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. 2201.06037
  4. Cited By
Pursuing 3D Scene Structures with Optical Satellite Images from Affine
  Reconstruction to Euclidean Reconstruction

Pursuing 3D Scene Structures with Optical Satellite Images from Affine Reconstruction to Euclidean Reconstruction

16 January 2022
Pinhe Wang
Limin Shi
Bao Chen
Zhanyi Hu
Qiulei Dong
Jianzhong Qiao
ArXivPDFHTML

Papers citing "Pursuing 3D Scene Structures with Optical Satellite Images from Affine Reconstruction to Euclidean Reconstruction"

2 / 2 papers shown
Title
SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-based
  3D Object Detection
SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-based 3D Object Detection
Lin Liu
Ziying Song
Qiming Xia
Feiyang Jia
Caiyan Jia
Lei Yang
Hongyu Pan
3DPC
58
6
0
16 Jun 2024
VoxelNextFusion: A Simple, Unified and Effective Voxel Fusion Framework for Multi-Modal 3D Object Detection
VoxelNextFusion: A Simple, Unified and Effective Voxel Fusion Framework for Multi-Modal 3D Object Detection
Ziying Song
Guoxin Zhang
Jun Xie
Lin Liu
Caiyan Jia
Shaoqing Xu
Zhepeng Wang
3DPC
38
19
0
05 Jan 2024
1