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Zhiqiang Shen

4 papers hereh-index 221 citations4 works total

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

author position
  • middle author1
  • last author2

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

fields
  • cs.CV3
  • cs.LG1
same name
  • Zhiqiang Shen — 52 papers, h 33
  • Zhiqiang Shen — 31 papers, h 16
  • Zhiqiang Shen — 17 papers, h 5
  • Zhiqiang Shen — 14 papers, h 9
  • Zhiqiang Shen — 12 papers, h 3
  • Zhiqiang Shen — 10 papers, h 5

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
20242026
most citedLFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2026

ActiveSAM: Image-Conditional Class Pruning for Fast and Accurate Open-Vocabulary Segmentation

Tran Dinh Tien, Zhiqiang Shen

Segment Anything Model 3 (SAM 3) provides a strong frozen backbone for concept-prompted segmentation, but applying it directly to open-vocabulary semantic segmentation (OVSS) is in…

cs.CV2025

One Last Attention for Your Vision-Language Model

Liang Chen, Ghazi Shazan Ahmad, Tianjun Yao +2

Pretrained vision-language models (VLMs), such as CLIP, achieve remarkable zero-shot performance, yet their downstream potential hinges on effective fine-tuning. Most adaptation me…

cs.CV2025

VideoMolmo: Spatio-Temporal Grounding Meets Pointing

Ghazi Shazan Ahmad, Ahmed Heakl, Hanan Gani +4

Spatio-temporal localization is vital for precise interactions across diverse domains, from biological research to autonomous navigation and interactive interfaces. Current video-b…

cs.LG2024★ 1 cited

LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization

Liang Chen, Yong Zhang, Yibing Song +2

Domain generalization (DG) methods aim to maintain good performance in an unseen target domain by using training data from multiple source domains. While success on certain occasio…

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