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. 2211.10580
  4. Cited By
Normal Transformer: Extracting Surface Geometry from LiDAR Points Enhanced by Visual Semantics

Normal Transformer: Extracting Surface Geometry from LiDAR Points Enhanced by Visual Semantics

19 November 2022
Ancheng Lin
Jun Yu Li
Yusheng Xiang
Wei Bian
Mukesh Prasad
    3DPC
    ViT
ArXivPDFHTML

Papers citing "Normal Transformer: Extracting Surface Geometry from LiDAR Points Enhanced by Visual Semantics"

3 / 3 papers shown
Title
LiSu: A Dataset and Method for LiDAR Surface Normal Estimation
Dušan Malić
Christian Fruhwirth-Reisinger
Samuel Schulter
Horst Possegger
3DV
50
0
0
11 Mar 2025
Height Change Feature Based Free Space Detection
Height Change Feature Based Free Space Detection
Steven Schreck
H. Reichert
Manuel Hetzel
Konrad Doll
Bernhard Sick
13
1
0
02 Aug 2023
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
219
14,047
0
02 Dec 2016
1