Feiyang Jia

Orcid: 0000-0001-9933-872X

According to our database1, Feiyang Jia authored at least 16 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
DGFusion: Dual-Guided Fusion for Robust Multi-Modal 3D Object Detection.
IEEE Trans. Circuits Syst. Video Technol., April, 2026

OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation.
CoRR, April, 2026

DriveWorld-VLA: Unified Latent-Space World Modeling with Vision-Language-Action for Autonomous Driving.
CoRR, February, 2026

2025
GuideFlow: Constraint-Guided Flow Matching for Planning in End-to-End Autonomous Driving.
CoRR, November, 2025

Beyond Imitation: Constraint-Aware Trajectory Generation with Flow Matching For End-to-End Autonomous Driving.
CoRR, October, 2025

2024
Robustness-Aware 3D Object Detection in Autonomous Driving: A Review and Outlook.
IEEE Trans. Intell. Transp. Syst., November, 2024

SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-Based 3-D Object Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

CWT-Net: Super-resolution of Histopathology Images Using a Cross-scale Wavelet-based Transformer.
CoRR, 2024

SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-based 3D Object Detection.
CoRR, 2024

ContrastAlign: Toward Robust BEV Feature Alignment via Contrastive Learning for Multi-Modal 3D Object Detection.
CoRR, 2024

RoboFusion: Towards Robust Multi-Modal 3D obiect Detection via SAM.
CoRR, 2024

RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

GraphBEV: Towards Robust BEV Feature Alignment for Multi-modal 3D Object Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
A super-resolution network using channel attention retention for pathology images.
PeerJ Comput. Sci., 2023

Research status of deep learning methods for rumor detection.
Multim. Tools Appl., 2023

2022
Research Status of Deep Learning Methods for Rumor Detection.
CoRR, 2022


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