docs: include citation information

CITATION.cff

@@ -0,0 +1,51 @@
+cff-version: 1.2.0
+message: If you use this software, please cite it as below.
+repository-code: "https://github.com/jungomi/character-queries"
+title: "Character Queries: A Transformer-Based Approach to On-line Handwritten Character Segmentation"
+authors:
+  - given-names: Michael
+    family-names: Jungo
+    email: michael.jungo@hefr.ch
+  - given-names: Beat
+    family-names: Wolf
+    email: beat.wolf@hefr.ch
+  - given-names: Andrii
+    family-names: Maksai
+    email: amaksai@google.com
+  - given-names: Claudiu
+    family-names: Musat
+    email: cmusat@google.com
+  - given-names: Andreas
+    family-names: Fischer
+    email: andreas.fischer@hefr.ch
+preferred-citation:
+  type: conference-paper
+  title: "Character Queries: A Transformer-Based Approach to On-line Handwritten Character Segmentation"
+  authors:
+    - given-names: Michael
+      family-names: Jungo
+      email: michael.jungo@hefr.ch
+    - given-names: Beat
+      family-names: Wolf
+      email: beat.wolf@hefr.ch
+    - given-names: Andrii
+      family-names: Maksai
+      email: amaksai@google.com
+    - given-names: Claudiu
+      family-names: Musat
+      email: cmusat@google.com
+    - given-names: Andreas
+      family-names: Fischer
+      email: andreas.fischer@hefr.ch
+  doi: 10.1007/978-3-031-41676-7_6
+  volume-title: Document Analysis and Recognition - ICDAR 2023
+  year: 2023
+  publisher:
+    name: Springer Nature Switzerland
+  pages: 98--114
+  isbn: 978-3-031-41676-7
+  keywords:
+    - On-Line Handwriting
+    - Digital Ink
+    - Character Segmentation
+    - Transformer

README.md

@@ -19,6 +19,7 @@
   * [Pre-Commit Hooks](#pre-commit-hooks)
   * [Debugger](#debugger)
 * [License](#license)
+* [Citation](#citation)
 
 <!-- vim-markdown-toc -->
 
@@ -344,6 +345,23 @@ Should your editor not support DAP (e.g. PyCharm doesn't and probably won't ever
 The code and models are released under the [MIT License](LICENSE.md) and the ground truth annotation data is licensed
 under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
 
+## Citation
+
+If you find our work helpful for your research, please consider citing the following BibTeX entry.
+
+```bibtex
+@inproceedings{jungo2023characterqueries,
+  author={Jungo, Michael and Wolf, Beat and Maksai, Andrii and Musat, Claudiu and Fischer, Andreas},
+  title={Character Queries: A Transformer-Based Approach to On-line Handwritten Character Segmentation},
+  booktitle={Document Analysis and Recognition - ICDAR 2023},
+  editor={Fink, Gernot A. and Jain, Rajiv and Kise, Koichi and Zanibbi, Richard},
+  year={2023},
+  publisher={Springer Nature Switzerland},
+  pages={98--114},
+  isbn={978-3-031-41676-7}
+}
+```
+
 [dap]: https://microsoft.github.io/debug-adapter-protocol/
 [gt]: https://drive.switch.ch/index.php/s/qAfBtb1P05heJWZ
 [iam-gt-test-f]: https://drive.switch.ch/index.php/s/4fx1EY4fqEdJbss/download