| A bandit approach for intelligent IoT service composition across heterogeneous smart spaces N Wanigasekara, J Schmalfuss, D Carlson, DS Rosenblum International Conference on the Internet of Things, 121-129, 2016 | 28 | 2016 |
| Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo L Mehl, J Schmalfuss, A Jahedi, Y Nalivayko, A Bruhn Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 25 | 2023 |
| A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow J Schmalfuss, P Scholze, A Bruhn Oral @ European Conference on Computer Vision (ECCV), 183-200, 2022 | 13 | 2022 |
| M-FUSE: Multi-frame Fusion for Scene Flow Estimation L Mehl, A Jahedi, J Schmalfuss, A Bruhn Winter Conference on Applications of Computer Vision (WACV), 2020-2029, 2023 | 10 | 2023 |
| Partitioned Coupling vs. Monolithic Block-Preconditioning Approaches for Solving Stokes-Darcy Systems J Schmalfuss, C Riethmüller, M Altenbernd, K Weishaupt, D Göddeke International Conference on Computational Methods for Coupled Problems in …, 2021 | 6 | 2021 |
| Distracting Downpour: Adversarial Weather Attacks for Motion Estimation J Schmalfuss, L Mehl, A Bruhn International Conference on Computer Vision (ICCV), 10106-10116, 2023 | 5 | 2023 |
| Blind Image Inpainting with Sparse Directional Filter Dictionaries for Lightweight CNNs J Schmalfuss, E Scheurer, H Zhao, N Karantzas, A Bruhn, D Labate Journal of Mathematical Imaging and Vision (JMIV) 65, 323–339, 2023 | 4 | 2023 |
| Attacking Motion Estimation with Adversarial Snow J Schmalfuss, L Mehl, A Bruhn Best Paper Award @ Workshop on Adversarial Robustness in the Real World …, 2022 | 3 | 2022 |
| Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical Flow E Scheurer, J Schmalfuss, A Lis, A Bruhn Winter Conference on Applications of Computer Vision (WACV), 2023 | 2 | 2023 |
Andres BruhnProfessor of Computer Science, University of Stuttgart, Germany在 vis.uni-stuttgart.de 的电子邮件经过验证
