Social-SSL: Self-supervised Cross-Sequence Representation Learning Based on Transformers for Multi-agent Trajectory Prediction

Author:

Tsao Li-Wu,Wang Yan-Kai,Lin Hao-Siang,Shuai Hong-Han,Wong Lai-Kuan,Cheng Wen-Huang

Publisher

Springer Nature Switzerland

Reference44 articles.

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2. Amirian, J., et al.: Social ways: learning multi-modal distributions of pedestrian trajectories with GANs. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 2964–2972 (2019)

3. Choi, C., Choi, J.H., Li, J., Malla, S.: Shared cross-modal trajectory prediction for autonomous driving. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 244–253 (2021)

4. Devlin, J., et al.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), Volume 1 (Long and Short Papers), pp. 4171–4186 (2019)

5. Dong, L., et al.: Unified language model pre-training for natural language understanding and generation. In: Proceedings of the 33rd International Conference on Neural Information Processing Systems (NeurIPS), pp. 13063–13075 (2019)

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