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Learning Scene Flow in 3D Point Clouds

, , и . (2018)cite arxiv:1806.01411.

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Qi Qi

Qi Li

Qi Sun

Qi Xu

Fei Qi

 

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Frustum PointNets for 3D Object Detection From RGB-D Data., , , , и . CVPR, стр. 918-927. Computer Vision Foundation / IEEE Computer Society, (2018)Volumetric and Multi-View CNNs for Object Classification on 3D Data, , , , , и . (2016)cite arxiv:1604.03265.Learning Scene Flow in 3D Point Clouds, , и . (2018)cite arxiv:1806.01411.Teaching digital signal processing with Stanford's Lab-in-a-Box., , , , , , , , и . SP/SPE, стр. 307-312. IEEE, (2015)Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks., , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 2279-2288. PMLR, (2018)Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset., , , , , , , , , и 8 other автор(ы). ICCV, стр. 9690-9699. IEEE, (2021)KPConv: Flexible and Deformable Convolution for Point Clouds., , , , , и . ICCV, стр. 6410-6419. IEEE, (2019)MoST: Multi-modality Scene Tokenization for Motion Prediction., , , , , , , , , и 4 other автор(ы). CoRR, (2024)Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving., , , , , , и . ICCV, стр. 8568-8578. IEEE, (2023)RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding., , , и . CVPR, стр. 17191-17200. IEEE, (2022)