Lei Yang

Orcid: 0000-0003-1800-6892

Affiliations:

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 24 papers between 2021 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

GraphAlign++: An Accurate Feature Alignment by Graph Matching for Multi-Modal 3D Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., April, 2024

AttentionTrack: Multiple Object Tracking in Traffic Scenarios Using Features Attention.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., February, 2024

SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-Based 3-D Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

ContrastAlign: Toward Robust BEV Feature Alignment via Contrastive Learning for Multi-Modal 3D Object Detection.

[BibT_eX]

[DOI]

CoRR, 2024

GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection.

[BibT_eX]

[DOI]

CoRR, 2024

Robustness-Aware 3D Object Detection in Autonomous Driving: A Review and Outlook.

[BibT_eX]

[DOI]

CoRR, 2024

RoboFusion: Towards Robust Multi-Modal 3D obiect Detection via SAM.

[BibT_eX]

[DOI]

CoRR, 2024

RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking With Camera-LiDAR Fusion.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., November, 2023

Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., November, 2023

Multi-Modal 3D Object Detection in Autonomous Driving: A Survey and Taxonomy.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Veh., July, 2023

Multi-Modal and Multi-Scale Fusion 3D Object Detection of 4D Radar and LiDAR for Autonomous Driving.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., May, 2023

Global Perception-Based Robust Parking Space Detection Using a Low-Cost Camera.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Veh., February, 2023

Intelligent Amphibious Ground-Aerial Vehicles: State of the Art Technology for Future Transportation.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Veh., January, 2023

Lite-FPN for keypoint-based monocular 3D object detection.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

Fuzzy-NMS: Improving 3D Object Detection with Fuzzy Classification in NMS.

[BibT_eX]

[DOI]

CoRR, 2023

FMRT: Learning Accurate Feature Matching with Reconciliatory Transformer.

[BibT_eX]

[DOI]

CoRR, 2023

Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2023

GraphAlign: Enhancing Accurate Feature Alignment by Graph matching for Multi-Modal 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking with Camera-LiDAR Fusion.

[BibT_eX]

[DOI]

CoRR, 2022

Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection.

[BibT_eX]

[DOI]

CoRR, 2022

2021

IPS300+: a Challenging Multimodal Dataset for Intersection Perception System.

[BibT_eX]

[DOI]

CoRR, 2021

Lite-FPN for Keypoint-based Monocular 3D Object Detection.

[BibT_eX]

[DOI]

CoRR, 2021

Lei Yang

Timeline

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