An Adaptive and Fast CFAR Algorithm Based on Automatic Censoring for Target Detection in High-Resolution SAR Images. - Gui Gao; Li Liu 002; Lingjun Zhao; Gongtao Shi; Gangyao Kuang (IEEE Trans. Geosci. Remote. Sens., 2009)

Compressed Sensing for Robust Texture Classification. - Li Liu 002; Paul W. Fieguth; Gangyao Kuang (ACCV (1), 2010)

Texture CLassification Using Compressed Sensing. - Li Liu 002; Paul W. Fieguth (CRV, 2010)

Sorted Random Projections for robust texture classification. - Li Liu 002; Paul W. Fieguth; Gangyao Kuang; Hongbin Zha (ICCV, 2011)

Combining sorted random features for texture classification. - Li Liu 002; Paul W. Fieguth; Gangyao Kuang (ICIP, 2011)

Extended local binary patterns for texture classification. - Li Liu 002; Lingjun Zhao; Yunli Long; Gangyao Kuang; Paul W. Fieguth (Image Vis. Comput., 2012)

Polarimetric SAR Target Detection Using the Reflection Symmetry. - Na Wang 002; Gongtao Shi; Li Liu 002; Lingjun Zhao; Gangyao Kuang (IEEE Geosci. Remote. Sens. Lett., 2012)

Texture Classification from Random Features. - Li Liu 002; Paul W. Fieguth (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Sorted random projections for robust rotation-invariant texture classification. - Li Liu 002; Paul W. Fieguth; David A. Clausi; Gangyao Kuang (Pattern Recognit., 2012)

BRINT: A binary rotation invariant and noise tolerant texture descriptor. - Li Liu 002; Bing Yang; Paul W. Fieguth; Zheng Yang; Yingmei Wei (ICIP, 2013)

Extended local binary pattern fusion for face recognition. - Li Liu 002; Paul W. Fieguth; Guoying Zhao 001; Matti Pietikäinen (ICIP, 2014)

BRINT: Binary Rotation Invariant and Noise Tolerant Texture Classification. - Li Liu 002; Yunli Long; Paul W. Fieguth; Songyang Lao; Guoying Zhao 001 (IEEE Trans. Image Process., 2014)

Median robust extended local binary pattern for texture classification. - Li Liu 002; Paul W. Fieguth; Matti Pietikäinen; Songyang Lao (ICIP, 2015)

A novel specific image scenes detection method. - Yuxiang Xie; Xiao-Ping (Steven) Zhang; Xidao Luan; Li Liu 002; Xin Zhang 029 (Multim. Tools Appl., 2015)

Fusing Sorted Random Projections for Robust Texture and Material Classification. - Li Liu 002; Paul W. Fieguth; Dewen Hu; Yingmei Wei; Gangyao Kuang (IEEE Trans. Circuits Syst. Video Technol., 2015)

Evaluation of LBP and Deep Texture Descriptors with a New Robustness Benchmark. - Li Liu 002; Paul W. Fieguth; Xiaogang Wang 001; Matti Pietikäinen; Dewen Hu (ECCV (3), 2016)

An attention model based on spatial transformers for scene recognition. - Shuxuan Guo; Li Liu 002; Wei Wang 115; Songyang Lao; Liang Wang 001 (ICPR, 2016)

RoLoD: Robust local descriptors for computer vision. - Jie Chen 001; Zhen Lei 001; Li Liu 002; Guoying Zhao 001; Matti Pietikäinen (Neurocomputing, 2016)

Extended local binary patterns for face recognition. - Li Liu 002; Paul W. Fieguth; Guoying Zhao 001; Matti Pietikäinen; Dewen Hu (Inf. Sci., 2016)

Random projections and Single BoW for fast and Robust texture segmentation. - Li Liu 002; Liansheng Wang; Lingjun Zhao; Paul W. Fieguth (Inf. Sci., 2016)

EI3D: Expression-invariant 3D face recognition based on feature and shape matching. - Yulan Guo; Yinjie Lei; Li Liu 002; Yan Wang 059; Mohammed Bennamoun; Ferdous Ahmed Sohel (Pattern Recognit. Lett., 2016)

Median Robust Extended Local Binary Pattern for Texture Classification. - Li Liu 002; Songyang Lao; Paul W. Fieguth; Yulan Guo; Xiaogang Wang 001; Matti Pietikäinen (IEEE Trans. Image Process., 2016)

Rotation Invariant Local Binary Convolution Neural Networks. - Xin Zhang 029; Li Liu 002; Yuxiang Xie; Jie Chen 001; Lingda Wu; Matti Pietikäinen (ICCV Workshops, 2017)

Robust local features for remote face recognition. - Jie Chen 001; Vishal M. Patel; Li Liu 002; Vili Kellokumpu; Guoying Zhao 001; Matti Pietikäinen; Rama Chellappa (Image Vis. Comput., 2017)

Local binary features for texture classification: Taxonomy and experimental study. - Li Liu 002; Paul W. Fieguth; Yulan Guo; Xiaogang Wang 001; Matti Pietikäinen (Pattern Recognit., 2017)

Super Wide Regression Network for Unsupervised Cross-Database Facial Expression Recognition. - Na Liu; Baofeng Zhang; Yuan Zong; Li Liu 002; Jie Chen 001; Guoying Zhao 001; Junchao Zhu (ICASSP, 2018)

Unsupervised Cross-Corpus Speech Emotion Recognition Using Domain-Adaptive Subspace Learning. - Na Liu; Yuan Zong; Baofeng Zhang; Li Liu 002; Jie Chen 001; Guoying Zhao 001; Junchao Zhu (ICASSP, 2018)

A Dual Prediction Network for Image Captioning. - Yanming Guo; Yu Liu 012; Maaike H. T. de Boer; Li Liu 002; Michael S. Lew (ICME, 2018)

Localized Incomplete Multiple Kernel k-means. - Xinzhong Zhu; Xinwang Liu 002; Miaomiao Li 001; En Zhu; Li Liu 002; Zhiping Cai; Jianping Yin; Wen Gao 001 (IJCAI, 2018)

Dynamic Clustering Scheme for Evolving Data Streams Based on Improved STRAP. - Jinping Sui; Zhen Liu 004; Alexander Jung; Li Liu 002; Xiang Li 014 (IEEE Access, 2018)

Rotation Invariant Local Binary Convolution Neural Networks. - Xin Zhang 029; Yuxiang Xie; Jie Chen 001; Lingda Wu; Qixiang Ye; Li Liu 002 (IEEE Access, 2018)

A Survey of Recent Advances in Texture Representation. - Li Liu 002; Jie Chen 001; Paul W. Fieguth; Guoying Zhao 001; Rama Chellappa; Matti Pietikäinen (CoRR, 2018)

Learning visual and textual representations for multimodal matching and classification. - Yu Liu 012; Li Liu 002; Yanming Guo; Michael S. Lew (Pattern Recognit., 2018)

BIRD: Learning Binary and Illumination Robust Descriptor for Face Recognition. - Zhuo Su 002; Matti Pietikäinen; Li Liu 002 (BMVC, 2019)

Sparse Subspace Clustering for Evolving Data Streams. - Jinping Sui; Zhen Liu 004; Li Liu 002; Alexander Jung; Tianpeng Liu; Bo Peng; Xiang Li 014 (ICASSP, 2019)

Dynamic Texture Recognition Using 3D Random Features. - Xiaochao Zhao; Yaping Lin; Li Liu 002 (ICASSP, 2019)

DHA: Supervised Deep Learning to Hash with an Adaptive Loss Function. - Jiehao Xu; Chengyu Guo; Qingjie Liu 001; Jie Qin; Yunhong Wang 001; Li Liu 002 (ICCV Workshops, 2019)

Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition. - Chengyu Guo; Jingyun Liang; Geng Zhan; Zhong Liu 002; Matti Pietikäinen; Li Liu 002 (IEEE Access, 2019)

HTSTL: Head-and-Tail Search Network With Scale-Transfer Layer for Traffic Sign Text Detection. - Xuan He; Runmin Wang; Xiumei Li; Xing Chen; Chengyu Guo; Lv Wen; Changxin Gao; Li Liu 002 (IEEE Access, 2019)

Surface Defect Classification for Hot-Rolled Steel Strips by Selectively Dominant Local Binary Patterns. - Qiwu Luo; Xiaoxin Fang; Yichuang Sun; Li Liu 002; Jiaqiu Ai; Chunhua Yang 001; Oluyomi Simpson (IEEE Access, 2019)

From BoW to CNN: Two Decades of Texture Representation for Texture Classification. - Li Liu 002; Jie Chen 001; Paul W. Fieguth; Guoying Zhao 001; Rama Chellappa; Matti Pietikäinen (Int. J. Comput. Vis., 2019)

Guest Editors' Introduction to the Special Section on Compact and Efficient Feature Representation and Learning in Computer Vision. - Li Liu 002; Matti Pietikäinen; Jie Chen 001; Guoying Zhao 001; Xiaogang Wang 001; Rama Chellappa (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

CycleMatch: A cycle-consistent embedding network for image-text matching. - Yu Liu 012; Yanming Guo; Li Liu 002; Erwin M. Bakker; Michael S. Lew (Pattern Recognit., 2019)

A Constrained Sparse-Representation-Based Binary Hypothesis Model for Target Detection in Hyperspectral Imagery. - Qiang Ling 002; Yulan Guo; Zaiping Lin; Li Liu 002; Wei An (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Texture Classification in Extreme Scale Variations Using GANet. - Li Liu 002; Jie Chen 001; Guoying Zhao 001; Paul W. Fieguth; Xilin Chen 001; Matti Pietikäinen (IEEE Trans. Image Process., 2019)

SwapGAN: A Multistage Generative Approach for Person-to-Person Fashion Style Transfer. - Yu Liu 012; Wei Chen 072; Li Liu 002; Michael S. Lew (IEEE Trans. Multim., 2019)

Dynamic Texture Classification Using Unsupervised 3D Filter Learning and Local Binary Encoding. - Xiaochao Zhao; Yaping Lin; Li Liu 002; Janne Heikkilä; Wenming Zheng (IEEE Trans. Multim., 2019)

Dynamic Group Convolution for Accelerating Convolutional Neural Networks. - Zhuo Su 002; Linpu Fang; Wenxiong Kang; Dewen Hu; Matti Pietikäinen; Li Liu 002 (ECCV (6), 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 002; Hang Xu; Wenxiong Kang (ECCV (6), 2020)

FTBNN: Rethinking Non-linearity for 1-bit CNNs and Going Beyond. - Zhuo Su 002; Linpu Fang; Deke Guo; Dewen Hu; Matti Pietikäinen; Li Liu 002 (CoRR, 2020)

Deep Learning for Generic Object Detection: A Survey. - Li Liu 002; Wanli Ouyang; Xiaogang Wang 001; Paul W. Fieguth; Jie Chen 001; Xinwang Liu 002; Matti Pietikäinen (Int. J. Comput. Vis., 2020)

Efficient Visual Recognition. - Li Liu 002; Matti Pietikäinen; Jie Qin; Wanli Ouyang; Luc Van Gool (Int. J. Comput. Vis., 2020)

Absent Multiple Kernel Learning Algorithms. - Xinwang Liu 002; Lei Wang 001; Xinzhong Zhu; Miaomiao Li 001; En Zhu; Tongliang Liu; Li Liu 002; Yong Dou; Jianping Yin (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Self-supervised pain intensity estimation from facial videos via statistical spatiotemporal distillation. - Mohammad Tavakolian; Miguel Bordallo López; Li Liu 002 (Pattern Recognit. Lett., 2020)

A Class Imbalance Loss for Imbalanced Object Recognition. - Linbin Zhang; Caiguang Zhang; Sinong Quan; Huaxin Xiao; Gangyao Kuang; Li Liu 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Automated Visual Defect Detection for Flat Steel Surface: A Survey. - Qiwu Luo; Xiaoxin Fang; Li Liu 002; Chunhua Yang 001; Yichuang Sun (IEEE Trans. Instrum. Meas., 2020)

Automated Visual Defect Classification for Flat Steel Surface: A Survey. - Qiwu Luo; Xiaoxin Fang; Jiaojiao Su; Jian Zhou; Bingxing Zhou; Chunhua Yang 001; Li Liu 002; Weihua Gui 001; Lu Tian (IEEE Trans. Instrum. Meas., 2020)

Deep Video Super-Resolution Using HR Optical Flow Estimation. - Longguang Wang; Yulan Guo; Li Liu 002; Zaiping Lin; Xinpu Deng; Wei An (IEEE Trans. Image Process., 2020)

Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation. - Sihang Zhou 001; Xinwang Liu 002; Miaomiao Li 001; En Zhu; Li Liu 002; Changwang Zhang; Jianping Yin (IEEE Trans. Neural Networks Learn. Syst., 2020)

Semi-Supervised Few-Shot Object Detection with a Teacher-Student Network. - Wuti Xiong; Yawen Cui; Li Liu 002 (BMVC, 2021)

Median Pixel Difference Convolutional Network for Robust Face Recognition. - Jiehua Zhang; Zhuo Su 002; Li Liu 002 (BMVC, 2021)

SAR Target Recognition Based on Model Transfer and Hinge Loss with Limited Data. - Qishan He; Lingjun Zhao; Gangyao Kuang; Li Liu 002 (CICAI, 2021)

Pixel Difference Networks for Efficient Edge Detection. - Zhuo Su 002; Wenzhe Liu; Zitong Yu; Dewen Hu; Qing Liao 001; Qi Tian 001; Matti Pietikäinen; Li Liu 002 (ICCV, 2021)

One-pass Multi-view Clustering for Large-scale Data. - Jiyuan Liu 003; Xinwang Liu 002; Yuexiang Yang; Li Liu 002; Siqi Wang 001; Weixuan Liang; Jiangyong Shi (ICCV, 2021)

Localized Simple Multiple Kernel K-means. - Xinwang Liu 002; Sihang Zhou 001; Li Liu 002; Chang Tang; Siwei Wang 001; Jiyuan Liu 003; Yi Zhang 104 (ICCV, 2021)

Semi-Supervised Few-Shot Class-Incremental Learning. - Yawen Cui; Wuti Xiong; Mohammad Tavakolian; Li Liu 002 (ICIP, 2021)

Transferable Discriminative Feature Mining For Unsupervised Domain Adaptation. - Lingjun Zhao; Wanxia Deng; Gangyao Kuang; Dewen Hu; Li Liu 002 (ICIP, 2021)

One Pass Late Fusion Multi-view Clustering. - Xinwang Liu 002; Li Liu 002; Qing Liao 001; Siwei Wang 001; Yi Zhang 104; Wenxuan Tu; Chang Tang; Jiyuan Liu 003; En Zhu (ICML, 2021)

Informative Class-Conditioned Feature Alignment for Unsupervised Domain Adaptation. - Wanxia Deng; Yawen Cui; Zhen Liu 004; Gangyao Kuang; Dewen Hu; Matti Pietikäinen; Li Liu 002 (ACM Multimedia, 2021)

Cross-modal Self-Supervised Learning for Lip Reading: When Contrastive Learning meets Adversarial Training. - Changchong Sheng; Matti Pietikäinen; Qi Tian 001; Li Liu 002 (ACM Multimedia, 2021)

Beyond Vanilla Convolution: Random Pixel Difference Convolution for Face Perception. - Wenzhe Liu; Zhuo Su 002; Li Liu 002 (IEEE Access, 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 002; Abbas Khosravi; U. Rajendra Acharya; Vladimir Makarenkov; Saeid Nahavandi (Comput. Biol. Medicine, 2021)

Deep Learning for Scene Classification: A Survey. - Delu Zeng; Minyu Liao; Mohammad Tavakolian; Yulan Guo; Bolei Zhou; Dewen Hu; Matti Pietikäinen; Li Liu 002 (CoRR, 2021)

Deep Image Retrieval: A Survey. - Wei Chen 072; Yu Liu 012; Weiping Wang 002; Erwin M. Bakker; Theodoros Georgiou 001; Paul W. Fieguth; Li Liu 002; Michael S. Lew (CoRR, 2021)

New Ideas and Trends in Deep Multimodal Content Understanding: A Review. - Wei Chen 072; Weiping Wang 002; Li Liu 002; Michael S. Lew (Neurocomputing, 2021)

A review of uncertainty quantification in deep learning: Techniques, applications and challenges. - Moloud Abdar; Farhad Pourpanah; Sadiq Hussain; Dana Rezazadegan; Li Liu 002; Mohammad Ghavamzadeh; Paul W. Fieguth; Xiaochun Cao; Abbas Khosravi; U. Rajendra Acharya; Vladimir Makarenkov; Saeid Nahavandi (Inf. Fusion, 2021)

Robust semi-supervised classification based on data augmented online ELMs with deep features. - Xiaochang Hu; Yujun Zeng; Xin Xu 001; Sihang Zhou 001; Li Liu 002 (Knowl. Based Syst., 2021)

Deep Learning for 3D Point Clouds: A Survey. - Yulan Guo; Hanyun Wang; Qingyong Hu; Hao Liu 061; Li Liu 002; Mohammed Bennamoun (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Efficient and Effective Regularized Incomplete Multi-View Clustering. - Xinwang Liu 002; Miaomiao Li 001; Chang Tang; Jingyuan Xia; Jian Xiong 002; Li Liu 002; Marius Kloft; En Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Deep ladder reconstruction-classification network for unsupervised domain adaptation. - Wanxia Deng; Zhuo Su 002; Qiang Qiu 001; Lingjun Zhao; Gangyao Kuang; Matti Pietikäinen; Huaxin Xiao; Li Liu 002 (Pattern Recognit. Lett., 2021)

Binary Neural Network for Automated Visual Surface Defect Detection. - Wenzhe Liu; Jiehua Zhang; Zhuo Su 002; Zhongzhu Zhou; Li Liu 002 (Sensors, 2021)

A Graphical Social Topology Model for RGB-D Multi-Person Tracking. - Shan Gao 003; Qixiang Ye; Li Liu 002; Arjan Kuijper; Xiangyang Ji (IEEE Trans. Circuits Syst. Video Technol., 2021)

Fragmentary Multi-Instance Classification. - Jie Wu; Wenzhang Zhuge; Xinwang Liu 002; Li Liu 002; Chenping Hou (IEEE Trans. Cybern., 2021)

Semi-Supervised Natural Face De-Occlusion. - Jiancheng Cai; Hu Han 001; Jiyun Cui; Jie Chen 001; Li Liu 002; S. Kevin Zhou (IEEE Trans. Inf. Forensics Secur., 2021)

Waterdrop Removal From Hot-Rolled Steel Strip Surfaces Based on Progressive Recurrent Generative Adversarial Networks. - Qiwu Luo; Kexin Liu; Jiaojiao Su; Chunhua Yang 001; Weihua Gui 001; Li Liu 002; Olli Silvén (IEEE Trans. Instrum. Meas., 2021)

Joint Clustering and Discriminative Feature Alignment for Unsupervised Domain Adaptation. - Wanxia Deng; Qing Liao 001; Lingjun Zhao; Deke Guo; Gangyao Kuang; Dewen Hu; Li Liu 002 (IEEE Trans. Image Process., 2021)

SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation. - Zhuo Su 002; Max Welling; Matti Pietikäinen; Li Liu 002 (3DV, 2022)

Decoupling Makes Weakly Supervised Local Feature Better. - Kunhong Li 001; Longguang Wang; Li Liu 002; Qing Ran; Kai Xu 004; Yulan Guo (CVPR, 2022)

Learnable Lookup Table for Neural Network Quantization. - Longguang Wang; Xiaoyu Dong; Yingqian Wang 002; Li Liu 002; Wei An; Yulan Guo (CVPR, 2022)

Highly-efficient Incomplete Largescale Multiview Clustering with Consensus Bipartite Graph. - Siwei Wang 001; Xinwang Liu 002; Li Liu 002; Wenxuan Tu; Xinzhong Zhu; Jiyuan Liu 003; Sihang Zhou 001; En Zhu (CVPR, 2022)

Dynamic Binary Neural Network by Learning Channel-Wise Thresholds. - Jiehua Zhang; Zhuo Su 002; Yanghe Feng; Xin Lu 002; Matti Pietikäinen; Li Liu 002 (ICASSP, 2022)

Boosting Lip Reading with a Multi-View Fusion Network. - Xueyi Zhang; Chengwei Zhang; Jinping Sui; Changchong Sheng; Wanxia Deng; Li Liu 002 (ICME, 2022)

MoCoPnet: Exploring Local Motion and Contrast Priors for Infrared Small Target Super-Resolution. - Xinyi Ying; Yingqian Wang 002; Longguang Wang; Weidong Sheng; Li Liu 002; Zaiping Lin; Shilin Zhou 001 (CoRR, 2022)

Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry. - Yawen Cui; Zitong Yu; Wei Peng 009; Li Liu 002 (CoRR, 2022)

Graph Signal Processing for Heterogeneous Change Detection Part I: Vertex Domain Filtering. - Yuli Sun; Lin Lei; Dongdong Guan; Gangyao Kuang; Li Liu 002 (CoRR, 2022)

Graph Signal Processing for Heterogeneous Change Detection Part II: Spectral Domain Analysis. - Yuli Sun; Lin Lei; Dongdong Guan; Gangyao Kuang; Li Liu 002 (CoRR, 2022)

CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection. - Wuti Xiong; Li Liu 002 (CoRR, 2022)

Boosting Binary Neural Networks via Dynamic Thresholds Learning. - Jiehua Zhang; Xueyang Zhang; Zhuo Su 002; Zitong Yu; Yanghe Feng; Xin Lu 002; Matti Pietikäinen; Li Liu 002 (CoRR, 2022)

Selecting pseudo supervision for unsupervised domain adaptive SAR target classification. - Lingjun Zhao; Qishan He; Ding Ding; Siqian Zhang; Gangyao Kuang; Li Liu 002 (EURASIP J. Adv. Signal Process., 2022)

Improved Neural Distinguishers with (Related-key) Differentials: Applications in SIMON and SIMECK. - Jinyu Lu; Guoqiang Liu; Yunwen Liu; Bing Sun 001; Chao Li 002; Li Liu 002 (IACR Cryptol. ePrint Arch., 2022)

Facial Kinship Verification: A Comprehensive Review and Outlook. - Xiaoting Wu; Xiaoyi Feng; Xiaochun Cao; Xin Xu 001; Dewen Hu; Miguel Bordallo López; Li Liu 002 (Int. J. Comput. Vis., 2022)

Speckle-Variant Attack: Toward Transferable Adversarial Attack to SAR Target Recognition. - Bowen Peng; Bo Peng; Jie Zhou 031; Jingyuan Xia; Li Liu 002 (IEEE Geosci. Remote. Sens. Lett., 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 002; Wei An; Zhijie Chen (IEEE Geosci. Remote. Sens. Lett., 2022)

Coarse-to-fine pseudo supervision guided meta-task optimization for few-shot object classification. - Yawen Cui; Qing Liao 001; Dewen Hu; Wei An; Li Liu 002 (Pattern Recognit., 2022)

Scale-selective and noise-robust extended local binary pattern for texture classification. - Qiwu Luo; Jiaojiao Su; Chunhua Yang 001; Olli Silvén; Li Liu 002 (Pattern Recognit., 2022)

An Empirical Study of Fully Black-Box and Universal Adversarial Attack for SAR Target Recognition. - Bowen Peng; Bo Peng; Shaowei Yong; Li Liu 002 (Remote. Sens., 2022)

Local Motion and Contrast Priors Driven Deep Network for Infrared Small Target Superresolution. - Xinyi Ying; Yingqian Wang 002; Longguang Wang; Weidong Sheng; Li Liu 002; Zaiping Lin; Shilin Zhou 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Deep Ladder-Suppression Network for Unsupervised Domain Adaptation. - Wanxia Deng; Lingjun Zhao; Gangyao Kuang; Dewen Hu; Matti Pietikäinen; Li Liu 002 (IEEE Trans. Cybern., 2022)

Dynamic Sparse Subspace Clustering for Evolving High-Dimensional Data Streams. - Jinping Sui; Zhen Liu 004; Li Liu 002; Alexander Jung; Xiang Li 014 (IEEE Trans. Cybern., 2022)

Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense. - Bowen Peng; Bo Peng; Jie Zhou 031; Jianyue Xie; Li Liu 002 (IEEE Trans. Geosci. Remote. Sens., 2022)

Graph Signal Processing for Heterogeneous Change Detection. - Yuli Sun; Lin Lei; Dongdong Guan; Gangyao Kuang; Li Liu 002 (IEEE Trans. Geosci. Remote. Sens., 2022)

Hyperspectral Estimation of Soil Copper Concentration Based on Improved TabNet Model in the Eastern Junggar Coalfield. - Yuan Wang 034; Abdugheni Abliz; Hongbing Ma; Li Liu 002; Alishir Kurban; Ümüt Halik; Matti Pietikäinen; Wenjuan Wang (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 002 (IEEE Trans. Geosci. Remote. Sens., 2022)

Attentional Feature Refinement and Alignment Network for Aircraft Detection in SAR Imagery. - Yan Zhao 026; Lingjun Zhao; Zhong Liu 002; Dewen Hu; Gangyao Kuang; Li Liu 002 (IEEE Trans. Geosci. Remote. Sens., 2022)

CAT-EDNet: Cross-Attention Transformer-Based Encoder-Decoder Network for Salient Defect Detection of Strip Steel Surface. - Qiwu Luo; Jiaojiao Su; Chunhua Yang 001; Weihua Gui 001; Olli Silvén; Li Liu 002 (IEEE Trans. Instrum. Meas., 2022)

Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection. - Cong Chen; Shouyang Dong; Ye Tian; Kunlin Cao; Li Liu 002; Yuanhao Guo (IEEE Trans. Multim., 2022)

Feature Estimations Based Correlation Distillation for Incremental Image Retrieval. - Wei Chen 072; Yu Liu 012; Nan Pu; Weiping Wang 002; Li Liu 002; Michael S. Lew (IEEE Trans. Multim., 2022)

Informative Feature Disentanglement for Unsupervised Domain Adaptation. - Wanxia Deng; Lingjun Zhao; Qing Liao 001; Deke Guo; Gangyao Kuang; Dewen Hu; Matti Pietikäinen; Li Liu 002 (IEEE Trans. Multim., 2022)

Adaptive Semantic-Spatio-Temporal Graph Convolutional Network for Lip Reading. - Changchong Sheng; Xinzhong Zhu; Huiying Xu; Matti Pietikäinen; Li Liu 002 (IEEE Trans. Multim., 2022)

Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection with Single Point Supervision. - Xinyi Ying; Li Liu 002; Yingqian Wang 002; Ruojing Li; Nuo Chen; Zaiping Lin; Weidong Sheng; Shilin Zhou 001 (CVPR, 2023)

ROFusion: Efficient Object Detection Using Hybrid Point-Wise Radar-Optical Fusion. - Liu Liu; Shuaifeng Zhi; Zhenhua Du; Li Liu 002; Xinyu Zhang 010; Kai Huo; Weidong Jiang (ICANN (7), 2023)

Cross-Domain Few-Shot Classification Via Inter-Source Stylization. - Huali Xu; Shuaifeng Zhi; Li Liu 002 (ICIP, 2023)

Evidential Uncertainty and Diversity Guided Active Learning for Scene Graph Generation. - Shuzhou Sun; Shuaifeng Zhi; Janne Heikkilä; Li Liu 002 (ICLR, 2023)

Variational Information Bottleneck for Cross Domain Object Detection. - Jiangming Chen; Wanxia Deng; Bo Peng; Tianpeng Liu; Yingmei Wei; Li Liu 002 (ICME, 2023)

Score-based causal feature selection for cancer risk prediction. - Shanshan Huang 004; Qingsong Li; Lei Wang 197; Yuanhao Wang 008; Li Liu 002 (ICME, 2023)

Prophet: An Efficient Feature Indexing Mechanism for Similarity Data Sharing at Network Edge. - Yuchen Sun; Deke Guo; Lailong Luo; Li Liu 002; Xinyi Li 001; Junjie Xie (INFOCOM, 2023)

BS3D: Building-Scale 3D Reconstruction from RGB-D Images. - Janne Mustaniemi; Juho Kannala; Esa Rahtu; Li Liu 002; Janne Heikkilä (SCIA (2), 2023)

From Local Binary Patterns to Pixel Difference Networks for Efficient Visual Representation Learning. - Zhuo Su 002; Matti Pietikäinen; Li Liu 002 (SCIA (2), 2023)

Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters. - Yawen Cui; Zitong Yu; Rizhao Cai; Xun Wang; Alex C. Kot; Li Liu 002 (CoRR, 2023)

Discovering and Explaining the Non-Causality of Deep Learning in SAR ATR. - Weijie Li; Wei Yang 046; Li Liu 002; Wenpeng Zhang 002; Yongxiang Liu (CoRR, 2023)

Learning Invariant Representation via Contrastive Feature Alignment for Clutter Robust SAR Target Recognition. - Bowen Peng; Jianyue Xie; Bo Peng; Li Liu 002 (CoRR, 2023)

Few-shot Class-incremental Pill Recognition. - Jinghua Zhang; Li Liu 002; Kai Gao 011; Dewen Hu (CoRR, 2023)

Deep Intellectual Property: A Survey. - Yuchen Sun; Tianpeng Liu; Panhe Hu; Qing Liao 001; Shouling Ji; Nenghai Yu; Deke Guo; Li Liu 002 (CoRR, 2023)

Few-shot Class-incremental Learning: A Survey. - Jinghua Zhang; Li Liu 002; Olli Silvén; Matti Pietikäinen; Dewen Hu (CoRR, 2023)

Fast Sparse PCA via Positive Semidefinite Projection for Unsupervised Feature Selection. - Junjing Zheng; Xinyu Zhang 010; Yongxiang Liu; Weidong Jiang; Kai Huo; Li Liu 002 (CoRR, 2023)

Enhancing Representations through Heterogeneous Self-Supervised Learning. - Zhong-Yu Li 006; Bowen Yin; Shanghua Gao; Yongxiang Liu; Li Liu 002; Ming-Ming Cheng (CoRR, 2023)

Self-Supervised Learning for SAR ATR with a Knowledge-Guided Predictive Architecture. - Weijie Li; Yang Wei; Tianpeng Liu; Yuenan Hou; Yongxiang Liu; Li Liu 002 (CoRR, 2023)

ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks. - Peng Zhao; Jiehua Zhang; Bowen Peng; Longguang Wang; Yingmei Wei; Yu Liu 012; Li Liu 002 (CoRR, 2023)

Discovering and Explaining the Noncausality of Deep Learning in SAR ATR. - Weijie Li; Wei Yang 046; Li Liu 002; Wenpeng Zhang 002; Yongxiang Liu (IEEE Geosci. Remote. Sens. Lett., 2023)

Learning Invariant Representation Via Contrastive Feature Alignment for Clutter Robust SAR ATR. - Bowen Peng; Jianyue Xie; Bo Peng; Li Liu 002 (IEEE Geosci. Remote. Sens. Lett., 2023)

Redundancy-Reduced Sparsity-Based Adaptive Beamforming for Polarization-Sensitive Arrays. - Yun Cheng; Tianpeng Liu; Junpeng Shi; Li Liu 002; Yongxiang Liu (IEEE Signal Process. Lett., 2023)

Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle Recognition. - Weijie Li; Wei Yang 046; Wenpeng Zhang 002; Tianpeng Liu; Yongxiang Liu; Li Liu 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Structural Regression Fusion for Unsupervised Multimodal Change Detection. - Yuli Sun; Lin Lei; Li Liu 002; Gangyao Kuang (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 017; Xinyi Ying; Yingqian Wang 002; Miao Li; Li Liu 002; Wei An; Zhijie Chen (IEEE Trans. Geosci. Remote. Sens., 2023)

Few-Shot Class-Incremental SAR Target Recognition via Cosine Prototype Learning. - Yan Zhao 026; Lingjun Zhao; Ding Ding; Dewen Hu; Gangyao Kuang; Li Liu 002 (IEEE Trans. Geosci. Remote. Sens., 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 001; Olli Silvén; Li Liu 002 (IEEE Trans. Instrum. Meas., 2023)

Lifelong Fine-Grained Image Retrieval. - Wei Chen 072; Haoyang Xu; Nan Pu; Yu Liu 012; Mingrui Lao; Weiping Wang 002; Li Liu 002; Michael S. Lew (IEEE Trans. Multim., 2023)

Uncertainty-Guided Semi-Supervised Few-Shot Class-Incremental Learning With Knowledge Distillation. - Yawen Cui; Wanxia Deng; Xin Xu 001; Zhen Liu 004; Zhong Liu 002; Matti Pietikäinen; Li Liu 002 (IEEE Trans. Multim., 2023)

Importance-Aware Information Bottleneck Learning Paradigm for Lip Reading. - Changchong Sheng; Li Liu 002; Wanxia Deng; Liang Bai; Zhong Liu 002; Songyang Lao; Gangyao Kuang; Matti Pietikäinen (IEEE Trans. Multim., 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 002 (Remote. Sens., 2023)

New Wine Old Bottles: Feistel Structure Revised. - Jiajie Liu; Bing Sun 001; Guoqiang Liu; Xinfeng Dong; Li Liu 002; Hua Zhang 008; Chao Li 002 (IEEE Trans. Inf. Theory, 2023)

Deep Learning for Instance Retrieval: A Survey. - Wei Chen 072; Yu Liu 012; Weiping Wang 002; Erwin M. Bakker; Theodoros Georgiou 001; Paul W. Fieguth; Li Liu 002; Michael S. Lew (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Late Fusion Multiple Kernel Clustering With Proxy Graph Refinement. - Siwei Wang 001; Xinwang Liu 002; Li Liu 002; Sihang Zhou 001; En Zhu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Unbiased Scene Graph Generation via Two-Stage Causal Modeling. - Shuzhou Sun; Shuaifeng Zhi; Qing Liao 001; Janne Heikkilä; Li Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Sim2Word: Explaining Similarity with Representative Attribute Words via Counterfactual Explanations. - Ruoyu Chen 001; Jingzhi Li 002; Hua Zhang 008; Changchong Sheng; Li Liu 002; Xiaochun Cao (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Lightweight Pixel Difference Networks for Efficient Visual Representation Learning. - Zhuo Su 002; Jiehua Zhang; Longguang Wang; Hua Zhang 008; Zhen Liu 004; Matti Pietikäinen; Li Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A Model-Agnostic Approach to Mitigate Gradient Interference for Multi-Task Learning. - Heyan Chai 001; Zhe Yin; Ye Ding 002; Li Liu 002; Binxing Fang; Qing Liao 001 (IEEE Trans. Cybern., 2023)

Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds. - Tianrui Lou; Xiaojun Jia; Jindong Gu; Li Liu 002; Siyuan Liang; Bangyan He; Xiaochun Cao (CVPR, 2024)

DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation. - Bowen Yin; Xuying Zhang; Zhong-Yu Li 006; Li Liu 002; Ming-Ming Cheng; Qibin Hou (ICLR, 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 002 (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Bilateral Reference for High-Resolution Dichotomous Image Segmentation. - Peng Zheng 004; Dehong Gao; Deng-Ping Fan; Li Liu 002; Jorma Laaksonen; Wanli Ouyang; Nicu Sebe (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 002 (CoRR, 2024)

SARATR-X: A Foundation Model for Synthetic Aperture Radar Images Target Recognition. - Weijie Li; Wei Yang 046; Yuenan Hou; Li Liu 002; Yongxiang Liu; Xiang Li 014 (CoRR, 2024)

Visible-Thermal Tiny Object Detection: A Benchmark Dataset and Baselines. - Xinyi Ying; Chao Xiao; Ruojing Li; Xu He; Boyang Li 007; Zhaoxu Li; Yingqian Wang 002; Mingyuan Hu; Qingyu Xu; Zaiping Lin; Miao Li; Shilin Zhou 001; et al. (CoRR, 2024)

Cross Domain Object Detection via Multi-Granularity Confidence Alignment based Mean Teacher. - Jiangming Chen; Li Liu 002; Wanxia Deng; Zhen Liu 004; Yu Liu 012; Yingmei Wei; Yongxiang Liu (CoRR, 2024)

Enhancing Transferability of Targeted Adversarial Examples: A Self-Universal Perspective. - Bowen Peng; Li Liu 002; Tianpeng Liu; Zhen Liu 004; Yongxiang Liu (CoRR, 2024)

Infrared Small Target Detection in Satellite Videos: A New Dataset and A Novel Recurrent Feature Refinement Framework. - Xinyi Ying; Li Liu 002; Zaipin Lin; Yangsi Shi; Yingqian Wang 002; Ruojing Li; Xu Cao; Boyang Li 007; Shilin Zhou 001 (CoRR, 2024)

S4ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack. - Yongxiang Liu; Bowen Peng; Li Liu 002; Xiang Li 014 (CoRR, 2024)

Step-wise Distribution Alignment Guided Style Prompt Tuning for Source-free Cross-domain Few-shot Learning. - Huali Xu; Yongxiang Liu; Li Liu 002; Shuaifeng Zhi; Shuzhou Sun; Tianpeng Liu; Ming-Ming Cheng (CoRR, 2024)

An Integrated Network for SA-ISAR Image Processing With Adaptive Denoising and Super-Resolution Modules. - Mingyao Chen; Jingyuan Xia; Tianpeng Liu; Li Liu 002 (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 002 (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 002 (IEEE Geosci. Remote. Sens. Lett., 2024)

Conditional Random Field-Based Adversarial Attack Against SAR Target Detection. - Jie Zhou 031; Bo Peng; Jianyue Xie; Bowen Peng; Li Liu 002; Xiang Li 014 (IEEE Geosci. Remote. Sens. Lett., 2024)

Mitigating SAR Out-of-Distribution Overconfidence Based on Evidential Uncertainty. - Xiaoyan Zhou; Tao Tang 006; Zhongzhen Sun; Gangyao Kuang; Janne Heikkilä; Li Liu 002 (IEEE Geosci. Remote. Sens. Lett., 2024)

DiffDet4SAR: Diffusion-Based Aircraft Target Detection Network for SAR Images. - Jie Zhou 031; Chao Xiao; Bo Peng; Zhen Liu 004; Li Liu 002; Yongxiang Liu; Xiang Li 014 (IEEE Geosci. Remote. Sens. Lett., 2024)

Meta-learning based blind image super-resolution approach to different degradations. - Zhixiong Yang 001; Jingyuan Xia; Shengxi Li; Wende Liu; Shuaifeng Zhi; Shuanghui Zhang; Li Liu 002; Yaowen Fu; Deniz Gündüz (Neural Networks, 2024)

Decoupled Self-Supervised Subspace Classifier for Few-Shot Class-Incremental SAR Target Recognition. - Yan Zhao 026; Lingjun Zhao; Siqian Zhang; Li Liu 002; Kefeng Ji; Gangyao Kuang (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 002 (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 002; Yongxiang Liu (IEEE J. Sel. Top. Appl. Earth Obs. 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 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

From Coarse to Fine: ISAR Object View Interpolation via Flow Estimation and GAN. - Jiawei Zhang; Zhen Liu 004; Weidong Jiang; Yongxiang Liu; Shuowei Liu; Li Liu 002 (IEEE Trans. Geosci. Remote. Sens., 2024)

Azimuth-Aware Subspace Classifier for Few-Shot Class-Incremental SAR ATR. - Yan Zhao 026; Lingjun Zhao; Siqian Zhang; Kefeng Ji; Gangyao Kuang; Li Liu 002 (IEEE Trans. Geosci. Remote. Sens., 2024)

CDDNet: Camouflaged Defect Detection Network for Steel Surface. - Qiwu Luo; Ben Li; Jiaojiao Su; Chunhua Yang 001; Weihua Gui 001; Olli Silvén; Li Liu 002 (IEEE Trans. Instrum. Meas., 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 001; Weihua Gui 001; Olli Silvén; Li Liu 002 (IEEE Trans. Instrum. Meas., 2024)

Enhancing Information Maximization With Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning. - Huali Xu; Li Liu 002; Shuaifeng Zhi; Shaojing Fu; Zhuo Su 002; Ming-Ming Cheng; Yongxiang Liu (IEEE Trans. Image Process., 2024)

Rethinking Few-Shot Class-Incremental Learning With Open-Set Hypothesis in Hyperbolic Geometry. - Yawen Cui; Zitong Yu; Wei Peng 009; Qi Tian 001; Li Liu 002 (IEEE Trans. Multim., 2024)

Improved (Related-Key) Differential-Based Neural Distinguishers for SIMON and SIMECK Block Ciphers. - Jinyu Lu; Guoqiang Liu; Bing Sun 001; Chao Li 002; Li Liu 002 (Comput. J., 2024)

An Adaptive Post-Processing Network With the Global-Local Aggregation for Semantic Segmentation. - Guilin Zhu; Runmin Wang; Yingying Liu; Zhenlin Zhu; Changxin Gao; Li Liu 002; Nong Sang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Image Regression With Structure Cycle Consistency for Heterogeneous Change Detection. - Yuli Sun; Lin Lei; Dongdong Guan; Junzheng Wu; Gangyao Kuang; Li Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

3D Face Recognition: Two Decades of Progress and Prospects. - Yulan Guo; Hanyun Wang; Longguang Wang; Yinjie Lei; Li Liu 002; Mohammed Bennamoun (ACM Comput. Surv., 2024)

Editorial: Learning With Fewer Labels in Computer Vision. - Li Liu 002; Timothy M. Hospedales; Yann LeCun; Mingsheng Long; Jiebo Luo 001; Wanli Ouyang; Matti Pietikäinen; Tinne Tuytelaars (IEEE Trans. Pattern Anal. Mach. Intell., 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 002 (IEEE Trans. Cybern., 2024)

Revisiting Computer-Aided Tuberculosis Diagnosis. - Yun Liu 011; Yu-Huan Wu; Shi-Chen Zhang; Li Liu 002; Min Wu 008; Ming-Ming Cheng (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

PMSA-DyTr: Prior-Modulated and Semantic-Aligned Dynamic Transformer for Strip Steel Defect Detection. - Jiaojiao Su; Qiwu Luo; Chunhua Yang 001; Weihua Gui 001; Olli Silvén; Li Liu 002 (IEEE Trans. Ind. Informatics, 2024)

SplatFlow: Learning Multi-frame Optical Flow via Splatting. - Bo Wang 144; Yifan Zhang; Jian Li 003; Yang Yu 014; Zhenping Sun; Li Liu 002; Dewen Hu (Int. J. Comput. Vis., 2024)

Deep Learning for Visual Speech Analysis: A Survey. - Changchong Sheng; Gangyao Kuang; Liang Bai; Chenping Hou; Yulan Guo; Xin Xu 001; Matti Pietikäinen; Li Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning. - Yawen Cui; Wanxia Deng; Haoyu Chen 001; Li Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Highly Efficient and Unsupervised Framework for Moving Object Detection in Satellite Videos. - Chao Xiao; Wei An; Yifan Zhang; Zhuo Su 002; Miao Li; Weidong Sheng; Matti Pietikäinen; Li Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

TTDNet: An End-to-End Traffic Text Detection Framework for Open Driving Environments. - Runmin Wang; Yanbin Zhu; Hua Chen; Zhenlin Zhu; Xiangyu Zhang; Yajun Ding; Shengyou Qian; Changxin Gao; Li Liu 002; Nong Sang (IEEE Trans. Intell. Transp. Syst., 2024)

KMSharing: The Framework and Space Abstraction for Efficient Data Sharing at the Network Edge. - Yuchen Sun; Lailong Luo; Deke Guo; Li Liu 002; Junjie Xie (IEEE/ACM Trans. Netw., 2024)

Training Binary Neural Networks with Deep Semantic Guidance. - Jiehua Zhang; Zhuo Su 002; Li Liu 002 (SCIA (2), 2025)

Characteristic-Driven Deep Learning in Synthetic Aperture Radar Target Recognition. - Xiaoyan Zhou; Zhuo Su 002; Tao Tang 006; Li Liu 002; Gangyao Kuang (SCIA (2), 2025)

TS-BiT: Two-Stage Binary Transformer for ORSI Salient Object Detection. - Jinfeng Zhang; Tianpeng Liu; Jiehua Zhang; Li Liu 002 (IEEE Geosci. Remote. Sens. Lett., 2025)

Lightweight Dual-Stream SAR-ATR Framework Based on an Attention Mechanism-Guided Heterogeneous Graph Network. - Xuying Xiong; Xinyu Zhang 010; Weidong Jiang; Tianpeng Liu; Yongxiang Liu; Li Liu 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Infrared Small Target Detection in Satellite Videos: A New Dataset and a Novel Recurrent Feature Refinement Framework. - Xinyi Ying; Li Liu 002; Zaiping Lin; Yangsi Shi; Yingqian Wang 002; Ruojing Li; Xu Cao; Boyang Li 007; Shilin Zhou 001; Wei An (IEEE Trans. Geosci. Remote. Sens., 2025)

Heterogeneous Binary Pixel Difference Networks for Remote Sensing Object Detection. - Jialei Zhan; Liang Bai; Jiehua Zhang; Tianpeng Liu; Fan Shi; Yongxiang Liu; Li Liu 002 (IEEE Trans. Geosci. Remote. Sens., 2025)

Detection of Small Targets on the Sea Surface Based on High-Dimensional ConvH Classifier. - Xijie Wu; Tianpeng Liu; Yongxiang Liu; Li Liu 002 (IEEE Trans. Instrum. Meas., 2025)

Refining Pseudo Labeling via Multi-Granularity Confidence Alignment for Unsupervised Cross Domain Object Detection. - Jiangming Chen; Li Liu 002; Wanxia Deng; Zhen Liu 004; Yu Liu 012; Yingmei Wei; Yongxiang Liu (IEEE Trans. Image Process., 2025)

SARATR-X: Toward Building a Foundation Model for SAR Target Recognition. - Weijie Li; Wei Yang 046; Yuenan Hou; Li Liu 002; Yongxiang Liu; Xiang Li 014 (IEEE Trans. Image Process., 2025)

CMoA: Contrastive Mixture of Adapters for Generalized Few-Shot Continual Learning. - Yawen Cui; Jian Zhao 006; Zitong Yu; Rizhao Cai; Xun Wang; Lei Jin 003; Alex C. Kot; Li Liu 002; Xuelong Li 001 (IEEE Trans. Multim., 2025)

Uncovering Bias in Foundation Models: Impact, Testing, Harm, and Mitigation. - Shuzhou Sun; Li Liu 002; Yongxiang Liu; Zhen Liu 004; Shuanghui Zhang; Janne Heikkilä; Xiang Li 014 (CoRR, 2025)

NUDT4MSTAR: A Large Dataset and Benchmark Towards Remote Sensing Object Recognition in the Wild. - Yongxiang Liu; Weijie Li; Li Liu 002; Jie Zhou 031; Xuying Xiong; Bowen Peng; Yafei Song; Wei Yang 046; Tianpeng Liu; Zhen Liu 004; Xiang Li 014 (CoRR, 2025)

Boosting Convolutional Neural Networks With Middle Spectrum Grouped Convolution. - Zhuo Su 002; Jiehua Zhang; Tianpeng Liu; Zhen Liu 004; Shuanghui Zhang; Matti Pietikäinen; Li Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Less is More: Efficient Black-box Attribution via Minimal Interpretable Subset Selection. - Ruoyu Chen 001; Siyuan Liang; Jingzhi Li 002; Shiming Liu; Li Liu 002; Hua Zhang 008; Xiaochun Cao (CoRR, 2025)

Towards Realistic Low-Light Image Enhancement via ISP Driven Data Modeling. - Zhihua Wang; Yu Long; Qinghua Lin; Kai Zhang; Yazhu Zhang; Yuming Fang; Li Liu 002; Xiaochun Cao (CoRR, 2025)

Few-Shot Class-Incremental Learning for Classification and Object Detection: A Survey. - Jinghua Zhang; Li Liu 002; Olli Silvén; Matti Pietikäinen; Dewen Hu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Locality Preservation for Unsupervised Multimodal Change Detection in Remote Sensing Imagery. - Yuli Sun; Lin Lei; Dongdong Guan; Gangyao Kuang; Zhang Li; Li Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Causal Adjustment Module for Debiasing Scene Graph Generation. - Li Liu 002; Shuzhou Sun; Shuaifeng Zhi; Fan Shi; Zhen Liu 004; Janne Heikkilä; Yongxiang Liu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Probing Deep into Temporal Profile Makes the Infrared Small Target Detector Much Better. - Ruojing Li; Wei An; Xinyi Ying; Yingqian Wang 002; Yimian Dai; Longguang Wang; Miao Li; Yulan Guo; Li Liu 002 (CoRR, 2025)

UEVAVD: A Dataset for Developing UAV's Eye View Active Object Detection. - Xinhua Jiang; Tianpeng Liu; Li Liu 002; Zhen Liu 004; Yongxiang Liu (IEEE Robotics Autom. Lett., 2025)

Reinforcement Learning-Based Multitarget Detection Method for MIMO Radar via Multirank Beamformer. - Xijie Wu; Tianpeng Liu; Yongxiang Liu; Li Liu 002 (IEEE Trans. Aerosp. Electron. Syst., 2025)

A Forward and Backward Compatible Framework for Few-Shot Class-Incremental Pill Recognition. - Jinghua Zhang; Li Liu 002; Kai Gao 011; Dewen Hu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Rapid Salient Object Detection with Difference Convolutional Neural Networks. - Zhuo Su 002; Li Liu 002; Matthias Müller; Jiehua Zhang; Diana Wofk; Ming-Ming Cheng; Matti Pietikäinen (CoRR, 2025)

Camouflaged Object Detection with Adaptive Partition and Background Retrieval. - Bowen Yin; Xuying Zhang; Li Liu 002; Ming-Ming Cheng; Yongxiang Liu; Qibin Hou (Int. J. Comput. Vis., 2025)

Enhancing Representations Through Heterogeneous Self-Supervised Learning. - Zhongyu Li 006; Bowen Yin; Yongxiang Liu; Li Liu 002; Ming-Ming Cheng (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Visible-Thermal Tiny Object Detection: A Benchmark Dataset and Baselines. - Xinyi Ying; Chao Xiao; Wei An; Ruojing Li; Xu He; Boyang Li 007; Xu Cao; Zhaoxu Li; Yingqian Wang 002; Mingyuan Hu; Qingyu Xu; Zaiping Lin; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey. - Huali Xu; Shuaifeng Zhi; Shuzhou Sun; Vishal M. Patel; Li Liu 002 (ACM Comput. Surv., 2025)

Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection. - Ruoyu Chen 001; Hua Zhang 008; Jingzhi Li 002; Li Liu 002; Zhen Huang 006; Xiaochun Cao (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

S3INet: Semantic-Information Space Sharing Interaction Network for Arbitrary Shape Text Detection. - Runmin Wang; Hua Chen; Yanbin Zhu; Juan Xu; Xiaofei Cao; Zhenlin Zhu; Shengyou Qian; Changxin Gao; Li Liu 002; Nong Sang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Sample Adaptive Localized Simple Multiple Kernel K-Means and its Application in Parcellation of Human Cerebral Cortex. - Xinwang Liu 002; Yi Zhang 104; Li Liu 002; Chang Tang; Limin Peng; Long Lan; Dewen Hu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

A Reverse Causal Framework to Mitigate Spurious Correlations for Debiasing Scene Graph Generation. - Shuzhou Sun; Li Liu 002; Tianpeng Liu; Shuaifeng Zhi; Ming-Ming Cheng; Janne Heikkilä; Yongxiang Liu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

SceneTracker: Long-Term Scene Flow Estimation Network. - Bo Wang 144; Jian Li 003; Yang Yu 014; Li Liu 002; Zhenping Sun; Dewen Hu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)