I am a PhD candidate in IRMV Lab at Shanghai Jiao Tong University, supervised by Prof. Hesheng Wang. I obtained my B.S. degree in vehicle engineering from the Beijing Institute of Technology in 2020. Prior to this, I completed my bachelor thesis under the guidance of Prof. Oliver Dürr (Konstanz University of Applied Sciences). I received my M.S. degree in Intelligent Vehicle Research Center at the Beijing Institute of Technology in 2023, supervised by Prof. Guangming Xiong and Prof. Xieyuanli Chen (National University of Defense Technology). Besides, I also interned at Haomo AI Technology Co., Ltd. in 2022 and 2023, working on place recognition and occupancy forecasting for autonomous driving. Currently, I am dedicated to exploring cutting-edge technologies related to robotics.
If you think we have opportunities to collaborate on some innovative ideas, please feel free to contact me via junyi.ma@sjtu.edu.cn.
MADiff: Motion-Aware Mamba Diffusion Models for Hand Trajectory Prediction on Egocentric Videos
Junyi Ma#, Xieyuanli Chen#, Wentao Bao, Jingyi Xu, Hesheng Wang*
arXiv preprint arXiv:2409.02638, 2024.
[PDF] [Page]
Diff-IP2D: Diffusion-Based Hand-Object Interaction Prediction on Egocentric Videos
Junyi Ma, Jingyi Xu, Xieyuanli Chen, Hesheng Wang*
arXiv preprint arXiv:2405.04370, 2024.
[PDF] [Code]
OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR-Based Place Recognition
Junyi Ma, Jun Zhang, Jintao Xu, Rui Ai, Weihao Gu, and Xieyuanli Chen*
IEEE Robotics and Automation Letters (RA-L), 2022, and IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.
[PDF] [Code]
SeqOT: A Spatial-Temporal Transformer Network for Place Recognition Using Sequential LiDAR Data
Junyi Ma, Xieyuanli Chen, Jingyi Xu, Guangming Xiong*
IEEE Transactions on Industrial Electronics (TIE), 2022.
[PDF] [Code]
CVTNet: A Cross-View Transformer Network for Place Recognition Using LiDAR Data
Junyi Ma, Guangming Xiong, Jingyi Xu, Xieyuanli Chen*
IEEE Transactions on Industrial Informatics (TII), 2023.
[PDF] [Code]
LCPR: A Multi-Scale Attention-Based LiDAR-Camera Fusion Network for Place Recognition Mentorship
Zijie Zhou, Jingyi Xu, Guangming Xiong, Junyi Ma*
IEEE Robotics and Automation Letters (RA-L), 2023, and presented on IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.
[PDF] [Code]
GSPR: Multimodal Place Recognition Using 3D Gaussian Splatting for Autonomous Driving Equal Contribution
Zhangshuo Qi#, Junyi Ma#, Jingyi Xu, Zijie Zhou, Luqi Cheng, Guangming Xiong*
arXiv preprint arXiv:2410.00299, 2024.
[PDF] [Code]
Explicit Interaction for Fusion-Based Place Recognition
Jingyi Xu, Junyi Ma, Qi Wu, Zijie Zhou, Yue Wang, Xieyuanli Chen, Ling Pei*
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.
[PDF] [Code]
MUC-LOAM: Multi-uncertainty Captured Multi-robot Lidar Odometry and Mapping Framework for Large-scale Environments Supervisor First
Guangming Xiong*, Junyi Ma, Huilong Yu, Jingyi Xu, Jiahui Xu
Unmanned Systems (US).
[PDF] [Code]
Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications
Junyi Ma#, Xieyuanli Chen#, Jiawei Huang, Jingyi Xu, Zhen Luo, Jintao Xu, Weihao Gu, Rui Ai, Hesheng Wang*
IEEE/CVF Conf.~on Computer Vision and Pattern Recognition (CVPR), 2024
[PDF] [Code]
PCPNet: An Efficient and Semantic-Enhanced Transformer Network for Point Cloud Prediction Mentorship
Zhen Luo, Junyi Ma, Zijie Zhou, Guangming Xiong
IEEE Robotics and Automation Letters (RA-L), 2023, and IEEE International Conference on Robotics and Automation (ICRA), 2024.
[PDF] [Code]
Mutual Pose Recognition Based on Multiple Cues in Multi-robot Systems
Junyi Ma, Guangming Xiong*, Jingyi Xu, Jiarui Song, and Dong Sun
Best paper for IEEE International Conference on Unmanned Systems (ICUS), 2021.
[PDF] [Code]
PC-NeRF: Parent-Child Neural Radiance Fields under Partial Sensor Data Loss in Autonomous Driving Environments
Xiuzhong Hu, Guangming Xiong, Zheng Zang, Peng Jia, Yuxuan Han, Junyi Ma*
IEEE Transactions on Intelligent Vehicles (TIV), 2024.
[PDF] [Code]
A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles
Jingyi Xu, Zirui Li, Li Gao, Junyi Ma, Qi Liu, and Yanan Zhao*
IEEE Intelligent Vehicles Symposium (IV), 2022.
[PDF] [Code]
Haomo Dataset
The dataset was collected by a mobile robot built by HAOMO.AI Technology company equipped with a HESAI PandarXT 32-beam LiDAR sensor in urban environments of Beijing.
[Description]
Cues-Poses Dataset
A toy dataset about mapping multiple cues to mutual poses of robots.
[Description]
Cam4DOcc
A Benchmark for Camera-Only 4D Occupancy Forecasting.
[Description]
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