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Utilizing dataset affinity prediction in object detection to assess training data., , , , and . CoRR, (2023)Introducing Probabilistic Bézier Curves for N-Step Sequence Prediction., , and . AAAI, page 10162-10169. AAAI Press, (2020)Modeling continuous-time stochastic processes using $N$-Curve mixtures., , and . CoRR, (2019)MissFormer: (In-)Attention-Based Handling of Missing Observations for Trajectory Filtering and Prediction., , , , and . ISVC (1), volume 13017 of Lecture Notes in Computer Science, page 521-533. Springer, (2021)Grundlagen des Maschinellen Lernens., , , , and . Handbuch der Künstlichen Intelligenz, De Gruyter, (2020)Probabilistic Parametric Curves for Sequence Modeling.. Karlsruhe Institute of Technology, Germany, (2022)An RNN-Based IMM Filter Surrogate., , , and . SCIA, volume 11482 of Lecture Notes in Computer Science, page 387-398. Springer, (2019)Tiefe neuronale Netze., , , and . Handbuch der Künstlichen Intelligenz, De Gruyter, (2020)Quantifying the Complexity of Standard Benchmarking Datasets for Long-Term Human Trajectory Prediction., , , and . IEEE Access, (2021)RED: A Simple but Effective Baseline Predictor for the TrajNet Benchmark., , , and . ECCV Workshops (3), volume 11131 of Lecture Notes in Computer Science, page 138-153. Springer, (2018)