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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)A Region-Based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 41 (8): 1797-1812 (2019)MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking., , , , , , , and . Int. J. Comput. Vis., 129 (4): 845-881 (2021)Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation., , , , and . CoRR, (2024)