Lei Yang
Orcid: 0000-0003-1800-6892Affiliations:
- Tsinghua University, School of Vehicle and Mobility, State Key Laboratory of Automotive Safety and Energy, Beijing, China
- JD.com, Autonomous Driving Research and Development Department, China (2018-2020)
According to our database1,
Lei Yang
authored at least 40 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
IEEE Trans. Intell. Transp. Syst., August, 2025
Breaking Imitation Bottlenecks: Reinforced Diffusion Powers Diverse Trajectory Generation.
CoRR, July, 2025
IEEE Trans. Pattern Anal. Mach. Intell., June, 2025
CoRR, May, 2025
Two Tasks, One Goal: Uniting Motion and Planning for Excellent End To End Autonomous Driving Performance.
CoRR, April, 2025
IEEE Trans. Intell. Veh., January, 2025
IEEE Trans Autom. Sci. Eng., 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
TraF-Align: Trajectory-aware Feature Alignment for Asynchronous Multi-agent Perception.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
IEEE Trans. Intell. Transp. Syst., November, 2024
IEEE Trans. Intell. Transp. Syst., November, 2024
IEEE Trans. Intell. Transp. Syst., November, 2024
GraphAlign++: An Accurate Feature Alignment by Graph Matching for Multi-Modal 3D Object Detection.
IEEE Trans. Circuits Syst. Video Technol., April, 2024
AttentionTrack: Multiple Object Tracking in Traffic Scenarios Using Features Attention.
IEEE Trans. Intell. Transp. Syst., February, 2024
SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-Based 3-D Object Detection.
IEEE Trans. Geosci. Remote. Sens., 2024
CoRR, 2024
ContrastAlign: Toward Robust BEV Feature Alignment via Contrastive Learning for Multi-Modal 3D Object Detection.
CoRR, 2024
CoRR, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking With Camera-LiDAR Fusion.
IEEE Trans. Intell. Transp. Syst., November, 2023
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection.
IEEE Trans. Circuits Syst. Video Technol., November, 2023
IEEE Trans. Intell. Veh., July, 2023
Multi-Modal and Multi-Scale Fusion 3D Object Detection of 4D Radar and LiDAR for Autonomous Driving.
IEEE Trans. Veh. Technol., May, 2023
IEEE Trans. Intell. Veh., February, 2023
Intelligent Amphibious Ground-Aerial Vehicles: State of the Art Technology for Future Transportation.
IEEE Trans. Intell. Veh., January, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
GraphAlign: Enhancing Accurate Feature Alignment by Graph matching for Multi-Modal 3D Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Sensors, 2022
CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking with Camera-LiDAR Fusion.
CoRR, 2022
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection.
CoRR, 2022
2021
CoRR, 2021