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Panoptic Nuscenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking.

, , , , , , и . IEEE Robotics Autom. Lett., 7 (2): 3795-3802 (2022)

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Juana Güldenpfennig

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From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation., , и . Frontiers Robotics AI, (2021)Panoptic Nuscenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking., , , , , , и . IEEE Robotics Autom. Lett., 7 (2): 3795-3802 (2022)Fairness and Bias in Robot Learning., , , , , и . Proc. IEEE, 112 (4): 305-330 (апреля 2024)Panoptic Out-of-Distribution Segmentation., , , , и . CoRR, (2023)Fairness and Bias in Robot Learning., , , , , и . CoRR, (2022)Panoptic-Depth Forecasting., , и . CoRR, (2024)There Is More Than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking With Sound by Distilling Multimodal Knowledge., , и . CVPR, стр. 11612-11621. Computer Vision Foundation / IEEE, (2021)MOPT: Multi-Object Panoptic Tracking., , и . CoRR, (2020)Identification of Relevant Inter-channel EEG Connectivity Patterns: A Kernel-Based Supervised Approach., , , , и . BIH, том 9919 из Lecture Notes in Computer Science, стр. 14-23. (2016)Functional Connectivity Analysis Using the Oddball Auditory Paradigm for Attention Tasks., , , , и . BI, том 11309 из Lecture Notes in Computer Science, стр. 99-108. Springer, (2018)