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Xiaolin Qin

4 papers hereh-index 435 citations12 works total

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

author position
  • first author2
  • last author2

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

fields
  • cs.CV3
  • cs.RO1
same name
  • Xiaolin Qin — 11 papers, h 6
  • Xiaolin Qin — 6 papers, h 1
  • Xiaolin Qin — 2 papers, h 3
  • Xiaolin Qin — 2 papers, h 1
  • Xiaolin Qin — 1 paper, h 7
  • Xiaolin Qin — 1 paper, h 7

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
20232026
most citedFourier Boundary Features Network with Wider Catchers for Glass Segmentation

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

Monocular Depth Estimation via Neural Network with Learnable Algebraic Group and Ring Structures

Qianlei Wang, Kexun Chen, Shaolin Zhang +3

Monocular depth estimation (MDE) has witnessed remarkable progress driven by Convolutional Neural Networks and transformer-based architectures. However, these approaches typically…

cs.CV2026

Unconstrained Multi-view Human Pose Estimation with Algebraic Priors

Xiaolin Qin, Qianlei Wang, Jiacen Liu +3

Recovering 3D human pose from multi-view imagery typically relies on precise camera calibration, which is often unavailable in real-world scenarios, thereby severely limiting the a…

cs.CV2024★ 1 cited

Fourier Boundary Features Network with Wider Catchers for Glass Segmentation

Xiaolin Qin, Jiacen Liu, Qianlei Wang +3

Glass largely blurs the boundary between the real world and the reflection. The special transmittance and reflectance quality have confused the semantic tasks related to machine vi…

cs.RO2023

AVM-SLAM: Semantic Visual SLAM with Multi-Sensor Fusion in a Bird's Eye View for Automated Valet Parking

Ye Li, Wenchao Yang, Dekun Lin +3

Accurate localization in challenging garage environments -- marked by poor lighting, sparse textures, repetitive structures, dynamic scenes, and the absence of GPS -- is crucial fo…

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