Zhiyin Ma — accepted AI-conference papers

2025

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance

Zhang Li, Biao Yang, Qiang Liu, Shuo Zhang, Zhiyin Ma, Liang Yin +4

ICCV 2025poster

While large multi-modal models (LMMs) demonstrate promising capabilities in segmentation and comprehension, they still struggle with two limitations: inaccurate segmentation and hallucinated comprehension. These challenges stem primarily from constraints in weak visual comprehension and a lack of fi…

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2024

Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models

Zhang Li, Biao Yang, Qiang Liu, Zhiyin Ma, Shuo Zhang, Jingxu Yang +3

CVPR 2024highlight

Large Multimodal Models (LMMs) have shown promise in vision-language tasks but struggle with high-resolution input and detailed scene understanding. Addressing these challenges we introduce Monkey to enhance LMM capabilities. Firstly Monkey processes input images by dividing them into uniform patche…

Cited by 273 Source ↗PDF ↗code ↗Scholar ↗