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researcher

Xinyi Liu

4 papers hereh-index 16805 citations54 works total

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

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV1
same name
  • Xinyi Liu — 20 papers, h 24
  • Xinyi Liu — 8 papers, h 5
  • Xinyi Liu — 6 papers, h 3
  • Xinyi Liu — 5 papers, h 2
  • Xinyi Liu — 4 papers, h 1
  • Xinyi Liu — 4 papers, 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
20222025
most citedLiDAR-guided Stereo Matching with a Spatial Consistency Constraint

30 citations · 51 across the 4 of their papers we have counts for

collaborators

4 papers

eess.IV2025

StereoINR: Cross-View Geometry Consistent Stereo Super Resolution with Implicit Neural Representation

Yi Liu, Xinyi Liu, Yi Wan +3

Stereo image super-resolution (SSR) aims to enhance high-resolution details by leveraging information from stereo image pairs. However, existing stereo super-resolution (SSR) upsam…

cs.CV2024★ 21 cited

RANSAC Back to SOTA: A Two-stage Consensus Filtering for Real-time 3D Registration

Pengcheng Shi, Shaocheng Yan, Yilin Xiao +3

Correspondence-based point cloud registration (PCR) plays a key role in robotics and computer vision. However, challenges like sensor noises, object occlusions, and descriptor limi…

cs.CV2022

Dark Spot Detection from SAR Images Based on Superpixel Deeper Graph Convolutional Network

Xiaojian Liu, Yansheng Li

Synthetic Aperture Radar (SAR) is the main instrument utilized for the detection of oil slicks on the ocean surface. In SAR images, some areas affected by ocean phenomena, such as…

cs.CV2022★ 30 cited

LiDAR-guided Stereo Matching with a Spatial Consistency Constraint

Yongjun Zhang, Siyuan Zou, Xinyi Liu +3

The complementary fusion of light detection and ranging (LiDAR) data and image data is a promising but challenging task for generating high-precision and high-density point clouds.…

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