Xiaoqiang Cheng — accepted AI-conference papers

2024

ViewFormer: Exploring Spatiotemporal Modeling for Multi-View 3D Occupancy Perception via View-Guided Transformers

Jinke Li*, Xiao He*, Chonghua Zhou, Xiaoqiang Cheng, Yang Wen, Dan Zhang*

ECCV 2024poster

"3D occupancy, an advanced perception technology for driving scenarios, represents the entire scene without distinguishing between foreground and background by quantifying the physical space into a grid map. The widely adopted projection-first deformable attention, efficient in transforming image fe…

Cited by 17 Source ↗PDF ↗code ↗Scholar ↗

2022

Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation via Clustering Pseudo Heatmap

Jinke Li, Xiao He, Yang Wen, Yuan Gao, Xiaoqiang Cheng, Dan Zhang

CVPR 2022poster

As a rising task, panoptic segmentation is faced with challenges in both semantic segmentation and instance segmentation. However, in terms of speed and accuracy, existing LiDAR methods in the field are still limited. In this paper, we propose a fast and high-performance LiDAR-based framework, refer…

Cited by 68 PDF ↗Scholar ↗