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20182026
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cs.CV2026

VFM-Recon: Unlocking Cross-Domain Scene-Level Neural Reconstruction with Scale-Aligned Foundation Priors

Yuhang Ming, Tingkang Xi, Xingrui Yang +4

Scene-level neural volumetric reconstruction from monocular videos remains challenging, especially under severe domain shifts. Although recent advances in vision foundation models…

cs.CV2024

VIPeR: Visual Incremental Place Recognition with Adaptive Mining and Continual Learning

Yuhang Ming, Minyang Xu, Xingrui Yang +5

Visual place recognition (VPR) is an essential component of many autonomous and augmented/virtual reality systems. It enables the systems to robustly localize themselves in large-s…

cs.CV20241 cited

Vox-Fusion++: Voxel-based Neural Implicit Dense Tracking and Mapping with Multi-maps

Hongjia Zhai, Hai Li, Xingrui Yang +4

In this paper, we introduce Vox-Fusion++, a multi-maps-based robust dense tracking and mapping system that seamlessly fuses neural implicit representations with traditional volumet…

cs.CV2023

AEGIS-Net: Attention-guided Multi-Level Feature Aggregation for Indoor Place Recognition

Yuhang Ming, Jian Ma, Xingrui Yang +3

We present AEGIS-Net, a novel indoor place recognition model that takes in RGB point clouds and generates global place descriptors by aggregating lower-level color, geometry featur…

cs.CV2021

Object-Augmented RGB-D SLAM for Wide-Disparity Relocalisation

Yuhang Ming, Xingrui Yang, Andrew Calway

We propose a novel object-augmented RGB-D SLAM system that is capable of constructing a consistent object map and performing relocalisation based on centroids of objects in the map…

cs.CV2018

Real-Time Stereo Vision for Road Surface 3-D Reconstruction

Rui Fan, Yanan Liu, Xingrui Yang +3

Stereo vision techniques have been widely used in civil engineering to acquire 3-D road data. The two important factors of stereo vision are accuracy and speed. However, it is very…