b'Hua Li'

research

∙ 09/19/2023

Assessing the capacity of a denoising diffusion probabilistic model to reproduce spatial context

Diffusion models have emerged as a popular family of deep generative mod...

0 Rucha Deshpande, et al. ∙

research

∙ 08/08/2023

Spectrally-Corrected and Regularized Global Minimum Variance Portfolio for Spiked Model

Considering the shortcomings of the traditional sample covariance matrix...

0 Hua Li, et al. ∙

research

∙ 07/11/2023

Compact Twice Fusion Network for Edge Detection

The significance of multi-scale features has been gradually recognized b...

0 Yachuan Li, et al. ∙

research

∙ 05/19/2023

A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy

To safely deploy deep learning models in the clinic, a quality assurance...

0 Xiyao Jin, et al. ∙

research

∙ 10/11/2022

Joint localization and classification of breast tumors on ultrasound images using a novel auxiliary attention-based framework

Automatic breast lesion detection and classification is an important tas...

0 Zong Fan, et al. ∙

research

∙ 10/08/2022

Spectrally-Corrected and Regularized Linear Discriminant Analysis for Spiked Covariance Model

In this paper, we propose an improved linear discriminant analysis, call...

0 Hua Li, et al. ∙

research

∙ 09/28/2022

High-order accurate multi-sub-step implicit integration algorithms with dissipation control for second-order hyperbolic problems

This paper develops an implicit family of sub-step integration algorithm...

0 Jinze Li, et al. ∙

research

∙ 08/17/2022

The Counterfactual-Shapley Value: Attributing Change in System Metrics

Given an unexpected change in the output metric of a large-scale system,...

0 Amit Sharma, et al. ∙

research

∙ 08/17/2022

Stereo Superpixel Segmentation Via Decoupled Dynamic Spatial-Embedding Fusion Network

Stereo superpixel segmentation aims at grouping the discretizing pixels ...

0 Hua Li, et al. ∙

research

∙ 06/23/2022

A novel adversarial learning strategy for medical image classification

Deep learning (DL) techniques have been extensively utilized for medical...

0 Zong Fan, et al. ∙

research

∙ 02/27/2022

Application of DatasetGAN in medical imaging: preliminary studies

Generative adversarial networks (GANs) have been widely investigated for...

0 Zong Fan, et al. ∙

research

∙ 01/03/2022

Gaussian-Hermite Moment Invariants of General Vector Functions to Rotation-Affine Transform

With the development of data acquisition technology, multi-channel data ...

4 Hanlin Mo, et al. ∙

research

∙ 10/20/2021

Pattern Division Random Access (PDRA) for M2M Communications with Massive MIMO Systems

In this work, we introduce the pattern-domain pilot design paradigm base...

0 Xiaoming Dai, et al. ∙

research

∙ 07/06/2021

Impact of deep learning-based image super-resolution on binary signal detection

Deep learning-based image super-resolution (DL-SR) has shown great promi...

18 Xiaohui Zhang, et al. ∙

research

∙ 06/27/2021

Learning stochastic object models from medical imaging measurements by use of advanced AmbientGANs

In order to objectively assess new medical imaging technologies via comp...

16 Weimin Zhou, et al. ∙

research

∙ 01/30/2021

Advancing the AmbientGAN for learning stochastic object models

Medical imaging systems are commonly assessed and optimized by use of ob...

0 Weimin Zhou, et al. ∙

research

∙ 01/21/2021

Geometric Moment Invariants to Motion Blur

In this paper, we focus on removing interference of motion blur by the d...

0 Hongxiang Hao, et al. ∙

research

∙ 12/11/2020

Superpixel Segmentation Based on Spatially Constrained Subspace Clustering

Superpixel segmentation aims at dividing the input image into some repre...

0 Hua Li, et al. ∙

research

∙ 12/10/2020

Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation

Adapting semantic segmentation models to new domains is an important but...

0 Bowen Cai, et al. ∙

research

∙ 11/07/2020

Deeply-Supervised Density Regression for Automatic Cell Counting in Microscopy Images

Accurately counting the number of cells in microscopy images is required...

16 Shenghua He, et al. ∙

research

∙ 10/02/2020

A Parallel Down-Up Fusion Network for Salient Object Detection in Optical Remote Sensing Images

The diverse spatial resolutions, various object types, scales and orient...

0 Chongyi Li, et al. ∙

research

∙ 05/29/2020

Approximating the Ideal Observer for joint signal detection and localization tasks by use of supervised learning methods

Medical imaging systems are commonly assessed and optimized by use of ob...

0 Weimin Zhou, et al. ∙

research

∙ 05/29/2020

Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANs

It has been advocated that medical imaging systems and reconstruction al...

0 Weimin Zhou, et al. ∙

research

∙ 04/21/2020

Spatio-Temporal Dual Affine Differential Invariant for Skeleton-based Action Recognition

The dynamics of human skeletons have significant information for the tas...

0 Qi Li, et al. ∙

research

∙ 02/03/2020

Learning Numerical Observers using Unsupervised Domain Adaptation

Medical imaging systems are commonly assessed by use of objective image ...

0 Shenghua He, et al. ∙

research

∙ 01/26/2020

Progressively-Growing AmbientGANs For Learning Stochastic Object Models From Imaging Measurements

The objective optimization of medical imaging systems requires full char...

6 Weimin Zhou, et al. ∙

research

∙ 11/19/2019

Dual affine moment invariants

Affine transformation is one of the most common transformations in natur...

0 You Hao, et al. ∙

research

∙ 11/13/2019

Image Differential Invariants

Inspired by the methods of systematic derivation of image moment invaria...

22 Hanlin Mo, et al. ∙

research

∙ 05/15/2019

Approximating the Ideal Observer and Hotelling Observer for binary signal detection tasks by use of supervised learning methods

It is widely accepted that optimization of medical imaging system perfor...

5 Weimin Zhou, et al. ∙

research

∙ 03/04/2019

Automatic microscopic cell counting by use of deeply-supervised density regression model

Accurately counting cells in microscopic images is important for medical...

0 Shenghua He, et al. ∙

research

∙ 03/01/2019

Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression

Accurate cell counting in microscopic images is important for medical di...

0 Shenghua He, et al. ∙

research

∙ 08/30/2018

Differential and integral invariants under Mobius transformation

One of the most challenging problems in the domain of 2-D image or 3-D s...

0 He Zhang, et al. ∙

research

∙ 07/10/2018

Convolutional neural network based automatic plaque characterization from intracoronary optical coherence tomography images

Optical coherence tomography (OCT) can provide high-resolution cross-sec...

0 Shenghua He, et al. ∙

research

∙ 10/20/2017

Fast and Efficient Calculations of Structural Invariants of Chirality

Chirality plays an important role in physics, chemistry, biology, and ot...

0 He Zhang, et al. ∙

research

∙ 07/19/2017

Image Projective Invariants

In this paper, we propose relative projective differential invariants (R...

0 Erbo Li, et al. ∙

research

∙ 06/14/2017

Shape-Color Differential Moment Invariants under Affine Transformations

We propose the general construction formula of shape-color primitives by...

0 Hanlin Mo, et al. ∙

research

∙ 06/05/2017

A Kind of Affine Weighted Moment Invariants

A new kind of geometric invariants is proposed in this paper, which is c...

0 Hanlin Mo, et al. ∙

research

∙ 05/31/2017

Naturally Combined Shape-Color Moment Invariants under Affine Transformations

We proposed a kind of naturally combined shape-color affine moment invar...

0 Ming Gong, et al. ∙

research

∙ 05/30/2017

Reflection Invariant and Symmetry Detection

Symmetry detection and discrimination are of fundamental meaning in scie...

0 Erbo Li, et al. ∙

research

∙ 05/20/2017

Isomorphism between Differential and Moment Invariants under Affine Transform

The invariant is one of central topics in science, technology and engine...

0 Erbo Li, et al. ∙

research

∙ 05/19/2017

Affine-Gradient Based Local Binary Pattern Descriptor for Texture Classiffication

We present a novel Affine-Gradient based Local Binary Pattern (AGLBP) de...

0 You Hao, et al. ∙

research

∙ 05/10/2017

4d isip: 4d implicit surface interest point detection

In this paper, we propose a new method to detect 4D spatiotemporal inter...

0 Shirui Li, et al. ∙

research

∙ 03/07/2017

Shape DNA: Basic Generating Functions for Geometric Moment Invariants

Geometric moment invariants (GMIs) have been widely used as basic tool i...

0 Erbo Li, et al. ∙

research

∙ 12/13/2016

CFD results calibration from sparse sensor observations with a case study for indoor thermal map

Current CFD calibration work has mainly focused on the CFD model calibra...

0 Chaoyang Jiang, et al. ∙

Hua Li

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