Xukun Zhang — accepted AI-conference papers

2024

HybridOcc: NeRF Enhanced Transformer-Based Multi-Camera 3D Occupancy Prediction

Xiao Zhao, Bo Chen, Mingyang Sun, Dingkang Yang, Youxing Wang, Xukun Zhang +4

RA-L 2024

Vision-based 3D semantic scene completion (SSC) describes autonomous driving scenes through 3D volume representations. However, the occlusion of invisible voxels by scene surfaces poses challenges to current SSC methods in hallucinating refined 3D geometry. This letter proposes HybridOcc, a hybrid 3

Cited by 17 Source ↗Scholar ↗

2023

D-CONFORMER: Deformable Sparse Transformer Augmented Convolution for Voxel-Based 3D Object Detection

Xiao Zhao, Liuzhen Su, Xukun Zhang, Dingkang Yang, Mingyang Sun, Shunli Wang +2

ICASSP 2023accepted

Although CNN-based and Transformer-based detectors have made impressive improvements in 3D object detection, these two network paradigms suffer from the interference of insufficient receptive field and local detail weakening, which significantly limits the feature extraction performance of the backb…

Cited by 0 Source ↗Scholar ↗