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Detection and Segmentation of Independently Moving Objects from Dense Scene Flow, , , , and . EMMCVPR, 5681, page 14--27. (2009)Statistical and Geometrical Approaches to Visual Motion Analysis, , , , and . chapter An Improve, Berlin, Heidelberg, (2009)Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks., , , , , , and . CoRR, (2018)Informative GANs via Structured Regularization of Optimal Transport., , , and . CoRR, (2019)Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions., , , , , , , , and . CoRR, (2020)Photometric Depth Super-Resolution., , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 42 (10): 2453-2464 (2020)CVPR19 Tracking and Detection Challenge: How crowded can it get?, , , , , , , , and . CoRR, (2019)Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration., , and . ECCV (13), volume 13673 of Lecture Notes in Computer Science, page 555-569. Springer, (2022)TUM-VIE: The TUM Stereo Visual-Inertial Event Dataset., , , and . IROS, page 8601-8608. IEEE, (2021)To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation., , , , , , , , and . ICCV, page 16502-16513. IEEE, (2023)