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Feng Liu 0013
Person information
- affiliation: Shenzhen University, School of Computer Science and Software Engineering, China
- affiliation (former): Sichuan University, College of Computer Science, Chengdu, China
- affiliation (PhD): Hong Kong Polytechnic University, Department of Computing, Biometrics Research Centre, Hong Kong
Other persons with the same name
- Feng Liu — disambiguation page
- Feng Liu 0001
— Chinese Academy of Sciences, State Key Laboratory of Information Security, Institute of Software, Beijing, China
- Feng Liu 0002
— Nanjing University of Science and Technology, School of Electronic and Optical Engineering, China
- Feng Liu 0003
(aka: Feng (Alex) Liu) — University of Melbourne, School of Mathematics and Statistics, Australia (and 2 more)
- Feng Liu 0004
— Shanghai Maritime University, College of Information Engineering, China
- Feng Liu 0005
— The University of Queensland, School of Information Technology and Electrical Engineering, Brisbane, QLD, Australia
- Feng Liu 0006
— Nanjing University, Department of Physics, China
- Feng Liu 0007
— Chinese Academy of Sciences, State Key Laboratory of Membrane Biology, Institute of Zoology, Beijing, China
- Feng Liu 0008 — Hefei University of Technology, School of Economics / Research Center of Industry Information, China
- Feng Liu 0009
— Beihang University, Department of School of Astronautics, Beijing, China (and 1 more)
- Feng Liu 0010
— Beihang University, School of Electronics and Information Engineering, Beijing, China (and 1 more)
- Feng Liu 0011
— Stevens Institute of Technology, School of Systems and Enterprises, Hoboken, NJ, USA (and 4 more)
- Feng Liu 0012
— Nankai University, College of Electronic Information and Optical Engineering, Tianjin, China (and 1 more)
- Feng Liu 0014
— Tsinghua University, Department of Electrical Engineering, State Key Laboratory of Power Systems, Beijing, China
- Feng Liu 0015
— Portland State University, Computer Science Department, OR, USA (and 2 more)
- Feng Liu 0016 — Avaya Labs Research, Basking Ridge, NJ, USA
- Feng Liu 0017 — Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, China
- Feng Liu 0018 — Nanjing University of Finance and Economics, School of Information Engineering, China
- Feng Liu 0019 — Southwest University, Faculty of Materials and Energy, Institute for Clean Energy and Advanced Materials, Chongqing, China
- Feng Liu 0020
— Dongbei University of Finance and Economics, School of Management Science and Engineering, Dalian, China (and 1 more)
- Feng Liu 0021 — Ludwig Maximilians University Munich, Germany
- Feng Liu 0022
— Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
- Feng Liu 0023
— Beihang University, School of Instrumentation and Optoelectronic Engineering, Beijing, China
- Feng Liu 0024
— Anhui University, School of Computer Science and Technology, Hefei, China
- Feng Liu 0025
— Xidian University, Key Laboratory of Antennas and Microwave Technologies, Xi'an, China
- Feng Liu 0026
— Harbin Engineering University, College of Shipbuilding Engineering, Harbin, China
- Feng Liu 0027
— Beijing Jiaotong University, School of Electronic and Information Engineering, Beijing, China
- Feng Liu 0028
— Nanjing University of Posts and Telecommunications, Jiangsu Provincial Key Lab of Image Processing and Image Communication, Nanjing, China
- Feng Liu 0029 — National University of Defense Technology, School of Computer Science, National Lab of Parallel Distributed Processing, Changsha, China
- Feng Liu 0030 — Chinese Academy of Sciences, Research Center on Fictitious Economy and Data Science, Beijing, China (and 2 more)
- Feng Liu 0031 — Vrije Universiteit Brussel, Computational Modeling Lab, Brussels, Belgium
- Feng Liu 0032
— National University of Defense Technology, College of Electronic Engineering, Hefei, China
- Feng Liu 0033
— Columbia University Medical Center, Department of Psychiatry, New York, NY, USA (and 1 more)
- Feng Liu 0034 — Harbin Institute of Technology, Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen, China
- Feng Liu 0035
— Tianjin Medical University, Department of Radiology, Tianjin Key Laboratory of Functional Imaging, Tianjin, China (and 1 more)
- Feng Liu 0036
— Deepwise AI Lab, Beijing, China (and 2 more)
- Feng Liu 0037
— Michigan State University, Department of Computer Science and Engineering, Computer Vision Lab, East Lansing, MI, USA (and 1 more)
- Feng Liu 0038
— Nanjing Tech University, College of Electrical Engineering and Control Science, China (and 2 more)
- Feng Liu 0039
— Shanghai Jiao Tong University, China (and 2 more)
- Feng Liu 0040 — Huawei Munich Research Center, Germany
- Feng Liu 0041 — Harbin Institute of Technology, School of Computer Science and Technology, China
- Feng Liu 0042
— China University of Geosciences, School of Automation, Wuhan, China (and 1 more)
- Feng Liu 0043 — Nanyang Technological University, Center of Computational Intelligence, Singapore
- Feng Liu 0044 — Shanxi University, School of Computer and Information Technology, Taiyuan, China
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2020 – today
- 2025
- [j31]Feng Liu, Qiuheng Wang, Yanfeng Xiao, Linlin Shen
:
An efficient and effective pore matching method using ResCNN descriptor and local outliers. Pattern Recognit. 163: 111446 (2025) - 2024
- [j30]Wentian Zhang, Haozhe Liu, Feng Liu, Raghavendra Ramachandra:
A uniform representation model for OCT-based fingerprint presentation attack detection and reconstruction. Pattern Recognit. 145: 109981 (2024) - [j29]Feng Liu
, Wenfeng Zeng
, Yin Li
, Linlin Shen
:
A Lightweight and Noise-Robust Method for Internal OCT Fingerprint Reconstruction. IEEE Trans. Inf. Forensics Secur. 19: 5492-5505 (2024) - [j28]Zhe Kong
, Wentian Zhang
, Feng Liu
, Wenhan Luo
, Haozhe Liu
, Linlin Shen
, Raghavendra Ramachandra
:
Taming Self-Supervised Learning for Presentation Attack Detection: De-Folding and De-Mixing. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10639-10650 (2024) - [c30]Dongliang Yang
, Feng Liu
, Changjiang Song
, Mingqing Zhu
:
Finger Vein Recognition by Channel-Wise Feature. ICCPR 2024: 8-12 - [i12]Haozhe Liu, Wentian Zhang, Feng Liu, Haoqian Wu, Linlin Shen:
Fingerprint Presentation Attack Detector Using Global-Local Model. CoRR abs/2402.12754 (2024) - 2023
- [j27]Feng Liu
, Wenfeng Zeng
, Wentian Zhang
, Lei Wang
, Jun Cheng
, Zhihui Lai
:
Multi-Layered Minutiae Extraction Based on Fusion-Attention for OCT Fingerprints. IEEE Trans. Biom. Behav. Identity Sci. 5(2): 221-232 (2023) - [c29]Yanliang Guo, Xianxu Hou, Feng Liu, Linlin Shen, Lei Wang, Zhen Wang, Peng Liu:
StyleAU: StyleGAN based Facial Action Unit Manipulation for Expression Editing. IJCB 2023: 1-10 - [c28]Xilin He, Qinliang Lin, Cheng Luo, Weicheng Xie, Siyang Song, Feng Liu, Linlin Shen:
Shift from Texture-bias to Shape-bias: Edge Deformation-based Augmentation for Robust Object Recognition. ICCV 2023: 1526-1535 - 2022
- [j26]Feng Liu
, Guojie Liu
, Wentian Zhang
, Lei Wang
, Linlin Shen
:
A Novel High-Resolution Fingerprint Representation Method. IEEE Trans. Biom. Behav. Identity Sci. 4(2): 289-300 (2022) - [j25]Changyuan Jiang
, Shisong Lin
, Wei Chen
, Feng Liu
, Linlin Shen
:
PointFace: Point Cloud Encoder-Based Feature Embedding for 3-D Face Recognition. IEEE Trans. Biom. Behav. Identity Sci. 4(4): 486-497 (2022) - [j24]Haozhe Liu
, Wentian Zhang
, Feng Liu
, Haoqian Wu, Linlin Shen
:
Fingerprint Presentation Attack Detector Using Global-Local Model. IEEE Trans. Cybern. 52(11): 12315-12328 (2022) - [j23]Feng Liu
, Zhe Kong
, Haozhe Liu
, Wentian Zhang
, Linlin Shen
:
Fingerprint Presentation Attack Detection by Channel-Wise Feature Denoising. IEEE Trans. Inf. Forensics Secur. 17: 2963-2976 (2022) - [c27]Wentian Zhang, Haozhe Liu, Feng Liu
, Raghavendra Ramachandra, Christoph Busch:
Effective Presentation Attack Detection Driven by Face Related Task. ECCV (5) 2022: 408-423 - [c26]Wentian Zhang, Xu Sun
, Yuexiang Li, Haozhe Liu, Nanjun He, Feng Liu, Yefeng Zheng:
A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images. MICCAI (2) 2022: 656-666 - [i11]Haozhe Liu, Haoqin Ji, Yuexiang Li, Nanjun He, Haoqian Wu, Feng Liu, Linlin Shen, Yefeng Zheng:
Robust Representation via Dynamic Feature Aggregation. CoRR abs/2205.07466 (2022) - [i10]Wentian Zhang, Haozhe Liu, Feng Liu, Raghavendra Ramachandra:
A Uniform Representation Learning Method for OCT-based Fingerprint Presentation Attack Detection and Reconstruction. CoRR abs/2209.12208 (2022) - 2021
- [j22]Lei Wang
, Peizhen Lin, Jun Cheng, Feng Liu
, Xiaoliang Ma, Jian Yin:
Visual relationship detection with recurrent attention and negative sampling. Neurocomputing 434: 55-66 (2021) - [j21]Feng Liu
, Haozhe Liu
, Wentian Zhang
, Guojie Liu
, Linlin Shen
:
One-Class Fingerprint Presentation Attack Detection Using Auto-Encoder Network. IEEE Trans. Image Process. 30: 2394-2407 (2021) - [j20]Shisong Lin
, Mengchao Bai
, Feng Liu
, Linlin Shen
, Yicong Zhou
:
Orthogonalization-Guided Feature Fusion Network for Multimodal 2D+3D Facial Expression Recognition. IEEE Trans. Multim. 23: 1581-1591 (2021) - [c25]Bo Huang
, Zhiwei Ke, Yi Wang
, Wei Wang, Linlin Shen, Feng Liu:
Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles. AAAI 2021: 7823-7831 - [c24]Changyuan Jiang, Shisong Lin, Wei Chen, Feng Liu
, Linlin Shen:
PointFace: Point Set Based Feature Learning for 3D Face Recognition. IJCB 2021: 1-8 - [c23]Shisong Lin, Changyuan Jiang, Feng Liu
, Linlin Shen:
High Quality Facial Data Synthesis and Fusion for 3D Low-quality Face Recognition. IJCB 2021: 1-8 - [c22]Liying Lin, Haozhe Liu, Wentian Zhang, Feng Liu
, Zhihui Lai
:
Finger Vein Verification using Intrinsic and Extrinsic Features. IJCB 2021: 1-7 - [c21]Haozhe Liu, Haoqian Wu, Weicheng Xie, Feng Liu
, Linlin Shen:
Group-wise Inhibition based Feature Regularization for Robust Classification. ICCV 2021: 468-476 - [c20]Rongxiao Tang, Shuang Sun, Feng Liu
, Zhenhua Guo:
Weakly Supervised Fingerprint Pore Extraction With Convolutional Neural Network. ICIP 2021: 2993-2997 - [i9]Haozhe Liu, Haoqian Wu, Weicheng Xie, Feng Liu, Linlin Shen:
Group-wise Inhibition based Feature Regularization for Robust Classification. CoRR abs/2103.02152 (2021) - [i8]Haozhe Liu, Zhe Kong, Raghavendra Ramachandra, Feng Liu, Linlin Shen, Christoph Busch:
Taming Self-Supervised Learning for Presentation Attack Detection: In-Image De-Folding and Out-of-Image De-Mixing. CoRR abs/2109.04100 (2021) - [i7]Haozhe Liu, Hanbang Liang, Xianxu Hou, Haoqian Wu, Feng Liu, Linlin Shen:
Manifold-preserved GANs. CoRR abs/2109.08955 (2021) - [i6]Feng Liu, Zhe Kong, Haozhe Liu, Wentian Zhang, Linlin Shen:
Fingerprint Presentation Attack Detection by Channel-wise Feature Denoising. CoRR abs/2111.07620 (2021) - [i5]Wentian Zhang, Haozhe Liu, Raghavendra Ramachandra, Feng Liu, Linlin Shen, Christoph Busch:
Face Presentation Attack Detection using Taskonomy Feature. CoRR abs/2111.11046 (2021) - 2020
- [b1]Feng Liu, Qijun Zhao, David Zhang
:
Advanced Fingerprint Recognition: From 3D Shape to Ridge Detail, 2. Springer 2020, ISBN 978-981-15-4127-8, pp. 1-212 - [j19]Feng Liu
, Guojie Liu, Qijun Zhao
, Linlin Shen
:
Robust and high-security fingerprint recognition system using optical coherence tomography. Neurocomputing 402: 14-28 (2020) - [j18]Feng Liu
, Yuanhao Zhao, Guojie Liu, Linlin Shen
:
Fingerprint pore matching using deep features. Pattern Recognit. 102: 107208 (2020) - [j17]Feng Liu
, Caixiong Shen
, Haozhe Liu
, Guojie Liu
, Yahui Liu
, Zhenhua Guo
, Lei Wang
:
A Flexible Touch-Based Fingerprint Acquisition Device and a Benchmark Database Using Optical Coherence Tomography. IEEE Trans. Instrum. Meas. 69(9): 6518-6529 (2020) - [i4]Haozhe Liu, Wentian Zhang, Guojie Liu, Feng Liu:
A Zero-Shot based Fingerprint Presentation Attack Detection System. CoRR abs/2002.04908 (2020)
2010 – 2019
- 2019
- [j16]Feng Liu
, Guojie Liu, Xingzheng Wang
:
High-accurate and robust fingerprint anti-spoofing system using Optical Coherence Tomography. Expert Syst. Appl. 130: 31-44 (2019) - [j15]Zhenguo Hu, Penghui Gui, Ziqing Feng, Qijun Zhao, Keren Fu, Feng Liu
, Zhengxi Liu:
Boosting Depth-Based Face Recognition from a Quality Perspective. Sensors 19(19): 4124 (2019) - [j14]Yuanrong Xu
, Guangming Lu
, Yao Lu
, Feng Liu
, David Zhang
:
Fingerprint Pore Comparison Using Local Features and Spatial Relations. IEEE Trans. Circuits Syst. Video Technol. 29(10): 2927-2940 (2019) - [c19]Haozhe Liu, Wentian Zhang
, Feng Liu
, Yong Qi:
3D Fingerprint Gender Classification Using Deep Learning. CCBR 2019: 37-45 - [c18]Zhenguo Hu, Qijun Zhao, Feng Liu
:
Revisiting Depth-Based Face Recognition From a Quality Perspective. CVPR Workshops 2019: 2354-2362 - [c17]Shisong Lin, Feng Liu
, Yahui Liu, Linlin Shen:
Local Feature Tensor Based Deep Learning for 3D Face Recognition. FG 2019: 1-5 - [c16]Yuanhao Zhao, Guojie Liu, Feng Liu
, Linlin Shen, Qin Li:
DEEPPOREID: An Effective Pore Representation Descriptor in Direct Pore Matching. ICIP 2019: 1690-1694 - 2018
- [j13]Yangyang Xu
, Jun Cheng
, Lei Wang
, Haiying Xia, Feng Liu
, Dapeng Tao
:
Ensemble One-Dimensional Convolution Neural Networks for Skeleton-Based Action Recognition. IEEE Signal Process. Lett. 25(7): 1044-1048 (2018) - [c15]Yuanhao Zhao, Feng Liu
, Linlin Shen:
Fingerprint Pore Extraction Using Convolutional Neural Networks and Logical Operation. CCBR 2018: 38-47 - [c14]Feng Liu, Ronghang Zhu, Dan Zeng
, Qijun Zhao, Xiaoming Liu:
Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition. CVPR 2018: 5216-5225 - [i3]Feng Liu, Ronghang Zhu, Dan Zeng, Qijun Zhao, Xiaoming Liu:
Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition. CoRR abs/1803.11366 (2018) - 2017
- [j12]Lin Zhang
, Qingjun Liang, Ying Shen, Meng Yang
, Feng Liu:
Image set classification based on synthetic examples and reverse training. Neurocomputing 228: 3-10 (2017) - [j11]Jin-Xing Liu, Dong Wang, Ying-Lian Gao, Chun-Hou Zheng, Junliang Shang, Feng Liu
, Yong Xu:
A joint-L2, 1-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis. Neurocomputing 228: 263-269 (2017) - [j10]Feng Liu
, Dan Zeng
, Jing Li, Qijun Zhao:
On 3D face reconstruction via cascaded regression in shape space. Frontiers Inf. Technol. Electron. Eng. 18(12): 1978-1990 (2017) - [j9]Zhi Liu
, Bo Tang, Xiaofu He, Qingchen Qiu, Feng Liu
:
Class-Specific Random Forest With Cross-Correlation Constraints for Spectral-Spatial Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 14(2): 257-261 (2017) - [c13]Yuanrong Xu, Guangming Lu, Feng Liu, Yanxia Li:
Fingerprint Pore Extraction Based on Multi-scale Morphology. CCBR 2017: 288-295 - [c12]Xiaowei Dai, Jie Liang, Qijun Zhao, Feng Liu:
Fingerprint Segmentation via Convolutional Neural Networks. CCBR 2017: 324-333 - [c11]Feng Liu, Yuanhao Zhao, Linlin Shen:
Feature Guided Fingerprint Pore Matching. CCBR 2017: 334-343 - [c10]Jianqi Yan, Xiaowei Dai, Qijun Zhao, Feng Liu:
A CNN-Based Fingerprint Image Quality Assessment Method. CCBR 2017: 344-352 - [c9]Feng Liu, Jun Hu, Jianwei Sun, Yang Wang, Qijun Zhao:
Multi-dim: A multi-dimensional face database towards the application of 3D technology in real-world scenarios. IJCB 2017: 342-351 - [i2]Feng Zhang, Huanhai Xin, Zhen Wang, Deqiang Gan, Qian Xu, Pan Dai, Feng Liu:
A Generalized Short Circuit Ratio for Multi-Infeed LCC-HVDC System. CoRR abs/1701.04969 (2017) - 2016
- [j8]Heng Kong, Zhihui Lai, Xu Wang, Feng Liu
:
Breast cancer discriminant feature analysis for diagnosis via jointly sparse learning. Neurocomputing 177: 198-205 (2016) - [c8]Fuxuan Chen, Feng Liu, Qijun Zhao:
Robust Multi-view Face Alignment Based on Cascaded 2D/3D Face Shape Regression. CCBR 2016: 40-49 - [c7]Feng Liu, Dan Zeng
, Qijun Zhao, Xiaoming Liu:
Joint Face Alignment and 3D Face Reconstruction. ECCV (5) 2016: 545-560 - [c6]Keren Fu, Irene Y. H. Gu
, Anders C. E. Ödblom, Feng Liu:
Geodesic distance transform-based salient region segmentation for automatic traffic sign recognition. Intelligent Vehicles Symposium 2016: 948-953 - 2015
- [j7]Meng Yang
, Pengfei Zhu, Feng Liu, Linlin Shen:
Joint representation and pattern learning for robust face recognition. Neurocomputing 168: 70-80 (2015) - [j6]Feng Liu
, David Zhang
, LinLin Shen:
Study on novel Curvature Features for 3D fingerprint recognition. Neurocomputing 168: 599-608 (2015) - [c5]Meng Yang
, Tiancheng Song, Feng Liu, Linlin Shen:
Structured Regularized Robust Coding for Face Recognition. CCCV (2) 2015: 80-89 - [c4]Feng Liu
, Linlin Shen, David Zhang
:
Feature-Based 3D Reconstruction Model for Close-Range Objects and Its Application to Human Finger. CCCV (2) 2015: 379-393 - [i1]Feng Liu, Dan Zeng, Jing Li, Qijun Zhao:
Cascaded Regressor based 3D Face Reconstruction from a Single Arbitrary View Image. CoRR abs/1509.06161 (2015) - 2014
- [j5]Feng Liu
, David Zhang
:
3D fingerprint reconstruction system using feature correspondences and prior estimated finger model. Pattern Recognit. 47(1): 178-193 (2014) - 2013
- [j4]Feng Liu
, David Zhang
, Zhenhua Guo:
Distal-Interphalangeal-Crease-Based User Authentication System. IEEE Trans. Inf. Forensics Secur. 8(9): 1446-1455 (2013) - [j3]Feng Liu
, David Zhang
, Changjiang Song, Guangming Lu:
Touchless Multiview Fingerprint Acquisition and Mosaicking. IEEE Trans. Instrum. Meas. 62(9): 2492-2502 (2013) - 2011
- [j2]Feng Liu
, Qijun Zhao, David Zhang
:
A novel hierarchical fingerprint matching approach. Pattern Recognit. 44(8): 1604-1613 (2011) - [j1]David Zhang
, Feng Liu
, Qijun Zhao, Guangming Lu, Nan Luo:
Selecting a Reference High Resolution for Fingerprint Recognition Using Minutiae and Pores. IEEE Trans. Instrum. Meas. 60(3): 863-871 (2011) - 2010
- [c3]Qijun Zhao, Feng Liu
, Lei Zhang
, David Zhang
:
A comparative study on quality assessment of high resolution fingerprint images. ICIP 2010: 3089-3092 - [c2]Qijun Zhao, Feng Liu
, Lei Zhang
, David Zhang
:
Parallel versus Hierarchical Fusion of Extended Fingerprint Features. ICPR 2010: 1132-1135 - [c1]Feng Liu
, Qijun Zhao, Lei Zhang
, David Zhang
:
Fingerprint Pore Matching Based on Sparse Representation. ICPR 2010: 1630-1633
Coauthor Index

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last updated on 2025-04-18 00:04 CEST by the dblp team
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