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Sebastian Sudholt
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2020 – today
- 2020
- [c11]Oliver Willers, Sebastian Sudholt, Shervin Raafatnia, Stephanie Abrecht:
Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks. SAFECOMP Workshops 2020: 336-350 - [i7]Oliver Willers, Sebastian Sudholt, Shervin Raafatnia, Stephanie Abrecht:
Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks. CoRR abs/2001.08001 (2020)
2010 – 2019
- 2018
- [b1]Sebastian Sudholt:
Learning attribute representations with deep convolutional neural networks for word spotting. Technical University of Dortmund, Germany, 2018 - [j1]Sebastian Sudholt, Gernot A. Fink:
Attribute CNNs for word spotting in handwritten documents. Int. J. Document Anal. Recognit. 21(3): 199-218 (2018) - [c10]Neha Gurjar, Sebastian Sudholt, Gernot A. Fink:
Learning Deep Representations for Word Spotting under Weak Supervision. DAS 2018: 7-12 - [i6]Rene Grzeszick, Sebastian Sudholt, Gernot A. Fink:
Weakly Supervised Object Detection with Pointwise Mutual Information. CoRR abs/1801.08747 (2018) - [i5]Eugen Rusakov, Sebastian Sudholt, Fabian Wolf, Gernot A. Fink:
Expolring Architectures for CNN-Based Word Spotting. CoRR abs/1806.10866 (2018) - 2017
- [c9]Sebastian Sudholt, Leonard Rothacker, Gernot A. Fink:
Query-by-Online Word Spotting Revisited: Using CNNs for Cross-Domain Retrieval. ICDAR 2017: 481-486 - [c8]Sebastian Sudholt, Gernot A. Fink:
Evaluating Word String Embeddings and Loss Functions for CNN-Based Word Spotting. ICDAR 2017: 493-498 - [c7]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 - [c6]Rene Grzeszick, Sebastian Sudholt, Gernot A. Fink:
Optimistic and pessimistic neural networks for object recognition. ICIP 2017: 350-354 - [i4]Sebastian Sudholt, Neha Gurjar, Gernot A. Fink:
Learning Deep Representations for Word Spotting Under Weak Supervision. CoRR abs/1712.00250 (2017) - [i3]Sebastian Sudholt, Gernot A. Fink:
Attribute CNNs for Word Spotting in Handwritten Documents. CoRR abs/1712.07487 (2017) - 2016
- [c5]Sebastian Sudholt, Gernot A. Fink:
PHOCNet: A Deep Convolutional Neural Network for Word Spotting in Handwritten Documents. ICFHR 2016: 277-282 - [c4]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 - [i2]Sebastian Sudholt, Gernot A. Fink:
PHOCNet: A Deep Convolutional Neural Network for Word Spotting in Handwritten Documents. CoRR abs/1604.00187 (2016) - [i1]Rene Grzeszick, Sebastian Sudholt, Gernot A. Fink:
Optimistic and Pessimistic Neural Networks for Scene and Object Recognition. CoRR abs/1609.07982 (2016) - 2015
- [c3]Sebastian Sudholt, Gernot A. Fink:
A Modified Isomap Approach to Manifold Learning in Word Spotting. GCPR 2015: 529-539 - [c2]Sebastian Sudholt, Leonard Rothacker, Gernot A. Fink:
Learning local image descriptors for word spotting. ICDAR 2015: 651-655 - 2014
- [c1]Sebastian Sudholt, Leonard Rothacker, Gernot A. Fink:
Kernel Density Estimation for Post Recognition Score Analysis. GCPR 2014: 593-603
Coauthor Index
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