87 citations · 437 across the 38 of their papers we have counts for
10 papers · 1 filter
Learning Task-Aware Sampling with Shared Saliency through Density-Equalizing Mappings
Tsz Lok Ip, Han Zhang, Lok Ming Lui
In image and surface-based learning tasks, convolutional features are typically extracted using receptive fields that are sampled uniformly across the entire domain. However, infor…
Resolution-free neural surrogates for geometric parameterization and mapping with spatially varying fields
Yanwen Huang, Lok Ming Lui, Gary P. T. Choi
Many imaging problems require computing spatial transformations induced by spatially varying intensity, feature, or density fields. Canonical examples include distortion correction…
Shape Prior Segmentation Guided by Harmonic Beltrami Signature
Chenran Lin, Lok Ming Lui
This paper presents a novel shape prior segmentation method guided by the Harmonic Beltrami Signature (HBS). The HBS is a shape representation fully capturing 2D simply connected s…
A deep neural network framework for dynamic multi-valued mapping estimation and its applications
Geng Li, Di Qiu, Lok Ming Lui
This paper addresses the problem of modeling and estimating dynamic multi-valued mappings. While most mathematical models provide a unique solution for a given input, real-world ap…
QIS : Interactive Segmentation via Quasi-Conformal Mappings
Han Zhang, Daoping Zhang, Lok Ming Lui
Image segmentation plays a crucial role in extracting important objects of interest from images, enabling various applications. While existing methods have shown success in segment…
Enhancing Facial Classification and Recognition using 3D Facial Models and Deep Learning
Houting Li, Mengxuan Dong, Lok Ming Lui
Accurate analysis and classification of facial attributes are essential in various applications, from human-computer interaction to security systems. In this work, a novel approach…
Deformation-Invariant Neural Network and Its Applications in Distorted Image Restoration and Analysis
Han Zhang, Qiguang Chen, Lok Ming Lui
Images degraded by geometric distortions pose a significant challenge to imaging and computer vision tasks such as object recognition. Deep learning-based imaging models usually fa…
Topology-Preserving 3D Image Segmentation Based On Hyperelastic Regularization
Daoping Zhang, Lok Ming Lui
Image segmentation is to extract meaningful objects from a given image. For degraded images due to occlusions, obscurities or noises, the accuracy of the segmentation result can be…
Harmonic Beltrami Signature: A Novel 2D Shape Representation for Object Classification
Chenran Lin, Lok Ming Lui
There is a growing interest in shape analysis in recent years. We present a novel shape signature for 2D bounded simply-connected domains, named the Harmonic Beltrami signature (HB…
Quasiconformal model with CNN features for large deformation image registration
Ho Law, Gary P. T. Choi, Ka Chun Lam +1
Image registration has been widely studied over the past several decades, with numerous applications in science, engineering and medicine. Most of the conventional mathematical mod…