Следене
Vadim Sushko
Vadim Sushko
PhD student at Bosch Center for Artificial Intelligence
Потвърден имейл адрес: de.bosch.com
Заглавие
Позовавания
Позовавания
Година
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
1702020
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
542021
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 130 (12), 2903-2923, 2022
202022
Generating novel scene compositions from single images and videos
V Sushko, D Zhang, J Gall, A Khoreva
Computer Vision and Image Understanding 239, 103888, 2024
82024
Decentralized personalized federated min-max problems
A Beznosikov, V Sushko, A Sadiev, A Gasnikov
arXiv preprint arXiv:2106.07289, 2021
8*2021
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
22022
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
22021
Generative adversarial network for processing and generating images and label maps
A Khoreva, V Sushko, D Zhang
US Patent App. 17/813,468, 2023
12023
Generative Adversarial Networks for Semantic Image Synthesis and Unconditional Synthesis with Limited Data
V Sushko
Universitäts-und Landesbibliothek Bonn, 2024
2024
Generating realistic images from specified semantic maps
A Khoreva, E Schoenfeld, V Sushko
US Patent App. 18/005,222, 2023
2023
Smoothness Similarity Regularization for Few-Shot GAN Adaptation
V Sushko, R Wang, J Gall
International Conference on Computer Vision (ICCV) 2023, 2023
2023
Training method for a generator for generating realistic images
A Khoreva, E Schoenfeld, V Sushko, D Zhang
US Patent App. 17/999,000, 2023
2023
Training a generator for generating realistic images using a semantically segmenting discriminator
A Khoreva, E Schoenfeld, V Sushko, D Zhang
US Patent App. 17/911,987, 2023
2023
Discovering Class-Specific GAN Controls for Semantic Image Synthesis
E Schönfeld, J Borges, V Sushko, B Schiele, A Khoreva
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
2023
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
Smoothness Similarity Regularization for Few-Shot GAN Adaptation Supplementary material
V Sushko, R Wang, J Gall
One-Shot Synthesis of Images and Segmentation Masks Supplementary material
V Sushko, D Zhang, J Gall, A Khoreva
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