Content Disentanglement for Semantically Consistent Synthetic-to-Real Domain Adaptation. - Mert Keser; Artem Savkin; Federico Tombari (IROS, 2021)

Interpretable Model-Agnostic Plausibility Verification for 2D Object Detectors Using Domain-Invariant Concept Bottleneck Models. - Mert Keser; Gesina Schwalbe; Azarm Nowzad; Alois Knoll (CVPR Workshops, 2023)

Real-Time Explainable Plausibility Verification for DNN-based Automotive Perception. - Mert Keser (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2023)

How Could Generative AI Support Compliance with the EU AI Act? A Review for Safe Automated Driving Perception. - Mert Keser; Youssef Shoeb; Alois Knoll (ICVES, 2024)

Unveiling Ontological Commitment in Multi-Modal Foundation Models. - Mert Keser; Gesina Schwalbe; Niki Amini-Naieni; Matthias Rottmann; Alois Knoll (CoRR, 2024)

Benchmarking Vision Foundation Models for Input Monitoring in Autonomous Driving. - Mert Keser; Halil Ibrahim Orhan; Niki Amini-Naieni; Gesina Schwalbe; Alois Knoll; Matthias Rottmann (CoRR, 2025)

On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs. - Gesina Schwalbe; Georgii Mikriukov; Edgar Heinert; Stavros Gerolymatos; Mert Keser; Alois Knoll; Matthias Rottmann; Annika Mütze (CoRR, 2025)