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Jing Dong

4 papers hereh-index 151.3k citations37 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.RO3
  • cs.CV1
same name
  • Jing Dong — 13 papers
  • Jing Dong — 9 papers, h 13
  • Jing Dong — 8 papers
  • Jing Dong — 4 papers
  • Jing Dong — 4 papers
  • Jing Dong — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172020
most citedTLIO: Tight Learned Inertial Odometry

225 citations · 242 across the 2 of their papers we have counts for

collaborators

4 papers

cs.RO2020★ 225 cited

TLIO: Tight Learned Inertial Odometry

Wenxin Liu, David Caruso, Eddy Ilg +5

In this work we propose a tightly-coupled Extended Kalman Filter framework for IMU-only state estimation. Strap-down IMU measurements provide relative state estimates based on IMU…

cs.CV2018

Learning to Align Images using Weak Geometric Supervision

Jing Dong, Byron Boots, Frank Dellaert +2

Image alignment tasks require accurate pixel correspondences, which are usually recovered by matching local feature descriptors. Such descriptors are often derived using supervised…

cs.RO2018

STEAP: simultaneous trajectory estimation and planning

Mustafa Mukadam, Jing Dong, Frank Dellaert +1

We present a unified probabilistic framework for simultaneous trajectory estimation and planning (STEAP). Estimation and planning problems are usually considered separately, howeve…

cs.RO2017★ 17 cited

Sparse Gaussian Processes for Continuous-Time Trajectory Estimation on Matrix Lie Groups

Jing Dong, Byron Boots, Frank Dellaert

Continuous-time trajectory representations are a powerful tool that can be used to address several issues in many practical simultaneous localization and mapping (SLAM) scenarios,…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.