activity
20182022
most citedBeyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry

14 citations · 24 across the 7 of their papers we have counts for

collaborators

17 papers

cs.CV2022

SC-wLS: Towards Interpretable Feed-forward Camera Re-localization

Xin Wu, Hao Zhao, Shunkai Li +2

Visual re-localization aims to recover camera poses in a known environment, which is vital for applications like robotics or augmented reality. Feed-forward absolute camera pose re…

cs.CV2021

Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations

Zike Yan, Yuxin Tian, Xuesong Shi +3

Recent advances have enabled a single neural network to serve as an implicit scene representation, establishing the mapping function between spatial coordinates and scene propertie…

cs.CV20212 cited

Online Learning of a Probabilistic and Adaptive Scene Representation

Zike Yan, Xin Wang, Hongbin Zha

Constructing and maintaining a consistent scene model on-the-fly is the core task for online spatial perception, interpretation, and action. In this paper, we represent the scene w…

cs.CV20212 cited

Generalizing to the Open World: Deep Visual Odometry with Online Adaptation

Shunkai Li, Xin Wu, Yingdian Cao +1

Despite learning-based visual odometry (VO) has shown impressive results in recent years, the pretrained networks may easily collapse in unseen environments. The large domain gap b…

cs.CV2020

Line Flow based SLAM

Qiuyuan Wang, Zike Yan, Junqiu Wang +3

We propose a visual SLAM method by predicting and updating line flows that represent sequential 2D projections of 3D line segments. While feature-based SLAM methods have achieved e…

cs.RO20201 cited

Deep Visual Odometry with Adaptive Memory

Fei Xue, Xin Wang, Junqiu Wang +1

We propose a novel deep visual odometry (VO) method that considers global information by selecting memory and refining poses. Existing learning-based methods take the VO task as a…