Shaoming Li — accepted AI-conference papers

2025

MESC-3D:Mining Effective Semantic Cues for 3D Reconstruction from a Single Image

Shaoming Li, Qing Cai, Songqi Kong, Runqing Tan, Heng Tong, Shiji Qiu +2

CVPR 2025poster

Reconstructing 3D shapes from a single image plays an important role in computer vision. Many methods have been proposed and achieve impressive performance. However, existing methods mainly focus on extracting semantic information from images and then simply concatenating it with 3D point clouds wit…

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2023

Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing

Hao Zhou, Shaoming Li, Guibin Jiang, Jiaqi Zheng, Dong Wang

AAAI 2023technical

Marketing is an important mechanism to increase user engagement and improve platform revenue, and heterogeneous causal learning can help develop more effective strategies. Most decision-making problems in marketing can be formulated as resource allocation problems and have been studied for decades.…

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