A Bandit Approach for Intelligent IoT Service Composition across Heterogeneous Smart Spaces. - Nirandika Wanigasekara; Jenny Schmalfuss; Darren Carlson; David S. Rosenblum (IOT, 2016)

Partitioned Coupling vs. Monolithic Block-Preconditioning Approaches for Solving Stokes-Darcy Systems. - Jenny Schmalfuss; Cedric Riethmüller; Mirco Altenbernd; Kilian Weishaupt; Dominik Göddeke (CoRR, 2021)

A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow. - Jenny Schmalfuss; Philipp Scholze; Andrés Bruhn (ECCV (22), 2022)

Attacking Motion Estimation with Adversarial Snow. - Jenny Schmalfuss; Lukas Mehl; Andrés Bruhn (CoRR, 2022)

Handwriting Inpainting Dataset. - Jenny Schmalfuss; Erik Scheurer; Heng Zhao 003; Nikolaos Karantzas; Andrés Bruhn; Demetrio Labate (DaRUS, 2022)

Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo. - Lukas Mehl; Jenny Schmalfuss; Azin Jahedi; Yaroslava Nalivayko; Andrés Bruhn (CVPR, 2023)

Distracting Downpour: Adversarial Weather Attacks for Motion Estimation. - Jenny Schmalfuss; Lukas Mehl; Andrés Bruhn (ICCV, 2023)

M-FUSE: Multi-frame Fusion for Scene Flow Estimation. - Lukas Mehl; Azin Jahedi; Jenny Schmalfuss; Andrés Bruhn (WACV, 2023)

Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo. - Lukas Mehl; Jenny Schmalfuss; Azin Jahedi; Yaroslava Nalivayko; Andrés Bruhn (DaRUS, 2023)

Blind Image Inpainting with Sparse Directional Filter Dictionaries for Lightweight CNNs. - Jenny Schmalfuss; Erik Scheurer; Heng Zhao 003; Nikolaos Karantzas; Andrés Bruhn; Demetrio Labate (J. Math. Imaging Vis., 2023)

Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo. - Lukas Mehl; Jenny Schmalfuss; Azin Jahedi; Yaroslava Nalivayko; Andrés Bruhn (DaRUS, 2023)

Distracting Downpour - Adversarial Weather Attacks for Motion Estimation (Replication Data). - Jenny Schmalfuss; Lukas Mehl; Andrés Bruhn (DaRUS, 2023)

Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical Flow. - Erik Scheurer; Jenny Schmalfuss; Alexander Lis; Andrés Bruhn (WACV, 2024)

PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models. - Jenny Schmalfuss; Nadine Chang; Vibashan VS; Maying Shen; Andrés Bruhn; José M. Álvarez 004 (CVPR, 2025)

FlowBench: Benchmarking Optical Flow Estimation Methods for Reliability and Generalization. - Shashank Agnihotri; Julian Yuya Caspary; Luca Schwarz; Xinyan Gao; Jenny Schmalfuss; Andrés Bruhn; Margret Keuper (Trans. Mach. Learn. Res., 2025)

RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo. - Jenny Schmalfuss; Victor Oei; Lukas Mehl; Madlen Bartsch; Shashank Agnihotri; Margret Keuper; Andrés Bruhn (CoRR, 2025)