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Efficient Learning on Point Clouds with Basis Point Sets

Efficient Learning on Point Clouds with Basis Point Sets

24 August 2019
Sergey Prokudin
Christoph Lassner
Javier Romero
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Efficient Learning on Point Clouds with Basis Point Sets"

32 / 32 papers shown
Title
How Do I Do That? Synthesizing 3D Hand Motion and Contacts for Everyday Interactions
How Do I Do That? Synthesizing 3D Hand Motion and Contacts for Everyday Interactions
Aditya Prakash
Benjamin Lundell
Dmitry Andreychuk
David Forsyth
Saurabh Gupta
H. Sawhney
135
2
0
16 Apr 2025
Grasping a Handful: Sequential Multi-Object Dexterous Grasp Generation
Grasping a Handful: Sequential Multi-Object Dexterous Grasp Generation
Haofei Lu
Yifei Dong
Zehang Weng
Jens Lundell
Danica Kragic
86
0
0
28 Mar 2025
Interacted Object Grounding in Spatio-Temporal Human-Object Interactions
Interacted Object Grounding in Spatio-Temporal Human-Object Interactions
Xiaoyang Liu
Boran Wen
Xinpeng Liu
Zizheng Zhou
Hongwei Fan
Cewu Lu
Lizhuang Ma
Yulong Chen
Yongqian Li
128
2
0
27 Dec 2024
Implicit Functions in Feature Space for 3D Shape Reconstruction and
  Completion
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
Julian Chibane
Thiemo Alldieck
Gerard Pons-Moll
3DPC
120
497
0
03 Mar 2020
DeepSDF: Learning Continuous Signed Distance Functions for Shape
  Representation
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard Newcombe
S. Lovegrove
3DV
131
3,688
0
16 Jan 2019
Scan2Mesh: From Unstructured Range Scans to 3D Meshes
Scan2Mesh: From Unstructured Range Scans to 3D Meshes
Angela Dai
Matthias Nießner
3DPC
58
98
0
26 Nov 2018
FARM: Functional Automatic Registration Method for 3D Human Bodies
FARM: Functional Automatic Registration Method for 3D Human Bodies
R. Marin
Simone Melzi
Emanuele Rodolà
U. Castellani
3DH
34
73
0
27 Jul 2018
Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional
  Networks
Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional Networks
Kripasindhu Sarkar
Basavaraj Hampiholi
Kiran Varanasi
D. Stricker
3DV
40
33
0
23 Jul 2018
Tangent Convolutions for Dense Prediction in 3D
Tangent Convolutions for Dense Prediction in 3D
Maxim Tatarchenko
Jaesik Park
V. Koltun
Qian-Yi Zhou
3DV3DPCMDE
88
545
0
06 Jul 2018
3D-CODED : 3D Correspondences by Deep Deformation
3D-CODED : 3D Correspondences by Deep Deformation
Thibault Groueix
Matthew Fisher
Vladimir G. Kim
Bryan C. Russell
Mathieu Aubry
3DPC3DV
168
329
0
13 Jun 2018
SO-Net: Self-Organizing Network for Point Cloud Analysis
SO-Net: Self-Organizing Network for Point Cloud Analysis
Jiaxin Li
Ben M. Chen
Gim Hee Lee
3DPC
77
938
0
12 Mar 2018
Spherical CNNs
Spherical CNNs
Taco S. Cohen
Mario Geiger
Jonas Köhler
Max Welling
156
904
0
30 Jan 2018
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Loic Landrieu
M. Simonovsky
GNN3DPC
193
1,253
0
27 Nov 2017
V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and
  Human Pose Estimation from a Single Depth Map
V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map
Gyeongsik Moon
Ju Yong Chang
Kyoung Mu Lee
3DH
92
413
0
20 Nov 2017
Learning SO(3) Equivariant Representations with Spherical CNNs
Learning SO(3) Equivariant Representations with Spherical CNNs
Carlos Esteves
Christine Allen-Blanchette
A. Makadia
Kostas Daniilidis
104
515
0
17 Nov 2017
Shape Generation using Spatially Partitioned Point Clouds
Shape Generation using Spatially Partitioned Point Clouds
Matheus Gadelha
Subhransu Maji
Rui Wang
3DPC
48
12
0
19 Jul 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
351
11,113
0
07 Jun 2017
Submanifold Sparse Convolutional Networks
Submanifold Sparse Convolutional Networks
Benjamin Graham
Laurens van der Maaten
79
467
0
05 Jun 2017
Deep Functional Maps: Structured Prediction for Dense Shape
  Correspondence
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence
Or Litany
Tal Remez
Emanuele Rodolà
A. Bronstein
M. Bronstein
3DPC
149
286
0
27 Apr 2017
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point
  Cloud Models
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models
Roman Klokov
Victor Lempitsky
3DV
74
983
0
04 Apr 2017
OctNetFusion: Learning Depth Fusion from Data
OctNetFusion: Learning Depth Fusion from Data
Gernot Riegler
Ali O. Ulusoy
Horst Bischof
Andreas Geiger
3DPC3DV
73
207
0
04 Apr 2017
Deep Sets
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
408
2,464
0
10 Mar 2017
Learning to Remember Rare Events
Learning to Remember Rare Events
Lukasz Kaiser
Ofir Nachum
Aurko Roy
Samy Bengio
RALMCLL
120
364
0
09 Mar 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
484
14,320
0
02 Dec 2016
Semantic Scene Completion from a Single Depth Image
Semantic Scene Completion from a Single Depth Image
Shuran Song
Feng Yu
Andy Zeng
Angel X. Chang
Manolis Savva
Thomas Funkhouser
3DV
84
1,243
0
28 Nov 2016
OctNet: Learning Deep 3D Representations at High Resolutions
OctNet: Learning Deep 3D Representations at High Resolutions
Gernot Riegler
Ali O. Ulusoy
Andreas Geiger
3DV3DPC
225
1,480
0
15 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
772
36,813
0
25 Aug 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNNAI4CE
433
18,361
0
27 May 2016
Volumetric and Multi-View CNNs for Object Classification on 3D Data
Volumetric and Multi-View CNNs for Object Classification on 3D Data
C. Qi
Hao Su
Matthias Niessner
Angela Dai
Mengyuan Yan
Leonidas Guibas
3DPC3DV
242
1,567
0
12 Apr 2016
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions
Andy Zeng
Shuran Song
Matthias Nießner
Matthew Fisher
Jianxiong Xiao
Thomas Funkhouser
3DV3DPC
81
989
0
27 Mar 2016
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
807
38,961
0
09 Mar 2016
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Hang Su
Subhransu Maji
E. Kalogerakis
Erik Learned-Miller
3DV
160
3,218
0
05 May 2015
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