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Haokun Wen

Harbin Institute of Technology (Shenzhen)

17 papers hereh-index 16746 citations30 works total

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

author position
  • first author5
  • middle author10

Across the 15 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • cs.MM4
  • cs.CL1
  • cs.IR1
affiliations
  • Harbin Institute of Technology (Shenzhen)

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedTarget-Guided Composed Image Retrieval

53 citations · 141 across the 14 of their papers we have counts for

collaborators
Showing cs.MMShow all

4 papers · 1 filter

cs.MM2025★ 1 cited

A Comprehensive Survey on Composed Image Retrieval

Xuemeng Song, Haoqiang Lin, Haokun Wen +3

Composed Image Retrieval (CIR) is an emerging yet challenging task that allows users to search for target images using a multimodal query, comprising a reference image and a modifi…

cs.MM2024★ 30 cited

Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval

Haokun Wen, Xuemeng Song, Xiaolin Chen +3

Composed image retrieval (CIR) aims to retrieve the target image based on a multimodal query, i.e., a reference image paired with corresponding modification text. Recent CIR studie…

cs.MM2023★ 53 cited

Target-Guided Composed Image Retrieval

Haokun Wen, Xian Zhang, Xuemeng Song +2

Composed image retrieval (CIR) is a new and flexible image retrieval paradigm, which can retrieve the target image for a multimodal query, including a reference image and its corre…

cs.MM2023★ 28 cited

Self-Training Boosted Multi-Factor Matching Network for Composed Image Retrieval

Haokun Wen, Xuemeng Song, Jianhua Yin +3

The composed image retrieval (CIR) task aims to retrieve the desired target image for a given multimodal query, i.e., a reference image with its corresponding modification text. Th…

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