Stanislav Frolov
Hi, I'm a 4th year Ph.D. student at RPTU Kaiserslautern and
German Research Center for Artificial Intelligence,
advised by Prof. Andreas Dengel.
My main interests are computer vision and machine learning.
I use deep generative models for controlled image synthesis.
In 2021, I interned at Adobe Research
working with Kushal Kafle,
Scott Cohen
and Tobias Hinz on image editing.
In 2022, I interned at Meta AI
working with Prof. Adriana Romero-Soriano,
Michał Drożdżal
and Jakob Verbeek on spherical image generation.
Previously, I've worked at inovex as a data engineer, and
completed my B.Sc. and M.Sc degrees in Electrical Engineering at the
Karlsruhe Institute of Technology.
If you are interested in similar topics, want to chat or collaborate, feel free to contact me.
Email  / 
Google Scholar  / 
LinkedIn  / 
GitHub  / 
Twitter
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Research Internships
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Meta 2022
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Paris
| Remote
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Are Visual Recognition Models Robust to Image Compression?
João Maria Janeiro, Stanislav Frolov, Alaaeldin El-Nouby, Jakob Verbeek
arXiv, 2023
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Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution
Brian Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
arXiv, 2023
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Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances
Brian Moser, Federico Raue, Stanislav Frolov, Jörn Hees, Sebastian Palacio, Andreas Dengel
TPAMI, 2023
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DT2I: Dense Text-to-Image Generation from Region Descriptions
Stanislav Frolov*, Prateek Bansal*, Jörn Hees, Andreas Dengel
ICANN, 2022
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Combining Transformer Generators with Convolutional Discriminators
Ricard Durall*, Stanislav Frolov*, Jörn Hees, Federico Raue, Franz-Josef Pfreundt, Andreas Dengel, Janis Keuper
GCAI, 2021
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AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style
Stanislav Frolov, Avneesh Sharma, Jörn Hees, Tushar Karayil, Federico Raue, Andreas Dengel
GCPR, 2021
code
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Adversarial Text-to-Image Synthesis: A Review
Stanislav Frolov, Tobias Hinz, Federico Raue, Jörn Hees, Andreas Dengel
Neural Networks Journal, 2021
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Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching
Fatemeh Azimi, Stanislav Frolov, Federico Raue, Jörn Hees, Andreas Dengel
VISIGRAPP, 2021
code
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Leveraging Visual Question Answering to Improve Text-to-Image Synthesis
Stanislav Frolov, Shailza Jolly, Jörn Hees, Andreas Dengel
LANTERN workshop at COLING, 2020
slides
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