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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 2026Show all

4 papers · 1 filter

cs.CV2026

Pixel-wise Planarity for High-Precision Monocular Plane Segmentation

Ahmetcan Yavuz, Alpay Ozkan, Rémi Pautrat +2

Plane segmentation from a single RGB image remains challenging due to imprecise region grouping and geometrically inconsistent supervision, often leading to over-segmentation and f…

cs.CV2026

Stable and Scalable Bundle Adjustment of Holistic 3D Structures

Shaohui Liu, Rémi Pautrat, Daniel Barath +3

Bundle Adjustment (BA) is a cornerstone of 3D computer vision and has benefited from decades of advances in sparse optimization and numerical methods. It was originally developed f…

cs.CV2026

Unified and Efficient Point-Line Local Features

François Costa, Raphael Kreft, Eckhard Goedeke +6

Multi-view computer vision pipelines typically rely on accurate sparse keypoints and robust descriptors. While incorporating line features has shown clear benefits for matching and…

cs.CV2026

PolyLayout: Multi-room Manhattan Layout Estimation

Gustav Hanning, Shaohui Liu, Rémi Pautrat +3

Estimating room layouts from multi-view imagery is a core task for indoor scene understanding. Existing methods are typically limited either by poor generalization to new datasets…

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