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Chaoqun Wang

4 papers here

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CV4
same name
  • Chaoqun Wang — 6 papers, h 23
  • Chaoqun Wang — 2 papers
  • Chaoqun Wang — 2 papers
  • Chaoqun Wang — 1 paper
  • Chaoqun Wang — 1 paper
  • Chaoqun Wang — 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 citedDomain-aware Visual Bias Eliminating for Generalized Zero-Shot Learning

19 citations · 21 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2021

Text-Aware Single Image Specular Highlight Removal

Shiyu Hou, Chaoqun Wang, Weize Quan +2

Removing undesirable specular highlight from a single input image is of crucial importance to many computer vision and graphics tasks. Existing methods typically remove specular hi…

cs.CV2021★ 2 cited

Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning

Chaoqun Wang, Xuejin Chen, Shaobo Min +2

Generalized Zero-Shot Learning (GZSL) targets recognizing new categories by learning transferable image representations. Existing methods find that, by aligning image representatio…

cs.CV2020

Scene text removal via cascaded text stroke detection and erasing

Xuewei Bian, Chaoqun Wang, Weize Quan +3

Recent learning-based approaches show promising performance improvement for scene text removal task. However, these methods usually leave some remnants of text and obtain visually…

cs.CV2020★ 19 cited

Domain-aware Visual Bias Eliminating for Generalized Zero-Shot Learning

Shaobo Min, Hantao Yao, Hongtao Xie +3

Recent methods focus on learning a unified semantic-aligned visual representation to transfer knowledge between two domains, while ignoring the effect of semantic-free visual repre…

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