activity
20192026
most citedDirect-PoseNet: Absolute Pose Regression with Photometric Consistency

6 citations · 16 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

EventGait: Towards Robust Gait Recognition with Event Streams

Senyan Xu, Shuai Chen, Chuanfu Shen +4

Gait recognition enables non-intrusive, privacy-preserving identification but suffers in uncontrolled environments due to illumination and motion sensitivity of conventional camera…

cs.CV2024★ 1 cited

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…

cs.CV2024

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…

cs.CV2023★ 2 cited

Neural Refinement for Absolute Pose Regression with Feature Synthesis

Shuai Chen, Yash Bhalgat, Xinghui Li +4

Absolute Pose Regression (APR) methods use deep neural networks to directly regress camera poses from RGB images. However, the predominant APR architectures only rely on 2D operati…

cs.CV2022★ 2 cited

DFNet: Enhance Absolute Pose Regression with Direct Feature Matching

Shuai Chen, Xinghui Li, Zirui Wang +1

We introduce a camera relocalization pipeline that combines absolute pose regression (APR) and direct feature matching. By incorporating exposure-adaptive novel view synthesis, our…

cs.CV2021★ 6 cited

Direct-PoseNet: Absolute Pose Regression with Photometric Consistency

Shuai Chen, Zirui Wang, Victor Prisacariu

We present a relocalization pipeline, which combines an absolute pose regression (APR) network with a novel view synthesis based direct matching module, offering superior accuracy…

cs.CV2019★ 5 cited

DuBox: No-Prior Box Objection Detection via Residual Dual Scale Detectors

Shuai Chen, Jinpeng Li, Chuanqi Yao +4

Traditional neural objection detection methods use multi-scale features that allow multiple detectors to perform detecting tasks independently and in parallel. At the same time, wi…