Feiyang Jia

According to our database, Feiyang Jia authored at least 10 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Ziying Song, Lin Liu, Feiyang Jia, Yadan Luo, Caiyan Jia, Guoxin Zhang, Lei Yang, Li Wang

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

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

Lin Liu, Ziying Song, Qiming Xia, Feiyang Jia, Caiyan Jia, Lei Yang, Yan Gong, Hongyu Pan

IEEE Trans. Geosci. Remote. Sens., 2024

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

Feiyang Jia, Zhineng Chen, Ziying Song, Lin Liu, Caiyan Jia

CoRR, 2024

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

Lin Liu, Ziying Song, Qiming Xia, Feiyang Jia, Caiyan Jia, Lei Yang, Hongyu Pan

CoRR, 2024

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

Ziying Song, Feiyang Jia, Hongyu Pan, Yadan Luo, Caiyan Jia, Guoxin Zhang, Lin Liu, Yang Ji, Lei Yang, Li Wang

CoRR, 2024

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

Ziying Song, Guoxing Zhang, Lin Liu, Lei Yang, Shaoqing Xu, Caiyan Jia, Feiyang Jia, Li Wang

CoRR, 2024

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

Ziying Song, Guoxing Zhang, Lin Liu, Lei Yang, Shaoqing Xu, Caiyan Jia, Feiyang Jia, Li Wang

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

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

Ziying Song, Lei Yang, Shaoqing Xu, Lin Liu, Dongyang Xu, Caiyan Jia, Feiyang Jia, Li Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

A super-resolution network using channel attention retention for pathology images.

Feiyang Jia, Li Tan, Ge Wang, Caiyan Jia, Zhineng Chen

PeerJ Comput. Sci., 2023

Research status of deep learning methods for rumor detection.

Li Tan, Ge Wang, Feiyang Jia, Xiaofeng Lian

Multim. Tools Appl., 2023