@article{mei2024dreamforge,title={DreamForge: Motion-Aware Autoregressive Video Generation for Multi-View Driving Scenes},author={Mei, Jianbiao and Yang, Xuemeng and Wen, Licheng and Hu, Tao and Yang, Yu and Ma, Yukai and Wei, Tiantian and Dou, Min and Shi, Botian and Liu, Yong},journal={arXiv preprint arXiv:2409.04003},year={2024},}
RA-L
LiCROcc: Teach Radar for Accurate Semantic Occupancy Prediction using LiDAR and Camera
Yukai Ma, Jianbiao Mei, Xuemeng Yang, and 6 more authors
@article{ma2024licrocc,title={LiCROcc: Teach Radar for Accurate Semantic Occupancy Prediction using LiDAR and Camera},author={Ma, Yukai and Mei, Jianbiao and Yang, Xuemeng and Wen, Licheng and Xu, Weihua and Zhang, Jiangning and Zuo, Xingxing and Shi, Botian and Liu, Yong},journal={IEEE Robotics and Automation Letters},year={2024},}
Preprint
DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving
Xuemeng Yang*, Licheng Wen*, Yukai Ma*, and 11 more authors
@article{yang2024drivearena,title={DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving},author={Yang*, Xuemeng and Wen*, Licheng and Ma*, Yukai and Mei*, Jianbiao and Li*, Xin and Wei*, Tiantian and Lei, Wenjie and Fu, Daocheng and Cai, Pinlong and Dou, Min and Shi, Botian and He, Liang and Liu, Yong and Qiao, Yu},journal={arXiv preprint arXiv:2408.00415},year={2024},}
NeurIPS
ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving
Tao Ma, Hongbin Zhou, Qiusheng Huang, and 7 more authors
@article{ma2024zopp,title={ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving},author={Ma, Tao and Zhou, Hongbin and Huang, Qiusheng and Yang, Xuemeng and Guo, Jianfei and Zhang, Bo and Dou, Min and Qiao, Yu and Shi, Botian and Li, Hongsheng},journal={arXiv preprint arXiv:2411.05311},year={2024},}
NeurIPS
Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
Jianbiao Mei*, Yukai Ma*, Xuemeng Yang, and 8 more authors
@article{mei2024continuously,title={Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving},author={Mei*, Jianbiao and Ma*, Yukai and Yang, Xuemeng and Wen, Licheng and Cai, Xinyu and Li, Xin and Fu, Daocheng and Zhang, Bo and Cai, Pinlong and Dou, Min and others},journal={arXiv preprint arXiv:2405.15324},year={2024},}
ICLR Workshop
On the Road with GPT-4V (ision): Explorations of Utilizing Visual-Language Model as Autonomous Driving Agent
Licheng Wen*, Xuemeng Yang*, Daocheng Fu*, and 8 more authors
In ICLR 2024 Workshop on Large Language Model (LLM) Agents, 2024
@inproceedings{wen2024road,title={On the Road with GPT-4V (ision): Explorations of Utilizing Visual-Language Model as Autonomous Driving Agent},author={Wen*, Licheng and Yang*, Xuemeng and Fu*, Daocheng and Wang*, Xiaofeng and Cai, Pinlong and Li, Xin and Tao, MA and Li, Yingxuan and Linran, XU and Shang, Dengke and others},booktitle={ICLR 2024 Workshop on Large Language Model (LLM) Agents},year={2024},}
@article{li2023towards,title={Towards knowledge-driven autonomous driving},author={Li, Xin and Bai, Yeqi and Cai, Pinlong and Wen, Licheng and Fu, Daocheng and Zhang, Bo and Yang, Xuemeng and Cai, Xinyu and Ma, Tao and Guo, Jianfei and others},journal={arXiv preprint arXiv:2312.04316},year={2023},}
ICCV
DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds
Tao Ma, Xuemeng Yang, Hongbin Zhou, and 8 more authors
@article{ma2023detzero,title={DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds},author={Ma, Tao and Yang, Xuemeng and Zhou, Hongbin and Li, Xin and Shi, Botian and Liu, Junjie and Yang, Yuchen and Liu, Zhizheng and He, Liang and Qiao, Yu and others},journal={arXiv preprint arXiv:2306.06023},year={2023},}
IROS
SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion
Jianbiao Mei, Yu Yang, Mengmeng Wang, and 3 more authors
@article{mei2023ssc,title={SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion},author={Mei, Jianbiao and Yang, Yu and Wang, Mengmeng and Huang, Tianxin and Yang, Xuemeng and Liu, Yong},journal={arXiv preprint arXiv:2306.15349},year={2023}}
2022
ECCV
Learning to train a point cloud reconstruction network without matching
Tianxin Huang, Xuemeng Yang, Jiangning Zhang, and 5 more authors
@inproceedings{huang2022learning,title={Learning to train a point cloud reconstruction network without matching},author={Huang, Tianxin and Yang, Xuemeng and Zhang, Jiangning and Cui, Jinhao and Zou, Hao and Chen, Jun and Zhao, Xiangrui and Liu, Yong},booktitle={European Conference on Computer Vision},pages={179--194},year={2022},organization={Springer},}
TMM
Adaptive Recurrent Forward Network for Dense Point Cloud Completion
Tianxin Huang, Hao Zou, Jinhao Cui, and 4 more authors
@article{huang2022adaptive,title={Adaptive Recurrent Forward Network for Dense Point Cloud Completion},author={Huang, Tianxin and Zou, Hao and Cui, Jinhao and Zhang, Jiangning and Yang, Xuemeng and Li, Lin and Liu, Yong},journal={IEEE Transactions on Multimedia},year={2022},publisher={IEEE},}
2021
IROS
Semantic segmentation-assisted scene completion for lidar point clouds
Xuemeng Yang, Hao Zou, Xin Kong, and 5 more authors
In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
@inproceedings{yang2021semantic,title={Semantic segmentation-assisted scene completion for lidar point clouds},author={Yang, Xuemeng and Zou, Hao and Kong, Xin and Huang, Tianxin and Liu, Yong and Li, Wanlong and Wen, Feng and Zhang, Hongbo},booktitle={2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},pages={3555--3562},year={2021},organization={IEEE},}
IROS
Up-to-Down Network: Fusing Multi-Scale Context for 3D Semantic Scene Completion
Hao Zou, Xuemeng Yang, Tianxin Huang, and 5 more authors
In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
@inproceedings{zou2021up,title={Up-to-Down Network: Fusing Multi-Scale Context for 3D Semantic Scene Completion},author={Zou, Hao and Yang, Xuemeng and Huang, Tianxin and Zhang, Chujuan and Liu, Yong and Li, Wanlong and Wen, Feng and Zhang, Hongbo},booktitle={2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},pages={16--23},year={2021},organization={IEEE},}
ICCV
Rfnet: Recurrent forward network for dense point cloud completion
Tianxin Huang, Hao Zou, Jinhao Cui, and 7 more authors
In Proceedings of the IEEE/CVF international conference on computer vision, 2021
@inproceedings{huang2021rfnet,title={Rfnet: Recurrent forward network for dense point cloud completion},author={Huang, Tianxin and Zou, Hao and Cui, Jinhao and Yang, Xuemeng and Wang, Mengmeng and Zhao, Xiangrui and Zhang, Jiangning and Yuan, Yi and Xu, Yifan and Liu, Yong},booktitle={Proceedings of the IEEE/CVF international conference on computer vision},pages={12508--12517},year={2021},}
2020
IROS
Semantic graph based place recognition for 3d point clouds
Xin Kong, Xuemeng Yang, Guangyao Zhai, and 6 more authors
In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
@inproceedings{kong2020semantic,title={Semantic graph based place recognition for 3d point clouds},author={Kong, Xin and Yang, Xuemeng and Zhai, Guangyao and Zhao, Xiangrui and Zeng, Xianfang and Wang, Mengmeng and Liu, Yong and Li, Wanlong and Wen, Feng},booktitle={2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},pages={8216--8223},year={2020},organization={IEEE},}