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Vadim Sushko
Vadim Sushko
PhD student at Bosch Center for Artificial Intelligence
Verified email at de.bosch.com
Title
Cited by
Cited by
Year
You Only Need Adversarial Supervision for Semantic Image Synthesis
V Sushko, E Schönfeld, D Zhang, J Gall, B Schiele, A Khoreva
International Conference on Learning Representations (ICLR) 2021, 2020
472020
One-shot gan: Learning to generate samples from single images and videos
V Sushko, J Gall, A Khoreva
https://arxiv.org/abs/2103.13389, 2596-2600, 2021
202021
Decentralized personalized federated min-max problems
E Borodich, A Beznosikov, A Sadiev, V Sushko, N Savelyev, M Takáč, ...
arXiv e-prints, arXiv: 2106.07289, 2021
52021
Generating Novel Scene Compositions from Single Images and Videos
V Sushko, D Zhang, J Gall, A Khoreva
arXiv preprint arXiv:2103.13389, 2021
22021
Learning to Generate Novel Scene Compositions from Single Images and Videos
V Sushko, J Gall, A Khoreva
Conference on Computer Vision and Pattern Recognition (CVPR) 2021 Workshops, 2021
12021
OASIS: Only Adversarial Supervision for Semantic Image Synthesis
V Sushko, E Schönfeld, D Zhang, J Gall, B Schiele, A Khoreva
International Journal of Computer Vision, 1-21, 2022
2022
One-Shot Synthesis of Images and Segmentation Masks
V Sushko, D Zhang, J Gall, A Khoreva
Winter Conference on Applications of Computer Vision (WACV) 2023, 2022
2022
Device and method for training a machine learning system for generating images
A Khoreva, V Sushko
US Patent App. 17/649,481, 2022
2022
Device and method for training a machine learning system for generating images
A Khoreva, V Sushko
US Patent App. 17/648,889, 2022
2022
3D Noise and Adversarial Supervision Is All You Need for Multi-modal Semantic Image Synthesis
V Sushko, E Schönfeld, D Zhang, J Gall, B Schiele, A Khoreva
European Conference on Computer Vision (ECCV) 2020 Workshops, 2020
2020
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