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Attacking Motion Estimation with Adversarial Snow

, , and . Proc. ECCV Workshop on Adversarial Robustness in the Real World (AROW), (2022)

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Efficient Algorithms for Global Optimisation Methods in Computer Vision (Dagstuhl Seminar 11471)., , and . Dagstuhl Reports, 1 (11): 66-90 (2011)Adaptive Integration of Feature Matches into Variational Optical Flow Methods., , and . ACCV (3), volume 7726 of Lecture Notes in Computer Science, page 1-14. Springer, (2012)Variationsansätze zur Bewegungsschätzung: Präzise Modellierung und Effiziente Numerik.. Ausgezeichnete Informatikdissertationen, volume D-7 of LNI, GI, (2006)Vision for autonomous vehicles and probes, , , and . 5, 11, page 36-61. Wadern, Schloss Dagstuhl, (2015)Visual Quality Assessment for Interpolated Slow-Motion Videos Based on a Novel Database, , , , and . 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX), page 1-6. IEEE, (2020)Subjective annotation for a frame interpolation benchmark using artefact amplification, , , , and . Quality and User Experience, (2020)Article Number: 8.Order-adaptive and Illumination-aware Variational Optical Flow Refinement, , and . Proceedings of the British Machine Vision Conference (BMVC), page 150:1-150:13. BMVA Press, (2017)Structure-from-motion-aware PatchMatch for Adaptive Optical Flow Estimation, , , and . 11212, page 575-592. Springer International Publishing, (2018)Joint trilateral filtering for multiframe optical flow, , and . Proceedings of IEEE International Conference on Image Processing (ICIP 2013), 2013, IEEE Computer Society Press, (2013)Shape from Shading for Rough Surfaces: Analysis of the Oren-Nayar Model, , , and . Proceedings of the British Machine Vision Conference (BMVC), BMVA Press, (2012)