1 code implementation • 23 Oct 2022 • Xin Wu, Hao Zhao, Shunkai Li, Yingdian Cao, Hongbin Zha
Visual re-localization aims to recover camera poses in a known environment, which is vital for applications like robotics or augmented reality.
no code implementations • CVPR 2021 • Shunkai Li, Xin Wu, Yingdian Cao, Hongbin Zha
Our method enables fast adaptation of deep VO networks to unseen environments in a self-supervised manner.
no code implementations • CVPR 2020 • Shunkai Li, Xin Wang, Yingdian Cao, Fei Xue, Zike Yan, Hongbin Zha
In this paper, we propose an online meta-learning algorithm to enable VO networks to continuously adapt to new environments in a self-supervised manner.
no code implementations • ICCV 2019 • Shunkai Li, Fei Xue, Xin Wang, Zike Yan, Hongbin Zha
As single-view depth estimation is an ill-posed problem, and photometric loss is incapable of discriminating distortion artifacts of warped images, the estimated depth is vague and pose is inaccurate.
no code implementations • CVPR 2019 • Fei Xue, Xin Wang, Shunkai Li, Qiuyuan Wang, Junqiu Wang, Hongbin Zha
Most previous learning-based visual odometry (VO) methods take VO as a pure tracking problem.