5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation
Shaoqing Xu, Fang Li, Peixiang Huang +2
Accurate multi-view 3D object detection is essential for applications such as autonomous driving. Researchers have consistently aimed to leverage LiDAR's precise spatial informatio…
cs.CV2023★ 2 cited
RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision
Mingjie Pan, Jiaming Liu, Renrui Zhang +6
3D occupancy prediction holds significant promise in the fields of robot perception and autonomous driving, which quantifies 3D scenes into grid cells with semantic labels. Recent…
cs.CV2023★ 5 cited
UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering
Mingjie Pan, Li Liu, Jiaming Liu +6
In this technical report, we present our solution, named UniOCC, for the Vision-Centric 3D occupancy prediction track in the nuScenes Open Dataset Challenge at CVPR 2023. Existing…