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FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation.

, , , , , , , , and . CVPR, page 1599-1610. IEEE, (2023)

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On the uncertainty of VaR of individual risk., and . J. Comput. Appl. Math., (2020)Probabilistic solutions for a class of deterministic optimal allocation problems., , , and . J. Comput. Appl. Math., (2018)Robust and Pareto optimality of insurance contracts., , , , and . Eur. J. Oper. Res., 262 (2): 720-732 (2017)H2-Convergence of Least-Squares Kernel Collocation Methods., , and . SIAM J. Numer. Anal., 56 (1): 614-633 (2018)Understanding Top-k Sparsification in Distributed Deep Learning., , , and . CoRR, (2019)Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling., , , , , , , , , and 2 other author(s). CoRR, (2024)FlowFormer: A Transformer Architecture for Optical Flow., , , , , , , and . ECCV (17), volume 13677 of Lecture Notes in Computer Science, page 668-685. Springer, (2022)TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses., , , , , , , and . ICCV, page 18481-18490. IEEE, (2023)A 12-gene pharmacogenetic panel to prevent adverse drug reactions: an open-label, multicentre, controlled, cluster-randomised crossover implementation study, , , , , , , , , and 248 other author(s). 401 (10374): 347--356 (2023)An overview of conditional comonotonicity and its applications.. Risk Decis. Anal., 3 (1-2): 67-73 (2012)