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20222026
most citedTopology-Preserving Segmentation Network: A Deep Learning Segmentation Framework for Connected Component

2 citations · 4 across the 6 of their papers we have counts for

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cs.CV2025

Circular Quasiconformal Deturbulence: Geometry-Based Restoration from Multiple Turbulent Frames

Chu Chen, Han Zhang, Lok Ming Lui

Imaging through inhomogeneous media often results in severe distortions, posing significant challenges to downstream image-processing tasks. The lack of clean paired images makes s…

cs.CV2025

Quasi-Conformal Convolution : A Learnable Convolution for Deep Learning on Simply Connected Open Surfaces

Han Zhang, Tsz Lok Ip, Lok Ming Lui

Deep learning on non-Euclidean domains is important for analyzing complex geometric data that lacks common coordinate systems and familiar Euclidean properties. A central challenge…