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ORCIDLi Liu 0002
Person information
- affiliation (since 2016): University of Oulu, Center for Machine Vision and Signal Analysis, Oulu, Finland
- affiliation (2015-2016): Chinese University of Hong Kong, Multimedia Laboratory, Hong Kong
- affiliation (PhD 2012): National University of Defense Technology, Changsha, China
- affiliation (2008-2010): University of Waterloo, Canada
Other persons with the same name
- Li Liu — disambiguation page
- Li Liu 0001
![[0000-0002-4776-5292]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-4776-5292")
— Chongqing University, School of Software Engineering, China (and 3 more) - Li Liu 0003 — Umea University, Sweden
- Li Liu 0004 — Inception Institute of Artificial Intelligence, Abu Dhabi, UAE (and 6 more)
- Li Liu 0005 — The University of Sydney, Australia
- Li Liu 0006 — Zheijiang University, Hangzhou, China
- Li Liu 0007 — Controls-Common Cummins Inc., Columbus, IN, USA
- Li Liu 0008 — Arizona State University, Tempe, AZ, USA (and 1 more)
- Li Liu 0009 — FutureWei Technologies, CA, USA (and 1 more)
- Li Liu 0010 — University of Shanghai for Science and Technology, Engineering Research Center of Optical Instrument and System, China (and 1 more)
- Li Liu 0011 — University of Science and Technology, Beijing, China
- Li Liu 0012 — University of California, Irvine, CA, USA
- Li Liu 0013 — Dalian University of Technology, School of Software, Dalian, China (and 1 more)
- Li Liu 0014 — Huazhong University of Science and Technology, Wuhan, China
- Li Liu 0015 — Beijing Normal University, China
- Li Liu 0016 — California State University, Department of Computer Science, Northridge, CA, USA (and 3 more)
- Li Liu 0017 — Chinese University of Hong Kong, Department of Electronic Engineering, Robotics, Perception, and Artificial Intelligence Lab, Hong Kong (and 3 more)
- Li Liu 0018 — Nanyang Technology University, Singapore
- Li Liu 0019 (aka: Li Michael Liu) — Peking University, China (and 1 more)
- Li Liu 0020 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Li Liu 0021 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Li Liu 0022 — Hohai University, Department of Information and Communication Systems, Changzhou, China
- Li Liu 0023 — Shanghai University, School of Mechatronic Engineering and Automation, China (and 1 more)
- Li Liu 0024 — Tianjin University, School of Electronics and Information Engineering, China (and 1 more)
- Li Liu 0026 — University of Science and Technology Beijing, School of Automation and Electrical Engineering, China
- Li Liu 0027 — Hefei University of Technology, School of Mathematics, China
- Li Liu 0028 — Soochow University, Suzhou, Jiangsu, China (and 1 more)
- Li Liu 0029 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China (and 1 more)
- Li Liu 0030 — Chongqing University of Posts and Telecommunications, Chongqing Key Laboratory of Computational Intelligence, China (and 2 more)
- Li Liu 0031 — Shandong Normal University, School of Information Science and Engineering, Jinan, China
- Li Liu 0032 — Kunming University of Science and Technology, Faculty of Information Engineering and Automation, Computer Technology Application Key Lab of Yunnan Province, Kunming, China (and 1 more)
- Li Liu 0033 — University of Technology, Faculty of Engineering and Information Technology, Sydney, Australia
- Li Liu 0034 — Taiyuan University of Technology, College of Physics and Optoelectronics, Taiyuan, China
- Li Liu 0035 — Arizona State University, College of Health Solutions, Biodesign Institute, Tempe, AZ, USA (and 1 more)
- Li Liu 0036 — Shenzhen Research Institute of Big Data, China (and 1 more)
- Li Liu 0037 — Worcester Polytechnic Institute, Department of Biomedical Engineering, Worcester, MA, USA
- Li Liu 0038 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- Li Liu 0039 — University of Michigan, Department of Aerospace Engineering, Ann Arbor, MI, USA
- Li Liu 0040 — Shenzhen University, College of Electron and Information Engineering, China
- Li Liu 0041 — Changsha University of Science and Technology, School of Computer and Communication Engineering, Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation, Changsha, China
- Li Liu 0042 — University of New South Wales, School of Civil & Environmental Engineering, Sydney, Australia
- Li Liu 0043 — Beijing University of Posts and Telecommunications, School of Science, State Key Laboratory of Networking and Switching Technology, Beijing, China
- Li Liu 0044 — China Centre for Resources Satellite Data and Application, Beijing, China
- Li Liu 0045 — George Mason University, Fairfax, VA, USA
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2020 – today
- 2024
[j103]Jinyu Lu, Guoqiang Liu, Bing Sun, Chao Li, Li Liu:
Improved (Related-Key) Differential-Based Neural Distinguishers for SIMON and SIMECK Block Ciphers. Comput. J. 67(2): 537-547 (2024)- [j102]Yulan Guo, Hanyun Wang, Longguang Wang, Yinjie Lei, Li Liu, Mohammed Bennamoun:
3D Face Recognition: Two Decades of Progress and Prospects. ACM Comput. Surv. 56(3): 54:1-54:39 (2024) - [j101]Mingyao Chen, Jingyuan Xia, Tianpeng Liu, Li Liu:
An Integrated Network for SA-ISAR Image Processing With Adaptive Denoising and Super-Resolution Modules. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j100]Xijie Wu, Tianpeng Liu, Yongxiang Liu, Li Liu:
An Autonomous Feature Detection Method of Slow Small Targets on Sea Surface Based on Contextual Bandit. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j99]Linbin Zhang, Xiangguang Leng, Xiaojie Ma, Kefeng Ji, Gangyao Kuang, Li Liu:
Data Distribution Loss for Imbalanced SAR Vehicle Target Recognition. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j98]Jie Zhou, Bo Peng, Jianyue Xie, Bowen Peng, Li Liu, Xiang Li:
Conditional Random Field-Based Adversarial Attack Against SAR Target Detection. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j97]Li Liu, Timothy M. Hospedales, Yann LeCun, Mingsheng Long, Jiebo Luo, Wanli Ouyang, Matti Pietikäinen, Tinne Tuytelaars:
Editorial: Learning With Fewer Labels in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1319-1326 (2024) - [j96]Yun Liu, Yu-Huan Wu, Shi-Chen Zhang, Li Liu, Min Wu, Ming-Ming Cheng:
Revisiting Computer-Aided Tuberculosis Diagnosis. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2316-2332 (2024) - [j95]Mingyao Chen, Jingyuan Xia, Tianpeng Liu, Li Liu, Yongxiang Liu:
Open Set Recognition and Category Discovery Framework for SAR Target Classification Based on K-Contrast Loss and Deep Clustering. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 3489-3501 (2024) - [j94]Xinhua Jiang, Tianpeng Liu, Yongxiang Liu, Shuanghui Zhang, Huangxing Lin, Li Liu:
An Azimuth Aware Deep Reinforcement Learning Framework for Active SAR Target Recognition. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 4936-4951 (2024) - [j93]Xiaoting Wu, Xueyi Zhang, Xiaoyi Feng, Miguel Bordallo López, Li Liu:
Audio-Visual Kinship Verification: A New Dataset and a Unified Adaptive Adversarial Multimodal Learning Approach. IEEE Trans. Cybern. 54(3): 1523-1536 (2024) - [j92]Yan Zhao, Lingjun Zhao, Siqian Zhang, Kefeng Ji, Gangyao Kuang, Li Liu:
Azimuth-Aware Subspace Classifier for Few-Shot Class-Incremental SAR ATR. IEEE Trans. Geosci. Remote. Sens. 62: 1-20 (2024) - [j91]Jiaojiao Su, Qiwu Luo, Chunhua Yang, Weihua Gui, Olli Silvén, Li Liu:
PMSA-DyTr: Prior-Modulated and Semantic-Aligned Dynamic Transformer for Strip Steel Defect Detection. IEEE Trans. Ind. Informatics 20(4): 6684-6695 (2024) - [j90]Qiwu Luo, Ben Li, Jiaojiao Su, Chunhua Yang, Weihua Gui, Olli Silvén, Li Liu:
CDDNet: Camouflaged Defect Detection Network for Steel Surface. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j89]Huali Xu, Li Liu, Shuaifeng Zhi, Shaojing Fu, Zhuo Su, Ming-Ming Cheng, Yongxiang Liu:
Enhancing Information Maximization With Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning. IEEE Trans. Image Process. 33: 2058-2073 (2024) - [j88]Yawen Cui, Zitong Yu, Wei Peng, Qi Tian, Li Liu:
Rethinking Few-Shot Class-Incremental Learning With Open-Set Hypothesis in Hyperbolic Geometry. IEEE Trans. Multim. 26: 5897-5910 (2024) - [j87]Yuli Sun, Lin Lei, Dongdong Guan, Junzheng Wu, Gangyao Kuang, Li Liu:
Image Regression With Structure Cycle Consistency for Heterogeneous Change Detection. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1613-1627 (2024) - [i38]Bowen Peng, Bo Peng, Jingyuan Xia, Tianpeng Liu, Yongxiang Liu, Li Liu:
Towards Assessing the Synthetic-to-Measured Adversarial Vulnerability of SAR ATR. CoRR abs/2401.17038 (2024) - 2023
- [j86]Bowen Peng, Jianyue Xie, Bo Peng, Li Liu:
Learning Invariant Representation Via Contrastive Feature Alignment for Clutter Robust SAR ATR. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j85]Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, Theodoros Georgiou, Paul W. Fieguth, Li Liu, Michael S. Lew:
Deep Learning for Instance Retrieval: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7270-7292 (2023) - [j84]Shuzhou Sun, Shuaifeng Zhi, Qing Liao, Janne Heikkilä, Li Liu:
Unbiased Scene Graph Generation via Two-Stage Causal Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12562-12580 (2023) - [j83]Zhuo Su, Jiehua Zhang, Longguang Wang, Hua Zhang, Zhen Liu, Matti Pietikäinen, Li Liu:
Lightweight Pixel Difference Networks for Efficient Visual Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14956-14974 (2023) - [j82]Linbin Zhang, Xiangguang Leng, Sijia Feng, Xiaojie Ma, Kefeng Ji, Gangyao Kuang, Li Liu:
Azimuth-Aware Discriminative Representation Learning for Semi-Supervised Few-Shot SAR Vehicle Recognition. Remote. Sens. 15(2): 331 (2023) - [j81]Yun Cheng, Tianpeng Liu, Junpeng Shi, Li Liu, Yongxiang Liu:
Redundancy-Reduced Sparsity-Based Adaptive Beamforming for Polarization-Sensitive Arrays. IEEE Signal Process. Lett. 30: 1802-1806 (2023) - [j80]Weijie Li, Wei Yang, Wenpeng Zhang, Tianpeng Liu, Yongxiang Liu, Li Liu:
Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle Recognition. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 10088-10106 (2023) - [j79]Heyan Chai, Zhe Yin, Ye Ding, Li Liu, Binxing Fang, Qing Liao:
A Model-Agnostic Approach to Mitigate Gradient Interference for Multi-Task Learning. IEEE Trans. Cybern. 53(12): 7810-7823 (2023) - [j78]Yuli Sun, Lin Lei, Li Liu, Gangyao Kuang:
Structural Regression Fusion for Unsupervised Multimodal Change Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [j77]Chao Xiao, Ting Liu, Xinyi Ying, Yingqian Wang, Miao Li, Li Liu, Wei An, Zhijie Chen:
Incorporating Deep Background Prior Into Model-Based Method for Unsupervised Moving Vehicle Detection in Satellite Videos. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j76]Yan Zhao, Lingjun Zhao, Ding Ding, Dewen Hu, Gangyao Kuang, Li Liu:
Few-Shot Class-Incremental SAR Target Recognition via Cosine Prototype Learning. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [j75]Qiwu Luo, Handong He, Kexin Liu, Chunhua Yang, Olli Silvén, Li Liu:
Rain-Like Layer Removal From Hot-Rolled Steel Strip Based on Attentive Dual Residual Generative Adversarial Network. IEEE Trans. Instrum. Meas. 72: 1-15 (2023) - [j74]Jiajie Liu, Bing Sun, Guoqiang Liu, Xinfeng Dong, Li Liu, Hua Zhang, Chao Li:
New Wine Old Bottles: Feistel Structure Revised. IEEE Trans. Inf. Theory 69(3): 2000-2008 (2023) - [j73]Yawen Cui, Wanxia Deng, Xin Xu, Zhen Liu, Zhong Liu, Matti Pietikäinen, Li Liu:
Uncertainty-Guided Semi-Supervised Few-Shot Class-Incremental Learning With Knowledge Distillation. IEEE Trans. Multim. 25: 6422-6435 (2023) - [j72]Changchong Sheng, Li Liu, Wanxia Deng, Liang Bai, Zhong Liu, Songyang Lao, Gangyao Kuang, Matti Pietikäinen:
Importance-Aware Information Bottleneck Learning Paradigm for Lip Reading. IEEE Trans. Multim. 25: 6563-6574 (2023) - [j71]Wei Chen, Haoyang Xu, Nan Pu, Yu Liu, Mingrui Lao, Weiping Wang, Li Liu, Michael S. Lew:
Lifelong Fine-Grained Image Retrieval. IEEE Trans. Multim. 25: 7533-7544 (2023) - [j70]Siwei Wang, Xinwang Liu, Li Liu, Sihang Zhou, En Zhu:
Late Fusion Multiple Kernel Clustering With Proxy Graph Refinement. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4359-4370 (2023) - [j69]Ruoyu Chen, Jingzhi Li, Hua Zhang, Changchong Sheng, Li Liu, Xiaochun Cao:
Sim2Word: Explaining Similarity with Representative Attribute Words via Counterfactual Explanations. ACM Trans. Multim. Comput. Commun. Appl. 19(6): 220:1-220:22 (2023) - [c40]Shanshan Huang, Qingsong Li, Lei Wang, Yuanhao Wang, Li Liu:
Score-based causal feature selection for cancer risk prediction. ICME 2023: 198-203 - [c39]Jiangming Chen, Wanxia Deng, Bo Peng, Tianpeng Liu, Yingmei Wei, Li Liu:
Variational Information Bottleneck for Cross Domain Object Detection. ICME 2023: 2231-2236 - [c38]Zhuo Su, Matti Pietikäinen, Li Liu:
From Local Binary Patterns to Pixel Difference Networks for Efficient Visual Representation Learning. SCIA (2) 2023: 138-155 - [c37]Janne Mustaniemi, Juho Kannala, Esa Rahtu, Li Liu, Janne Heikkilä:
BS3D: Building-Scale 3D Reconstruction from RGB-D Images. SCIA (2) 2023: 551-565 - [i37]Janne Mustaniemi, Juho Kannala, Esa Rahtu, Li Liu, Janne Heikkilä:
BS3D: Building-scale 3D Reconstruction from RGB-D Images. CoRR abs/2301.01057 (2023) - [i36]Yawen Cui, Wanxia Deng, Haoyu Chen, Li Liu:
Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning. CoRR abs/2301.09964 (2023) - [i35]Zhuo Su, Matti Pietikäinen, Li Liu:
From Local Binary Patterns to Pixel Difference Networks for Efficient Visual Representation Learning. CoRR abs/2303.08414 (2023) - [i34]Xinyi Ying, Li Liu, Yingqian Wang, Ruojing Li, Nuo Chen, Zaiping Lin, Weidong Sheng, Shilin Zhou:
Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection with Single Point Supervision. CoRR abs/2304.01484 (2023) - [i33]Bowen Peng, Jianyue Xie, Bo Peng, Li Liu:
Learning Invariant Representation via Contrastive Feature Alignment for Clutter Robust SAR Target Recognition. CoRR abs/2304.01747 (2023) - [i32]Zhuo Su, Jiehua Zhang, Tianpeng Liu, Zhen Liu, Shuanghui Zhang, Matti Pietikäinen, Li Liu:
Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution. CoRR abs/2304.06305 (2023) - [i31]Yuchen Sun, Tianpeng Liu, Panhe Hu, Qing Liao, Shouling Ji, Nenghai Yu, Deke Guo, Li Liu:
Deep Intellectual Property: A Survey. CoRR abs/2304.14613 (2023) - [i30]Peng Zhao, Jiehua Zhang, Bowen Peng, Longguang Wang, Yingmei Wei, Yu Liu, Li Liu:
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks. CoRR abs/2312.13575 (2023) - 2022
- [j68]Lingjun Zhao, Qishan He, Ding Ding, Siqian Zhang, Gangyao Kuang, Li Liu:
Selecting pseudo supervision for unsupervised domain adaptive SAR target classification. EURASIP J. Adv. Signal Process. 2022(1): 84 (2022) - [j67]Xiaoting Wu, Xiaoyi Feng, Xiaochun Cao, Xin Xu, Dewen Hu, Miguel Bordallo López, Li Liu:
Facial Kinship Verification: A Comprehensive Review and Outlook. Int. J. Comput. Vis. 130(6): 1494-1525 (2022) - [j66]Bowen Peng, Bo Peng, Jie Zhou, Jingyuan Xia, Li Liu:
Speckle-Variant Attack: Toward Transferable Adversarial Attack to SAR Target Recognition. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j65]Chao Xiao, Qian Yin, Xinyi Ying, Ruojing Li, Shuanglin Wu, Miao Li, Li Liu, Wei An, Zhijie Chen:
DSFNet: Dynamic and Static Fusion Network for Moving Object Detection in Satellite Videos. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j64]Yawen Cui, Qing Liao, Dewen Hu, Wei An, Li Liu:
Coarse-to-fine pseudo supervision guided meta-task optimization for few-shot object classification. Pattern Recognit. 122: 108296 (2022) - [j63]Qiwu Luo, Jiaojiao Su, Chunhua Yang, Olli Silvén, Li Liu:
Scale-selective and noise-robust extended local binary pattern for texture classification. Pattern Recognit. 132: 108901 (2022) - [j62]Bowen Peng, Bo Peng, Shaowei Yong, Li Liu:
An Empirical Study of Fully Black-Box and Universal Adversarial Attack for SAR Target Recognition. Remote. Sens. 14(16): 4017 (2022) - [j61]Xinyi Ying, Yingqian Wang, Longguang Wang, Weidong Sheng, Li Liu, Zaiping Lin, Shilin Zhou:
Local Motion and Contrast Priors Driven Deep Network for Infrared Small Target Superresolution. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 5480-5495 (2022) - [j60]Jinping Sui, Zhen Liu, Li Liu, Alexander Jung, Xiang Li:
Dynamic Sparse Subspace Clustering for Evolving High-Dimensional Data Streams. IEEE Trans. Cybern. 52(6): 4173-4186 (2022) - [j59]Wanxia Deng, Lingjun Zhao, Gangyao Kuang, Dewen Hu, Matti Pietikäinen, Li Liu:
Deep Ladder-Suppression Network for Unsupervised Domain Adaptation. IEEE Trans. Cybern. 52(10): 10735-10749 (2022) - [j58]Bowen Peng, Bo Peng, Jie Zhou, Jianyue Xie, Li Liu:
Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j57]Yuli Sun, Lin Lei, Dongdong Guan, Gangyao Kuang, Li Liu:
Graph Signal Processing for Heterogeneous Change Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-23 (2022) - [j56]Yuan Wang, Abdugheni Abliz, Hongbing Ma, Li Liu, Alishir Kurban, Ümüt Halik, Matti Pietikäinen, Wenjuan Wang:
Hyperspectral Estimation of Soil Copper Concentration Based on Improved TabNet Model in the Eastern Junggar Coalfield. IEEE Trans. Geosci. Remote. Sens. 60: 1-20 (2022) - [j55]Linbin Zhang, Xiangguang Leng, Sijia Feng, Xiaojie Ma, Kefeng Ji, Gangyao Kuang, Li Liu:
Domain Knowledge Powered Two-Stream Deep Network for Few-Shot SAR Vehicle Recognition. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j54]Yan Zhao, Lingjun Zhao, Zhong Liu, Dewen Hu, Gangyao Kuang, Li Liu:
Attentional Feature Refinement and Alignment Network for Aircraft Detection in SAR Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j53]Qiwu Luo, Jiaojiao Su, Chunhua Yang, Weihua Gui, Olli Silvén, Li Liu:
CAT-EDNet: Cross-Attention Transformer-Based Encoder-Decoder Network for Salient Defect Detection of Strip Steel Surface. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j52]Wei Chen, Yu Liu, Nan Pu, Weiping Wang, Li Liu, Michael S. Lew:
Feature Estimations Based Correlation Distillation for Incremental Image Retrieval. IEEE Trans. Multim. 24: 1844-1856 (2022) - [j51]Wanxia Deng, Lingjun Zhao, Qing Liao, Deke Guo, Gangyao Kuang, Dewen Hu, Matti Pietikäinen, Li Liu:
Informative Feature Disentanglement for Unsupervised Domain Adaptation. IEEE Trans. Multim. 24: 2407-2421 (2022) - [j50]Changchong Sheng, Xinzhong Zhu, Huiying Xu, Matti Pietikäinen, Li Liu:
Adaptive Semantic-Spatio-Temporal Graph Convolutional Network for Lip Reading. IEEE Trans. Multim. 24: 3545-3557 (2022) - [j49]Cong Chen, Shouyang Dong, Ye Tian, Kunlin Cao, Li Liu, Yuanhao Guo:
Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection. IEEE Trans. Multim. 24: 3679-3692 (2022) - [c36]Zhuo Su, Max Welling, Matti Pietikäinen, Li Liu:
SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation. 3DV 2022: 547-556 - [c35]Siwei Wang, Xinwang Liu, Li Liu, Wenxuan Tu, Xinzhong Zhu, Jiyuan Liu, Sihang Zhou, En Zhu:
Highly-efficient Incomplete Largescale Multiview Clustering with Consensus Bipartite Graph. CVPR 2022: 9766-9775 - [c34]Longguang Wang, Xiaoyu Dong, Yingqian Wang, Li Liu, Wei An, Yulan Guo:
Learnable Lookup Table for Neural Network Quantization. CVPR 2022: 12413-12423 - [c33]Jiehua Zhang, Zhuo Su, Yanghe Feng, Xin Lu, Matti Pietikäinen, Li Liu:
Dynamic Binary Neural Network by Learning Channel-Wise Thresholds. ICASSP 2022: 1885-1889 - [c32]Xueyi Zhang, Chengwei Zhang, Jinping Sui, Changchong Sheng, Wanxia Deng, Li Liu:
Boosting Lip Reading with a Multi-View Fusion Network. ICME 2022: 1-6 - [i29]Xinyi Ying, Yingqian Wang, Longguang Wang, Weidong Sheng, Li Liu, Zaiping Lin, Shilin Zhou:
MoCoPnet: Exploring Local Motion and Contrast Priors for Infrared Small Target Super-Resolution. CoRR abs/2201.01014 (2022) - [i28]Jinyu Lu, Guoqiang Liu, Yunwen Liu, Bing Sun, Chao Li, Li Liu:
Improved Neural Distinguishers with (Related-key) Differentials: Applications in SIMON and SIMECK. CoRR abs/2201.03767 (2022) - [i27]Yan Zhao, Lingjun Zhao, Zhong Liu, Dewen Hu, Gangyao Kuang, Li Liu:
Attentional Feature Refinement and Alignment Network for Aircraft Detection in SAR Imagery. CoRR abs/2201.07124 (2022) - [i26]Changchong Sheng, Gangyao Kuang, Liang Bai, Chenping Hou, Yulan Guo, Xin Xu, Matti Pietikäinen, Li Liu:
Deep Learning for Visual Speech Analysis: A Survey. CoRR abs/2205.10839 (2022) - [i25]Jiehua Zhang, Zhuo Su, Li Liu:
Median Pixel Difference Convolutional Network for Robust Face Recognition. CoRR abs/2205.15867 (2022) - [i24]Yawen Cui, Zitong Yu, Wei Peng, Li Liu:
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry. CoRR abs/2207.09963 (2022) - [i23]Yuli Sun, Lin Lei, Dongdong Guan, Gangyao Kuang, Li Liu:
Graph Signal Processing for Heterogeneous Change Detection Part I: Vertex Domain Filtering. CoRR abs/2208.01881 (2022) - [i22]Yuli Sun, Lin Lei, Dongdong Guan, Gangyao Kuang, Li Liu:
Graph Signal Processing for Heterogeneous Change Detection Part II: Spectral Domain Analysis. CoRR abs/2208.01905 (2022) - [i21]Bowen Peng, Bo Peng, Jie Zhou, Jianyue Xie, Li Liu:
Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense. CoRR abs/2209.04779 (2022) - [i20]Zhuo Su, Max Welling, Matti Pietikäinen, Li Liu:
SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation. CoRR abs/2209.05924 (2022) - [i19]Wuti Xiong, Li Liu:
CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection. CoRR abs/2210.05311 (2022) - [i18]Jiehua Zhang, Xueyang Zhang, Zhuo Su, Zitong Yu, Yanghe Feng, Xin Lu, Matti Pietikäinen, Li Liu:
Boosting Binary Neural Networks via Dynamic Thresholds Learning. CoRR abs/2211.02292 (2022) - [i17]Jinyu Lu, Guoqiang Liu, Yunwen Liu, Bing Sun, Chao Li, Li Liu:
Improved Neural Distinguishers with (Related-key) Differentials: Applications in SIMON and SIMECK. IACR Cryptol. ePrint Arch. 2022: 30 (2022) - 2021
- [j48]Wenzhe Liu, Zhuo Su, Li Liu:
Beyond Vanilla Convolution: Random Pixel Difference Convolution for Face Perception. IEEE Access 9: 139248-139259 (2021) - [j47]Wei Chen, Weiping Wang, Li Liu, Michael S. Lew:
New Ideas and Trends in Deep Multimodal Content Understanding: A Review. Neurocomputing 426: 195-215 (2021) - [j46]Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
A review of uncertainty quantification in deep learning: Techniques, applications and challenges. Inf. Fusion 76: 243-297 (2021) - [j45]Xiaochang Hu, Yujun Zeng, Xin Xu, Sihang Zhou, Li Liu:
Robust semi-supervised classification based on data augmented online ELMs with deep features. Knowl. Based Syst. 229: 107307 (2021) - [j44]Xinwang Liu, Miaomiao Li, Chang Tang, Jingyuan Xia, Jian Xiong, Li Liu, Marius Kloft, En Zhu:
Efficient and Effective Regularized Incomplete Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2634-2646 (2021) - [j43]Yulan Guo, Hanyun Wang, Qingyong Hu, Hao Liu, Li Liu, Mohammed Bennamoun:
Deep Learning for 3D Point Clouds: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4338-4364 (2021) - [j42]Wanxia Deng, Zhuo Su, Qiang Qiu, Lingjun Zhao, Gangyao Kuang, Matti Pietikäinen, Huaxin Xiao, Li Liu:
Deep ladder reconstruction-classification network for unsupervised domain adaptation. Pattern Recognit. Lett. 152: 398-405 (2021) - [j41]Wenzhe Liu, Jiehua Zhang, Zhuo Su, Zhongzhu Zhou, Li Liu:
Binary Neural Network for Automated Visual Surface Defect Detection. Sensors 21(20): 6868 (2021) - [j40]Shan Gao, Qixiang Ye, Li Liu, Arjan Kuijper, Xiangyang Ji:
A Graphical Social Topology Model for RGB-D Multi-Person Tracking. IEEE Trans. Circuits Syst. Video Technol. 31(11): 4305-4320 (2021) - [j39]Jie Wu, Wenzhang Zhuge, Xinwang Liu, Li Liu, Chenping Hou:
Fragmentary Multi-Instance Classification. IEEE Trans. Cybern. 51(10): 5156-5169 (2021) - [j38]Jiancheng Cai, Hu Han, Jiyun Cui, Jie Chen, Li Liu, S. Kevin Zhou:
Semi-Supervised Natural Face De-Occlusion. IEEE Trans. Inf. Forensics Secur. 16: 1044-1057 (2021) - [j37]Qiwu Luo, Kexin Liu, Jiaojiao Su, Chunhua Yang, Weihua Gui, Li Liu, Olli Silvén:
Waterdrop Removal From Hot-Rolled Steel Strip Surfaces Based on Progressive Recurrent Generative Adversarial Networks. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j36]Wanxia Deng, Qing Liao, Lingjun Zhao, Deke Guo, Gangyao Kuang, Dewen Hu, Li Liu:
Joint Clustering and Discriminative Feature Alignment for Unsupervised Domain Adaptation. IEEE Trans. Image Process. 30: 7842-7855 (2021) - [c31]Jiehua Zhang, Zhuo Su, Li Liu:
Median Pixel Difference Convolutional Network for Robust Face Recognition. BMVC 2021: 19 - [c30]Wuti Xiong, Yawen Cui, Li Liu:
Semi-Supervised Few-Shot Object Detection with a Teacher-Student Network. BMVC 2021: 290 - [c29]Qishan He, Lingjun Zhao, Gangyao Kuang, Li Liu:
SAR Target Recognition Based on Model Transfer and Hinge Loss with Limited Data. CICAI 2021: 191-201 - [c28]Zhuo Su, Wenzhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikäinen, Li Liu:
Pixel Difference Networks for Efficient Edge Detection. ICCV 2021: 5097-5107 - [c27]Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang:
Localized Simple Multiple Kernel K-means. ICCV 2021: 9273-9281 - [c26]Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Li Liu, Siqi Wang, Weixuan Liang, Jiangyong Shi:
One-pass Multi-view Clustering for Large-scale Data. ICCV 2021: 12324-12333 - [c25]Yawen Cui, Wuti Xiong, Mohammad Tavakolian, Li Liu:
Semi-Supervised Few-Shot Class-Incremental Learning. ICIP 2021: 1239-1243 - [c24]Lingjun Zhao, Wanxia Deng, Gangyao Kuang, Dewen Hu, Li Liu:
Transferable Discriminative Feature Mining For Unsupervised Domain Adaptation. ICIP 2021: 1259-1263 - [c23]Xinwang Liu, Li Liu, Qing Liao, Siwei Wang, Yi Zhang, Wenxuan Tu, Chang Tang, Jiyuan Liu, En Zhu:
One Pass Late Fusion Multi-view Clustering. ICML 2021: 6850-6859 - [c22]Wanxia Deng, Yawen Cui, Zhen Liu, Gangyao Kuang, Dewen Hu, Matti Pietikäinen, Li Liu:
Informative Class-Conditioned Feature Alignment for Unsupervised Domain Adaptation. ACM Multimedia 2021: 1303-1312 - [c21]Changchong Sheng, Matti Pietikäinen, Qi Tian, Li Liu:
Cross-modal Self-Supervised Learning for Lip Reading: When Contrastive Learning meets Adversarial Training. ACM Multimedia 2021: 2456-2464 - [i16]Delu Zeng, Minyu Liao, Mohammad Tavakolian, Yulan Guo, Bolei Zhou, Dewen Hu, Matti Pietikäinen, Li Liu:
Deep Learning for Scene Classification: A Survey. CoRR abs/2101.10531 (2021) - [i15]Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, Theodoros Georgiou, Paul W. Fieguth, Li Liu, Michael S. Lew:
Deep Image Retrieval: A Survey. CoRR abs/2101.11282 (2021) - [i14]Zhuo Su, Wenzhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikäinen, Li Liu:
Pixel Difference Networks for Efficient Edge Detection. CoRR abs/2108.07009 (2021) - [i13]Jiehua Zhang, Zhuo Su, Yanghe Feng, Xin Lu, Matti Pietikäinen, Li Liu:
Dynamic Binary Neural Network by learning channel-wise thresholds. CoRR abs/2110.05185 (2021) - 2020
- [j35]Li Liu, Wanli Ouyang, Xiaogang Wang, Paul W. Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen:
Deep Learning for Generic Object Detection: A Survey. Int. J. Comput. Vis. 128(2): 261-318 (2020) - [j34]Li Liu, Matti Pietikäinen, Jie Qin, Wanli Ouyang, Luc Van Gool:
Efficient Visual Recognition. Int. J. Comput. Vis. 128(8): 1997-2001 (2020) - [j33]Xinwang Liu, Lei Wang, Xinzhong Zhu, Miaomiao Li, En Zhu, Tongliang Liu, Li Liu, Yong Dou, Jianping Yin:
Absent Multiple Kernel Learning Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1303-1316 (2020) - [j32]Mohammad Tavakolian, Miguel Bordallo López, Li Liu:
Self-supervised pain intensity estimation from facial videos via statistical spatiotemporal distillation. Pattern Recognit. Lett. 140: 26-33 (2020) - [j31]Linbin Zhang, Caiguang Zhang, Sinong Quan, Huaxin Xiao, Gangyao Kuang, Li Liu:
A Class Imbalance Loss for Imbalanced Object Recognition. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 2778-2792 (2020) - [j30]Qiwu Luo, Xiaoxin Fang, Li Liu, Chunhua Yang, Yichuang Sun:
Automated Visual Defect Detection for Flat Steel Surface: A Survey. IEEE Trans. Instrum. Meas. 69(3): 626-644 (2020) - [j29]Qiwu Luo, Xiaoxin Fang, Jiaojiao Su, Jian Zhou, Bingxing Zhou, Chunhua Yang, Li Liu, Weihua Gui, Lu Tian:
Automated Visual Defect Classification for Flat Steel Surface: A Survey. IEEE Trans. Instrum. Meas. 69(12): 9329-9349 (2020) - [j28]Longguang Wang, Yulan Guo, Li Liu, Zaiping Lin, Xinpu Deng, Wei An:
Deep Video Super-Resolution Using HR Optical Flow Estimation. IEEE Trans. Image Process. 29: 4323-4336 (2020) - [j27]Sihang Zhou, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Changwang Zhang, Jianping Yin:
Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1351-1362 (2020) - [c20]Linpu Fang, Xingyan Liu, Li Liu, Hang Xu, Wenxiong Kang:
JGR-P2O: Joint Graph Reasoning Based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image. ECCV (6) 2020: 120-137 - [c19]Zhuo Su, Linpu Fang, Wenxiong Kang, Dewen Hu, Matti Pietikäinen, Li Liu:
Dynamic Group Convolution for Accelerating Convolutional Neural Networks. ECCV (6) 2020: 138-155 - [i12]Longguang Wang, Yulan Guo, Li Liu, Zaiping Lin, Xinpu Deng, Wei An:
Deep Video Super-Resolution using HR Optical Flow Estimation. CoRR abs/2001.02129 (2020) - [i11]Zhuo Su, Linpu Fang, Wenxiong Kang, Dewen Hu, Matti Pietikäinen, Li Liu:
Dynamic Group Convolution for Accelerating Convolutional Neural Networks. CoRR abs/2007.04242 (2020) - [i10]Linpu Fang, Xingyan Liu, Li Liu, Hang Xu, Wenxiong Kang:
JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image. CoRR abs/2007.04646 (2020) - [i9]Cong Chen, Shouyang Dong, Ye Tian, Kunlin Cao, Li Liu, Yuanhao Guo:
Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection. CoRR abs/2007.06144 (2020) - [i8]Wei Chen, Weiping Wang, Li Liu, Michael S. Lew:
New Ideas and Trends in Deep Multimodal Content Understanding: A Review. CoRR abs/2010.08189 (2020) - [i7]Zhuo Su, Linpu Fang, Deke Guo, Dewen Hu, Matti Pietikäinen, Li Liu:
FTBNN: Rethinking Non-linearity for 1-bit CNNs and Going Beyond. CoRR abs/2010.09294 (2020) - [i6]Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges. CoRR abs/2011.06225 (2020)
2010 – 2019
- 2019
- [j26]Qiwu Luo, Xiaoxin Fang, Yichuang Sun, Li Liu, Jiaqiu Ai, Chunhua Yang, Oluyomi Simpson:
Surface Defect Classification for Hot-Rolled Steel Strips by Selectively Dominant Local Binary Patterns. IEEE Access 7: 23488-23499 (2019) - [j25]Chengyu Guo, Jingyun Liang, Geng Zhan, Zhong Liu, Matti Pietikäinen, Li Liu:
Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition. IEEE Access 7: 174517-174530 (2019) - [j24]Li Liu, Jie Chen, Paul W. Fieguth, Guoying Zhao, Rama Chellappa, Matti Pietikäinen:
From BoW to CNN: Two Decades of Texture Representation for Texture Classification. Int. J. Comput. Vis. 127(1): 74-109 (2019) - [j23]Li Liu, Matti Pietikäinen, Jie Chen, Guoying Zhao, Xiaogang Wang, Rama Chellappa:
Guest Editors' Introduction to the Special Section on Compact and Efficient Feature Representation and Learning in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2287-2290 (2019) - [j22]Yu Liu, Yanming Guo, Li Liu, Erwin M. Bakker, Michael S. Lew:
CycleMatch: A cycle-consistent embedding network for image-text matching. Pattern Recognit. 93: 365-379 (2019) - [j21]Qiang Ling, Yulan Guo, Zaiping Lin, Li Liu, Wei An:
A Constrained Sparse-Representation-Based Binary Hypothesis Model for Target Detection in Hyperspectral Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(6): 1933-1947 (2019) - [j20]Li Liu, Jie Chen, Guoying Zhao, Paul W. Fieguth, Xilin Chen, Matti Pietikäinen:
Texture Classification in Extreme Scale Variations Using GANet. IEEE Trans. Image Process. 28(8): 3910-3922 (2019) - [j19]Xiaochao Zhao, Yaping Lin, Li Liu, Janne Heikkilä, Wenming Zheng:
Dynamic Texture Classification Using Unsupervised 3D Filter Learning and Local Binary Encoding. IEEE Trans. Multim. 21(7): 1694-1708 (2019) - [j18]Yu Liu, Wei Chen, Li Liu, Michael S. Lew:
SwapGAN: A Multistage Generative Approach for Person-to-Person Fashion Style Transfer. IEEE Trans. Multim. 21(9): 2209-2222 (2019) - [c18]Zhuo Su, Matti Pietikäinen, Li Liu:
BIRD: Learning Binary and Illumination Robust Descriptor for Face Recognition. BMVC 2019: 102 - [c17]Xiaochao Zhao, Yaping Lin, Li Liu:
Dynamic Texture Recognition Using 3D Random Features. ICASSP 2019: 2102-2106 - [c16]Jinping Sui, Zhen Liu, Li Liu, Alexander Jung, Tianpeng Liu, Bo Peng, Xiang Li:
Sparse Subspace Clustering for Evolving Data Streams. ICASSP 2019: 7455-7459 - [c15]Jiehao Xu, Chengyu Guo, Qingjie Liu, Jie Qin, Yunhong Wang, Li Liu:
DHA: Supervised Deep Learning to Hash with an Adaptive Loss Function. ICCV Workshops 2019: 3054-3062 - [i5]Chengyu Guo, Jingyun Liang, Geng Zhan, Zhong Liu, Matti Pietikäinen, Li Liu:
Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition. CoRR abs/1907.09160 (2019) - [i4]Yulan Guo, Hanyun Wang, Qingyong Hu, Hao Liu, Li Liu, Mohammed Bennamoun:
Deep Learning for 3D Point Clouds: A Survey. CoRR abs/1912.12033 (2019) - 2018
- [j17]Xin Zhang, Yuxiang Xie, Jie Chen, Lingda Wu, Qixiang Ye, Li Liu:
Rotation Invariant Local Binary Convolution Neural Networks. IEEE Access 6: 18420-18430 (2018) - [j16]Yu Liu, Li Liu, Yanming Guo, Michael S. Lew:
Learning visual and textual representations for multimodal matching and classification. Pattern Recognit. 84: 51-67 (2018) - [c14]Na Liu, Baofeng Zhang, Yuan Zong, Li Liu, Jie Chen, Guoying Zhao, Junchao Zhu:
Super Wide Regression Network for Unsupervised Cross-Database Facial Expression Recognition. ICASSP 2018: 1897-1901 - [c13]Na Liu, Yuan Zong, Baofeng Zhang, Li Liu, Jie Chen, Guoying Zhao, Junchao Zhu:
Unsupervised Cross-Corpus Speech Emotion Recognition Using Domain-Adaptive Subspace Learning. ICASSP 2018: 5144-5148 - [c12]Yanming Guo, Yu Liu, Maaike H. T. de Boer, Li Liu, Michael S. Lew:
A Dual Prediction Network for Image Captioning. ICME 2018: 1-6 - [c11]Xinzhong Zhu, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Zhiping Cai, Jianping Yin, Wen Gao:
Localized Incomplete Multiple Kernel k-means. IJCAI 2018: 3271-3277 - [i3]Li Liu, Jie Chen, Paul W. Fieguth, Guoying Zhao, Rama Chellappa, Matti Pietikäinen:
A Survey of Recent Advances in Texture Representation. CoRR abs/1801.10324 (2018) - [i2]Li Liu, Jie Chen, Guoying Zhao, Paul W. Fieguth, Xilin Chen, Matti Pietikäinen:
Texture Classification in Extreme Scale Variations using GANet. CoRR abs/1802.04441 (2018) - [i1]Li Liu, Wanli Ouyang, Xiaogang Wang, Paul W. Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen:
Deep Learning for Generic Object Detection: A Survey. CoRR abs/1809.02165 (2018) - 2017
- [j15]Jie Chen, Vishal M. Patel, Li Liu, Vili Kellokumpu, Guoying Zhao, Matti Pietikäinen, Rama Chellappa:
Robust local features for remote face recognition. Image Vis. Comput. 64: 34-46 (2017) - [j14]Li Liu, Paul W. Fieguth, Yulan Guo, Xiaogang Wang, Matti Pietikäinen:
Local binary features for texture classification: Taxonomy and experimental study. Pattern Recognit. 62: 135-160 (2017) - [c10]Xin Zhang, Li Liu, Yuxiang Xie, Jie Chen, Lingda Wu, Matti Pietikäinen:
Rotation Invariant Local Binary Convolution Neural Networks. ICCV Workshops 2017: 1210-1219 - 2016
- [j13]Jie Chen, Zhen Lei, Li Liu, Guoying Zhao, Matti Pietikäinen:
RoLoD: Robust local descriptors for computer vision. Neurocomputing 184: 1-2 (2016) - [j12]Li Liu, Paul W. Fieguth, Guoying Zhao, Matti Pietikäinen, Dewen Hu:
Extended local binary patterns for face recognition. Inf. Sci. 358-359: 56-72 (2016) - [j11]Li Liu, Liansheng Wang, Lingjun Zhao, Paul W. Fieguth:
Random projections and Single BoW for fast and Robust texture segmentation. Inf. Sci. 370-371: 428-445 (2016) - [j10]Yulan Guo, Yinjie Lei, Li Liu, Yan Wang, Mohammed Bennamoun, Ferdous Ahmed Sohel:
EI3D: Expression-invariant 3D face recognition based on feature and shape matching. Pattern Recognit. Lett. 83: 403-412 (2016) - [j9]Li Liu, Songyang Lao, Paul W. Fieguth, Yulan Guo, Xiaogang Wang, Matti Pietikäinen:
Median Robust Extended Local Binary Pattern for Texture Classification. IEEE Trans. Image Process. 25(3): 1368-1381 (2016) - [c9]Li Liu, Paul W. Fieguth, Xiaogang Wang, Matti Pietikäinen, Dewen Hu:
Evaluation of LBP and Deep Texture Descriptors with a New Robustness Benchmark. ECCV (3) 2016: 69-86 - [c8]Shuxuan Guo, Li Liu, Wei Wang, Songyang Lao, Liang Wang:
An attention model based on spatial transformers for scene recognition. ICPR 2016: 3757-3762 - 2015
- [j8]Yuxiang Xie, Xiao-Ping (Steven) Zhang, Xidao Luan, Li Liu, Xin Zhang:
A novel specific image scenes detection method. Multim. Tools Appl. 74(1): 105-122 (2015) - [j7]Li Liu, Paul W. Fieguth, Dewen Hu, Yingmei Wei, Gangyao Kuang:
Fusing Sorted Random Projections for Robust Texture and Material Classification. IEEE Trans. Circuits Syst. Video Technol. 25(3): 482-496 (2015) - [c7]Li Liu, Paul W. Fieguth, Matti Pietikäinen, Songyang Lao:
Median robust extended local binary pattern for texture classification. ICIP 2015: 2319-2323 - 2014
- [j6]Li Liu, Yunli Long, Paul W. Fieguth, Songyang Lao, Guoying Zhao:
BRINT: Binary Rotation Invariant and Noise Tolerant Texture Classification. IEEE Trans. Image Process. 23(7): 3071-3084 (2014) - [c6]Li Liu, Paul W. Fieguth, Guoying Zhao, Matti Pietikäinen:
Extended local binary pattern fusion for face recognition. ICIP 2014: 718-722 - 2013
- [c5]Li Liu, Bing Yang, Paul W. Fieguth, Zheng Yang, Yingmei Wei:
BRINT: A binary rotation invariant and noise tolerant texture descriptor. ICIP 2013: 255-259 - 2012
- [j5]Li Liu, Lingjun Zhao, Yunli Long, Gangyao Kuang, Paul W. Fieguth:
Extended local binary patterns for texture classification. Image Vis. Comput. 30(2): 86-99 (2012) - [j4]Na Wang, Gongtao Shi, Li Liu, Lingjun Zhao, Gangyao Kuang:
Polarimetric SAR Target Detection Using the Reflection Symmetry. IEEE Geosci. Remote. Sens. Lett. 9(6): 1104-1108 (2012) - [j3]Li Liu, Paul W. Fieguth:
Texture Classification from Random Features. IEEE Trans. Pattern Anal. Mach. Intell. 34(3): 574-586 (2012) - [j2]Li Liu, Paul W. Fieguth, David A. Clausi, Gangyao Kuang:
Sorted random projections for robust rotation-invariant texture classification. Pattern Recognit. 45(6): 2405-2418 (2012) - 2011
- [c4]Li Liu, Paul W. Fieguth, Gangyao Kuang, Hongbin Zha:
Sorted Random Projections for robust texture classification. ICCV 2011: 391-398 - [c3]Li Liu, Paul W. Fieguth, Gangyao Kuang:
Combining sorted random features for texture classification. ICIP 2011: 833-836 - 2010
- [c2]Li Liu, Paul W. Fieguth, Gangyao Kuang:
Compressed Sensing for Robust Texture Classification. ACCV (1) 2010: 383-396 - [c1]Li Liu, Paul W. Fieguth:
Texture CLassification Using Compressed Sensing. CRV 2010: 71-78
2000 – 2009
- 2009
- [j1]Gui Gao, Li Liu, Lingjun Zhao, Gongtao Shi, Gangyao Kuang:
An Adaptive and Fast CFAR Algorithm Based on Automatic Censoring for Target Detection in High-Resolution SAR Images. IEEE Trans. Geosci. Remote. Sens. 47(6): 1685-1697 (2009)
Coauthor Index
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