Aysim Toker

According to our database, Aysim Toker authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

2024

SatSynth: Augmenting Image-Mask Pairs Through Diffusion Models for Aerial Semantic Segmentation.

Aysim Toker, Marvin Eisenberger, Daniel Cremers, Laura Leal-Taixé

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

G-MSM: Unsupervised Multi-Shape Matching with Graph-Based Affinity Priors.

Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Daniel Cremers

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

2022

Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Images.

Lukas Kondmann, Aysim Toker, Sudipan Saha, Bernhard Schölkopf, Laura Leal-Taixé, Xiao Xiang Zhu

IEEE Trans. Geosci. Remote. Sens., 2022

DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation.

Aysim Toker, Lukas Kondmann, Mark Weber, Marvin Eisenberger, Andrés Camero, Jingliang Hu, Ariadna Pregel Hoderlein, Çaglar Senaras, Timothy Davis, Daniel Cremers, Giovanni Marchisio, Xiao Xiang Zhu, Laura Leal-Taixé

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Unified Framework for Implicit Sinkhorn Differentiation.

Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Florian Bernard, Daniel Cremers

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space.

Lukas Kondmann, Aysim Toker, Marc Rußwurm, Andrés Camero, Devis Peressutti, Grega Milcinski, Pierre-Philippe Mathieu, Nicolas Longépé, Timothy Davis, Giovanni Marchisio, Laura Leal-Taixé, Xiaoxiang Zhu

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization.

Aysim Toker, Qunjie Zhou, Maxim Maximov, Laura Leal-Taixé

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

2020

Deep Shells: Unsupervised Shape Correspondence with Optimal Transport.

Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Daniel Cremers

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020