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Xinru Zhang

8 papers hereh-index 7180 citations17 works total

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

author position
  • first author3
  • middle author5

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

fields
  • cs.CV4
  • eess.IV4
same name
  • Xinru Zhang — 2 papers, h 1
  • Xinru Zhang — 1 paper, h 1
  • Xinru Zhang — 1 paper, h 0
  • Xinru Zhang — 1 paper

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
20212026
most citedCarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation

23 citations · 25 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Native-Domain Cross-Attention for Camera-LiDAR Extrinsic Calibration Under Large Initial Perturbations

Ni Ou, Zhuo Chen, Xinru Zhang +1

Accurate camera-LiDAR fusion relies on precise extrinsic calibration, which fundamentally depends on establishing reliable cross-modal correspondences under potentially large misal…

cs.CV2025

Iterative Camera-LiDAR Extrinsic Optimization via Surrogate Diffusion

Ni Ou, Zhuo Chen, Xinru Zhang +1

Cameras and LiDAR are essential sensors for autonomous vehicles. The fusion of camera and LiDAR data addresses the limitations of individual sensors but relies on precise extrinsic…

cs.CV2024

Iterative Camera-LiDAR Extrinsic Optimization via Surrogate Diffusion

Ni Ou, Zhuo Chen, Xinru Zhang +1

Cameras and LiDAR are essential sensors for autonomous vehicles. Camera-LiDAR data fusion compensate for deficiencies of stand-alone sensors but relies on precise extrinsic calibra…

cs.CV2023★ 1 cited

Unsupervised Brain Tumor Segmentation with Image-based Prompts

Xinru Zhang, Ni Ou, Chenghao Liu +3

Automated brain tumor segmentation based on deep learning (DL) has achieved promising performance. However, it generally relies on annotated images for model training, which is not…

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