Aysim Toker

According to our database, Aysim Toker authored at least 12 papers between 2020 and 2026.

Collaborative distances:

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

2026

Test-Time Scaling with Diffusion Language Models via Reward-Guided Stitching.

Roy Miles, Aysim Toker, Andreea-Maria Oncescu, Songcen Xu, Jiankang Deng, Ismail Elezi

CoRR, February, 2026

A Benchmark for Deep Information Synthesis.

Debjit Paul, Daniel Murphy, Milan Gritta, Ronald Cardenas, Victor Prokhorov, Lena Sophia Bolliger, Aysim Toker, Roy Vaughan Miles, Andreea-Maria Oncescu, Jasivan Alex Sivakumar, Philipp Borchert, Ismail Elezi, Meiru Zhang, Ka Yiu Lee, Guchun Zhang, Jun Wang, Gerasimos Lampouras

CoRR, February, 2026

2025

SATGround: A Spatially-Aware Approach for Visual Grounding in Remote Sensing.

Aysim Toker, Andreea-Maria Oncescu, Roy Miles, Ismail Elezi, Jiankang Deng

CoRR, December, 2025

EcoMapper: Generative Modeling for Climate-Aware Satellite Imagery.

Muhammed Goktepe, Amir Hossein Shamseddin, Erencan Uysal, Javier Muinelo Monteagudo, Lukas Drees, Aysim Toker, Senthold Asseng, Malte von Bloh

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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