3 papers
cs.CV2026
SCAM: A Real-World Typographic Robustness Evaluation for Multimodal Foundation Models
Justus Westerhoff, Erblina Purelku, Jakob Hackstein +4
Typographic attacks exploit the interplay between text and visual content in multimodal foundation models, causing misclassifications when misleading text is embedded within images…
cs.LG2025
Imbalanced Classification through the Lens of Spurious Correlations
Jakob Hackstein, Sidney Bender
Class imbalance poses a fundamental challenge in machine learning, frequently leading to unreliable classification performance. While prior methods focus on data- or loss-reweighti…
eess.IV2024
Exploring Masked Autoencoders for Sensor-Agnostic Image Retrieval in Remote Sensing
Jakob Hackstein, Gencer Sumbul, Kai Norman Clasen +1
Self-supervised learning through masked autoencoders (MAEs) has recently attracted great attention for remote sensing (RS) image representation learning, and thus embodies a signif…