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Xusheng He

1 accepted papers

2026

Breaking the Regional Perception Bottleneck of Multimodal Large Language Models via External Reasoning Framework

CVPR 2026

High-quality pixel-level responses remain a major bottleneck for multimodal large language models (MLLMs) in regional perception. Existing approaches generally attach regression decoders to MLLM features, achieving strong grounding performance but compromising end-to-end design and increasing traini

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