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Cong Liu

4 papers hereh-index 478 citations7 works total

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Cong Liu — 12 papers, h 15
  • Cong Liu — 11 papers, h 8
  • Cong Liu — 8 papers, h 3
  • Cong Liu — 7 papers, h 4
  • Cong Liu — 7 papers, h 4
  • Cong Liu — 6 papers, h 25

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 citedCross-modulated Attention Transformer for RGBT Tracking

1 citations · 1 across the 1 of their papers we have counts for

collaborators

4 papers

cs.CV2024★ 1 cited

Cross-modulated Attention Transformer for RGBT Tracking

Yun Xiao, Jiacong Zhao, Andong Lu +4

Existing Transformer-based RGBT trackers achieve remarkable performance benefits by leveraging self-attention to extract uni-modal features and cross-attention to enhance multi-mod…

cs.CV2023

Exploring Part-Informed Visual-Language Learning for Person Re-Identification

Yin Lin, Yehansen Chen, Baocai Yin +4

Recently, visual-language learning (VLL) has shown great potential in enhancing visual-based person re-identification (ReID). Existing VLL-based ReID methods typically focus on ima…

cs.CV2023

Weakly Supervised Scene Text Generation for Low-resource Languages

Yangchen Xie, Xinyuan Chen, Hongjian Zhan +4

A large number of annotated training images is crucial for training successful scene text recognition models. However, collecting sufficient datasets can be a labor-intensive and c…

cs.CV2023

VGTS: Visually Guided Text Spotting for Novel Categories in Historical Manuscripts

Wenbo Hu, Hongjian Zhan, Xinchen Ma +3

In the field of historical manuscript research, scholars frequently encounter novel symbols in ancient texts, investing considerable effort in their identification and documentatio…

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