217 citations · 687 across the 55 of their papers we have counts for
4 papers · 2 filters
VERAM: View-Enhanced Recurrent Attention Model for 3D Shape Classification
Songle Chen, Lintao Zheng, Yan Zhang +2
Multi-view deep neural network is perhaps the most successful approach in 3D shape classification. However, the fusion of multi-view features based on max or average pooling lacks…
Learning Discriminative 3D Shape Representations by View Discerning Networks
Biao Leng, Cheng Zhang, Xiaocheng Zhou +2
In view-based 3D shape recognition, extracting discriminative visual representation of 3D shapes from projected images is considered the core problem. Projections with low discrimi…
Im2Struct: Recovering 3D Shape Structure from a Single RGB Image
Chengjie Niu, Jun Li, Kai Xu
We propose to recover 3D shape structures from single RGB images, where structure refers to shape parts represented by cuboids and part relations encompassing connectivity and symm…
PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction
Yifei Shi, Kai Xu, Matthias Niessner +2
We introduce a novel RGB-D patch descriptor designed for detecting coplanar surfaces in SLAM reconstruction. The core of our method is a deep convolutional neural net that takes in…