| 2020 | SAFECOMP | Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks. | Oliver Willers, Sebastian Sudholt, Shervin Raafatnia, Stephanie Abrecht |
| 2018 | DAS | Learning Deep Representations for Word Spotting under Weak Supervision. | Neha Gurjar, Sebastian Sudholt, Gernot A. Fink |
| 2017 | ICDAR | Word Hypotheses for Segmentation-Free Word Spotting in Historic Document Images. | Leonard Rothacker, Sebastian Sudholt, Eugen Rusakov, Matthias Kasperidus, Gernot A. Fink |
| 2017 | ICDAR | Evaluating Word String Embeddings and Loss Functions for CNN-Based Word Spotting. | Sebastian Sudholt, Gernot A. Fink |
| 2017 | ICDAR | Query-by-Online Word Spotting Revisited: Using CNNs for Cross-Domain Retrieval. | Sebastian Sudholt, Leonard Rothacker, Gernot A. Fink |
| 2017 | ICIP | Optimistic and pessimistic neural networks for object recognition. | Rene Grzeszick, Sebastian Sudholt, Gernot A. Fink |
| 2016 | ICFHR | PHOCNet: A Deep Convolutional Neural Network for Word Spotting in Handwritten Documents. | Sebastian Sudholt, Gernot A. Fink |
| 2016 | SSPR | Handwritten Word Image Categorization with Convolutional Neural Networks and Spatial Pyramid Pooling. | Juan Ignacio Toledo, Sebastian Sudholt, Alicia Forns, Jordi Cucurull, Gernot A. Fink, Josep Llads |
| 2015 | ICDAR | Learning local image descriptors for word spotting. | Sebastian Sudholt, Leonard Rothacker, Gernot A. Fink |