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researcher

Xin Xiao

Wuhan University

4 papers hereh-index 463 citations8 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CV4
affiliations
  • Wuhan University
same name
  • Xin Xiao — 6 papers, h 1
  • Xin Xiao — 4 papers, h 4
  • Xin Xiao — 2 papers, h 2
  • Xin Xiao — 2 papers, h 0
  • Xin Xiao — 1 paper, h 8
  • Xin Xiao — 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

most citedNot All Pixels Are Equal: Learning Pixel Hardness for Semantic Segmentation

2 citations · 3 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024

World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering

Jiacong Wang, Bohong Wu, Haiyong Jiang +4

Recent advances in Vision-Language Models (VLMs) and the scarcity of high-quality multi-modal alignment data have inspired numerous researches on synthetic VLM data generation. The…

cs.CV2024★ 1 cited

Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment

Xin Xiao, Bohong Wu, Jiacong Wang +3

Existing image-text modality alignment in Vision Language Models (VLMs) treats each text token equally in an autoregressive manner. Despite being simple and effective, this method…

cs.CV2023

Shifted Autoencoders for Point Annotation Restoration in Object Counting

Yuda Zou, Xin Xiao, Peilin Zhou +3

Object counting typically uses 2D point annotations. The complexity of object shapes and the subjectivity of annotators may lead to annotation inconsistency, potentially confusing…

cs.CV2023★ 2 cited

Not All Pixels Are Equal: Learning Pixel Hardness for Semantic Segmentation

Xin Xiao, Daiguo Zhou, Jiagao Hu +2

Semantic segmentation has recently witnessed great progress. Despite the impressive overall results, the segmentation performance in some hard areas (e.g., small objects or thin pa…

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