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Multi-Agent Tensor Fusion for Contextual Trajectory Prediction.

, , , , , , , и . CVPR, стр. 12126-12134. Computer Vision Foundation / IEEE, (2019)

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Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding., , , , , , , , , и . IEEE Trans. Pattern Anal. Mach. Intell., 44 (12): 9434-9445 (2022)Reasoning About Human-Object Interactions Through Dual Attention Networks., , , , , и . ICCV, стр. 3918-3927. IEEE, (2019)Adversarial Inverse Optimal Control for General Imitation Learning Losses and Embodiment Transfer., , , и . UAI, AUAI Press, (2016)Identifying Interpretable Action Concepts in Deep Networks., , , , , , и . CVPR Workshops, стр. 12-15. Computer Vision Foundation / IEEE, (2019)Model ChangeLists: Characterizing Updates to ML Models., , , , , , и . FAccT, стр. 2432-2453. ACM, (2024)Multi-Agent Tensor Fusion for Contextual Trajectory Prediction., , , , , , , и . CVPR, стр. 12126-12134. Computer Vision Foundation / IEEE, (2019)We Have So Much in Common: Modeling Semantic Relational Set Abstractions in Videos., , , , , , и . ECCV (18), том 12363 из Lecture Notes in Computer Science, стр. 18-34. Springer, (2020)Asynchronous Data Aggregation for Training End to End Visual Control Networks., , , и . AAMAS, стр. 530-537. ACM, (2017)Robust Covariate Shift Regression., , , и . AISTATS, том 51 из JMLR Workshop and Conference Proceedings, стр. 1270-1279. JMLR.org, (2016)Intent Prediction and Trajectory Forecasting via Predictive Inverse Linear-Quadratic Regulation., , и . AAAI, стр. 3672-3678. AAAI Press, (2015)