Zhu, Xinge

TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers

Bai, X., Hu, Z., Zhu, X., Huang, Q., Chen, Y., Fu, H., & Tai, C.-L. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications

Cited by 990

FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

Wang, T., Zhu, X., Pang, J., & Lin, D. (2021) · 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 683

FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

Wang, T., Zhu, X., Pang, J., & Lin, D. (2021) · arXiv

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 683

Adapting Object Detectors via Selective Cross-Domain Alignment

Zhu, X., Pang, J., Yang, C., Shi, J., & Lin, D. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 387

SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds

Zhu, X., Ma, Y., Wang, T., Xu, Y., Shi, J., & Lin, D. (2020) · Lecture Notes in Computer Science

3D Shape Modeling and AnalysisAdvanced Neural Network Applications

Cited by 119