DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds-Reference-Cited by-同舟云学术

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DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds

Published:2023-10-01 Issue: Volume:32 Page:16855-16864
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Peng Chensheng¹,Wang Guangming¹,Lo Xian Wan¹,Wu Xinrui¹,Xu Chenfeng²,Tomizuka Masayoshi²,Zhan Wei²,Wang Hesheng¹

Affiliation:

1. Shanghai Jiao Tong University,Department of Automation, Key Laboratory of System Control and Information Processing of Ministry of Education

2. University of California,Mechanical Systems Control Laboratory,Berkeley

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377745.pdf?arnumber=10377745

Reference55 articles.

1. Fast High-Dimensional Filtering Using the Permutohedral Lattice

2. Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios?

3. SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

4. Unstructured point cloud semantic labeling using deep segmentation networks;Boulch

5. To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PNAS-MOT: Multi-Modal Object Tracking With Pareto Neural Architecture Search;IEEE Robotics and Automation Letters;2024-05

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