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Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs.

, , , , , и . CoRL, том 155 из Proceedings of Machine Learning Research, стр. 973-983. PMLR, (2020)

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Marcos Segal

Donoghue Sean

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Другие публикации лиц с тем же именем

Diverse Complexity Measures for Dataset Curation in Self-Driving., , , , , , и . IROS, стр. 8609-8616. IEEE, (2021)Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs., , , , , и . CoRL, том 155 из Proceedings of Machine Learning Research, стр. 973-983. PMLR, (2020)Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes., , , , , , и . CoRR, (2021)End-to-end Contextual Perception and Prediction with Interaction Transformer., , , , , , и . IROS, стр. 5784-5791. IEEE, (2020)LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds., , , , , , , и . CoRL, том 229 из Proceedings of Machine Learning Research, стр. 3364-3383. PMLR, (2023)Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction., , , , , , и . CoRL, том 100 из Proceedings of Machine Learning Research, стр. 407-419. PMLR, (2019)Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes., , , , , , и . CoRL, том 164 из Proceedings of Machine Learning Research, стр. 816-826. PMLR, (2021)