Li Liu

According to our database, Li Liu authored at least 186 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning.

Yawen Cui, Wanxia Deng, Haoyu Chen, Li Liu

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Deep Learning for Visual Speech Analysis: A Survey.

Changchong Sheng, Gangyao Kuang, Liang Bai, Chenping Hou, Yulan Guo, Xin Xu, Matti Pietikäinen, Li Liu

IEEE Trans. Pattern Anal. Mach. Intell., September, 2024

SplatFlow: Learning Multi-frame Optical Flow via Splatting.

Bo Wang, Yifan Zhang, Jian Li, Yang Yu, Zhenping Sun, Li Liu, Dewen Hu

Int. J. Comput. Vis., August, 2024

PMSA-DyTr: Prior-Modulated and Semantic-Aligned Dynamic Transformer for Strip Steel Defect Detection.

Jiaojiao Su, Qiwu Luo, Chunhua Yang, Weihua Gui, Olli Silvén, Li Liu

IEEE Trans. Ind. Informatics, April, 2024

Revisiting Computer-Aided Tuberculosis Diagnosis.

Yun Liu, Yu-Huan Wu, Shi-Chen Zhang, Li Liu, Min Wu, Ming-Ming Cheng

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Audio-Visual Kinship Verification: A New Dataset and a Unified Adaptive Adversarial Multimodal Learning Approach.

Xiaoting Wu, Xueyi Zhang, Xiaoyi Feng, Miguel Bordallo López, Li Liu

IEEE Trans. Cybern., March, 2024

Editorial: Learning With Fewer Labels in Computer Vision.

Li Liu, Timothy M. Hospedales, Yann LeCun, Mingsheng Long, Jiebo Luo, Wanli Ouyang, Matti Pietikäinen, Tinne Tuytelaars

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

3D Face Recognition: Two Decades of Progress and Prospects.

Yulan Guo, Hanyun Wang, Longguang Wang, Yinjie Lei, Li Liu, Mohammed Bennamoun

ACM Comput. Surv., March, 2024

Image Regression With Structure Cycle Consistency for Heterogeneous Change Detection.

Yuli Sun, Lin Lei, Dongdong Guan, Junzheng Wu, Gangyao Kuang, Li Liu

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Improved (Related-Key) Differential-Based Neural Distinguishers for SIMON and SIMECK Block Ciphers.

Jinyu Lu, Guoqiang Liu, Bing Sun, Chao Li, Li Liu

Comput. J., February, 2024

Rethinking Few-Shot Class-Incremental Learning With Open-Set Hypothesis in Hyperbolic Geometry.

Yawen Cui, Zitong Yu, Wei Peng, Qi Tian, Li Liu

IEEE Trans. Multim., 2024

Enhancing Information Maximization With Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning.

Huali Xu, Li Liu, Shuaifeng Zhi, Shaojing Fu, Zhuo Su, Ming-Ming Cheng, Yongxiang Liu

IEEE Trans. Image Process., 2024

I²GF-Net: Interlayer Information Guidance Feedback Networks for Wood Surface Defect Detection in Complex Texture Backgrounds.

Qiwu Luo, Wenlong Xu, Jiaojiao Su, Chunhua Yang, Weihua Gui, Olli Silvén, Li Liu

IEEE Trans. Instrum. Meas., 2024

CDDNet: Camouflaged Defect Detection Network for Steel Surface.

Qiwu Luo, Ben Li, Jiaojiao Su, Chunhua Yang, Weihua Gui, Olli Silvén, Li Liu

IEEE Trans. Instrum. Meas., 2024

Azimuth-Aware Subspace Classifier for Few-Shot Class-Incremental SAR ATR.

Yan Zhao, Lingjun Zhao, Siqian Zhang, Kefeng Ji, Gangyao Kuang, Li Liu

IEEE Trans. Geosci. Remote. Sens., 2024

From Coarse to Fine: ISAR Object View Interpolation via Flow Estimation and GAN.

Jiawei Zhang, Zhen Liu, Weidong Jiang, Yongxiang Liu, Shuowei Liu, Li Liu

IEEE Trans. Geosci. Remote. Sens., 2024

An Azimuth Aware Deep Reinforcement Learning Framework for Active SAR Target Recognition.

Xinhua Jiang, Tianpeng Liu, Yongxiang Liu, Shuanghui Zhang, Huangxing Lin, Li Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Open Set Recognition and Category Discovery Framework for SAR Target Classification Based on K-Contrast Loss and Deep Clustering.

Mingyao Chen, Jingyuan Xia, Tianpeng Liu, Li Liu, Yongxiang Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A Novel Category Discovery Method for SAR Images Based on an Improved UNO Framework.

Mingyao Chen, Tianpeng Liu, Li Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Decoupled Self-Supervised Subspace Classifier for Few-Shot Class-Incremental SAR Target Recognition.

Yan Zhao, Lingjun Zhao, Siqian Zhang, Li Liu, Kefeng Ji, Gangyao Kuang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Meta-learning based blind image super-resolution approach to different degradations.

Zhixiong Yang, Jingyuan Xia, Shengxi Li, Wende Liu, Shuaifeng Zhi, Shuanghui Zhang, Li Liu, Yaowen Fu, Deniz Gündüz

Neural Networks, 2024

DiffDet4SAR: Diffusion-Based Aircraft Target Detection Network for SAR Images.

Jie Zhou, Chao Xiao, Bo Peng, Zhen Liu, Li Liu, Yongxiang Liu, Xiang Li

IEEE Geosci. Remote. Sens. Lett., 2024

Mitigating SAR Out-of-Distribution Overconfidence Based on Evidential Uncertainty.

Xiaoyan Zhou, Tao Tang, Zhongzhen Sun, Gangyao Kuang, Janne Heikkilä, Li Liu

IEEE Geosci. Remote. Sens. Lett., 2024

Conditional Random Field-Based Adversarial Attack Against SAR Target Detection.

Jie Zhou, Bo Peng, Jianyue Xie, Bowen Peng, Li Liu, Xiang Li

IEEE Geosci. Remote. Sens. Lett., 2024

Data Distribution Loss for Imbalanced SAR Vehicle Target Recognition.

Linbin Zhang, Xiangguang Leng, Xiaojie Ma, Kefeng Ji, Gangyao Kuang, Li Liu

IEEE Geosci. Remote. Sens. Lett., 2024

An Autonomous Feature Detection Method of Slow Small Targets on Sea Surface Based on Contextual Bandit.

Xijie Wu, Tianpeng Liu, Yongxiang Liu, Li Liu

IEEE Geosci. Remote. Sens. Lett., 2024

An Integrated Network for SA-ISAR Image Processing With Adaptive Denoising and Super-Resolution Modules.

Mingyao Chen, Jingyuan Xia, Tianpeng Liu, Li Liu

IEEE Geosci. Remote. Sens. Lett., 2024

Infrared Small Target Detection in Satellite Videos: A New Dataset and A Novel Recurrent Feature Refinement Framework.

Xinyi Ying, Li Liu, Zaipin Lin, Yangsi Shi, Yingqian Wang, Ruojing Li, Xu Cao, Boyang Li, Shilin Zhou

CoRR, 2024

Visible-Thermal Tiny Object Detection: A Benchmark Dataset and Baselines.

Xinyi Ying, Chao Xiao, Ruojing Li, Xu He, Boyang Li, Zhaoxu Li, Yingqian Wang, Mingyuan Hu, Qingyu Xu, Zaiping Lin, Miao Li, Shilin Zhou, Wei An, Weidong Sheng, Li Liu

CoRR, 2024

SceneTracker: Long-term Scene Flow Estimation Network.

Bo Wang, Jian Li, Yang Yu, Li Liu, Zhenping Sun, Dewen Hu

CoRR, 2024

Towards Assessing the Synthetic-to-Measured Adversarial Vulnerability of SAR ATR.

Bowen Peng, Bo Peng, Jingyuan Xia, Tianpeng Liu, Yongxiang Liu, Li Liu

CoRR, 2024

Bilateral Reference for High-Resolution Dichotomous Image Segmentation.

Peng Zheng, Dehong Gao, Deng-Ping Fan, Li Liu, Jorma Laaksonen, Wanli Ouyang, Nicu Sebe

CoRR, 2024

Optimal azimuth angle selection for limited SAR vehicle target recognition.

Linbin Zhang, Xiangguang Leng, Sijia Feng, Xiaojie Ma, Kefeng Ji, Gangyao Kuang, Li Liu

Int. J. Appl. Earth Obs. Geoinformation, 2024

Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds.

Tianrui Lou, Xiaojun Jia, Jindong Gu, Li Liu, Siyuan Liang, Bangyan He, Xiaochun Cao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A Model-Agnostic Approach to Mitigate Gradient Interference for Multi-Task Learning.

Heyan Chai, Zhe Yin, Ye Ding, Li Liu, Binxing Fang, Qing Liao

IEEE Trans. Cybern., December, 2023

Lightweight Pixel Difference Networks for Efficient Visual Representation Learning.

Zhuo Su, Jiehua Zhang, Longguang Wang, Hua Zhang, Zhen Liu, Matti Pietikäinen, Li Liu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Sim2Word: Explaining Similarity with Representative Attribute Words via Counterfactual Explanations.

Ruoyu Chen, Jingzhi Li, Hua Zhang, Changchong Sheng, Li Liu, Xiaochun Cao

ACM Trans. Multim. Comput. Commun. Appl., November, 2023

Unbiased Scene Graph Generation via Two-Stage Causal Modeling.

Shuzhou Sun, Shuaifeng Zhi, Qing Liao, Janne Heikkilä, Li Liu

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Late Fusion Multiple Kernel Clustering With Proxy Graph Refinement.

Siwei Wang, Xinwang Liu, Li Liu, Sihang Zhou, En Zhu

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Deep Learning for Instance Retrieval: A Survey.

Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, Theodoros Georgiou, Paul W. Fieguth, Li Liu, Michael S. Lew

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

New Wine Old Bottles: Feistel Structure Revised.

Jiajie Liu, Bing Sun, Guoqiang Liu, Xinfeng Dong, Li Liu, Hua Zhang, Chao Li

IEEE Trans. Inf. Theory, March, 2023

Azimuth-Aware Discriminative Representation Learning for Semi-Supervised Few-Shot SAR Vehicle Recognition.

Linbin Zhang, Xiangguang Leng, Sijia Feng, Xiaojie Ma, Kefeng Ji, Gangyao Kuang, Li Liu

Remote. Sens., January, 2023

Importance-Aware Information Bottleneck Learning Paradigm for Lip Reading.

Changchong Sheng, Li Liu, Wanxia Deng, Liang Bai, Zhong Liu, Songyang Lao, Gangyao Kuang, Matti Pietikäinen

IEEE Trans. Multim., 2023

Uncertainty-Guided Semi-Supervised Few-Shot Class-Incremental Learning With Knowledge Distillation.

Yawen Cui, Wanxia Deng, Xin Xu, Zhen Liu, Zhong Liu, Matti Pietikäinen, Li Liu

IEEE Trans. Multim., 2023

Lifelong Fine-Grained Image Retrieval.

Wei Chen, Haoyang Xu, Nan Pu, Yu Liu, Mingrui Lao, Weiping Wang, Li Liu, Michael S. Lew

IEEE Trans. Multim., 2023

Rain-Like Layer Removal From Hot-Rolled Steel Strip Based on Attentive Dual Residual Generative Adversarial Network.

Qiwu Luo, Handong He, Kexin Liu, Chunhua Yang, Olli Silvén, Li Liu

IEEE Trans. Instrum. Meas., 2023

Few-Shot Class-Incremental SAR Target Recognition via Cosine Prototype Learning.

Yan Zhao, Lingjun Zhao, Ding Ding, Dewen Hu, Gangyao Kuang, Li Liu

IEEE Trans. Geosci. Remote. Sens., 2023

Incorporating Deep Background Prior Into Model-Based Method for Unsupervised Moving Vehicle Detection in Satellite Videos.

Chao Xiao, Ting Liu, Xinyi Ying, Yingqian Wang, Miao Li, Li Liu, Wei An, Zhijie Chen

IEEE Trans. Geosci. Remote. Sens., 2023

Structural Regression Fusion for Unsupervised Multimodal Change Detection.

Yuli Sun, Lin Lei, Li Liu, Gangyao Kuang

IEEE Trans. Geosci. Remote. Sens., 2023

Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle Recognition.

Weijie Li, Wei Yang, Wenpeng Zhang, Tianpeng Liu, Yongxiang Liu, Li Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Redundancy-Reduced Sparsity-Based Adaptive Beamforming for Polarization-Sensitive Arrays.

Yun Cheng, Tianpeng Liu, Junpeng Shi, Li Liu, Yongxiang Liu

IEEE Signal Process. Lett., 2023

Learning Invariant Representation Via Contrastive Feature Alignment for Clutter Robust SAR ATR.

Bowen Peng, Jianyue Xie, Bo Peng, Li Liu

IEEE Geosci. Remote. Sens. Lett., 2023

Discovering and Explaining the Noncausality of Deep Learning in SAR ATR.

Weijie Li, Wei Yang, Li Liu, Wenpeng Zhang, Yongxiang Liu

IEEE Geosci. Remote. Sens. Lett., 2023

ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks.

Peng Zhao, Jiehua Zhang, Bowen Peng, Longguang Wang, Yingmei Wei, Yu Liu, Li Liu

CoRR, 2023

Few-shot Class-incremental Learning: A Survey.

Jinghua Zhang, Li Liu, Olli Silvén, Matti Pietikäinen, Dewen Hu

CoRR, 2023

Deep Intellectual Property: A Survey.

Yuchen Sun, Tianpeng Liu, Panhe Hu, Qing Liao, Shouling Ji, Nenghai Yu, Deke Guo, Li Liu

CoRR, 2023

Few-shot Class-incremental Pill Recognition.

Jinghua Zhang, Li Liu, Kai Gao, Dewen Hu

CoRR, 2023

Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution.

Zhuo Su, Jiehua Zhang, Tianpeng Liu, Zhen Liu, Shuanghui Zhang, Matti Pietikäinen, Li Liu

CoRR, 2023

Learning Invariant Representation via Contrastive Feature Alignment for Clutter Robust SAR Target Recognition.

Bowen Peng, Jianyue Xie, Bo Peng, Li Liu

CoRR, 2023

Discovering and Explaining the Non-Causality of Deep Learning in SAR ATR.

Weijie Li, Wei Yang, Li Liu, Wenpeng Zhang, Yongxiang Liu

CoRR, 2023

Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey.

Huali Xu, Shuaifeng Zhi, Shuzhou Sun, Vishal M. Patel, Li Liu

CoRR, 2023

From Local Binary Patterns to Pixel Difference Networks for Efficient Visual Representation Learning.

Zhuo Su, Matti Pietikäinen, Li Liu

Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

BS3D: Building-Scale 3D Reconstruction from RGB-D Images.

Janne Mustaniemi, Juho Kannala, Esa Rahtu, Li Liu, Janne Heikkilä

Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

Prophet: An Efficient Feature Indexing Mechanism for Similarity Data Sharing at Network Edge.

Yuchen Sun, Deke Guo, Lailong Luo, Li Liu, Xinyi Li, Junjie Xie

Proceedings of the IEEE INFOCOM 2023, 2023

Score-based causal feature selection for cancer risk prediction.

Shanshan Huang, Qingsong Li, Lei Wang, Yuanhao Wang, Li Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Variational Information Bottleneck for Cross Domain Object Detection.

Jiangming Chen, Wanxia Deng, Bo Peng, Tianpeng Liu, Yingmei Wei, Li Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Evidential Uncertainty and Diversity Guided Active Learning for Scene Graph Generation.

Shuzhou Sun, Shuaifeng Zhi, Janne Heikkilä, Li Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection with Single Point Supervision.

Xinyi Ying, Li Liu, Yingqian Wang, Ruojing Li, Nuo Chen, Zaiping Lin, Weidong Sheng, Shilin Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Adaptive Semantic-Spatio-Temporal Graph Convolutional Network for Lip Reading.

Changchong Sheng, Xinzhong Zhu, Huiying Xu, Matti Pietikäinen, Li Liu

IEEE Trans. Multim., 2022

Informative Feature Disentanglement for Unsupervised Domain Adaptation.

Wanxia Deng, Lingjun Zhao, Qing Liao, Deke Guo, Gangyao Kuang, Dewen Hu, Matti Pietikäinen, Li Liu

IEEE Trans. Multim., 2022

Feature Estimations Based Correlation Distillation for Incremental Image Retrieval.

Wei Chen, Yu Liu, Nan Pu, Weiping Wang, Li Liu, Michael S. Lew

IEEE Trans. Multim., 2022

Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection.

Cong Chen, Shouyang Dong, Ye Tian, Kunlin Cao, Li Liu, Yuanhao Guo

IEEE Trans. Multim., 2022

CAT-EDNet: Cross-Attention Transformer-Based Encoder-Decoder Network for Salient Defect Detection of Strip Steel Surface.

Qiwu Luo, Jiaojiao Su, Chunhua Yang, Weihua Gui, Olli Silvén, Li Liu

IEEE Trans. Instrum. Meas., 2022

Attentional Feature Refinement and Alignment Network for Aircraft Detection in SAR Imagery.

Yan Zhao, Lingjun Zhao, Zhong Liu, Dewen Hu, Gangyao Kuang, Li Liu

IEEE Trans. Geosci. Remote. Sens., 2022

Domain Knowledge Powered Two-Stream Deep Network for Few-Shot SAR Vehicle Recognition.

Linbin Zhang, Xiangguang Leng, Sijia Feng, Xiaojie Ma, Kefeng Ji, Gangyao Kuang, Li Liu

IEEE Trans. Geosci. Remote. Sens., 2022

Hyperspectral Estimation of Soil Copper Concentration Based on Improved TabNet Model in the Eastern Junggar Coalfield.

Yuan Wang, Abdugheni Abliz, Hongbing Ma, Li Liu, Alishir Kurban, Ümüt Halik, Matti Pietikäinen, Wenjuan Wang

IEEE Trans. Geosci. Remote. Sens., 2022

Graph Signal Processing for Heterogeneous Change Detection.

Yuli Sun, Lin Lei, Dongdong Guan, Gangyao Kuang, Li Liu

IEEE Trans. Geosci. Remote. Sens., 2022

Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense.

Bowen Peng, Bo Peng, Jie Zhou, Jianyue Xie, Li Liu

IEEE Trans. Geosci. Remote. Sens., 2022

Dynamic Sparse Subspace Clustering for Evolving High-Dimensional Data Streams.

Jinping Sui, Zhen Liu, Li Liu, Alexander Jung, Xiang Li

IEEE Trans. Cybern., 2022

Deep Ladder-Suppression Network for Unsupervised Domain Adaptation.

Wanxia Deng, Lingjun Zhao, Gangyao Kuang, Dewen Hu, Matti Pietikäinen, Li Liu

IEEE Trans. Cybern., 2022

Local Motion and Contrast Priors Driven Deep Network for Infrared Small Target Superresolution.

Xinyi Ying, Yingqian Wang, Longguang Wang, Weidong Sheng, Li Liu, Zaiping Lin, Shilin Zhou

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

An Empirical Study of Fully Black-Box and Universal Adversarial Attack for SAR Target Recognition.

Bowen Peng, Bo Peng, Shaowei Yong, Li Liu

Remote. Sens., 2022

Scale-selective and noise-robust extended local binary pattern for texture classification.

Qiwu Luo, Jiaojiao Su, Chunhua Yang, Olli Silvén, Li Liu

Pattern Recognit., 2022

Coarse-to-fine pseudo supervision guided meta-task optimization for few-shot object classification.

Yawen Cui, Qing Liao, Dewen Hu, Wei An, Li Liu

Pattern Recognit., 2022

DSFNet: Dynamic and Static Fusion Network for Moving Object Detection in Satellite Videos.

Chao Xiao, Qian Yin, Xinyi Ying, Ruojing Li, Shuanglin Wu, Miao Li, Li Liu, Wei An, Zhijie Chen

IEEE Geosci. Remote. Sens. Lett., 2022

Speckle-Variant Attack: Toward Transferable Adversarial Attack to SAR Target Recognition.

Bowen Peng, Bo Peng, Jie Zhou, Jingyuan Xia, Li Liu

IEEE Geosci. Remote. Sens. Lett., 2022

Facial Kinship Verification: A Comprehensive Review and Outlook.

Xiaoting Wu, Xiaoyi Feng, Xiaochun Cao, Xin Xu, Dewen Hu, Miguel Bordallo López, Li Liu

Int. J. Comput. Vis., 2022

Improved Neural Distinguishers with (Related-key) Differentials: Applications in SIMON and SIMECK.

Jinyu Lu, Guoqiang Liu, Yunwen Liu, Bing Sun, Chao Li, Li Liu

IACR Cryptol. ePrint Arch., 2022

Selecting pseudo supervision for unsupervised domain adaptive SAR target classification.

Lingjun Zhao, Qishan He, Ding Ding, Siqian Zhang, Gangyao Kuang, Li Liu

EURASIP J. Adv. Signal Process., 2022

Boosting Binary Neural Networks via Dynamic Thresholds Learning.

Jiehua Zhang, Xueyang Zhang, Zhuo Su, Zitong Yu, Yanghe Feng, Xin Lu, Matti Pietikäinen, Li Liu

CoRR, 2022

CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection.

Wuti Xiong, Li Liu

CoRR, 2022

Graph Signal Processing for Heterogeneous Change Detection Part II: Spectral Domain Analysis.

Yuli Sun, Lin Lei, Dongdong Guan, Gangyao Kuang, Li Liu

CoRR, 2022

Graph Signal Processing for Heterogeneous Change Detection Part I: Vertex Domain Filtering.

Yuli Sun, Lin Lei, Dongdong Guan, Gangyao Kuang, Li Liu

CoRR, 2022

Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry.

Yawen Cui, Zitong Yu, Wei Peng, Li Liu

CoRR, 2022

MoCoPnet: Exploring Local Motion and Contrast Priors for Infrared Small Target Super-Resolution.

Xinyi Ying, Yingqian Wang, Longguang Wang, Weidong Sheng, Li Liu, Zaiping Lin, Shilin Zhou

CoRR, 2022

Boosting Lip Reading with a Multi-View Fusion Network.

Xueyi Zhang, Chengwei Zhang, Jinping Sui, Changchong Sheng, Wanxia Deng, Li Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Dynamic Binary Neural Network by Learning Channel-Wise Thresholds.

Jiehua Zhang, Zhuo Su, Yanghe Feng, Xin Lu, Matti Pietikäinen, Li Liu

Proceedings of the IEEE International Conference on Acoustics, 2022

Highly-efficient Incomplete Largescale Multiview Clustering with Consensus Bipartite Graph.

Siwei Wang, Xinwang Liu, Li Liu, Wenxuan Tu, Xinzhong Zhu, Jiyuan Liu, Sihang Zhou, En Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learnable Lookup Table for Neural Network Quantization.

Longguang Wang, Xiaoyu Dong, Yingqian Wang, Li Liu, Wei An, Yulan Guo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Decoupling Makes Weakly Supervised Local Feature Better.

Kunhong Li, Longguang Wang, Li Liu, Qing Ran, Kai Xu, Yulan Guo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation.

Zhuo Su, Max Welling, Matti Pietikäinen, Li Liu

Proceedings of the International Conference on 3D Vision, 2022

2021

Joint Clustering and Discriminative Feature Alignment for Unsupervised Domain Adaptation.

Wanxia Deng, Qing Liao, Lingjun Zhao, Deke Guo, Gangyao Kuang, Dewen Hu, Li Liu

IEEE Trans. Image Process., 2021

Waterdrop Removal From Hot-Rolled Steel Strip Surfaces Based on Progressive Recurrent Generative Adversarial Networks.

Qiwu Luo, Kexin Liu, Jiaojiao Su, Chunhua Yang, Weihua Gui, Li Liu, Olli Silvén

IEEE Trans. Instrum. Meas., 2021

Semi-Supervised Natural Face De-Occlusion.

Jiancheng Cai, Hu Han, Jiyun Cui, Jie Chen, Li Liu, S. Kevin Zhou

IEEE Trans. Inf. Forensics Secur., 2021

Fragmentary Multi-Instance Classification.

Jie Wu, Wenzhang Zhuge, Xinwang Liu, Li Liu, Chenping Hou

IEEE Trans. Cybern., 2021

A Graphical Social Topology Model for RGB-D Multi-Person Tracking.

Shan Gao, Qixiang Ye, Li Liu, Arjan Kuijper, Xiangyang Ji

IEEE Trans. Circuits Syst. Video Technol., 2021

Binary Neural Network for Automated Visual Surface Defect Detection.

Wenzhe Liu, Jiehua Zhang, Zhuo Su, Zhongzhu Zhou, Li Liu

Sensors, 2021

Deep ladder reconstruction-classification network for unsupervised domain adaptation.

Wanxia Deng, Zhuo Su, Qiang Qiu, Lingjun Zhao, Gangyao Kuang, Matti Pietikäinen, Huaxin Xiao, Li Liu

Pattern Recognit. Lett., 2021

Efficient and Effective Regularized Incomplete Multi-View Clustering.

Xinwang Liu, Miaomiao Li, Chang Tang, Jingyuan Xia, Jian Xiong, Li Liu, Marius Kloft, En Zhu

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Deep Learning for 3D Point Clouds: A Survey.

Yulan Guo, Hanyun Wang, Qingyong Hu, Hao Liu, Li Liu, Mohammed Bennamoun

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Robust semi-supervised classification based on data augmented online ELMs with deep features.

Xiaochang Hu, Yujun Zeng, Xin Xu, Sihang Zhou, Li Liu

Knowl. Based Syst., 2021

A review of uncertainty quantification in deep learning: Techniques, applications and challenges.

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

Inf. Fusion, 2021

New Ideas and Trends in Deep Multimodal Content Understanding: A Review.

Wei Chen, Weiping Wang, Li Liu, Michael S. Lew

Neurocomputing, 2021

Deep Image Retrieval: A Survey.

Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, Theodoros Georgiou, Paul W. Fieguth, Li Liu, Michael S. Lew

CoRR, 2021

Deep Learning for Scene Classification: A Survey.

Delu Zeng, Minyu Liao, Mohammad Tavakolian, Yulan Guo, Bolei Zhou, Dewen Hu, Matti Pietikäinen, Li Liu

CoRR, 2021

Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning.

Moloud Abdar, Maryam Samami, Sajjad Dehghani Mahmoodabad, Thang Doan, Bogdan Mazoure, Reza Hashemifesharaki, Li Liu, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi

Comput. Biol. Medicine, 2021

Beyond Vanilla Convolution: Random Pixel Difference Convolution for Face Perception.

Wenzhe Liu, Zhuo Su, Li Liu

IEEE Access, 2021

Cross-modal Self-Supervised Learning for Lip Reading: When Contrastive Learning meets Adversarial Training.

Changchong Sheng, Matti Pietikäinen, Qi Tian, Li Liu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Informative Class-Conditioned Feature Alignment for Unsupervised Domain Adaptation.

Wanxia Deng, Yawen Cui, Zhen Liu, Gangyao Kuang, Dewen Hu, Matti Pietikäinen, Li Liu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

One Pass Late Fusion Multi-view Clustering.

Xinwang Liu, Li Liu, Qing Liao, Siwei Wang, Yi Zhang, Wenxuan Tu, Chang Tang, Jiyuan Liu, En Zhu

Proceedings of the 38th International Conference on Machine Learning, 2021

Transferable Discriminative Feature Mining For Unsupervised Domain Adaptation.

Lingjun Zhao, Wanxia Deng, Gangyao Kuang, Dewen Hu, Li Liu

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Semi-Supervised Few-Shot Class-Incremental Learning.

Yawen Cui, Wuti Xiong, Mohammad Tavakolian, Li Liu

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Localized Simple Multiple Kernel K-means.

Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

One-pass Multi-view Clustering for Large-scale Data.

Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Li Liu, Siqi Wang, Weixuan Liang, Jiangyong Shi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Pixel Difference Networks for Efficient Edge Detection.

Zhuo Su, Wenzhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikäinen, Li Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SAR Target Recognition Based on Model Transfer and Hinge Loss with Limited Data.

Qishan He, Lingjun Zhao, Gangyao Kuang, Li Liu

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Median Pixel Difference Convolutional Network for Robust Face Recognition.

Jiehua Zhang, Zhuo Su, Li Liu

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Semi-Supervised Few-Shot Object Detection with a Teacher-Student Network.

Wuti Xiong, Yawen Cui, Li Liu

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation.

Sihang Zhou, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Changwang Zhang, Jianping Yin

IEEE Trans. Neural Networks Learn. Syst., 2020

Deep Video Super-Resolution Using HR Optical Flow Estimation.

Longguang Wang, Yulan Guo, Li Liu, Zaiping Lin, Xinpu Deng, Wei An

IEEE Trans. Image Process., 2020

Automated Visual Defect Classification for Flat Steel Surface: A Survey.

Qiwu Luo, Xiaoxin Fang, Jiaojiao Su, Jian Zhou, Bingxing Zhou, Chunhua Yang, Li Liu, Weihua Gui, Lu Tian

IEEE Trans. Instrum. Meas., 2020

Automated Visual Defect Detection for Flat Steel Surface: A Survey.

Qiwu Luo, Xiaoxin Fang, Li Liu, Chunhua Yang, Yichuang Sun

IEEE Trans. Instrum. Meas., 2020

A Class Imbalance Loss for Imbalanced Object Recognition.

Linbin Zhang, Caiguang Zhang, Sinong Quan, Huaxin Xiao, Gangyao Kuang, Li Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Self-supervised pain intensity estimation from facial videos via statistical spatiotemporal distillation.

Mohammad Tavakolian, Miguel Bordallo López, Li Liu

Pattern Recognit. Lett., 2020

Absent Multiple Kernel Learning Algorithms.

Xinwang Liu, Lei Wang, Xinzhong Zhu, Miaomiao Li, En Zhu, Tongliang Liu, Li Liu, Yong Dou, Jianping Yin

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Efficient Visual Recognition.

Li Liu, Matti Pietikäinen, Jie Qin, Wanli Ouyang, Luc Van Gool

Int. J. Comput. Vis., 2020

Deep Learning for Generic Object Detection: A Survey.

Li Liu, Wanli Ouyang, Xiaogang Wang, Paul W. Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen

Int. J. Comput. Vis., 2020

FTBNN: Rethinking Non-linearity for 1-bit CNNs and Going Beyond.

Zhuo Su, Linpu Fang, Deke Guo, Dewen Hu, Matti Pietikäinen, Li Liu

CoRR, 2020

JGR-P2O: Joint Graph Reasoning Based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image.

Linpu Fang, Xingyan Liu, Li Liu, Hang Xu, Wenxiong Kang

Proceedings of the Computer Vision - ECCV 2020, 2020

Dynamic Group Convolution for Accelerating Convolutional Neural Networks.

Zhuo Su, Linpu Fang, Wenxiong Kang, Dewen Hu, Matti Pietikäinen, Li Liu

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Dynamic Texture Classification Using Unsupervised 3D Filter Learning and Local Binary Encoding.

Xiaochao Zhao, Yaping Lin, Li Liu, Janne Heikkilä, Wenming Zheng

IEEE Trans. Multim., 2019

SwapGAN: A Multistage Generative Approach for Person-to-Person Fashion Style Transfer.

Yu Liu, Wei Chen, Li Liu, Michael S. Lew

IEEE Trans. Multim., 2019

Texture Classification in Extreme Scale Variations Using GANet.

Li Liu, Jie Chen, Guoying Zhao, Paul W. Fieguth, Xilin Chen, Matti Pietikäinen

IEEE Trans. Image Process., 2019

A Constrained Sparse-Representation-Based Binary Hypothesis Model for Target Detection in Hyperspectral Imagery.

Qiang Ling, Yulan Guo, Zaiping Lin, Li Liu, Wei An

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

CycleMatch: A cycle-consistent embedding network for image-text matching.

Yu Liu, Yanming Guo, Li Liu, Erwin M. Bakker, Michael S. Lew

Pattern Recognit., 2019

Guest Editors' Introduction to the Special Section on Compact and Efficient Feature Representation and Learning in Computer Vision.

Li Liu, Matti Pietikäinen, Jie Chen, Guoying Zhao, Xiaogang Wang, Rama Chellappa

IEEE Trans. Pattern Anal. Mach. Intell., 2019

From BoW to CNN: Two Decades of Texture Representation for Texture Classification.

Li Liu, Jie Chen, Paul W. Fieguth, Guoying Zhao, Rama Chellappa, Matti Pietikäinen

Int. J. Comput. Vis., 2019

Surface Defect Classification for Hot-Rolled Steel Strips by Selectively Dominant Local Binary Patterns.

Qiwu Luo, Xiaoxin Fang, Yichuang Sun, Li Liu, Jiaqiu Ai, Chunhua Yang, Oluyomi Simpson

IEEE Access, 2019

Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition.

Chengyu Guo, Jingyun Liang, Geng Zhan, Zhong Liu, Matti Pietikäinen, Li Liu

IEEE Access, 2019

DHA: Supervised Deep Learning to Hash with an Adaptive Loss Function.

Jiehao Xu, Chengyu Guo, Qingjie Liu, Jie Qin, Yunhong Wang, Li Liu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Dynamic Texture Recognition Using 3D Random Features.

Xiaochao Zhao, Yaping Lin, Li Liu

Proceedings of the IEEE International Conference on Acoustics, 2019

Sparse Subspace Clustering for Evolving Data Streams.

Jinping Sui, Zhen Liu, Li Liu, Alexander Jung, Tianpeng Liu, Bo Peng, Xiang Li

Proceedings of the IEEE International Conference on Acoustics, 2019

BIRD: Learning Binary and Illumination Robust Descriptor for Face Recognition.

Zhuo Su, Matti Pietikäinen, Li Liu

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Learning visual and textual representations for multimodal matching and classification.

Yu Liu, Li Liu, Yanming Guo, Michael S. Lew

Pattern Recognit., 2018

A Survey of Recent Advances in Texture Representation.

Li Liu, Jie Chen, Paul W. Fieguth, Guoying Zhao, Rama Chellappa, Matti Pietikäinen

CoRR, 2018

Rotation Invariant Local Binary Convolution Neural Networks.

Xin Zhang, Yuxiang Xie, Jie Chen, Lingda Wu, Qixiang Ye, Li Liu

IEEE Access, 2018

Dynamic Clustering Scheme for Evolving Data Streams Based on Improved STRAP.

Jinping Sui, Zhen Liu, Alexander Jung, Li Liu, Xiang Li

IEEE Access, 2018

Localized Incomplete Multiple Kernel k-means.

Xinzhong Zhu, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Zhiping Cai, Jianping Yin, Wen Gao

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Dual Prediction Network for Image Captioning.

Yanming Guo, Yu Liu, Maaike H. T. de Boer, Li Liu, Michael S. Lew

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Unsupervised Cross-Corpus Speech Emotion Recognition Using Domain-Adaptive Subspace Learning.

Na Liu, Yuan Zong, Baofeng Zhang, Li Liu, Jie Chen, Guoying Zhao, Junchao Zhu

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Super Wide Regression Network for Unsupervised Cross-Database Facial Expression Recognition.

Na Liu, Baofeng Zhang, Yuan Zong, Li Liu, Jie Chen, Guoying Zhao, Junchao Zhu

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Local binary features for texture classification: Taxonomy and experimental study.

Li Liu, Paul W. Fieguth, Yulan Guo, Xiaogang Wang, Matti Pietikäinen

Pattern Recognit., 2017

Robust local features for remote face recognition.

Jie Chen, Vishal M. Patel, Li Liu, Vili Kellokumpu, Guoying Zhao, Matti Pietikäinen, Rama Chellappa

Image Vis. Comput., 2017

Rotation Invariant Local Binary Convolution Neural Networks.

Xin Zhang, Li Liu, Yuxiang Xie, Jie Chen, Lingda Wu, Matti Pietikäinen

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Median Robust Extended Local Binary Pattern for Texture Classification.

Li Liu, Songyang Lao, Paul W. Fieguth, Yulan Guo, Xiaogang Wang, Matti Pietikäinen

IEEE Trans. Image Process., 2016

EI3D: Expression-invariant 3D face recognition based on feature and shape matching.

Yulan Guo, Yinjie Lei, Li Liu, Yan Wang, Mohammed Bennamoun, Ferdous Ahmed Sohel

Pattern Recognit. Lett., 2016

Random projections and Single BoW for fast and Robust texture segmentation.

Li Liu, Liansheng Wang, Lingjun Zhao, Paul W. Fieguth

Inf. Sci., 2016

Extended local binary patterns for face recognition.

Li Liu, Paul W. Fieguth, Guoying Zhao, Matti Pietikäinen, Dewen Hu

Inf. Sci., 2016

RoLoD: Robust local descriptors for computer vision.

Jie Chen, Zhen Lei, Li Liu, Guoying Zhao, Matti Pietikäinen

Neurocomputing, 2016

An attention model based on spatial transformers for scene recognition.

Shuxuan Guo, Li Liu, Wei Wang, Songyang Lao, Liang Wang

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Evaluation of LBP and Deep Texture Descriptors with a New Robustness Benchmark.

Li Liu, Paul W. Fieguth, Xiaogang Wang, Matti Pietikäinen, Dewen Hu

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Fusing Sorted Random Projections for Robust Texture and Material Classification.

Li Liu, Paul W. Fieguth, Dewen Hu, Yingmei Wei, Gangyao Kuang

IEEE Trans. Circuits Syst. Video Technol., 2015

A novel specific image scenes detection method.

Yuxiang Xie, Xiao-Ping (Steven) Zhang, Xidao Luan, Li Liu, Xin Zhang

Multim. Tools Appl., 2015

Median robust extended local binary pattern for texture classification.

Li Liu, Paul W. Fieguth, Matti Pietikäinen, Songyang Lao

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

BRINT: Binary Rotation Invariant and Noise Tolerant Texture Classification.

Li Liu, Yunli Long, Paul W. Fieguth, Songyang Lao, Guoying Zhao

IEEE Trans. Image Process., 2014

Extended local binary pattern fusion for face recognition.

Li Liu, Paul W. Fieguth, Guoying Zhao, Matti Pietikäinen

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

BRINT: A binary rotation invariant and noise tolerant texture descriptor.

Li Liu, Bing Yang, Paul W. Fieguth, Zheng Yang, Yingmei Wei

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

Sorted random projections for robust rotation-invariant texture classification.

Li Liu, Paul W. Fieguth, David A. Clausi, Gangyao Kuang

Pattern Recognit., 2012

Texture Classification from Random Features.

Li Liu, Paul W. Fieguth

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Polarimetric SAR Target Detection Using the Reflection Symmetry.

Na Wang, Gongtao Shi, Li Liu, Lingjun Zhao, Gangyao Kuang

IEEE Geosci. Remote. Sens. Lett., 2012

Extended local binary patterns for texture classification.

Li Liu, Lingjun Zhao, Yunli Long, Gangyao Kuang, Paul W. Fieguth

Image Vis. Comput., 2012

2011

Combining sorted random features for texture classification.

Li Liu, Paul W. Fieguth, Gangyao Kuang

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Sorted Random Projections for robust texture classification.

Li Liu, Paul W. Fieguth, Gangyao Kuang, Hongbin Zha

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

Texture CLassification Using Compressed Sensing.

Li Liu, Paul W. Fieguth

Proceedings of the Canadian Conference on Computer and Robot Vision, 2010

Compressed Sensing for Robust Texture Classification.

Li Liu, Paul W. Fieguth, Gangyao Kuang

Proceedings of the Computer Vision - ACCV 2010, 2010

2009

An Adaptive and Fast CFAR Algorithm Based on Automatic Censoring for Target Detection in High-Resolution SAR Images.

Gui Gao, Li Liu, Lingjun Zhao, Gongtao Shi, Gangyao Kuang

IEEE Trans. Geosci. Remote. Sens., 2009