sudholt.bib

@article{Sudholt2018-ACF,
  %  volume = {},
  %  pages = {},
  title = {{Attribute CNNs for Word Spotting in Handwritten Documents}},
  author = {Sebastian Sudholt AND Gernot A. Fink},
  link = {https://link.springer.com/article/10.1007/s10032-018-0295-0},
  year = {2018},
  %  number = {},
  journal = {Int. Journal on Document Analysis and Recognition}
}
@inproceedings{Gurjar2018-LDR,
  title = {{Learning Deep Representations for Word Spotting Under Weak Supervision}},
  booktitle = {Int. Workshop on Document Analysis Systems},
  author = {Neha Gurjar AND Sebastian Sudholt AND Gernot A. Fink},
  note = {to appear},
  year = {2018}
}
@inproceedings{Grzeszick2017-OPN,
  title = {{Optimistic and Pessimistic Neural Networks for Object Recognition}},
  booktitle = {Proc. IEEE Intl. Conf. on Image Processing},
  author = {Rene Grzeszick AND Sebastian Sudholt AND Gernot A. Fink},
  year = {2017}
}
@inproceedings{Rothacker2017-WHF,
  author = {Leonard Rothacker AND Sebastian Sudholt AND Eugen Rusakov AND Matthias Kasperidus AND Gernot A. Fink},
  title = {{Word Hypotheses for Segmentation-free Word Spotting in Historic Document Images}},
  booktitle = {Proc. Int. Conf. on Document Analysis and Recognition},
  address = {Kyoto, Japan},
  note = {to appear},
  year = {2017}
}
@inproceedings{Sudholt2017-QBO,
  author = {Sebastian Sudholt AND Leonard Rothacker AND Gernot A. Fink},
  title = {{Query-by-Online Word Spotting Revisited: Using CNNs for Cross-Domain Retrieval}},
  booktitle = {Proc. Int. Conf. on Document Analysis and Recognition},
  address = {Kyoto, Japan},
  note = {to appear},
  year = {2017}
}
@inproceedings{Sudholt2017-EWS,
  author = {Sebastian Sudholt AND Gernot A. Fink},
  title = {{Evaluating Word String Embeddings and Loss Functions for CNN-based Word Spotting}},
  booktitle = {Proc. Int. Conf. on Document Analysis and Recognition},
  address = {Kyoto, Japan},
  note = {to appear},
  year = {2017}
}
@misc{Fink2017-WSF,
  title = {{Word Spotting: From Bag-of-Features to Deep Learning}},
  author = {Gernot A. Fink AND Sebastian Sudholt},
  year = {2017},
  howpublished = {Tutorial presented at
Int. Conf. on Document Analysis and Recognition (ICDAR), Kyoto, Japan},
  nourl = {http://www.icfhr2014.org/selected-tutorials/},
  special = {Supplementary Material:http://patrec.cs.tu-dortmund.de/cms/en/home/Resources/ws_tutorial/index.html}
}
@misc{Fink2017-WSF1,
  title = {{Word Spotting: From Bag-of-Features to Deep Learning}},
  author = {Gernot A. Fink AND Sebastian Sudholt},
  year = {2017},
  howpublished = {Tutorial (invited) presented at
IAPR Summer School on Document Analysis, Jaipur, India},
  nourl = {http://www.icfhr2014.org/selected-tutorials/},
  special = {Supplementary Material:http://patrec.cs.tu-dortmund.de/cms/en/home/Resources/index.html#ws-tutorial}
}
@inproceedings{Sudholt2016-PAD,
  author = {Sebastian Sudholt AND Gernot A. Fink},
  title = {{PHOCNet: A Deep Convolutional Neural Network for Word Spotting in Handwritten Documents}},
  booktitle = {Proc. Int. Conf. on Frontiers in Handwriting Recognition},
  address = {Shenzhen, China},
  year = {2016}
}
@inproceedings{Sudholt2015-AMI,
  author = {Sebastian Sudholt AND Gernot A. Fink},
  title = {{A Modified Isomap Approach to Manifold Learning in Word Spotting}},
  series = {Lecture Notes in Computer Science},
  booktitle = {Proc. 37th German Conference on Pattern Recognition},
  address = {Aachen, Germany},
  year = {2015}
}
@inproceedings{Sudholt2015-LLI,
  author = {Sebastian Sudholt AND Leonard Rothacker AND Gernot A. Fink},
  title = {{Learning Local Image Descriptors for Word Spotting}},
  booktitle = {Proc. Int. Conf. on Document Analysis and Recognition},
  address = {Nancy, France},
  year = {2015}
}
@inproceedings{Sudholt2014-KDE,
  author = {Sebastian Sudholt AND Leonard Rothacker AND Gernot A. Fink},
  title = {{Kernel Density Estimation for Post Recognition Score Analysis}},
  series = {Lecture Notes in Computer Science},
  booktitle = {Proc. 36th German Conference on Pattern Recognition},
  address = {Muenster, Germany},
  year = {2014}
}