Guangquan Jie — accepted AI-conference papers

2025

ReferSplat: Referring Segmentation in 3D Gaussian Splatting

Shuting He, Guangquan Jie, Changshuo Wang, Yun Zhou, Shuming Hu, Guanbin Li +1

ICML 2025oral

We introduce Referring 3D Gaussian Splatting Segmentation (R3DGS), a new task that aims to segment target objects in a 3D Gaussian scene based on natural language descriptions, which often contain spatial relationships or object attributes. This task requires the model to identify newly described o…

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2025

Towards Omnimodal Expressions and Reasoning in Referring Audio-Visual Segmentation

Kaining Ying, Henghui Ding, Guangquan Jie, Yu-Gang Jiang

ICCV 2025poster

Referring audio-visual segmentation (RAVS) has recently seen significant advancements, yet challenges remain in integrating multimodal information and deeply understanding and reasoning about audiovisual content. To extend the boundaries of RAVS and facilitate future research in this field, we propo…

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