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Yanyan Li

8 papers hereh-index 8426 citations13 works total

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

author position
  • first author4
  • middle author4

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.RO4
same name
  • Yanyan Li — 71 papers, h 54
  • Yanyan Li — 8 papers, h 4
  • Yanyan Li — 7 papers, h 5
  • Yanyan Li — 5 papers, h 4
  • Yanyan Li — 4 papers, h 3
  • Yanyan Li — 3 papers, h 3

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
20202023
most citedCo-Planar Parametrization for Stereo-SLAM and Visual-Inertial Odometry

32 citations · 40 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2022

E-Graph: Minimal Solution for Rigid Rotation with Extensibility Graphs

Yanyan Li, Federico Tombari

Minimal solutions for relative rotation and translation estimation tasks have been explored in different scenarios, typically relying on the so-called co-visibility graph. However,…

cs.CV2021★ 1 cited

Semantic Dense Reconstruction with Consistent Scene Segments

Yingcai Wan, Yanyan Li, Yingxuan You +3

In this paper, a method for dense semantic 3D scene reconstruction from an RGB-D sequence is proposed to solve high-level scene understanding tasks. First, each RGB-D pair is consi…

cs.CV2021★ 2 cited

SRH-Net: Stacked Recurrent Hourglass Network for Stereo Matching

Hongzhi Du, Yanyan Li, Yanbiao Sun +2

The cost aggregation strategy shows a crucial role in learning-based stereo matching tasks, where 3D convolutional filters obtain state of the art but require intensive computation…

cs.CV2021

ManhattanSLAM: Robust Planar Tracking and Mapping Leveraging Mixture of Manhattan Frames

Raza Yunus, Yanyan Li, Federico Tombari

In this paper, a robust RGB-D SLAM system is proposed to utilize the structural information in indoor scenes, allowing for accurate tracking and efficient dense mapping on a CPU. P…

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