Sebastian Sudholt

According to our database, Sebastian Sudholt authored at least 16 papers between 2014 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2020

Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks.

Oliver Willers, Sebastian Sudholt, Shervin Raafatnia, Stephanie Abrecht

Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2020 Workshops, 2020

2018

Learning attribute representations with deep convolutional neural networks for word spotting.

Sebastian Sudholt

PhD thesis, 2018

Attribute CNNs for word spotting in handwritten documents.

Sebastian Sudholt, Gernot A. Fink

Int. J. Document Anal. Recognit., 2018

Expolring Architectures for CNN-Based Word Spotting.

Eugen Rusakov, Sebastian Sudholt, Fabian Wolf, Gernot A. Fink

CoRR, 2018

Weakly Supervised Object Detection with Pointwise Mutual Information.

Rene Grzeszick, Sebastian Sudholt, Gernot A. Fink

CoRR, 2018

Learning Deep Representations for Word Spotting under Weak Supervision.

Neha Gurjar, Sebastian Sudholt, Gernot A. Fink

Proceedings of the 13th IAPR International Workshop on Document Analysis Systems, 2018

2017

Optimistic and pessimistic neural networks for object recognition.

Rene Grzeszick, Sebastian Sudholt, Gernot A. Fink

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Query-by-Online Word Spotting Revisited: Using CNNs for Cross-Domain Retrieval.

Sebastian Sudholt, Leonard Rothacker, Gernot A. Fink

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

Evaluating Word String Embeddings and Loss Functions for CNN-Based Word Spotting.

Sebastian Sudholt, Gernot A. Fink

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

Word Hypotheses for Segmentation-Free Word Spotting in Historic Document Images.

Leonard Rothacker, Sebastian Sudholt, Eugen Rusakov, Matthias Kasperidus, Gernot A. Fink

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

2016

Optimistic and Pessimistic Neural Networks for Scene and Object Recognition.

Rene Grzeszick, Sebastian Sudholt, Gernot A. Fink

CoRR, 2016

Handwritten Word Image Categorization with Convolutional Neural Networks and Spatial Pyramid Pooling.

Juan Ignacio Toledo, Sebastian Sudholt, Alicia Fornés, Jordi Cucurull, Gernot A. Fink, Josep Lladós

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

PHOCNet: A Deep Convolutional Neural Network for Word Spotting in Handwritten Documents.

Sebastian Sudholt, Gernot A. Fink

Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016

2015

Learning local image descriptors for word spotting.

Sebastian Sudholt, Leonard Rothacker, Gernot A. Fink

Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

A Modified Isomap Approach to Manifold Learning in Word Spotting.

Sebastian Sudholt, Gernot A. Fink

Proceedings of the Pattern Recognition - 37th German Conference, 2015

2014

Kernel Density Estimation for Post Recognition Score Analysis.

Sebastian Sudholt, Leonard Rothacker, Gernot A. Fink

Proceedings of the Pattern Recognition - 36th German Conference, 2014