Guided Filtering: Toward Edge-Preserving for Optical Flow. - Congxuan Zhang; Liyue Ge; Zhen Chen 004; Renzhi Qin; Ming Li 056; Wen Liu 004 (IEEE Access, 2018)

Edge-Preserving Stereo Matching Using Minimum Spanning Tree. - Congxuan Zhang; Chao He; Zhen Chen 004; Wen Liu 004; Ming Li 056; Junjie Wu 005 (IEEE Access, 2019)

STDC-Flow: large displacement flow field estimation using similarity transformation-based dense correspondence. - Congxuan Zhang; Zhen Chen 004; Fan Xiong; Wen Liu 004; Ming Li 056; Liyue Ge (IET Comput. Vis., 2020)

Refined TV-L1 Optical Flow Estimation Using Joint Filtering. - Congxuan Zhang; Liyue Ge; Zhen Chen 004; Ming Li 056; Wen Liu 004; Hao Chen 060 (IEEE Trans. Multim., 2020)

Dense-CNN: Dense convolutional neural network for stereo matching using multiscale feature connection. - Congxuan Zhang; Junjie Wu 005; Zhen Chen 004; Wen Liu 004; Ming Li 056; Shaofeng Jiang (Signal Process. Image Commun., 2021)