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Hai Min
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2020 – today
- 2023
- [j23]Yongyan Guo, Zhengyu Liu, Cheng Huang, Nannan Wang, Hai Min, Wenbo Guo, Jiayong Liu:
A framework for threat intelligence extraction and fusion. Comput. Secur. 132: 103371 (2023) - [j22]Longfeng Shen, Fenglan Qin, Hongying Zhu, Dengdi Sun, Hai Min:
EGARNet: adjacent residual lightweight super-resolution network based on extended group-enhanced convolution. Multim. Syst. 29(5): 2651-2668 (2023) - [j21]Hai Min, Yemao Zhang, Yang Zhao, Wei Jia, Ying-Ke Lei, Chunxiao Fan:
Hybrid feature enhancement network for few-shot semantic segmentation. Pattern Recognit. 137: 109291 (2023) - 2022
- [j20]Wei Jia, Qiang Ren, Yang Zhao, Shujie Li, Hai Min, Yanxiang Chen:
EEPNet: An efficient and effective convolutional neural network for palmprint recognition. Pattern Recognit. Lett. 159: 140-149 (2022) - 2021
- [j19]Wei Jia, Shiquan Xu, Zhen Liang, Yang Zhao, Hai Min, Shujie Li, Ye Yu:
Real-time automatic helmet detection of motorcyclists in urban traffic using improved YOLOv5 detector. IET Image Process. 15(14): 3623-3637 (2021) - [j18]Wei Jia, Jian Gao, Wei Xia, Yang Zhao, Hai Min, Jing-Ting Lu:
A Performance Evaluation of Classic Convolutional Neural Networks for 2D and 3D Palmprint and Palm Vein Recognition. Int. J. Autom. Comput. 18(1): 18-44 (2021) - [j17]Wei Jia, Wei Xia, Yang Zhao, Hai Min, Yan-Xiang Chen:
2D and 3D Palmprint and Palm Vein Recognition Based on Neural Architecture Search. Int. J. Autom. Comput. 18(3): 377-409 (2021) - [j16]Chunxiao Fan, Zhou Hu, Lu Jia, Hai Min:
A novel lossless compression encoding framework for SAR remote sensing images. Signal Image Video Process. 15(3): 441-448 (2021) - [j15]Ye Yu, Hua Li, Jun Wang, Hai Min, Wei Jia, Jun Yu, Changwen Chen:
A Multilayer Pyramid Network Based on Learning for Vehicle Logo Recognition. IEEE Trans. Intell. Transp. Syst. 22(5): 3123-3134 (2021) - [c14]Yuchen Ge, Zhongqiu Zhao, Yao Gao, Weidong Tian, Hai Min:
Multi-Branch Network for Small Human Pose Estimation. ICANN (3) 2021: 343-355 - [c13]Wei Jia, Shuwei Huang, Bin Wang, Lunke Fei, Yang Zhao, Hai Min:
Deep Multi-loss Hashing Network for Palmprint Retrieval and Recognition. IJCB 2021: 1-8
2010 – 2019
- 2019
- [j14]Hai Min, Li Xia, Junwei Han, Xiaofeng Wang, Qianqian Pan, Hao Fu, Hongzhi Wang, Stephen T. C. Wong, Hai Li:
A multi-scale level set method based on local features for segmentation of images with intensity inhomogeneity. Pattern Recognit. 91: 69-85 (2019) - [j13]Wei Jia, Yang Zhao, Ronggang Wang, Shujie Li, Hai Min, Xiaoping Liu:
Are Recent SISR Techniques Suitable for Industrial Applications at Low Magnification? IEEE Trans. Ind. Electron. 66(12): 9828-9836 (2019) - 2018
- [j12]Yang Zhao, Guoqing Li, Wenjun Xie, Wei Jia, Hai Min, Xiaoping Liu:
GUN: Gradual Upsampling Network for Single Image Super-Resolution. IEEE Access 6: 39363-39374 (2018) - [j11]Hai Min, Jingting Lu, Wei Jia, Yang Zhao, Yue-Tong Luo:
An effective local regional model based on salient fitting for image segmentation. Neurocomputing 311: 245-259 (2018) - [j10]Hai Min, Wei Jia, Xiao-Feng Wang, Yang Zhao, Yue-Tong Luo:
A polynomial piecewise constant approximation method based on dual constraint relaxation for segmenting images with intensity inhomogeneity. Pattern Recognit. 73: 15-32 (2018) - [j9]Hai Min, Wei Jia, Yang Zhao, Wangmeng Zuo, Haibin Ling, Yue-Tong Luo:
LATE: A Level-Set Method Based on Local Approximation of Taylor Expansion for Segmenting Intensity Inhomogeneous Images. IEEE Trans. Image Process. 27(10): 5016-5031 (2018) - [c12]Hai Min, Wei Jia, Yang Zhao:
A Region-Bias Fitting Model based Level Set for Segmenting Images with Intensity Inhomogeneity. ISICDM 2018: 83-87 - 2017
- [c11]Jingting Lu, Hui Ye, Wei Jia, Yang Zhao, Hai Min, Wenxiong Kang, Lunke Fei:
The Variants of Weber Local Descriptor and Their Applications for Biometrics. CCBR 2017: 691-699 - [c10]Hai Min, Li Xia, Qianqian Pan, Hao Fu, Hongzhi Wang, Hai Li:
Local Features Based Level Set Method for Segmentation of Images with Intensity Inhomogeneity. CCCV (2) 2017: 498-508 - 2016
- [j8]Xiao-Feng Wang, Hai Min, Le Zou, Yi-Gang Zhang, Yuanyan Tang, Chun Lung Philip Chen:
An efficient level set method based on multi-scale image segmentation and hermite differential operator. Neurocomputing 188: 90-101 (2016) - [j7]Hai Min, Xiao-Feng Wang, De-Shuang Huang, Wei Jia:
A novel dual minimization based level set method for image segmentation. Neurocomputing 214: 910-926 (2016) - [c9]Jing-Ting Lu, Hui Ye, Wei Jia, Yang Zhao, Hai Min, Wenxiong Kang, Bob Zhang:
A Performance Evaluation of Local Descriptors, Direction Coding and Correlation Filters for Palm Vein Recognition. CCBR 2016: 279-287 - 2015
- [j6]Xiao-Feng Wang, Hai Min, Yi-Gang Zhang:
Multi-scale local region based level set method for image segmentation in the presence of intensity inhomogeneity. Neurocomputing 151: 1086-1098 (2015) - [j5]Hai Min, Xiao-Feng Wang, De-Shuang Huang, Jing Jin, Hongzhi Wang, Hai Li:
Level set method for image segmentation based on moment competition. J. Electronic Imaging 24(3): 033020 (2015) - [j4]Xiao-Feng Wang, Hai Min, Le Zou, Yi-Gang Zhang:
A novel level set method for image segmentation by incorporating local statistical analysis and global similarity measurement. Pattern Recognit. 48(1): 189-204 (2015) - [j3]Hai Min, Wei Jia, Xiao-Feng Wang, Yang Zhao, Rong-Xiang Hu, Yue-Tong Luo, Feng Xue, Jing-Ting Lu:
An Intensity-Texture model based level set method for image segmentation. Pattern Recognit. 48(4): 1547-1562 (2015) - 2014
- [c8]Xiao-Feng Wang, Hai Min, Le Zou, Yi-Gang Zhang:
Multi-scale Level Set Method for Medical Image Segmentation without Re-initialization. ICIC (3) 2014: 63-71 - [c7]Hai Min, Xiao-Feng Wang:
A Novel Local Regional Model Based on Three-Layer Structure. ICIC (3) 2014: 72-79 - [c6]Hai Min, Xiao-Feng Wang, De-Shuang Huang:
A novel texture image segmentation model based on multi-scale structure. MFI 2014: 1-6 - [i1]Can-Yi Lu, Hai Min, Zhong-Qiu Zhao, Lin Zhu, De-Shuang Huang, Shuicheng Yan:
Robust and Efficient Subspace Segmentation via Least Squares Regression. CoRR abs/1404.6736 (2014) - 2013
- [j2]Yang Zhao, Wei Jia, Rong-Xiang Hu, Hai Min:
Completed robust local binary pattern for texture classification. Neurocomputing 106: 68-76 (2013) - [j1]Can-Yi Lu, Hai Min, Jie Gui, Lin Zhu, Ying-Ke Lei:
Face recognition via Weighted Sparse Representation. J. Vis. Commun. Image Represent. 24(2): 111-116 (2013) - [c5]Xiao-Feng Wang, Hai Min, Yi-Gang Zhang:
A Novel Multi-Scale Local Region Model for Segmenting Image with Intensity Inhomogeneity. ICIC (1) 2013: 516-525 - 2012
- [c4]Can-Yi Lu, Hai Min, Zhong-Qiu Zhao, Lin Zhu, De-Shuang Huang, Shuicheng Yan:
Robust and Efficient Subspace Segmentation via Least Squares Regression. ECCV (7) 2012: 347-360 - [c3]Xiao-Feng Wang, Hai Min:
An Efficient Two-Stage Level Set Segmentation Framework for Overlapping Plant Leaf Image. ICIC (1) 2012: 466-474 - 2010
- [c2]Hai Min, Xiao-Feng Wang, Ying-Ke Lei:
A Novel Level Set Model Based on Local Information. ICIC (1) 2010: 507-514
2000 – 2009
- 2009
- [c1]Xiao-Feng Wang, Hai Min:
A Level Set Based Segmentation Method for Images with Intensity Inhomogeneity. ICIC (2) 2009: 670-679
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last updated on 2024-10-07 22:09 CEST by the dblp team
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