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A Novel Object Re-Track Framework for 3D Point Clouds

  • Published:2020-10-12 Issue: Volume: Page:
  • ISSN:
  • Container-title:Proceedings of the 28th ACM International Conference on Multimedia
  • language:
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Author:

Feng Tuo1,Jiao Licheng1,Zhu Hao1,Sun Long1

Affiliation:

1. Xidian University, Xi'an city, China

Funder

the Major Research Plan of the National Natural Science Foundation of China

the State Key Program of National Natural Science of China

the National Natural Science Foundation of China

the Program for Cheung Kong Scholars and Innovative Research Team in University

Publisher

ACM

Cited by 10 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. Lighter and Robust: A Rotation-Invariant Transformer for VHR Image Change Detection;IEEE Transactions on Geoscience and Remote Sensing;2024

2. High-Low-Frequency Progressive-Guided Diffusion Model for PAN and MS Classification;IEEE Transactions on Geoscience and Remote Sensing;2024

3. Toward Class-Agnostic Tracking Using Feature Decorrelation in Point Clouds;IEEE Transactions on Image Processing;2024

4. pmBQA: Projection-based Blind Point Cloud Quality Assessment via Multimodal Learning;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

5. A Collaborative Learning Tracking Network for Remote Sensing Videos;IEEE Transactions on Cybernetics;2023-03
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