ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation-Reference-Cited by-同舟云学术

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ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation

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:

Aydemir Görkay¹,Akan Adil Kaan¹,Güney Fatma¹

Affiliation:

1. KUIS AI Center

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10378045.pdf?arnumber=10378045

Reference53 articles.

1. Social LSTM: Human Trajectory Prediction in Crowded Spaces

2. Prank: motion prediction based on ranking;Biktairov;Advances in Neural Information Processing Systems (NeurIPS),2020

3. Plop: Probabilistic polynomial objects trajectory prediction for autonomous driving;Buhet

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2. ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

3. Hi-SCL: Fighting long-tailed challenges in trajectory prediction with hierarchical wave-semantic contrastive learning;Transportation Research Part C: Emerging Technologies;2024-08

4. Learning a Memory-Enhanced Multi-Stage Goal-Driven Network for Egocentric Trajectory Prediction;Biomimetics;2024-07-31

5. HSTR: Hierarchical Scene Transformer for Multi-agent Trajectory Prediction*;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

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