot A. Fink:
Integration von Spracherkennung und Sprachverstehen. Bielefeld University, Germany, DISKI 103, Infix 1995, ISBN 978-3-89601-103-9, pp. 1-126 - [j2]Gernot A. Fink, Franz Kummert, Gerhard Sagerer:
With Friends like Statistics who needs Liguistics? Statistische versus wissensbasierte Sprachverarbeitung. Künstliche Intell. 9(5): 31-33 (1995) - [c12]Gernot A. Fink, Franz Kummert, Gerhard Sagerer:
Robuste inkrementelle Verarbeitung gesprochener Sprache. DAGM-Symposium 1995: 68-75 - [c11]Gernot A. Fink, Michaela Johanntokrax, Brigitte Schaffranietz:
A flexible formal language for the orthographic transcription of spontaneous spoken dialogues. EUROSPEECH 1995: 871-874 - [c10]Uta Naeve, Gudrun Socher, Gernot A. Fink, Franz Kummert, Gerhard Sagerer:
Generation of language models using the results of image analysis. EUROSPEECH 1995: 1739-1742 - [c9]A. Jusek, Gernot A. Fink, Franz Kummert, Heike Rautenstrauch, Gerhard Sagerer:
Detection of unknown words and its evaluation. EUROSPEECH 1995: 2107-2110 - 1994
- [j1]Marion Mast, Franz Kummert, Ute Ehrlich, Gernot A. Fink, Thomas Kuhn, Heinrich Niemann, Gerhard Sagerer:
A Speech Understanding and Dialog System with a Homogeneous Linguistic Knowledge Base. IEEE Trans. Pattern Anal. Mach. Intell. 16(2): 179-194 (1994) - [c8]Bernd Hildebrandt, Gernot A. Fink, Franz Kummert, Gerhard Sagerer:
Understanding of time constituents in spoken language dialogues. ICSLP 1994: 939-942 - [c7]Gernot A. Fink, Franz Kummert, Gerhard Sagerer:
A close high-level interaction scheme for recognition and interpretation of speech. ICSLP 1994: 2183-2186 - 1993
- [c6]Gernot A. Fink, Franz Kummert, Gerhard Sagerer, Bernd Seestaedt:
Robust interpretation of speech. EUROSPEECH 1993: 1529-1532 - [c5]Gernot A. Fink, Franz Kummert, Gerhard Sagerer, Ernst Günter Schukat-Talamazzini:
Speech recognition using semantic hidden Markov networks. EUROSPEECH 1993: 1571-1574 - [c4]Bernd Hildebrandt, Gernot A. Fink, Franz Kummert, Gerhard Sagerer:
Modeling of time constituents for speech understanding. EUROSPEECH 1993: 2247-2250 - 1992
- [c3]Franz Kummert, Gernot A. Fink, Gerhard Sagerer:
Robuste Verarbeitung fehlerhafter Segmentierungsergebnisse. DAGM-Symposium 1992: 269-273 - [c2]Gernot A. Fink, Franz Kummert, Gerhard Sagerer, Ernst Günter Schukat-Talamazzini, Heinrich Niemann:
Semantic hidden Markov networks. ICSLP 1992: 919-922 - [c1]Wieland Eckert, Gernot A. Fink, Andreas Kießling, Ralf Kompe, Thomas Kuhn, Franz Kummert, Marion Mast, Heinrich Niemann, Elmar Nöth, Reinhard Prechtel, Stefan Rieck, Gerhard Sagerer, A. Scheuer, Ernst Günter Schukat-Talamazzini, Bernd Seestaedt:
EVAR: Ein sprachverstehendes Dialosystem. KONVENS 1992: 49-58
Coauthor Index
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