Guangfeng Jiang
Orcid: 0009-0007-0034-8508
According to our database1,
Guangfeng Jiang authored at least 22 papers
between 2004 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2026
DLWM: Dual Latent World Models enable Holistic Gaussian-centric Pre-training in Autonomous Driving.
CoRR, April, 2026
IEEE Trans. Intell. Transp. Syst., January, 2026
MKFusion: Multi-modal knowledge distillation for 4D radar point cloud segmentation in autonomous driving.
Knowl. Based Syst., 2026
MLF-4DRCNet: Multi-level fusion with 4D radar and camera for 3D object detection in autonomous driving.
Inf. Fusion, 2026
You only click once: single point weakly supervised 3D instance segmentation for autonomous driving.
Expert Syst. Appl., 2026
2025
CoRR, December, 2025
UniUGP: Unifying Understanding, Generation, and Planing For End-to-end Autonomous Driving.
CoRR, December, 2025
CoRR, November, 2025
Is Your VLM for Autonomous Driving Safety-Ready? A Comprehensive Benchmark for Evaluating External and In-Cabin Risks.
CoRR, November, 2025
CoRR, October, 2025
MSSF: A 4D Radar and Camera Fusion Framework With Multi-Stage Sampling for 3D Object Detection in Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., June, 2025
Radar M3-Net: Multi-scale, multi-layer, multi-frame network with a large receptive field for 3D object detection.
Expert Syst. Appl., 2025
EGSRAL: An Enhanced 3D Gaussian Splatting Based Renderer with Automated Labeling for Large-Scale Driving Scene.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Spatial and Temporal Awareness Network for Semantic Segmentation on Automotive Radar Point Cloud.
IEEE Trans. Intell. Veh., February, 2024
Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving.
CoRR, 2024
MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2022
2018
2017
2004
Australas. J Comb., 2004