Jenny Schmalfuss

According to our database, Jenny Schmalfuss authored at least 16 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, May, 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

PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models.

Jenny Schmalfuss, Nadine Chang, Vibashan VS, Maying Shen, Andrés Bruhn, José M. Álvarez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical Flow.

Erik Scheurer, Jenny Schmalfuss, Alexander Lis, Andrés Bruhn

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Distracting Downpour - Adversarial Weather Attacks for Motion Estimation (Replication Data).

Jenny Schmalfuss, Lukas Mehl, Andrés Bruhn

Dataset, August, 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

Dataset, July, 2023

Blind Image Inpainting with Sparse Directional Filter Dictionaries for Lightweight CNNs.

Jenny Schmalfuss, Erik Scheurer, Heng Zhao, Nikolaos Karantzas, Andrés Bruhn, Demetrio Labate

J. Math. Imaging Vis., April, 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

Dataset, March, 2023

M-FUSE: Multi-frame Fusion for Scene Flow Estimation.

Lukas Mehl, Azin Jahedi, Jenny Schmalfuss, Andrés Bruhn

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Distracting Downpour: Adversarial Weather Attacks for Motion Estimation.

Jenny Schmalfuss, Lukas Mehl, Andrés Bruhn

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Handwriting Inpainting Dataset.

Jenny Schmalfuss, Erik Scheurer, Heng Zhao, Nikolaos Karantzas, Andrés Bruhn, Demetrio Labate

Dataset, June, 2022

Attacking Motion Estimation with Adversarial Snow.

Jenny Schmalfuss, Lukas Mehl, Andrés Bruhn

CoRR, 2022

A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow.

Jenny Schmalfuss, Philipp Scholze, Andrés Bruhn

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Partitioned Coupling vs. Monolithic Block-Preconditioning Approaches for Solving Stokes-Darcy Systems.

Jenny Schmalfuss, Cedric Riethmüller, Mirco Altenbernd, Kilian Weishaupt, Dominik Göddeke

CoRR, 2021

2016

A Bandit Approach for Intelligent IoT Service Composition across Heterogeneous Smart Spaces.

Nirandika Wanigasekara, Jenny Schmalfuss, Darren Carlson, David S. Rosenblum

Proceedings of the 6th International Conference on the Internet of Things, 2016