Qizhe Liu — accepted AI-conference papers

2026

Pip-Stereo: Progressive Iterations Pruner for Iterative Optimization based Stereo Matching

Jintu Zheng, Qizhe Liu, Huangxin Xu, Zhuojie Chen

CVPR 2026

While iterative stereo matching achieves high accuracy, its dependence on Recurrent Neural Networks (RNN) hinders edge deployment, a challenge underexplored in existing researches. We analyze iterative refinement and reveal that disparity updates are spatially sparse and temporally redundant. First,

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2024

SparseSSP: 3D Subcellular Structure Prediction from Sparse-View Transmitted Light Images

Jintu Zheng, Yi Ding, Qizhe Liu, Yuehui Chen, Yi Cao, Ying Hu +1

ECCV 2024oral

"Traditional fluorescence staining is phototoxic to live cells, slow, and expensive; thus, the subcellular structure prediction (SSP) from transmitted light (TL) images is emerging as a label-free, faster, low-cost alternative. However, existing approaches utilize 3D networks for one-to-one voxel le…

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