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Deep Orientation Uncertainty Learning based on a Bingham Loss

, , , , , and . International Conference on Learning Representations, (2020)

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Deep Orientation Uncertainty Learning based on a Bingham Loss, , , , , and . International Conference on Learning Representations, (2020)Weighted Buffered Voronoi Cells for Distributed Semi-Cooperative Behavior., , , and . ICRA, page 5611-5617. IEEE, (2020)Learning to Plan via Deep Optimistic Value Exploration., , , and . L4DC, volume 120 of Proceedings of Machine Learning Research, page 815-825. PMLR, (2020)Stochastic Dynamic Games in Belief Space., , , and . CoRR, (2019)Variational Autoencoder for End-to-End Control of Autonomous Driving with Novelty Detection and Training De-biasing., , , , , and . IROS, page 568-575. IEEE, (2018)Planning and Decision-Making for Autonomous Vehicles., , and . Annu. Rev. Control. Robotics Auton. Syst., (2018)VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles., , , , , , , and . CoRR, (2021)Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure., , , , and . AIES, page 289-295. ACM, (2019)Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models., , , , and . L4DC, volume 168 of Proceedings of Machine Learning Research, page 1006-1019. PMLR, (2022)OptFlow: Fast Optimization-based Scene Flow Estimation without Supervision., , and . WACV, page 3149-3158. IEEE, (2024)