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Min Zhang

6 papers hereh-index 5320 citations7 works total

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

author position
  • middle author6

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.RO1
same name
  • Min Zhang — 49 papers, h 11
  • Min Zhang — 32 papers, h 11
  • Min Zhang — 27 papers, h 7
  • Min Zhang — 25 papers, h 6
  • Min Zhang — 24 papers, h 26
  • Min Zhang — 23 papers, h 9

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
20232025
most citedCobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference

6 citations · 8 across the 6 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

ProFD: Prompt-Guided Feature Disentangling for Occluded Person Re-Identification

Can Cui, Siteng Huang, Wenxuan Song +3

To address the occlusion issues in person Re-Identification (ReID) tasks, many methods have been proposed to extract part features by introducing external spatial information. Howe…

cs.CV2024

Focus-Consistent Multi-Level Aggregation for Compositional Zero-Shot Learning

Fengyuan Dai, Siteng Huang, Min Zhang +2

To transfer knowledge from seen attribute-object compositions to recognize unseen ones, recent compositional zero-shot learning (CZSL) methods mainly discuss the optimal classifica…

cs.CV2024★ 6 cited

Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference

Han Zhao, Min Zhang, Wei Zhao +3

In recent years, the application of multimodal large language models (MLLM) in various fields has achieved remarkable success. However, as the foundation model for many downstream…

cs.CV2024★ 2 cited

Prompt-based Distribution Alignment for Unsupervised Domain Adaptation

Shuanghao Bai, Min Zhang, Wanqi Zhou +4

Recently, despite the unprecedented success of large pre-trained visual-language models (VLMs) on a wide range of downstream tasks, the real-world unsupervised domain adaptation (U…

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