Shuchang Li — accepted AI-conference papers

2025

CP-DETR: Concept Prompt Guide DETR Toward Stronger Universal Object Detection

Qibo Chen, Weizhong Jin, Jianyue Ge, Mengdi Liu, Yuchao Yan, Jian Jiang +4

AAAI 2025technical

Recent research on universal object detection aims to introduce language in a SoTA closed-set detector and then generalize the open-set concepts by constructing large-scale (text-region) datasets for training. However, these methods face two main challenges: (i) how to efficiently use the prior info…

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2024

Exploration of Visual Prompt in Grounded Pre-Trained Open-Set Detection

Qibo Chen, Weizhong Jin, Shuchang Li, Mengdi Liu, Li Yu, Jian Jiang +1

ICASSP 2024accepted

Text prompts are crucial for generalizing pre-trained open-set object detection models to new categories. However, current methods for text prompts are limited as they require manual feedback when generalizing to new categories, which restricts their ability to model complex scenes, often leading to…

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