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ORCIDGernot A. Fink
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- affiliation: TU Dortmund, Department of Computer Science
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2020 – today
- 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] - [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 - [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 - [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]