A Critical Perceptual Pre-trained Model for Complex Trajectory Recovery-Reference-Cited by-同舟云学术

A Critical Perceptual Pre-trained Model for Complex Trajectory Recovery

Published:2023-11-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data
language:
Short-container-title:

Author:

Li Dedong¹^ORCID,Li Ziyue²^ORCID,Li Zhishuai¹^ORCID,Bai Lei³^ORCID,Gong Qingyuan⁴^ORCID,Sun Lijun⁵^ORCID,Ketter Wolfgang²^ORCID,Zhao Rui¹^ORCID

Affiliation:

1. SenseTime Research, Shanghai, China

2. University of Cologne, Cologne, Germany

3. Shanghai AI Laboratory, Shanghai, China

4. Fudan University, Shanghai, China

5. McGill University, Montreal, Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3615890.3628527

Reference42 articles.

1. Spatial networks

2. TrajVAE: A Variational AutoEncoder model for trajectory generation

3. Robust Road Network Representation Learning

4. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2018 . Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018).

5. Li Dong , Nan Yang , Wenhui Wang , Furu Wei , Xiaodong Liu , Yu Wang , Jianfeng Gao , Ming Zhou , and Hsiao-Wuen Hon . 2019. Unified language model pre-training for natural language understanding and generation. Advances in Neural Information Processing Systems 32 ( 2019 ). Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, and Hsiao-Wuen Hon. 2019. Unified language model pre-training for natural language understanding and generation. Advances in Neural Information Processing Systems 32 (2019).

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. TrajRecovery: An Efficient Vehicle Trajectory Recovery Framework based on Urban-Scale Traffic Camera Records;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24