Search Results - "Liu, Chongjin"
-
1
Identification of Dual-Target Inhibitors for Epidermal Growth Factor Receptor and AKT: Virtual Screening Based on Structure and Molecular Dynamics Study
Published in Molecules (Basel, Switzerland) (01-11-2023)“…Epidermal growth factor EGFR is an important target for non-small cell lung (NSCL) cancer, and inhibitors of the AKT protein have been used in many cancer…”
Get full text
Journal Article -
2
Mixed High-Order Non-Local Attention Network for Single Image Super-Resolution
Published in IEEE access (2021)“…Attention has been diffusely used in many tasks since it can guide network concentrating on the most important regions of an input pattern. Nevertheless, many…”
Get full text
Journal Article -
3
High-resolution palmprint minutiae extraction based on Gabor feature
Published in Science China. Information sciences (01-11-2014)“…Extracting effective minutiae is difficult for high-resolution palmprint, because of the strong influence from principal lines, creases, and other noises. In…”
Get full text
Journal Article -
4
Spectral correspondence method for fingerprint minutia matching
Published in Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012) (01-11-2012)“…This paper presents a spectral correspondence method for fingerprint matching. Minutia matching is formulated as recovering the dense sub-block in the…”
Get full text
Conference Proceeding -
5
Complex Gaussian Mixture Model for fingerprint minutiae
Published in Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012) (01-11-2012)“…Fingerprint representation is important in fingerprint recognition systems and has great impact on its performance. In this paper, we first introduce complex…”
Get full text
Conference Proceeding -
6
A novel method of fingerprint minutiae extraction based on Gabor phase
Published in 2010 IEEE International Conference on Image Processing (01-09-2010)“…In this paper, a novel method of fingerprint minutiae extraction on grey-scale images is proposed based on the Gabor phase field. The novelty of our approach…”
Get full text
Conference Proceeding -
7
Face recognition with illumination distinction description
Published in Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012) (01-11-2012)“…Varying lighting conditions may cause great face image appearance variance and hence seriously distort the distributions of within and between class distances,…”
Get full text
Conference Proceeding -
8
A novel fingerprint matching algorithm using Minutiae Phase Difference Feature
Published in 2011 18th IEEE International Conference on Image Processing (01-09-2011)“…In this paper, a new non-linear distortion robust fingerprint feature named Minutiae Phase Difference Feature (MPDF) is proposed, and used to measure the…”
Get full text
Conference Proceeding -
9
Region Attention Network For Single Image Super-resolution
Published in 2021 International Joint Conference on Neural Networks (IJCNN) (18-07-2021)“…The task of single image super-resolution (SISR) is a highly inverse problem because it is very challenging to reconstruct rich details from blurry images…”
Get full text
Conference Proceeding -
10
Extended clique models: A new matching strategy for fingerprint recognition
Published in 2013 International Conference on Biometrics (ICB) (01-06-2013)“…Establishing correspondences between minutiae sets is a fundamental issue in fingerprint recognition. This paper proposes a graph matching strategy. It…”
Get full text
Conference Proceeding -
11
Expectation-Maximization Attention Cross Residual Network for Single Image Super-resolution
Published in 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (01-06-2021)“…The depth of deep convolution neural network and self-attention mechanism is widely used for the single image super-resolution (SISR) task. Nevertheless, we…”
Get full text
Conference Proceeding -
12
Mixed High-Order Non-Local Attention Network for Single Image Super-Resolution
Published in Access, IEEE (2021)“…Attention has been diffusely used in many tasks since it can guide network concentrating on the most important regions of an input pattern. Nevertheless, many…”
Get full text
Standard