activity
20192024
most citedComplete Scene Reconstruction by Merging Images and Laser Scans

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

PolyRoom: Room-aware Transformer for Floorplan Reconstruction

Yuzhou Liu, Lingjie Zhu, Xiaodong Ma +4

Reconstructing geometry and topology structures from raw unstructured data has always been an important research topic in indoor mapping research. In this paper, we aim to reconstr…

cs.CV2022

GAT-CADNet: Graph Attention Network for Panoptic Symbol Spotting in CAD Drawings

Zhaohua Zheng, Jianfang Li, Lingjie Zhu +3

Spotting graphical symbols from the computer-aided design (CAD) drawings is essential to many industrial applications. Different from raster images, CAD drawings are vector graphic…

cs.CV2021

FloorPlanCAD: A Large-Scale CAD Drawing Dataset for Panoptic Symbol Spotting

Zhiwen Fan, Lingjie Zhu, Honghua Li +3

Access to large and diverse computer-aided design (CAD) drawings is critical for developing symbol spotting algorithms. In this paper, we present FloorPlanCAD, a large-scale real-w…

cs.CV2019

Visual Localization Using Sparse Semantic 3D Map

Tianxin Shi, Shuhan Shen, Xiang Gao +1

Accurate and robust visual localization under a wide range of viewing condition variations including season and illumination changes, as well as weather and day-night variations, i…

cs.CV2019★ 1 cited

Complete Scene Reconstruction by Merging Images and Laser Scans

Xiang Gao, Shuhan Shen, Lingjie Zhu +3

Image based modeling and laser scanning are two commonly used approaches in large-scale architectural scene reconstruction nowadays. In order to generate a complete scene reconstru…