SPLATNet: Sparse Lattice Networks for Point Cloud Processing

22 February 2018

Hang Su

Ming-Hsuan Yang

Papers citing "SPLATNet: Sparse Lattice Networks for Point Cloud Processing"

28 / 128 papers shown

Title
ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics Zhiyuan Zhang Binh-Son Hua Sai-Kit Yeung 3DPC 21 346 0 17 Aug 2019
Interpolated Convolutional Networks for 3D Point Cloud Understanding Jiageng Mao Xiaogang Wang Hongsheng Li 3DPC 20 215 0 13 Aug 2019
Point Cloud Super Resolution with Adversarial Residual Graph Networks Huikai Wu Junge Zhang Kaiqi Huang 3DPC 11 47 0 06 Aug 2019
Deformable Filter Convolution for Point Cloud Reasoning Yuwen Xiong Mengye Ren Renjie Liao K. Wong R. Urtasun 3DPC 23 17 0 30 Jul 2019
A review on deep learning techniques for 3D sensed data classification David J. Griffiths Jan Boehm 3DPC 3DV 25 165 0 09 Jul 2019
Point-Voxel CNN for Efficient 3D Deep Learning Zhijian Liu Haotian Tang Yujun Lin Song Han 3DPC 29 659 0 08 Jul 2019
Spatial Transformer for 3D Point Clouds Jiayun Wang Rudrasis Chakraborty Stella X. Yu 3DPC 17 14 0 26 Jun 2019
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Clouds Xiuye Gu Yijie Wang Chongruo Wu Yong Jae Lee Panqu Wang 3DPC 19 206 0 12 Jun 2019
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds Bo Yang Jianan Wang R. Clark Qingyong Hu Sen Wang Andrew Markham A. Trigoni 3DPC 25 324 0 04 Jun 2019
Point Clouds Learning with Attention-based Graph Convolution Networks Zhuyang Xie Junzhou Chen B. Peng 3DPC 16 53 0 31 May 2019
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation Arsalan Mousavian Clemens Eppner D. Fox 3DPC 16 558 0 25 May 2019
LSANet: Feature Learning on Point Sets by Local Spatial Aware Layer Lin-Zhuo Chen Xuan-Yi Li Deng-Ping Fan Kai Wang Shao-Ping Lu Ming-Ming Cheng 3DPC 6 34 0 14 May 2019
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering Siheng Chen Chaojing Duan Yaoqing Yang Duanshun Li Chen Feng Dong Tian 3DPC 29 71 0 11 May 2019
Unsupervised Detection of Distinctive Regions on 3D Shapes Xianzhi Li Lequan Yu Chi-Wing Fu Daniel Cohen-Or Pheng-Ann Heng 3DPC 31 19 0 05 May 2019
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks Chris Choy JunYoung Gwak Silvio Savarese 3DPC 14 1,747 0 18 Apr 2019
Deep Surface Normal Estimation with Hierarchical RGB-D Fusion Jin Zeng Yanfeng Tong Yunmu Huang Qiong Yan Wenxiu Sun J. Chen Yongtian Wang 3DH 17 67 0 06 Apr 2019
ConvPoint: Continuous Convolutions for Point Cloud Processing Alexandre Boulch 3DPC 16 239 0 04 Apr 2019
PanopticFusion: Online Volumetric Semantic Mapping at the Level of Stuff and Things Gaku Narita Takashi Seno T. Ishikawa Yohsuke Kaji 3DPC 22 188 0 04 Mar 2019
PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation Fenggen Yu Kun Liu Yan Zhang Chenyang Zhu Kai Xu 3DPC 3DV 20 94 0 02 Mar 2019
3D Scene Reconstruction with Multi-layer Depth and Epipolar Transformers Daeyun Shin Zhile Ren Erik B. Sudderth Charless C. Fowlkes 3DV 19 14 0 18 Feb 2019
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention Yongbin Sun Yue Wang Ziwei Liu J. Siegel Sanjay E. Sarma 3DPC 23 195 0 12 Oct 2018
Point Cloud Colorization Based on Densely Annotated 3D Shape Dataset Xu Cao K. Nagao 3DH 3DPC 8 19 0 12 Oct 2018
3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction From a Single Image Priyanka Mandikal L. NavaneetK. R. Venkatesh Babu 3DPC 3DV 6 43 0 30 Sep 2018
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds Pedro Hermosilla Tobias Ritschel Pere-Pau Vázquez À. Vinacua Timo Ropinski 3DPC 6 257 0 05 Jun 2018
Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds) F. Groh P. Wieschollek Hendrik P. A. Lensch 3DPC 16 107 0 20 Mar 2018
$PointCNN: Convolution On $\mathcal{X}$-Transformed Points$ PointCNN: Convolution On $\mathcal{X}$ -Transformed Points Yangyan Li Rui Bu Mingchao Sun Wei Yu Wu Xinhan Di Baoquan Chen 3DPC 38 2,419 0 23 Jan 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 247 3,236 0 24 Nov 2016