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Siping Zhuang

1 accepted papers

2025

Language Decoupling with Fine-grained Knowledge Guidance for Referring Multi-object Tracking

ICCV 2025poster

Referring Multi-Object Tracking (RMOT) aims to detect and track specific objects based on natural language expressions. Previous methods typically rely on sentence-level vision-language alignment, often failing to exploit fine-grained linguistic cues that are crucial for distinguishing objects with…