SparScene: Efficient Traffic Scene Representation via Sparse Graph Learning for Large-Scale Trajectory Generation
- DOI
- 10.1109/tpami.2026.3750173
- Published
- 2026
- Container
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tpami.2026.3750173,
title = {SparScene: Efficient Traffic Scene Representation via Sparse Graph Learning for Large-Scale Trajectory Generation},
author = {Xiaoyu Mo and Jintian Ge and Zifan Wang and Chen Lv and Karl H. Johansson},
year = {2026},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
doi = {10.1109/tpami.2026.3750173},
url = {https://doi.org/10.1109/tpami.2026.3750173}
}RIS
TY - JOUR TI - SparScene: Efficient Traffic Scene Representation via Sparse Graph Learning for Large-Scale Trajectory Generation AU - Xiaoyu Mo AU - Jintian Ge AU - Zifan Wang AU - Chen Lv AU - Karl H. Johansson PY - 2026 JO - IEEE Transactions on Pattern Analysis and Machine Intelligence DO - 10.1109/tpami.2026.3750173 UR - https://doi.org/10.1109/tpami.2026.3750173 ER -
APA
Mo, X., Ge, J., Wang, Z., Lv, C., & Johansson, K. H. (2026). SparScene: Efficient Traffic Scene Representation via Sparse Graph Learning for Large-Scale Trajectory Generation. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2026.3750173
Source records
- crossref · retrieved 2026-11-04T20:23:05.495Z