activity
20202022
most citedShallow2Deep: Indoor Scene Modeling by Single Image Understanding

17 citations · 33 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2021

Surgical Instruction Generation with Transformers

Jinglu Zhang, Yinyu Nie, Jian Chang +1

Automatic surgical instruction generation is a prerequisite towards intra-operative context-aware surgical assistance. However, generating instructions from surgical scenes is chal…

cs.CV20208 cited

RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction

Yinyu Nie, Ji Hou, Xiaoguang Han +1

Semantic scene understanding from point clouds is particularly challenging as the points reflect only a sparse set of the underlying 3D geometry. Previous works often convert point…

cs.CV2020

Skeleton-bridged Point Completion: From Global Inference to Local Adjustment

Yinyu Nie, Yiqun Lin, Xiaoguang Han +4

Point completion refers to complete the missing geometries of objects from partial point clouds. Existing works usually estimate the missing shape by decoding a latent feature enco…

eess.IV2020

Symmetric Dilated Convolution for Surgical Gesture Recognition

Jinglu Zhang, Yinyu Nie, Yao Lyu +4

Automatic surgical gesture recognition is a prerequisite of intra-operative computer assistance and objective surgical skill assessment. Prior works either require additional senso…

cs.CV20208 cited

Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image

Yinyu Nie, Xiaoguang Han, Shihui Guo +3

Semantic reconstruction of indoor scenes refers to both scene understanding and object reconstruction. Existing works either address one part of this problem or focus on independen…

cs.CV202017 cited

Shallow2Deep: Indoor Scene Modeling by Single Image Understanding

Yinyu Nie, Shihui Guo, Jian Chang +4

Dense indoor scene modeling from 2D images has been bottlenecked due to the absence of depth information and cluttered occlusions. We present an automatic indoor scene modeling app…