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07/18/2023
Connections between Operator-splitting Methods and Deep Neural Networks with Applications in Image Segmentation
Deep neural network is a powerful tool for many tasks. Understanding why...
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07/18/2023
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks
For problems in image processing and many other fields, a large class of...
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01/27/2023
Dual-View Selective Instance Segmentation Network for Unstained Live Adherent Cells in Differential Interference Contrast Images
Despite recent advances in data-independent and deep-learning algorithms...
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09/29/2022
Spherical Image Inpainting with Frame Transformation and Data-driven Prior Deep Networks
Spherical image processing has been widely applied in many important fie...
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05/25/2020
Deep Tensor CCA for Multi-view Learning
We present Deep Tensor Canonical Correlation Analysis (DTCCA), a method ...
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12/04/2019
Large-Scale Semi-Supervised Learning via Graph Structure Learning over High-Dense Points
We focus on developing a novel scalable graph-based semi-supervised lear...
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10/10/2019
Dynamic Spectral Residual Superpixels
We consider the problem of segmenting an image into superpixels in the c...
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05/21/2019
A Two-stage Classification Method for High-dimensional Data and Point Clouds
High-dimensional data classification is a fundamental task in machine le...
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09/27/2018
Novel Sparse Recovery Algorithms for 3D Debris Localization using Rotating Point Spread Function Imagery
An optical imager that exploits off-center image rotation to encode both...
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07/26/2018
Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation
The piecewise constant Mumford-Shah (PCMS) model and the Rudin-Osher-Fat...
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05/30/2015
A Three-stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT)
In this paper, we propose a SLaT (Smoothing, Lifting and Thresholding) m...
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08/13/2011
