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Robustness Meets Deep Learning: An End-to-End Hybrid Pipeline for
  Unsupervised Learning of Egomotion

Robustness Meets Deep Learning: An End-to-End Hybrid Pipeline for Unsupervised Learning of Egomotion

20 December 2018
A. Z. Zhu
Wenxin Liu
Ziyun Wang
Vijay Kumar
Kostas Daniilidis
ArXivPDFHTML

Papers citing "Robustness Meets Deep Learning: An End-to-End Hybrid Pipeline for Unsupervised Learning of Egomotion"

6 / 6 papers shown
Title
Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point
  Cloud Saliency Transfer
Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency Transfer
Guanqun Ding
Nevrez Imamoglu
Ali Caglayan
M. Murakawa
Ryosuke Nakamura
3DPC
36
0
0
28 Aug 2023
Self-Supervised Multi-Frame Monocular Scene Flow
Self-Supervised Multi-Frame Monocular Scene Flow
Junhwa Hur
Stefan Roth
MDE
24
48
0
05 May 2021
Self-supervised Visual-LiDAR Odometry with Flip Consistency
Self-supervised Visual-LiDAR Odometry with Flip Consistency
Bin Li
Mu Hu
Shuling Wang
Liang Wang
Xiaojin Gong
SSL
MDE
38
23
0
05 Jan 2021
Self-supervised Learning of LiDAR Odometry for Robotic Applications
Self-supervised Learning of LiDAR Odometry for Robotic Applications
Julian Nubert
Shehryar Khattak
Marco Hutter
SSL
26
38
0
10 Nov 2020
Self-Supervised Deep Pose Corrections for Robust Visual Odometry
Self-Supervised Deep Pose Corrections for Robust Visual Odometry
Brandon Wagstaff
Valentin Peretroukhin
Jonathan Kelly
SSL
27
25
0
27 Feb 2020
DeepLO: Geometry-Aware Deep LiDAR Odometry
DeepLO: Geometry-Aware Deep LiDAR Odometry
Young Cho
Giseop Kim
Ayoung Kim
21
34
0
27 Feb 2019
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