ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.08755
  4. Cited By
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks

4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks

18 April 2019
Chris Choy
JunYoung Gwak
Silvio Savarese
    3DPC
ArXivPDFHTML

Papers citing "4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks"

14 / 964 papers shown
Title
What You See is What You Get: Exploiting Visibility for 3D Object
  Detection
What You See is What You Get: Exploiting Visibility for 3D Object Detection
Peiyun Hu
Jason Ziglar
David Held
Deva Ramanan
3DPC
24
116
0
10 Dec 2019
Grid-GCN for Fast and Scalable Point Cloud Learning
Grid-GCN for Fast and Scalable Point Cloud Learning
Qiangeng Xu
Xudong Sun
Cho-Ying Wu
Panqu Wang
Ulrich Neumann
3DPC
GNN
31
244
0
06 Dec 2019
Point Cloud Instance Segmentation using Probabilistic Embeddings
Point Cloud Instance Segmentation using Probabilistic Embeddings
Biao Zhang
Peter Wonka
3DPC
19
66
0
30 Nov 2019
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene
  Completion of RGB-D Scans
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans
Angela Dai
Christian Diller
Matthias Nießner
3DPC
3DV
27
140
0
29 Nov 2019
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic
  Segmentation
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
M. Jaritz
Tuan-Hung Vu
Raoul de Charette
É. Wirbel
P. Pérez
3DPC
19
195
0
28 Nov 2019
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
Qingyong Hu
Bo Yang
Linhai Xie
Stefano Rosa
Yulan Guo
Zhihua Wang
A. Trigoni
Andrew Markham
3DPC
24
1,469
0
25 Nov 2019
Iterative Distance-Aware Similarity Matrix Convolution with
  Mutual-Supervised Point Elimination for Efficient Point Cloud Registration
Iterative Distance-Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration
Jiahao Li
Changhao Zhang
Ziyao Xu
Hangning Zhou
Chi Zhang
3DPC
8
2
0
23 Oct 2019
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences
Xingyu Liu
Mengyuan Yan
Jeannette Bohg
3DPC
19
191
0
21 Oct 2019
Decoder Choice Network for Meta-Learning
Decoder Choice Network for Meta-Learning
Jialin Liu
Rongrong Ji
Longzhi Yang
Chih-Min Lin
Q. Shen
26
9
0
25 Sep 2019
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
Huan Lei
Naveed Akhtar
Ajmal Mian
3DPC
30
166
0
20 Sep 2019
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
Benjin Zhu
Zhengkai Jiang
Xiangxin Zhou
Zeming Li
Gang Yu
3DPC
169
484
0
26 Aug 2019
Linking Points With Labels in 3D: A Review of Point Cloud Semantic
  Segmentation
Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation
Yuxing Xie
Jiaojiao Tian
Xiaoxiang Zhu
3DPC
27
206
0
23 Aug 2019
Learning Object Bounding Boxes for 3D Instance Segmentation on Point
  Clouds
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
41
324
0
04 Jun 2019
Inference, Learning and Attention Mechanisms that Exploit and Preserve
  Sparsity in Convolutional Networks
Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in Convolutional Networks
Timo Hackel
Mikhail (Misha) Usvyatsov
S. Galliani
Jan Dirk Wegner
Konrad Schindler
21
14
0
31 Jan 2018
Previous
123...181920