| 2026 | WACV | GHOST: Getting to the Bottom of Hallucinations with A Multi-round Consistency Benchmark. | Vibashan VS, Nadine Chang, Jenny Schmalfuss, Vishal M. Patel, Zhiding Yu, Jos M. lvarez |
| 2025 | CVPR | PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models. | Jenny Schmalfuss, Nadine Chang, Vibashan VS, Maying Shen, Andrs Bruhn, Jos M. lvarez |
| 2025 | ICCV | On the Generalization of Optical Flow: Quantifying Robustness to Dataset Shifts. | Katrin Bauer, Andrs Bruhn, Jenny Schmalfuss |
| 2024 | WACV | Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical Flow. | Erik Scheurer, Jenny Schmalfuss, Alexander Lis, Andrs Bruhn |
| 2023 | CVPR | Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo. | Lukas Mehl, Jenny Schmalfuss, Azin Jahedi, Yaroslava Nalivayko, Andrs Bruhn |
| 2023 | ICCV | Distracting Downpour: Adversarial Weather Attacks for Motion Estimation. | Jenny Schmalfuss, Lukas Mehl, Andrs Bruhn |
| 2023 | WACV | M-FUSE: Multi-frame Fusion for Scene Flow Estimation. | Lukas Mehl, Azin Jahedi, Jenny Schmalfuss, Andrs Bruhn |
| 2022 | ECCV | A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow. | Jenny Schmalfuss, Philipp Scholze, Andrs Bruhn |