| """ | |
| File: authors.py | |
| Author: Elena Ryumina and Dmitry Ryumin | |
| Description: About the authors. | |
| License: MIT License | |
| """ | |
| AUTHORS = """ | |
| Authors: [Elena Ryumina](https://github.com/ElenaRyumina), [Dmitry Ryumin](https://github.com/DmitryRyumin), [Denis Dresvyanskiy](https://www.uni-ulm.de/en/nt/staff/research-assistants/dresvyanskiy/), [Maxim Markitantov](https://hci.nw.ru/en/employees/10) and [Alexey Karpov](https://hci.nw.ru/en/employees/1) | |
| Authorship contribution: | |
| App developers: ``Elena Ryumina`` and ``Dmitry Ryumin`` | |
| Methodology developers: ``Elena Ryumina``, ``Denis Dresvyanskiy`` and ``Alexey Karpov`` | |
| Model developer: ``Elena Ryumina`` | |
| TensorFlow to PyTorch model converters: ``Maxim Markitantov`` and ``Elena Ryumina`` | |
| Citation | |
| If you are using EMO-AffectNetModel in your research, please consider to cite research [paper](https://www.sciencedirect.com/science/article/pii/S0925231222012656). Here is an example of BibTeX entry: | |
| <div class="highlight highlight-text-bibtex notranslate position-relative overflow-auto" dir="auto"><pre><span class="pl-k">@article</span>{<span class="pl-en">RYUMINA2022</span>, | |
| <span class="pl-s">title</span> = <span class="pl-s"><span class="pl-pds">{</span>In Search of a Robust Facial Expressions Recognition Model: A Large-Scale Visual Cross-Corpus Study<span class="pl-pds">}</span></span>, | |
| <span class="pl-s">author</span> = <span class="pl-s"><span class="pl-pds">{</span>Elena Ryumina and Denis Dresvyanskiy and Alexey Karpov<span class="pl-pds">}</span></span>, | |
| <span class="pl-s">journal</span> = <span class="pl-s"><span class="pl-pds">{</span>Neurocomputing<span class="pl-pds">}</span></span>, | |
| <span class="pl-s">year</span> = <span class="pl-s"><span class="pl-pds">{</span>2022<span class="pl-pds">}</span></span>, | |
| <span class="pl-s">doi</span> = <span class="pl-s"><span class="pl-pds">{</span>10.1016/j.neucom.2022.10.013<span class="pl-pds">}</span></span>, | |
| <span class="pl-s">url</span> = <span class="pl-s"><span class="pl-pds">{</span>https://www.sciencedirect.com/science/article/pii/S0925231222012656<span class="pl-pds">}</span></span>, | |
| }</div> | |
| """ | |