4 citations · 5 across the 9 of their papers we have counts for
5 papers · 1 filter
LiteVLoc: Map-Lite Visual Localization for Image Goal Navigation
Jianhao Jiao, Jinhao He, Changkun Liu +4
This paper presents LiteVLoc, a hierarchical visual localization framework that uses a lightweight topo-metric map to represent the environment. The method consists of three sequen…
GS-CPR: Efficient Camera Pose Refinement via 3D Gaussian Splatting
Changkun Liu, Shuai Chen, Yash Bhalgat +5
We leverage 3D Gaussian Splatting (3DGS) as a scene representation and propose a novel test-time camera pose refinement (CPR) framework, GS-CPR. This framework enhances the localiz…
AIR-HLoc: Adaptive Retrieved Images Selection for Efficient Visual Localisation
Changkun Liu, Jianhao Jiao, Huajian Huang +3
State-of-the-art hierarchical localisation pipelines (HLoc) employ image retrieval (IR) to establish 2D-3D correspondences by selecting the top- most similar images from a refer…
MobileARLoc: On-device Robust Absolute Localisation for Pervasive Markerless Mobile AR
Changkun Liu, Yukun Zhao, Tristan Braud
Recent years have seen significant improvement in absolute camera pose estimation, paving the way for pervasive markerless Augmented Reality (AR). However, accurate absolute pose e…
HR-APR: APR-agnostic Framework with Uncertainty Estimation and Hierarchical Refinement for Camera Relocalisation
Changkun Liu, Shuai Chen, Yukun Zhao +3
Absolute Pose Regressors (APRs) directly estimate camera poses from monocular images, but their accuracy is unstable for different queries. Uncertainty-aware APRs provide uncertain…