
Impact of deep learningbased image superresolution on binary signal detection
Deep learningbased image superresolution (DLSR) has shown great promi...
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Learning stochastic object models from medical imaging measurements by use of advanced AmbientGANs
In order to objectively assess new medical imaging technologies via comp...
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Advancing the AmbientGAN for learning stochastic object models
Medical imaging systems are commonly assessed and optimized by use of ob...
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Geometric Moment Invariants to Motion Blur
In this paper, we focus on removing interference of motion blur by the d...
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Superpixel Segmentation Based on Spatially Constrained Subspace Clustering
Superpixel segmentation aims at dividing the input image into some repre...
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Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation
Adapting semantic segmentation models to new domains is an important but...
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DeeplySupervised Density Regression for Automatic Cell Counting in Microscopy Images
Accurately counting the number of cells in microscopy images is required...
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A Parallel DownUp Fusion Network for Salient Object Detection in Optical Remote Sensing Images
The diverse spatial resolutions, various object types, scales and orient...
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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...
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Learning stochastic object models from medical imaging measurements using ProgressivelyGrowing AmbientGANs
It has been advocated that medical imaging systems and reconstruction al...
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SpatioTemporal Dual Affine Differential Invariant for Skeletonbased Action Recognition
The dynamics of human skeletons have significant information for the tas...
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Learning Numerical Observers using Unsupervised Domain Adaptation
Medical imaging systems are commonly assessed by use of objective image ...
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ProgressivelyGrowing AmbientGANs For Learning Stochastic Object Models From Imaging Measurements
The objective optimization of medical imaging systems requires full char...
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Dual affine moment invariants
Affine transformation is one of the most common transformations in natur...
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Image Differential Invariants
Inspired by the methods of systematic derivation of image moment invaria...
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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...
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Automatic microscopic cell counting by use of deeplysupervised density regression model
Accurately counting cells in microscopic images is important for medical...
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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...
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Differential and integral invariants under Mobius transformation
One of the most challenging problems in the domain of 2D image or 3D s...
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Convolutional neural network based automatic plaque characterization from intracoronary optical coherence tomography images
Optical coherence tomography (OCT) can provide highresolution crosssec...
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Fast and Efficient Calculations of Structural Invariants of Chirality
Chirality plays an important role in physics, chemistry, biology, and ot...
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Image Projective Invariants
In this paper, we propose relative projective differential invariants (R...
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ShapeColor Differential Moment Invariants under Affine Transformations
We propose the general construction formula of shapecolor primitives by...
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A Kind of Affine Weighted Moment Invariants
A new kind of geometric invariants is proposed in this paper, which is c...
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Naturally Combined ShapeColor Moment Invariants under Affine Transformations
We proposed a kind of naturally combined shapecolor affine moment invar...
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Reflection Invariant and Symmetry Detection
Symmetry detection and discrimination are of fundamental meaning in scie...
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Isomorphism between Differential and Moment Invariants under Affine Transform
The invariant is one of central topics in science, technology and engine...
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AffineGradient Based Local Binary Pattern Descriptor for Texture Classiffication
We present a novel AffineGradient based Local Binary Pattern (AGLBP) de...
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4d isip: 4d implicit surface interest point detection
In this paper, we propose a new method to detect 4D spatiotemporal inter...
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Shape DNA: Basic Generating Functions for Geometric Moment Invariants
Geometric moment invariants (GMIs) have been widely used as basic tool i...
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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...
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Hua Li
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Professor at Institute of Computing Technology, Chinese Academy of Sciences