Follow
Sebastian Sudholt
Title
Cited by
Cited by
Year
Phocnet: A deep convolutional neural network for word spotting in handwritten documents
S Sudholt, GA Fink
2016 15th International Conference on Frontiers in Handwriting Recognition …, 2016
3122016
Safety concerns and mitigation approaches regarding the use of deep learning in safety-critical perception tasks
O Willers, S Sudholt, S Raafatnia, S Abrecht
Computer Safety, Reliability, and Security. SAFECOMP 2020 Workshops: DECSoS …, 2020
882020
Evaluating word string embeddings and loss functions for CNN-based word spotting
S Sudholt, GA Fink
2017 14th iapr international conference on document analysis and recognition …, 2017
812017
Attribute CNNs for word spotting in handwritten documents
S Sudholt, GA Fink
International journal on document analysis and recognition (ijdar) 21, 199-218, 2018
692018
Learning deep representations for word spotting under weak supervision
N Gurjar, S Sudholt, GA Fink
2018 13th IAPR international workshop on document analysis systems (DAS), 7-12, 2018
52*2018
A modified isomap approach to manifold learning in word spotting
S Sudholt, GA Fink
German Conference on Pattern Recognition, 529-539, 2015
332015
Word hypotheses for segmentation-free word spotting in historic document images
L Rothacker, S Sudholt, E Rusakov, M Kasperidus, GA Fink
2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017
242017
Handwritten word image categorization with convolutional neural networks and spatial pyramid pooling
JI Toledo, S Sudholt, A Fornés, J Cucurull, GA Fink, J Lladós
Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2016
182016
Learning local image descriptors for word spotting
S Sudholt, L Rothacker, GA Fink
2015 13th International Conference on Document Analysis and Recognition …, 2015
122015
Expolring architectures for cnn-based word spotting
E Rusakov, S Sudholt, F Wolf, GA Fink
arXiv preprint arXiv:1806.10866, 2018
112018
Query-by-online word spotting revisited: Using cnns for cross-domain retrieval
S Sudholt, L Rothacker, GA Fink
2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017
42017
Optimistic and pessimistic neural networks for scene and object recognition
R Grzeszick, S Sudholt, GA Fink
arXiv preprint arXiv:1609.07982, 2016
42016
Learning attribute representations with deep convolutional neural networks for word spotting
S Sudholt
32018
Weakly supervised object detection with pointwise mutual information
R Grzeszick, S Sudholt, GA Fink
arXiv preprint arXiv:1801.08747, 2018
22018
Optimistic and pessimistic neural networks for object recognition
R Grzeszick, S Sudholt, GA Fink
2017 IEEE International Conference on Image Processing (ICIP), 350-354, 2017
12017
Method for training an artificial neural network, artificial neural network, use of an artificial neural network, and corresponding computer program, machine-readable memory …
O Willers, S Sudholt
US Patent 11,699,075, 2023
2023
Method for determining a confidence value of a detected object
O Willers, S Sudholt, S Raafatnia, S Abrecht
US Patent 11,586,855, 2023
2023
Method and device for evaluating an image classifier
C Heinzemann, C Gladisch, J Oehlerking, K Groh, M Woehrle, M Rittel, ...
US Patent App. 17/790,578, 2023
2023
Method for estimating a global uncertainty of a neural network
O Willers, S Sudholt, S Raafatnia, S Abrecht
US Patent 11,531,899, 2022
2022
Method for calculating a quality measure for assessing an object detection algorithm
O Willers, S Sudholt
US Patent App. 17/777,222, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–20