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. 1804.09915
  4. Cited By
Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data
  Generation

Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data Generation

26 April 2018
Florian Piewak
Peter Pinggera
Manuel Schäfer
David Peter
Beate Schwarz
N. Schneider
D. Pfeiffer
Markus Enzweiler
Johann Marius Zöllner
    3DPC
ArXivPDFHTML

Papers citing "Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data Generation"

10 / 10 papers shown
Title
OpenAnnotate3D: Open-Vocabulary Auto-Labeling System for Multi-modal 3D
  Data
OpenAnnotate3D: Open-Vocabulary Auto-Labeling System for Multi-modal 3D Data
Yijie Zhou
Likun Cai
Xianhui Cheng
Zhongxue Gan
Xiangyang Xue
Wenchao Ding
3DV
VLM
11
13
0
20 Oct 2023
Survey on LiDAR Perception in Adverse Weather Conditions
Survey on LiDAR Perception in Adverse Weather Conditions
M. Dreissig
Dominik Scheuble
Florian Piewak
Joschka Boedecker
14
31
0
13 Apr 2023
LiSnowNet: Real-time Snow Removal for LiDAR Point Cloud
LiSnowNet: Real-time Snow Removal for LiDAR Point Cloud
Ming-Yuan Yu
Ram Vasudevan
Matthew Johnson-Roberson
3DPC
22
17
0
18 Nov 2022
Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles with
  Label Propagation for Cross-Domain Adaptation
Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles with Label Propagation for Cross-Domain Adaptation
S. Bultmann
Jan Quenzel
Sven Behnke
29
18
0
18 Oct 2022
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and
  Experimental Study
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study
Biao Gao
Yancheng Pan
Chengkun Li
Sibo Geng
Huijing Zhao
3DPC
19
25
0
08 Jun 2020
CNN-based Lidar Point Cloud De-Noising in Adverse Weather
CNN-based Lidar Point Cloud De-Noising in Adverse Weather
Robin Heinzler
Florian Piewak
Philipp Schindler
W. Stork
21
138
0
09 Dec 2019
CNN-based synthesis of realistic high-resolution LiDAR data
CNN-based synthesis of realistic high-resolution LiDAR data
Larissa T. Triess
David Peter
Christoph B. Rist
Markus Enzweiler
Johann Marius Zöllner
3DPC
14
15
0
28 Jun 2019
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Iro Armeni
S. Sax
Amir Zamir
Silvio Savarese
3DV
3DPC
113
875
0
03 Feb 2017
A Random Finite Set Approach for Dynamic Occupancy Grid Maps with
  Real-Time Application
A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application
Dominik Nuss
Stephan Reuter
Markus Thom
Ting Yuan
Gunther Krehl
M. Maile
Axel Gern
Klaus C. J. Dietmayer
61
148
0
09 May 2016
Indoor Semantic Segmentation using depth information
Indoor Semantic Segmentation using depth information
Camille Couprie
C. Farabet
Laurent Najman
Yann LeCun
SSeg
MDE
73
473
0
16 Jan 2013
1