activity
20222026
collaborators

7 papers

cs.CV2026

TopoGS: Topology-Aware Anchor Feature Aggregation for Large-Scale 3D Gaussian Splatting

Wei Zhang, Shiqiang Gong, Shengkai Yu +4

Octree-based 3D Gaussian Splatting organizes anchors into multi-level hierarchies for level-of-detail rendering, but features at different levels are typically optimized independen…

cs.CV2026

VGGT-Align: Bridging Local Reconstruction and Global Consistency for Long-Sequence 3D Reconstruction

Wei Zhang, Yihang Wu, Songhua Li +1

Maintaining global geometric consistency is a central challenge in long-sequence 3D reconstruction, with scale drift being the most critical failure mode. In chunk-based inference…

cs.CV2026

HiCo-GS: Hierarchical Context Aggregation and Geometric Consistency for Octree Gaussian Splatting

Wei Zhang, Shengkai Yu, Shiqiang Gong +3

Octree-based anchor Gaussian Splatting has emerged as a scalable representation for city-scale novel view synthesis, where multi-level anchors adaptively capture scene content from…

cs.CV2026

A Large-Scale Dataset and a New Method for RemoteSensing Traffic Object Segmentation

Zhigang Yang, Huiguang Yao, Linmao Tian +2

Remote sensing imagery plays a crucial role in evaluating regional transportation capacity. However, existing segmentation datasets often lack diversity in object categories and sc…

cs.CV2026

VGGT-CD: Training-Free Robust Registration for 3D Change Detection

Wei Zhang, Songhua Li, Yihang Wu +2

3D change detection from multi-view images is essential for urban monitoring, disaster assessment, and autonomous driving. However, existing methods predominantly operate in the 2D…

cs.CV2025

Edge Approximation Text Detector

Chuang Yang, Xu Han, Tao Han +3

Pursuing efficient text shape representations helps scene text detection models focus on compact foreground regions and optimize the contour reconstruction steps to simplify the wh…

cs.CV2022

Zoom Text Detector

Chuang. Yang, Mulin. Chen, Yuan. Yuan +1

To pursue comprehensive performance, recent text detectors improve detection speed at the expense of accuracy. They adopt shrink-mask based text representation strategies, which le…