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. 2312.06733
  4. Cited By
TULIP: Transformer for Upsampling of LiDAR Point Clouds

TULIP: Transformer for Upsampling of LiDAR Point Clouds

11 December 2023
Bin Yang
Patrick Pfreundschuh
Roland Siegwart
Marco Hutter
Peyman Moghadam
Vaishakh Patil
    3DPC
ArXivPDFHTML

Papers citing "TULIP: Transformer for Upsampling of LiDAR Point Clouds"

9 / 9 papers shown
Title
Super-Resolution Neural Operator
Super-Resolution Neural Operator
Min Wei
Xuesong Zhang
SupR
25
40
0
05 Mar 2023
Panoramic Vision Transformer for Saliency Detection in 360° Videos
Panoramic Vision Transformer for Saliency Detection in 360° Videos
Heeseung Yun
Se-Ho Lee
Gunhee Kim
ViT
MDE
24
17
0
19 Sep 2022
Dynamic Spatial Propagation Network for Depth Completion
Dynamic Spatial Propagation Network for Depth Completion
Y. Lin
T. Cheng
Qianglong Zhong
Wending Zhou
Huanhuan Yang
42
115
0
20 Feb 2022
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
PENet: Towards Precise and Efficient Image Guided Depth Completion
PENet: Towards Precise and Efficient Image Guided Depth Completion
Mu Hu
Shuling Wang
Bin Li
Shiyu Ning
Li Fan
Xiaojin Gong
MDE
93
270
0
01 Mar 2021
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
177
5,138
0
16 Sep 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
243
9,042
0
06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
226
74,467
0
18 May 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
1