| 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 | 209 | 2020 |
| 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 | 73 | 2021 |
| 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 | 37 | 2022 |
| 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 | 15 | 2024 |
| Decentralized personalized federated min-max problems E Borodich, A Beznosikov, A Sadiev, V Sushko, N Savelyev, M Takác, ... arXiv preprint arXiv:2106.07289, 2021 | 12 | 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 | 7 | 2022 |
| Smoothness Similarity Regularization for Few-Shot GAN Adaptation V Sushko, R Wang, J Gall International Conference on Computer Vision (ICCV) 2023, 2023 | 4 | 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 | 3 | 2023 |
| 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 | 3 | 2021 |
| Generative adversarial network for processing and generating images and label maps A Khoreva, V Sushko, D Zhang US Patent App. 17/813,468, 2023 | 1 | 2023 |
| Device and method for training a machine learning system for generating images A Khoreva, V Sushko US Patent App. 17/649,481, 2022 | 1 | 2022 |
| Decentralized personalized federated learning for min-max problems E Borodich, A Beznosikov, A Sadiev, V Sushko, N Savelyev, M Takáč, ... arXiv preprint arXiv:2106.07289, 2021 | 1 | 2021 |
| 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 |
| 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 |
| 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 | | |
Anna KhorevaHead of Applied Science at ZalandoПодтвержден адрес электронной почты в домене zalando.de
