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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

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5 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…

cs.CV2023

Expressive Forecasting of 3D Whole-body Human Motions

Pengxiang Ding, Qiongjie Cui, Min Zhang +3

Human motion forecasting, with the goal of estimating future human behavior over a period of time, is a fundamental task in many real-world applications. However, existing works ty…