31 citations · 47 across the 5 of their papers we have counts for
5 papers
LPFormer: LiDAR Pose Estimation Transformer with Multi-Task Network
Dongqiangzi Ye, Yufei Xie, Weijia Chen +3
Due to the difficulty of acquiring large-scale 3D human keypoint annotation, previous methods for 3D human pose estimation (HPE) have often relied on 2D image features and sequenti…
LiDARFormer: A Unified Transformer-based Multi-task Network for LiDAR Perception
Zixiang Zhou, Dongqiangzi Ye, Weijia Chen +4
There is a recent trend in the LiDAR perception field towards unifying multiple tasks in a single strong network with improved performance, as opposed to using separate networks fo…
LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception
Dongqiangzi Ye, Zixiang Zhou, Weijia Chen +4
LiDAR-based 3D object detection, semantic segmentation, and panoptic segmentation are usually implemented in specialized networks with distinctive architectures that are difficult…
LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network
Dongqiangzi Ye, Weijia Chen, Zixiang Zhou +4
This technical report presents the 1st place winning solution for the Waymo Open Dataset 3D semantic segmentation challenge 2022. Our network, termed LidarMultiNet, unifies the maj…
Point Set Voting for Partial Point Cloud Analysis
Junming Zhang, Weijia Chen, Yuping Wang +2
The continual improvement of 3D sensors has driven the development of algorithms to perform point cloud analysis. In fact, techniques for point cloud classification and segmentatio…