MGTR: Multi-Granular Transformer for Motion Prediction with LiDAR

no code implementations • 5 Dec 2023 • Yiqian Gan, Hao Xiao, Yizhe Zhao, Ethan Zhang, Zhe Huang, Xin Ye, Lingting Ge

Motion prediction has been an essential component of autonomous driving systems since it handles highly uncertain and complex scenarios involving moving agents of different types.

Autonomous Driving motion prediction

LPFormer: LiDAR Pose Estimation Transformer with Multi-Task Network

no code implementations • 21 Jun 2023 • Dongqiangzi Ye, Yufei Xie, Weijia Chen, Zixiang Zhou, Lingting Ge, Hassan Foroosh

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 sequential 2D annotations.

3D Human Pose Estimation

MonoEdge: Monocular 3D Object Detection Using Local Perspectives

no code implementations • 4 Jan 2023 • Minghan Zhu, Lingting Ge, Panqu Wang, Huei Peng

We propose a novel approach for monocular 3D object detection by leveraging local perspective effects of each object.

Monocular 3D Object Detection Object +2