Jiangyan Feng — accepted AI-conference papers

2025

Re-Aligning Language to Visual Objects with an Agentic Workflow

Yuming Chen, Jiangyan Feng, Haodong Zhang, Lijun GONG, Feng Zhu, Rui Zhao +3

ICLR 2025poster

Language-based object detection (LOD) aims to align visual objects with language expressions. A large amount of paired data is utilized to improve LOD model generalizations. During the training process, recent studies leverage vision-language models (VLMs) to automatically generate human-like expres…

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2024

InstructDET: Diversifying Referring Object Detection with Generalized Instructions

Ronghao Dang, Jiangyan Feng, Haodong Zhang, Chongjian GE, Lin Song, Lijun GONG +5

ICLR 2024poster

We propose InstructDET, a data-centric method for referring object detection (ROD) that localizes target objects based on user instructions. While deriving from referring expressions (REC), the instructions we leverage are greatly diversified to encompass common user intentions related to object det…

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