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ORCIDKun He 0007
Person information
- affiliation: Sichuan University, School of Computer Science, Chengdu, China
Other persons with the same name
- Kun He — disambiguation page
- Kun He 0001
![[0000-0001-7627-4604]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7627-4604")
— Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China - Kun He 0002 — Institute of Automation, Chinese Academy of Sciences, Beijing, China
- Kun He 0003 — Facebook Reality Labs, Redmond, WA, USA (and 1 more)
- Kun He 0004 — Beijing University of Chemical Technology, Beijing, China
- Kun He 0005 — Nanjing University of Aeronautics and Astronautics, Jiangsu, China
- Kun He 0006 — CentraleSupélec, France (and 1 more)
- Kun He 0008 — Wuhan University, China
- Kun He 0009 — The Australian National University, Canberra, Australia
- Kun He 0010 — National University of Defense Technology, Changsha, China
- Kun He 0011 — University of Chinese Academy of Sciences. Beijing, China
- Kun He 0012 — Peking University, Beijing, China
- Kun He 0013 — Tencent Corporation, China (and 1 more)
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Journal Articles
- 2022
[j11]Ben Feng, Kun He:
Image Segmentation via Multiscale Perceptual Grouping. Symmetry 14(6): 1076 (2022)- 2021
- [j10]Dan Wang, Kun He, Bin Wang, Xiaoju Liu, Jiliu Zhou:
Solitary Pulmonary nodule segmentation based on pyramid and improved grab cut. Comput. Methods Programs Biomed. 199: 105910 (2021) - 2020
- [j9]Kun He, Dan Wang, Miao Tong, Zhijuan Zhu:
An improved GrabCut on multiscale features. Pattern Recognit. 103: 107292 (2020) - 2019
- [j8]Kun He, Dan Wang, Bin Wang, Ben Feng, Chenyu Li:
Foreground Extraction Combining Graph Cut and Histogram Shape Analysis. IEEE Access 7: 176248-176256 (2019) - [j7]Yan Wang, Chen Zu, Zongqing Ma, Yong Luo, Kun He, Xi Wu, Jiliu Zhou:
Patch-wise label propagation for MR brain segmentation based on multi-atlas images. Multim. Syst. 25(2): 73-81 (2019) - 2018
- [j6]Kun He, Dan Wang, Miao Tong, Xu Zhang:
Interactive Image Segmentation on Multiscale Appearances. IEEE Access 6: 67732-67741 (2018) - [j5]Yan Wang, Chen Zu, Guangliang Hu, Yong Luo, Zongqing Ma, Kun He, Xi Wu, Jiliu Zhou:
Automatic Tumor Segmentation with Deep Convolutional Neural Networks for Radiotherapy Applications. Neural Process. Lett. 48(3): 1323-1334 (2018) - 2016
- [j4]Kun He, Dan Wang, Xu Zhang:
Image segmentation using the level set and improved-variation smoothing. Comput. Vis. Image Underst. 152: 29-40 (2016) - [j3]Kun He, Dan Wang, Xiuqing Zheng:
Image segmentation on adaptive edge-preserving smoothing. J. Electronic Imaging 25(5): 053022 (2016) - 2015
- [j2]Ying Fu, Xi Wu, Xiaohua Li, Kun He, Yi Zhang, Jiliu Zhou:
Image Motion Restoration Using Fractional-Order Gradient Prior. Informatica 26(4): 621-634 (2015) - 2012
- [j1]Xiujun Zhang, Xing-Ming Zhao, Kun He, Le Lu, Yongwei Cao, Jingdong Liu, Jin-Kao Hao, Zhi-Ping Liu, Luonan Chen:
Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information. Bioinform. 28(1): 98-104 (2012)
Conference and Workshop Papers
- 2017
- [c6]Yi Lai, Chaohao Chen, Kun He:
Image segmentation via grabcut and linear multi-scale smoothing. ICCIP 2017: 474-478 - 2011
- [c5]Chang Liu, Kun He, Jiliu Zhou, Chaobang Gao:
Discriminant Orthogonal Rank-One Tensor Projections for Face Recognition. ACIIDS (2) 2011: 203-211 - 2010
- [c4]Mei Gong, Jiliu Zhou, Kun He:
A Weighted and Combined Super Resolution Reconstruction Algorithm. ICEE 2010: 1600-1603 - 2006
- [c3]Kun He, Jiliu Zhou, Shuhua Xiong, JunQiang Wu:
Face Recognition on Bionic Pattern. IMSCCS (1) 2006: 231-235 - [c2]Mei Huang, Jiliu Zhou, Kun He, Shuhua Xiong, Tao Li:
Local Feature Based Face Recognition. IMSCCS (1) 2006: 274-277 - [c1]Shuhua Xiong, Jiliu Zhou, Kun He, Fangnian Lang:
A Multipurpose Image Watermarking Method Based on Adaptive Quantization of Wavelet Coefficients. IMSCCS (1) 2006: 294-297
Informal and Other Publications
- 2017
- [i1]Hu Chen, Yi Zhang, Weihua Zhang, Huaiqiang Sun, Peixi Liao, Kun He, Jiliu Zhou, Ge Wang:
Learned Experts' Assessment-based Reconstruction Network ("LEARN") for Sparse-data CT. CoRR abs/1707.09636 (2017)
Coauthor Index
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