1 code implementation • 27 Feb 2023 • Mengmeng Liu, Hao Cheng, Lin Chen, Hellward Broszio, Jiangtao Li, Runjiang Zhao, Monika Sester, Michael Ying Yang
Trajectory prediction for autonomous driving must continuously reason the motion stochasticity of road agents and comply with scene constraints.
1 code implementation • 16 Sep 2022 • Hao Cheng, Mengmeng Liu, Lin Chen, Hellward Broszio, Monika Sester, Michael Ying Yang
This paper proposes an attention-based graph model, named GATraj, which achieves a good balance of prediction accuracy and inference speed.
1 code implementation • 26 Feb 2022 • Pengxiang Yan, Ziyi Wu, Mengmeng Liu, Kun Zeng, Liang Lin, Guanbin Li
To relieve the burden of labor-intensive labeling, deep unsupervised SOD methods have been proposed to exploit noisy labels generated by handcrafted saliency methods.
3 code implementations • MM '22: Proceedings of the 30th ACM International Conference on Multimedia 2022 • Mengmeng Liu, Zhi Ma, Tao Li, Yanfeng Jiang, Kai Wang
In addition, we propose a network named M2Net, which integrates multi-modality features from the RGB images, contour images and human parsing images.
1 code implementation • 29 Sep 2021 • Lingbo Liu, Mengmeng Liu, Guanbin Li, Ziyi Wu, Junfan Lin, Liang Lin
Furthermore, we take the road network feature as a query to capture the long-range spatial distribution of traffic flow with a transformer architecture.
no code implementations • 9 Aug 2023 • Hao Cheng, Mengmeng Liu, Lin Chen
Perception that involves multi-object detection and tracking, and trajectory prediction are two major tasks of autonomous driving.