Vadim Sushko

According to our database, Vadim Sushko authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Generating novel scene compositions from single images and videos.

Vadim Sushko, Dan Zhang, Juergen Gall, Anna Khoreva

Comput. Vis. Image Underst., February, 2024

2023

One-Shot Synthesis of Images and Segmentation Masks.

Vadim Sushko, Dan Zhang, Juergen Gall, Anna Khoreva

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Smoothness Similarity Regularization for Few-Shot GAN Adaptation.

Vadim Sushko, Ruyu Wang, Juergen Gall

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Discovering Class-Specific GAN Controls for Semantic Image Synthesis.

Edgar Schönfeld, Julio Borges, Vadim Sushko, Bernt Schiele, Anna Khoreva

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

OASIS: Only Adversarial Supervision for Semantic Image Synthesis.

Vadim Sushko, Edgar Schönfeld, Dan Zhang, Juergen Gall, Bernt Schiele, Anna Khoreva

Int. J. Comput. Vis., 2022

2021

Decentralized Personalized Federated Min-Max Problems.

Aleksandr Beznosikov, Vadim Sushko, Abdurakhmon Sadiev, Alexander V. Gasnikov

CoRR, 2021

Learning to Generate Novel Scene Compositions from Single Images and Videos.

Vadim Sushko, Juergen Gall, Anna Khoreva

CoRR, 2021

You Only Need Adversarial Supervision for Semantic Image Synthesis.

Edgar Schönfeld, Vadim Sushko, Dan Zhang, Juergen Gall, Bernt Schiele, Anna Khoreva

Proceedings of the 9th International Conference on Learning Representations, 2021

One-Shot GAN: Learning To Generate Samples From Single Images and Videos.

Vadim Sushko, Jürgen Gall, Anna Khoreva

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

3D Noise and Adversarial Supervision Is All You Need for Multi-modal Semantic Image Synthesis.

Vadim Sushko, Edgar Schönfeld, Dan Zhang, Jürgen Gall, Bernt Schiele, Anna Khoreva

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020