| 2022 | ICPR | Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic Data. | Christian Bartz, Hendrik Rtz, Jona Otholt, Christoph Meinel, Haojin Yang |
| 2021 | BMVC | One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN. | Christian Bartz, Joseph Bethge, Haojin Yang, Christoph Meinel |
| 2021 | WACV | MeliusNet: An Improved Network Architecture for Binary Neural Networks. | Joseph Bethge, Christian Bartz, Haojin Yang, Ying Chen, Christoph Meinel |
| 2020 | DICTA | Synthetic Data for the Analysis of Archival Documents: Handwriting Determination. | Christian Bartz, Laurenz Seidel, Duy-Hung Nguyen, Joseph Bethge, Haojin Yang, Christoph Meinel |
| 2020 | ICPR | Handwriting Classification for the Analysis of Art-Historical Documents. | Christian Bartz, Hendrik Rtz, Christoph Meinel |
| 2020 | ICPR | Semantic Analysis of Cultural Heritage Data: Aligning Paintings and Descriptions in Art-Historic Collections. | Nitisha Jain, Christian Bartz, Tobias Bredow, Emanuel Metzenthin, Jona Otholt, Ralf Krestel |
| 2018 | AAAI | SEE: Towards Semi-Supervised End-to-End Scene Text Recognition. | Christian Bartz, Haojin Yang, Christoph Meinel |
| 2018 | ACCV | LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks. | Christian Bartz, Haojin Yang, Joseph Bethge, Christoph Meinel |
| 2017 | ICONIP | Language Identification Using Deep Convolutional Recurrent Neural Networks. | Christian Bartz, Tom Herold, Haojin Yang, Christoph Meinel |