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Yi Zhang

4 papers hereh-index 27 citations4 works total

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

author position
  • middle author1
  • last author3

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

fields
  • cs.CV4
same name
  • Yi Zhang — 41 papers, h 22
  • Yi Zhang — 38 papers
  • Yi Zhang — 35 papers, h 37
  • Yi Zhang — 33 papers, h 9
  • Yi Zhang — 23 papers, h 11
  • Yi Zhang — 22 papers, h 18

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 citedP2HCT: Plug-and-Play Hierarchical C2F Transformer for Multi-Scale Feature Fusion

3 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

Hi-OPD: Hierarchy-Aware Open-Prompt Detection for Remote Sensing Images

Jinlong Hu, Yi Zhang, Zhiqi Xia +2

Hi-OPD addresses a failure mode left uncontrolled by flat open-prompt training: descendant retrieval need not persist under ancestor queries when multi-source remote sensing annota…

cs.CV2026

Scaling Representation Diversity: Modulated Attention and Reconstructive Regularization for Visual Grounding

Junyi Hu, Tian Bai, Fengyi Wu +7

Referring Expression Comprehension (REC) is commonly studied under dataset-specific fine-tuning, resulting in specialist models with limited cross-dataset generalization. In this w…

cs.CV2026

ExpAlign: Expectation-Guided Vision-Language Alignment for Open-Vocabulary Grounding

Junyi Hu, Tian Bai, Fengyi Wu +3

Open-vocabulary grounding requires accurate vision-language alignment under weak supervision, yet existing methods either rely on global sentence embeddings that lack fine-grained…

cs.CV2025★ 3 cited

P2HCT: Plug-and-Play Hierarchical C2F Transformer for Multi-Scale Feature Fusion

Junyi Hu, Tian Bai, Fengyi Wu +2

Feature fusion plays a pivotal role in achieving high performance in vision models, yet existing attention-based fusion techniques often suffer from substantial computational overh…

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