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Sibei Yang

7 papers here

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

author position
  • first author5
  • middle author2

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • math.AP2
  • astro-ph.HE1
same name
  • Sibei Yang — 13 papers, h 18
  • Sibei Yang — 12 papers
  • Sibei Yang — 6 papers
  • Sibei Yang — 2 papers

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
20182022
most citedGraph-Structured Referring Expression Reasoning in The Wild

7 citations · 8 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2020★ 7 cited

Graph-Structured Referring Expression Reasoning in The Wild

Sibei Yang, Guanbin Li, Yizhou Yu

Grounding referring expressions aims to locate in an image an object referred to by a natural language expression. The linguistic structure of a referring expression provides a lay…

cs.CV2019

Dynamic Graph Attention for Referring Expression Comprehension

Sibei Yang, Guanbin Li, Yizhou Yu

Referring expression comprehension aims to locate the object instance described by a natural language referring expression in an image. This task is compositional and inherently re…

cs.CV2019

Relationship-Embedded Representation Learning for Grounding Referring Expressions

Sibei Yang, Guanbin Li, Yizhou Yu

Grounding referring expressions in images aims to locate the object instance in an image described by a referring expression. It involves a joint understanding of natural language…

cs.CV2018

Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning

Weifeng Ge, Sibei Yang, Yizhou Yu

Supervised object detection and semantic segmentation require object or even pixel level annotations. When there exist image level labels only, it is challenging for weakly supervi…

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