Pujin Cheng — accepted AI-conference papers

2026

4DEquine: Disentangling Motion and Appearance for 4D Equine Reconstruction from Monocular Video

Jin Lyu, Liang An, Pujin Cheng, Yebin Liu, Xiaoying Tang

CVPR 2026

4D reconstruction of equine family (e.g. horses) from monocular video is important for animal welfare. Previous mainstream 4D animal reconstruction methods require joint optimization of motion and appearance over a whole video, which is time-consuming and sensitive to incomplete observation. In this

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2023

PRIOR: Prototype Representation Joint Learning from Medical Images and Reports

Pujin Cheng, Li Lin, Junyan Lyu, Yijin Huang, Wenhan Luo, Xiaoying Tang

ICCV 2023poster

Contrastive learning based vision-language joint pre-training has emerged as a successful representation learning strategy. In this paper, we present a prototype representation learning framework incorporating both global and local alignment between medical images and reports. In contrast to standar…

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