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Jingyi Xu

4 papers hereh-index 16 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Jingyi Xu — 15 papers, h 3
  • Jingyi Xu — 10 papers, h 10
  • Jingyi Xu — 10 papers, h 10
  • Jingyi Xu — 8 papers, h 7
  • Jingyi Xu — 4 papers
  • Jingyi Xu — 3 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

G2IA: Geometry-Guided Instance-Aware Retrieval and Refinement for Cross-Modal Place Recognition

Xianyun Jiao, Jingyi Xu, Zhongmiao Yan +2

Cross-modal place recognition (CMPR) enables camera-only robots to localize against pre-built LiDAR maps in autonomous navigation scenarios. This image-to-point-cloud setting is ch…

cs.CV2026

360-GeoGS: Geometrically Consistent Feed-Forward 3D Gaussian Splatting Reconstruction for 360 Images

Jiaqi Yao, Zhongmiao Yan, Jingyi Xu +3

3D scene reconstruction is fundamental for spatial intelligence applications such as AR, robotics, and digital twins. Traditional multi-view stereo struggles with sparse viewpoints…

cs.CV2025

XGrid-Mapping: Explicit Implicit Hybrid Grid Submaps for Efficient Incremental Neural LiDAR Mapping

Zeqing Song, Zhongmiao Yan, Junyuan Deng +5

Large-scale incremental mapping is fundamental to the development of robust and reliable autonomous systems, as it underpins incremental environmental understanding with sequential…

cs.CV2024

Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting

Jingyi Xu, Xieyuanli Chen, Junyi Ma +4

The task of occupancy forecasting (OCF) involves utilizing past and present perception data to predict future occupancy states of autonomous vehicle surrounding environments, which…

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