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.
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.
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.