Building a Conference Recommender System Based on SciGraph and WikiCFP. - Andreea Iana; Steffen Jung 001; Philipp Naeser; Aliaksandr Birukou; Sven Hertling; Heiko Paulheim (SEMANTiCS, 2019)

Spectral Distribution Aware Image Generation. - Steffen Jung 001; Margret Keuper (AAAI, 2021)

Optimizing Edge Detection for Image Segmentation with Multicut Penalties. - Steffen Jung 001; Sebastian Ziegler; Amirhossein Kardoost; Margret Keuper (GCPR, 2022)

FrequencyLowCut Pooling - Plug and Play Against Catastrophic Overfitting. - Julia Grabinski; Steffen Jung 001; Janis Keuper; Margret Keuper (ECCV (14), 2022)

Learning Where to Look - Generative NAS is Surprisingly Efficient. - Jovita Lukasik; Steffen Jung 001; Margret Keuper (ECCV (23), 2022)

Learning to Solve Minimum Cost Multicuts Efficiently Using Edge-Weighted Graph Convolutional Neural Networks. - Steffen Jung 001; Margret Keuper (ECML/PKDD (2), 2022)

FrequencyLowCut Pooling - Plug & Play against Catastrophic Overfitting. - Julia Grabinski; Steffen Jung 001; Janis Keuper; Margret Keuper (CoRR, 2022)

Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition. - Katharina Prasse; Steffen Jung 001; Yuxuan Zhou 004; Margret Keuper (DAGM, 2023)

Neural Architecture Design and Robustness: A Dataset. - Steffen Jung 001; Jovita Lukasik; Margret Keuper (ICLR, 2023)

Happy People - Image Synthesis as Black-Box Optimization Problem in the Discrete Latent Space of Deep Generative Models. - Steffen Jung 001; Jan Christian Schwedhelm; Claudia Schillings; Margret Keuper (CoRR, 2023)

CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks. - Shashank Agnihotri; Steffen Jung 001; Margret Keuper (ICML, 2024)

Are Vision Language Models Texture or Shape Biased and Can We Steer Them? - Paul Gavrikov; Jovita Lukasik; Steffen Jung 001; Robert Geirhos; Bianca Lamm; Muhammad Jehanzeb Mirza; Margret Keuper; Janis Keuper (CoRR, 2024)

Can We Talk Models Into Seeing the World Differently? - Paul Gavrikov; Jovita Lukasik; Steffen Jung 001; Robert Geirhos; Muhammad Jehanzeb Mirza; Margret Keuper; Janis Keuper (ICLR, 2025)

FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training. - Tejaswini Medi; Steffen Jung 001; Margret Keuper (WACV, 2025)

Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models. - Mishal Fatima; Steffen Jung 001; Margret Keuper (Trans. Mach. Learn. Res., 2025)

Deep Learning for Climate Action: Computer Vision Analysis of Visual Narratives on X. - Katharina Prasse; Marcel Kleinmann; Inken Adam; Kerstin Beckersjuergen; Andreas Edte; Jona Frroku; Timotheus Gumpp; Steffen Jung 001; Isaac Bravo; Stefanie Walter; Margret Keuper (CoRR, 2025)

TRIX- Trading Adversarial Fairness via Mixed Adversarial Training. - Tejaswini Medi; Steffen Jung 001; Margret Keuper (CoRR, 2025)