Liangliang Nan

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A search-classify approach for cluttered indoor scene understanding

Liangliang Nan, Ke Xie, Andrei Sharf
ACM Trans. Graph.
2012

We present an algorithm for recognition and reconstruction of scanned 3D indoor scenes. 3D indoor reconstruction is particularly challenging due to object interferences, occlusions and overlapping… (More)

Manhattan-World Urban Reconstruction from Point Clouds

SmartBoxes for interactive urban reconstruction

Liangliang Nan, Andrei Sharf, Hao Zhang, Daniel Cohen-Or, Baoquan Chen
ACM Trans. Graph.
2010

Conjoining Gestalt rules for abstraction of architectural drawings

Liangliang Nan, Andrei Sharf, +4 authors Baoquan Chen
SA '11
2011

We present a method for structural summarization and abstraction of complex spatial arrangements found in architectural drawings. The method is based on the well-known Gestalt rules, which summarize… (More)

PolyFit: Polygonal Surface Reconstruction from Point Clouds

Liangliang Nan, Peter Wonka
IEEE International Conference on Computer Vision…
2017

We propose a novel framework for reconstructing lightweight polygonal surfaces from point clouds. Unlike traditional methods that focus on either extracting good geometric primitives or obtaining… (More)

Reconstructing building mass models from UAV images

Minglei Li, Liangliang Nan, Neil Smith, Peter Wonka
Computers & Graphics
2016

We present an automatic reconstruction pipeline for large scale urban scenes from aerial images captured by a camera mounted on an unmanned aerial vehicle. Using state-of-the-art Structure from… (More)

Template Assembly for Detailed Urban Reconstruction

Liangliang Nan, Caigui Jiang, Bernard Ghanem, Peter Wonka
Comput. Graph. Forum
2015

We propose a new framework to reconstruct building details by automatically assembling 3D templates on coarse textured building models. In a preprocessing step, we generate an initial coarse model to… (More)

Large Scale Asset Extraction for Urban Images

Lama Affara, Liangliang Nan, Bernard Ghanem, Peter Wonka
ECCV
2016

Object proposals are currently used for increasing the computational efficiency of object detection. We propose a novel adaptive pipeline for interleaving object proposals with object classification… (More)

2D-D Lifting for Shape Reconstruction

Liangliang Nan, Andrei Sharf, Baoquan Chen
Comput. Graph. Forum
2014

We present an algorithm for shape reconstruction from incomplete 3D scans by fusing together two acquisition modes: 2D photographs and 3D scans. The two modes exhibit complementary characteristics:… (More)

Transplantation of Amniotic Scaffold-Seeded Mesenchymal Stem Cells and/or Endothelial Progenitor Cells From Bone Marrow to Efficiently Repair 3-cm Circumferential Urethral Defect in Model Dogs.

Chen Chen, Shuxin Zheng, +4 authors Yihua Zhang
Tissue engineering. Part A
2018

The treatment options for patients with a urethral defect are limited by the availability of autologous tissues. We hypothesized that transplantation of decellularized human amniotic scaffolds (dHAS)… (More)

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