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. 2009.11154
  4. Cited By
2D-3D Geometric Fusion Network using Multi-Neighbourhood Graph
  Convolution for RGB-D Indoor Scene Classification

2D-3D Geometric Fusion Network using Multi-Neighbourhood Graph Convolution for RGB-D Indoor Scene Classification

23 September 2020
Albert Mosella-Montoro
Javier Ruiz-Hidalgo
    3DPC
    MDE
ArXivPDFHTML

Papers citing "2D-3D Geometric Fusion Network using Multi-Neighbourhood Graph Convolution for RGB-D Indoor Scene Classification"

9 / 9 papers shown
Title
PlaneSAM: Multimodal Plane Instance Segmentation Using the Segment
  Anything Model
PlaneSAM: Multimodal Plane Instance Segmentation Using the Segment Anything Model
Zhongchen Deng
Zhechen Yang
Chi Chen
Cheng Zeng
Yan Meng
Bisheng Yang
17
1
0
21 Oct 2024
Indoor scene recognition from images under visual corruptions
Indoor scene recognition from images under visual corruptions
Willams de Lima Costa
Raul Ismayilov
Nicola Strisciuglio
Estefania Talavera Martinez
51
1
0
23 Aug 2024
Exploiting Object-based and Segmentation-based Semantic Features for
  Deep Learning-based Indoor Scene Classification
Exploiting Object-based and Segmentation-based Semantic Features for Deep Learning-based Indoor Scene Classification
Ricardo Pereira
L. Garrote
T. Barros
Ana Lopes
U. J. Nunes
23
1
0
11 Apr 2024
A Concise but High-performing Network for Image Guided Depth Completion
  in Autonomous Driving
A Concise but High-performing Network for Image Guided Depth Completion in Autonomous Driving
Moyun Liu
Bing Chen
Youping Chen
Jingming Xie
Lei Yao
Yang Zhang
Qiufeng Wang
3DV
28
0
0
29 Jan 2024
A Deep Learning-based Global and Segmentation-based Semantic Feature
  Fusion Approach for Indoor Scene Classification
A Deep Learning-based Global and Segmentation-based Semantic Feature Fusion Approach for Indoor Scene Classification
Ricardo Pereira
T. Barros
L. Garrote
Ana Lopes
U. J. Nunes
9
8
0
13 Feb 2023
Learnable Graph Convolutional Network and Feature Fusion for Multi-view
  Learning
Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning
Zhaoliang Chen
Lele Fu
J. Yao
Wenzhong Guo
Claudia Plant
Shiping Wang
30
117
0
16 Nov 2022
SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning
  Prediction of Synthetic Characters
SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic Characters
Albert Mosella-Montoro
Javier Ruiz-Hidalgo
3DH
37
12
0
09 Mar 2022
When CNNs Meet Random RNNs: Towards Multi-Level Analysis for RGB-D
  Object and Scene Recognition
When CNNs Meet Random RNNs: Towards Multi-Level Analysis for RGB-D Object and Scene Recognition
Ali Caglayan
Nevrez Imamoglu
Ahmet Burak Can
Ryosuke Nakamura
31
28
0
26 Apr 2020
Multi-view PointNet for 3D Scene Understanding
Multi-view PointNet for 3D Scene Understanding
M. Jaritz
Jiayuan Gu
Hao Su
3DPC
149
160
0
30 Sep 2019
1