7 citations · 16 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…
Producing a Standard Dataset of Speed Climbing Training Videos Using Deep Learning Techniques
Yufei Xie, Shaoman Li, Penghui Lin
This dissertation presents a methodology for recording speed climbing training sessions with multiple cameras and annotating the videos with relevant data, including body position,…
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…