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Xuemeng Yang
Xuemeng Yang
PJLab
在 pjlab.org.cn 的电子邮件经过验证
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引用次数
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年份
Semantic graph based place recognition for 3d point clouds
X Kong, X Yang, G Zhai, X Zhao, X Zeng, M Wang, Y Liu, W Li, F Wen
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
1132020
Rfnet: Recurrent forward network for dense point cloud completion
T Huang, H Zou, J Cui, X Yang, M Wang, X Zhao, J Zhang, Y Yuan, Y Xu, ...
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
392021
On the road with GPT-4V (ision): Early explorations of visual-language model on autonomous driving
L Wen, X Yang, D Fu, X Wang, P Cai, X Li, T Ma, Y Li, L Xu, D Shang, ...
arXiv preprint arXiv:2311.05332, 2023
372023
Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds
X Yang, H Zou, X Kong, T Huang, Y Liu, W Li, F Wen, H Zhang
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
26*2021
Towards Knowledge-driven Autonomous Driving
X Li, Y Bai, P Cai, L Wen, D Fu, B Zhang, X Yang, X Cai, T Ma, J Guo, ...
arXiv preprint arXiv:2312.04316, 2023
112023
DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds
T Ma, X Yang, H Zhou, X Li, B Shi, J Liu, Y Yang, Z Liu, L He, Y Qiao, Y Li, ...
arXiv preprint arXiv:2306.06023, 2023
112023
Up-to-Down Network: Fusing Multi-Scale Context for 3D Semantic Scene Completion
H Zou, X Yang, T Huang, C Zhang, Y Liu, W Li, F Wen, H Zhang
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
92021
Adaptive Recurrent Forward Network for Dense Point Cloud Completion
T Huang, H Zou, J Cui, J Zhang, X Yang, L Li, Y Liu
IEEE Transactions on Multimedia, 2022
72022
Collision-free trajectory planning for autonomous surface vehicle
L Wen, J Yan, X Yang, Y Liu, Y Gu
2020 IEEE/ASME international conference on advanced intelligent mechatronics …, 2020
62020
SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion
J Mei, Y Yang, M Wang, T Huang, X Yang, Y Liu
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
42023
Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together
S Liu, L Wen, J Cui, X Yang, J Cao, Y Liu
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
42021
On the road with gpt-4v (ision): Explorations of utilizing visual-language model as autonomous driving agent
L Wen, X Yang, D Fu, X Wang, P Cai, X Li, MA Tao, Y Li, XU Linran, ...
ICLR 2024 Workshop on Large Language Model (LLM) Agents, 0
4
Learning to train a point cloud reconstruction network without matching
T Huang, X Yang, J Zhang, J Cui, H Zou, J Chen, X Zhao, Y Liu
European Conference on Computer Vision, 179-194, 2022
32022
PocoNet: SLAM-oriented 3D LiDAR Point Cloud Online Compression Network
J Cui, H Zou, X Kong, X Yang, X Zhao, Y Liu, W Li, F Wen, H Zhang
2021 IEEE International Conference on Robotics and Automation (ICRA), 1868-1874, 2021
22021
Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
J Mei, Y Ma, X Yang, L Wen, X Cai, X Li, D Fu, B Zhang, P Cai, M Dou, ...
arXiv preprint arXiv:2405.15324, 2024
2024
OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving
G Yan, J Pi, J Guo, Z Luo, M Dou, N Deng, Q Huang, D Fu, L Wen, P Cai, ...
arXiv preprint arXiv:2402.03830, 2024
2024
Moving forward in formation: A decentralized hierarchical learning approach to multi-agent moving together. In 2021 IEEE
S Liu, L Wen, J Cui, X Yang, J Cao, Y Liu
RSJ International Conference on Intelligent Robots and Systems (IROS), 4777-4784, 0
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