Stanislav Frolov

Hi, I'm a 4th year Ph.D. student at TU 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.

During summer 2021, I interned at Adobe Research working on image editing. Currently, I'm interning at Meta AI working on 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

News

[10/2022] Our new Super-Resolution Survey paper is online.
[08/2022] Started research internship at Meta AI in Paris working on image generation.
[07/2022] Our DT2I paper got accepted to ICANN 2022.

Publications

	Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances Brian Moser, Federico Raue, Stanislav Frolov, Jörn Hees, Sebastian Palacio, Andreas Dengel arXiv, 2022
	DT2I: Dense Text-to-Image Generation from Region Descriptions Stanislav Frolov, Prateek Bansal, Jörn Hees, Andreas Dengel ICANN, 2022
	Combining Transformer Generators with Convolutional Discriminators Ricard Durall, Stanislav Frolov, Jörn Hees, Federico Raue, Franz-Josef Pfreundt, Andreas Dengel, Janis Keuper GCAI, 2021
	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
	Adversarial Text-to-Image Synthesis: A Review Stanislav Frolov, Tobias Hinz, Federico Raue, Jörn Hees, Andreas Dengel Neural Networks Journal, 2021
	Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching Fatemeh Azimi, Stanislav Frolov, Federico Raue, Jörn Hees, Andreas Dengel VISIGRAPP, 2021 code
	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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