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. 2008.01068
  4. Cited By
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance
  Discrimination

Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination

3 August 2020
Peng-Shuai Wang
Yuqi Yang
Qian-Fang Zou
Zhirong Wu
Yang Liu
Xin Tong
    3DPC
ArXivPDFHTML

Papers citing "Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination"

15 / 15 papers shown
Title
Oriented-grid Encoder for 3D Implicit Representations
Oriented-grid Encoder for 3D Implicit Representations
Arihant Gaur
Goncalo Dias Pais
Pedro Miraldo
22
0
0
09 Feb 2024
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud
  Pretraining
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining
Siming Yan
Yu-Qi Yang
Yu-Xiao Guo
Hao Pan
Peng-shuai Wang
Xin Tong
Yang Liu
Qi-Xing Huang
3DPC
29
15
0
14 Apr 2023
PointCMC: Cross-Modal Multi-Scale Correspondences Learning for Point Cloud Understanding
Honggu Zhou
Xiaogang Peng
Jiawei Mao
Zizhao Wu
Ming Zeng
3DPC
6
3
0
22 Nov 2022
SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid
  Shape Correspondence
SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence
Lei Li
Souhaib Attaiki
M. Ovsjanikov
19
8
0
16 Sep 2022
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D
  Segmentation
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation
Gopal Sharma
K. Yin
Subhransu Maji
E. Kalogerakis
Litany
Sanja Fidler
3DV
3DPC
19
12
0
18 Aug 2022
POS-BERT: Point Cloud One-Stage BERT Pre-Training
POS-BERT: Point Cloud One-Stage BERT Pre-Training
Kexue Fu
Peng Gao
Shaolei Liu
Renrui Zhang
Yu Qiao
Manning Wang
3DPC
22
18
0
03 Apr 2022
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
Corentin Sautier
Gilles Puy
Spyros Gidaris
Alexandre Boulch
Andrei Bursuc
Renaud Marlet
3DPC
15
117
0
30 Mar 2022
Upsampling Autoencoder for Self-Supervised Point Cloud Learning
Upsampling Autoencoder for Self-Supervised Point Cloud Learning
Cheng Zhang
Jian Shi
X. Deng
Zizhao Wu
3DPC
27
8
0
21 Mar 2022
Data Efficient 3D Learner via Knowledge Transferred from 2D Model
Data Efficient 3D Learner via Knowledge Transferred from 2D Model
Ping Yu
Cheng Sun
Min Sun
3DPC
20
11
0
16 Mar 2022
Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks
Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks
Yu-Qi Yang
Peng-Shuai Wang
Yang Liu
3DPC
22
2
0
16 Aug 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud
  Understanding
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Saining Xie
Jiatao Gu
Demi Guo
C. Qi
Leonidas J. Guibas
Or Litany
3DPC
139
621
0
21 Jul 2020
Unsupervised Multi-Task Feature Learning on Point Clouds
Unsupervised Multi-Task Feature Learning on Point Clouds
Kaveh Hassani
Mike Haley
SSL
3DPC
109
193
0
18 Oct 2019
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional
  Filters
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV
3DPC
150
768
0
30 Mar 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
234
1,811
0
25 Nov 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
166
1,940
0
24 Oct 2016
1