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Fangyi Chen

8 papers hereh-index 393 citations8 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.AI4
  • cs.CV4
same name
  • Fangyi Chen — 3 papers, h 4
  • Fangyi Chen — 3 papers, h 5
  • Fangyi Chen — 3 papers, h 3
  • Fangyi Chen — 3 papers, h 2

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
20222026
most citedEnhanced Training of Query-Based Object Detection via Selective Query Recollection

4 citations · 5 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024

A Reference-Based 3D Semantic-Aware Framework for Accurate Local Facial Attribute Editing

Yu-Kai Huang, Yutong Zheng, Yen-Shuo Su +4

Facial attribute editing plays a crucial role in synthesizing realistic faces with specific characteristics while maintaining realistic appearances. Despite advancements, challenge…

cs.CV2024

RTGen: Generating Region-Text Pairs for Open-Vocabulary Object Detection

Fangyi Chen, Han Zhang, Zhantao Yang +3

Open-vocabulary object detection (OVD) requires solid modeling of the region-semantic relationship, which could be learned from massive region-text pairs. However, such data is lim…

cs.CV2022★ 4 cited

Enhanced Training of Query-Based Object Detection via Selective Query Recollection

Fangyi Chen, Han Zhang, Kai Hu +3

This paper investigates a phenomenon where query-based object detectors mispredict at the last decoding stage while predicting correctly at an intermediate stage. We review the tra…

cs.CV2022★ 1 cited

Unitail: Detecting, Reading, and Matching in Retail Scene

Fangyi Chen, Han Zhang, Zaiwang Li +7

To make full use of computer vision technology in stores, it is required to consider the actual needs that fit the characteristics of the retail scene. Pursuing this goal, we intro…

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