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researcher

Shaohui Liu

16 papers hereh-index 9371 citations18 works total

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

author position
  • first author3
  • middle author13

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV15
  • cs.RO1
same name
  • Shaohui Liu — 14 papers, h 33
  • Shaohui Liu — 12 papers, h 8
  • Shaohui Liu — 10 papers, h 3
  • Shaohui Liu — 8 papers, h 9
  • Shaohui Liu — 1 paper
  • Shaohui Liu — 1 paper, h 1

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
20222026
most citedNeRFs in Robotics: A Survey

3 citations · 5 across the 13 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023

Handbook on Leveraging Lines for Two-View Relative Pose Estimation

Petr Hruby, Shaohui Liu, Rémi Pautrat +2

We propose an approach for estimating the relative pose between calibrated image pairs by jointly exploiting points, lines, and their coincidences in a hybrid manner. We investigat…

cs.CV2023

Vanishing Point Estimation in Uncalibrated Images with Prior Gravity Direction

Rémi Pautrat, Shaohui Liu, Petr Hruby +2

We tackle the problem of estimating a Manhattan frame, i.e. three orthogonal vanishing points, and the unknown focal length of the camera, leveraging a prior vertical direction. Th…

cs.CV2023★ 1 cited

Lazy Visual Localization via Motion Averaging

Siyan Dong, Shaohui Liu, Hengkai Guo +2

Visual (re)localization is critical for various applications in computer vision and robotics. Its goal is to estimate the 6 degrees of freedom (DoF) camera pose for each query imag…

cs.CV2023★ 1 cited

3D Line Mapping Revisited

Shaohui Liu, Yifan Yu, Rémi Pautrat +2

In contrast to sparse keypoints, a handful of line segments can concisely encode the high-level scene layout, as they often delineate the main structural elements. In addition to o…

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