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. 1811.01571
  4. Cited By
SPNet: Deep 3D Object Classification and Retrieval using Stereographic
  Projection

SPNet: Deep 3D Object Classification and Retrieval using Stereographic Projection

5 November 2018
Mohsen Yavartanoo
Euyoung Kim
Kyoung Mu Lee
    3DPC
ArXivPDFHTML

Papers citing "SPNet: Deep 3D Object Classification and Retrieval using Stereographic Projection"

7 / 7 papers shown
Title
SL3D: Self-supervised-Self-labeled 3D Recognition
SL3D: Self-supervised-Self-labeled 3D Recognition
Fernando Julio Cendra
Lan Ma
Jiajun Shen
Xiaojuan Qi
3DPC
47
3
0
30 Oct 2022
PolyNet: Polynomial Neural Network for 3D Shape Recognition with
  PolyShape Representation
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation
Mohsen Yavartanoo
Shih-Hsuan Hung
Reyhaneh Neshatavar
Yue Zhang
Kyoung Mu Lee
19
15
0
15 Oct 2021
Circular-Symmetric Correlation Layer based on FFT
Circular-Symmetric Correlation Layer based on FFT
Bahar Azari
Deniz Erdogmus
36
1
0
26 Jul 2021
PointManifold: Using Manifold Learning for Point Cloud Classification
PointManifold: Using Manifold Learning for Point Cloud Classification
Dinghao Yang
Wei Gao
3DPC
31
4
0
14 Oct 2020
Point2SpatialCapsule: Aggregating Features and Spatial Relationships of
  Local Regions on Point Clouds using Spatial-aware Capsules
Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds using Spatial-aware Capsules
Xin Wen
Zhizhong Han
Xinhai Liu
Yu-Shen Liu
3DPC
21
38
0
29 Aug 2019
Revisiting Point Cloud Classification: A New Benchmark Dataset and
  Classification Model on Real-World Data
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data
Mikaela Angelina Uy
Quang Pham
Binh-Son Hua
D. Nguyen
Sai-Kit Yeung
3DV
3DPC
40
763
0
13 Aug 2019
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
191
1,942
0
24 Oct 2016
1