Steffen Jung

Orcid: 0000-0001-8021-791X

Affiliations:
  • Max Planck Institute for Informatics, Saarbrücken, Germany
  • University of Mannheim, Data and Web Science Group, Germany


According to our database1, Steffen Jung authored at least 17 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
TRIX- Trading Adversarial Fairness via Mixed Adversarial Training.
CoRR, July, 2025

Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models.
CoRR, May, 2025

Deep Learning for Climate Action: Computer Vision Analysis of Visual Narratives on X.
CoRR, March, 2025

FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Can We Talk Models Into Seeing the World Differently?
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Are Vision Language Models Texture or Shape Biased and Can We Steer Them?
CoRR, 2024

CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Happy People - Image Synthesis as Black-Box Optimization Problem in the Discrete Latent Space of Deep Generative Models.
CoRR, 2023

Neural Architecture Design and Robustness: A Dataset.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition.
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022
FrequencyLowCut Pooling - Plug & Play against Catastrophic Overfitting.
CoRR, 2022

Learning to Solve Minimum Cost Multicuts Efficiently Using Edge-Weighted Graph Convolutional Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Learning Where to Look - Generative NAS is Surprisingly Efficient.
Proceedings of the Computer Vision - ECCV 2022, 2022

FrequencyLowCut Pooling - Plug and Play Against Catastrophic Overfitting.
Proceedings of the Computer Vision - ECCV 2022, 2022

Optimizing Edge Detection for Image Segmentation with Multicut Penalties.
Proceedings of the Pattern Recognition, 2022

2021
Spectral Distribution Aware Image Generation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019
Building a Conference Recommender System Based on SciGraph and WikiCFP.
Proceedings of the Semantic Systems. The Power of AI and Knowledge Graphs, 2019


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