Stanislav Frolov

Hi, I'm a 3rd year Ph.D. student at TU Kaiserslautern and German Research Center for Artificial Intelligence, advised by Prof. Andreas Dengel. During summer 2021, I interned at Adobe Research working with Kushal Kafle on image editing.

My main interests are computer vision and machine learning. I use deep generative models for controllable image synthesis and representation learning.

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.

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I'm interested in image synthesis, and particularly, controlled image synthesis. There are multiple ways to gain control over the image generation process such as conditioning or learning disentangled representations. I'm also interested in automatic evaluation techniques for vision & language systems which is a challenging problem.

If you are interested in similar topics, want to chat or collaborate, feel free to contact me.

DT2I: Dense Text-to-Image Generation from Region Descriptions
Stanislav Frolov*, Prateek Bansal*, Jörn Hees, Andreas Dengel
arXiv, 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
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
Leveraging Visual Question Answering to Improve Text-to-Image Synthesis
Stanislav Frolov, Shailza Jolly, Jörn Hees, Andreas Dengel
LANTERN workshop at COLING, 2020

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