3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention

Very deep convolutional networks for large-scale image recognition

Original

K. Simonyan and A. Zisserman · 2014

Earlier work this paper cites.

Graph-based characteristic view set extraction and matching for 3D model retrieval

Liu Anan, Wang Zhongyang, Nie Weizhi, and Su Yuting · 2015

Earlier work this paper cites.

Deeppano: Deep panoramic representation for 3D shape recognition

B. Shi et al · 2015

Earlier work this paper cites.

Multi-view convolutional neural networks for 3D shape recognition

Hang Su et al · 2015

Earlier work this paper cites.

3D ShapeNets: A deep representation for volumetric shapes

Zhirong Wu et al · 2015

Earlier work this paper cites.

Multi-modal clique-graph matching for view-based 3D model retrieval

Liu An-An, Nie Wei-Zhi, and Su Yu-Ting · 2016

Earlier work this paper cites.

NetVLAD: CNN architecture for weakly supervised place recognition

Relja Arandjelovic et al · 2016

Earlier work this paper cites.

Pairwise decomposition of image sequences for active multi-view recognition

Edward Johns, Stefan Leutenegger, and Andrew J. Davison · 2016

Earlier work this paper cites.

Shrec’16 track large-scale 3D shape retrieval from shapeNet core55

M. Savva et al · 2016

Earlier work this paper cites.

Deep learning 3D shape surfaces using geometry images

Ayan Sinha, Jing Bai, and Karthik Ramani · 2016

Earlier work this paper cites.

Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling

Jiajun Wu et al · 2016

Cited alongside, same era.

GIFT: Towards scalable 3D shape retrieval

Song Bai et al · 2017

Cited alongside, same era.

3D object classification via spherical projections

Zhangjie Cao, Qixing Huang, and Karthik Ramani · 2017

Cited alongside, same era.

Representation learning on graphs: Methods and applications

William L. Hamilton et al · 2017

Cited alongside, same era.

Learning local shape descriptors with view-based convolutional neural networks

H. Huang, E. Kalegorakis, S. Chaudhuri, D. Ceylan, V. Kim, and E. Yumer · 2017

Cited alongside, same era.

Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Charles Qi et al · 2017

Cited alongside, same era.

Deep spatiality: Unsupervised learning of spatially-enhanced global and local 3D features by deep neural network with coupled softmax

Zhizhong Han et al · 2018

Later among the works it cites.

Triplet-center loss for multi-view 3D object retrieval

Xinwei He, Yang Zhou, Zhichao Zhou, Song Bai, and Xiang Bai · 2018

Later among the works it cites.

Rotationnet: Joint object categorization and pose estimation using multiviews from unsupervised viewpoints

Asako Kanezaki, Yasuyuki Matsushita, and Yoshifumi Nishida · 2018

Later among the works it cites.

SO-Net: Self organizing network for point cloud analysis

Jiaxin Li et al · 2018

Later among the works it cites.

Foldingnet: Point cloud auto-encoder via deep grid deformation

Yaoqing Yang, Chen Feng, Yiru Shen, and Dong Tian · 2018

Later among the works it cites.

Multi-view harmonized bilinear network for 3D object recognition