activity
20182020
most citedVid2Curve: Simultaneous Camera Motion Estimation and Thin Structure Reconstruction from an RGB Video

12 citations · 15 across the 2 of their papers we have counts for

collaborators

6 papers

cs.CV20203 cited

Mapping in a cycle: Sinkhorn regularized unsupervised learning for point cloud shapes

Lei Yang, Wenxi Liu, Zhiming Cui +2

We propose an unsupervised learning framework with the pretext task of finding dense correspondences between point cloud shapes from the same category based on the cycle-consistenc…

cs.GR202012 cited

Vid2Curve: Simultaneous Camera Motion Estimation and Thin Structure Reconstruction from an RGB Video

Peng Wang, Lingjie Liu, Nenglun Chen +3

Thin structures, such as wire-frame sculptures, fences, cables, power lines, and tree branches, are common in the real world. It is extremely challenging to acquire their 3D digita…

cs.CV2020

MulayCap: Multi-layer Human Performance Capture Using A Monocular Video Camera

Zhaoqi Su, Weilin Wan, Tao Yu +4

We introduce MulayCap, a novel human performance capture method using a monocular video camera without the need for pre-scanning. The method uses "multi-layer" representations for…

cs.CV2020

Unsupervised Learning of Intrinsic Structural Representation Points

Nenglun Chen, Lingjie Liu, Zhiming Cui +4

Learning structures of 3D shapes is a fundamental problem in the field of computer graphics and geometry processing. We present a simple yet interpretable unsupervised method for l…

cs.CV2019

Cephalometric Landmark Detection by AttentiveFeature Pyramid Fusion and Regression-Voting

Runnan Chen, Yuexin Ma, Nenglun Chen +2

Marking anatomical landmarks in cephalometric radiography is a critical operation in cephalometric analysis. Automatically and accurately locating these landmarks is a challenging…

cs.CV2018

Floorplan-Jigsaw: Jointly Estimating Scene Layout and Aligning Partial Scans

Cheng Lin, Changjian Li, Wenping Wang

We present a novel approach to align partial 3D reconstructions which may not have substantial overlap. Using floorplan priors, our method jointly predicts a room layout and estima…