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RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration

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

Liu Jiuming1,Wang Guangming1,Liu Zhe2,Jiang Chaokang3,Pollefeys Marc4,Wang Hesheng1

Affiliation:

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

2. Shanghai Jiao Tong University,MoE Key Lab of Artificial Intelligence, AI Institute

3. China University of Mining and Technology

4. ETH Zürich

Publisher

IEEE

Cited by 8 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. ERS: Faster LiDAR Point Cloud Registration for Connected Vehicles;2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS);2024-07-23

2. Diffusion Transformer for point cloud registration: digital modeling of cultural heritage;Heritage Science;2024-06-14

3. D3Former: Jointly learning repeatable dense detectors and feature-enhanced descriptors via saliency-guided transformer;Computer Aided Geometric Design;2024-06

4. Fast and Robust Point Cloud Registration with Tree-based Transformer;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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