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CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
v1v2 (latest)

CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations

6 August 2020
Davis Rempe
Tolga Birdal
Yongheng Zhao
Zan Gojcic
Srinath Sridhar
Leonidas Guibas
    3DPC
ArXiv (abs)PDFHTML

Papers citing "CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations"

18 / 68 papers shown
Title
Group Normalization
Group Normalization
Yuxin Wu
Kaiming He
236
3,670
0
22 Mar 2018
SPLATNet: Sparse Lattice Networks for Point Cloud Processing
SPLATNet: Sparse Lattice Networks for Point Cloud Processing
Hang Su
Varun Jampani
Deqing Sun
Subhransu Maji
E. Kalogerakis
Ming-Hsuan Yang
Jan Kautz
3DPC
67
750
0
22 Feb 2018
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
Thibault Groueix
Matthew Fisher
Vladimir G. Kim
Bryan C. Russell
Mathieu Aubry
3DV
144
1,184
0
15 Feb 2018
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching
Haowen Deng
Tolga Birdal
Slobodan Ilic
3DV3DPC
76
551
0
07 Feb 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN3DPC
257
6,169
0
24 Jan 2018
PointCNN: Convolution On $\mathcal{X}$-Transformed Points
PointCNN: Convolution On X\mathcal{X}X-Transformed Points
Yangyan Li
Rui Bu
Mingchao Sun
Wei Wu
Xinhan Di
Baoquan Chen
3DPC
235
2,450
0
23 Jan 2018
Continuous-Time Flows for Efficient Inference and Density Estimation
Continuous-Time Flows for Efficient Inference and Density Estimation
Changyou Chen
Chunyuan Li
Liquan Chen
Wenlin Wang
Yunchen Pu
Lawrence Carin
TPM
90
57
0
04 Sep 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric
  Space
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
C. Qi
L. Yi
Hao Su
Leonidas Guibas
3DPC3DV
366
11,142
0
07 Jun 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH3DPC3DVPINN
493
14,360
0
02 Dec 2016
Temporal Convolutional Networks for Action Segmentation and Detection
Temporal Convolutional Networks for Action Segmentation and Detection
Colin S. Lea
Michael D. Flynn
René Vidal
A. Reiter
Gregory Hager
98
1,498
0
16 Nov 2016
Normalizing Flows on Riemannian Manifolds
Normalizing Flows on Riemannian Manifolds
Mevlana Gemici
Danilo Jimenez Rezende
S. Mohamed
BDL
70
106
0
07 Nov 2016
Long-term Temporal Convolutions for Action Recognition
Long-term Temporal Convolutions for Action Recognition
Gül Varol
Ivan Laptev
Cordelia Schmid
83
912
0
15 Apr 2016
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object
  Reconstruction
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
Chris Choy
Danfei Xu
JunYoung Gwak
Kevin Chen
Silvio Savarese
3DV
89
1,719
0
02 Apr 2016
ShapeNet: An Information-Rich 3D Model Repository
ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang
Thomas Funkhouser
Leonidas Guibas
Pat Hanrahan
Qi-Xing Huang
...
Shuran Song
Hao Su
Jianxiong Xiao
L. Yi
Feng Yu
3DV
172
5,538
0
09 Dec 2015
Variational Inference with Normalizing Flows
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRLBDL
318
4,196
0
21 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
Category-Specific Object Reconstruction from a Single Image
Category-Specific Object Reconstruction from a Single Image
Abhishek Kar
Shubham Tulsiani
João Carreira
Jitendra Malik
3DV
65
287
0
22 Nov 2014
High-Dimensional Probability Estimation with Deep Density Models
High-Dimensional Probability Estimation with Deep Density Models
Oren Rippel
Ryan P. Adams
176
124
0
20 Feb 2013
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