Baodi Liu

According to our database, Baodi Liu authored at least 148 papers between 2011 and 2024.

Collaborative distances:

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

2024

Design of integrated interactive system for pre-diagnosis of breast cancer pathological images based on CNN and PyQt5.

Yunkai Yang, Qijia Yang, Weifeng Liu, Baodi Liu

Multim. Syst., April, 2024

Non-local Graph Convolutional Network.

Chunyu Du, Shuai Shao, Jun Tang, Xinjing Song, Weifeng Liu, Baodi Liu, Yanjiang Wang

Circuits Syst. Signal Process., April, 2024

FADS: Fourier-Augmentation Based Data-Shunting for Few-Shot Classification.

Shuai Shao, Yan Wang, Bin Liu, Weifeng Liu, Yanjiang Wang, Baodi Liu

IEEE Trans. Circuits Syst. Video Technol., February, 2024

Beyond coordinate attention: spatial-temporal recalibration and channel scaling for skeleton-based action recognition.

Jun Tang, Sihang Gong, Yanjiang Wang, Baodi Liu, Chunyu Du, Boyang Gu

Signal Image Video Process., February, 2024

Simplified Multi-head Mechanism for Few-Shot Remote Sensing Image Classification.

Xujian Qiao, Lei Xing, Anxun Han, Weifeng Liu, Baodi Liu

Neural Process. Lett., February, 2024

MCNet: Magnitude consistency network for domain adaptive object detection under inclement environments.

Jian Pang, Weifeng Liu, Bingfeng Zhang, Xinghao Yang, Baodi Liu, Dapeng Tao

Pattern Recognit., January, 2024

Gradient Guided Multiscale Feature Collaboration Networks for Few-Shot Class-Incremental Remote Sensing Scene Classification.

Wuli Wang, Li Zhang, Sichao Fu, Peng Ren, Guangbo Ren, Qinmu Peng, Baodi Liu

IEEE Trans. Geosci. Remote. Sens., 2024

An Ultralightweight Hybrid CNN Based on Redundancy Removal for Hyperspectral Image Classification.

Xiaohu Ma, Wuli Wang, Wei Li, Jianbu Wang, Guangbo Ren, Peng Ren, Baodi Liu

IEEE Trans. Geosci. Remote. Sens., 2024

EME: Energy-Based Multiexpert Model for Long-Tailed Remote Sensing Image Classification.

Yu Bai, Shuai Shao, Shiyuan Zhao, Weifeng Liu, Dapeng Tao, Baodi Liu

IEEE Trans. Geosci. Remote. Sens., 2024

SELM: Self-Motivated Ensemble Learning Model for Cross-Domain Few-Shot Classification in Hyperspectral Images.

Shiyuan Zhao, Yu Bai, Shuai Shao, Weifeng Liu, Xinmin Ge, Ye Li, Baodi Liu

IEEE Geosci. Remote. Sens. Lett., 2024

Dual-Branch Feature Fusion Network Based Cross-Modal Enhanced CNN and Transformer for Hyperspectral and LiDAR Classification.

Wuli Wang, Chong Li, Peng Ren, Xinchao Lu, Jianbu Wang, Guangbo Ren, Baodi Liu

IEEE Geosci. Remote. Sens. Lett., 2024

MWLN: Multilevel Wavelet Learning Network for Continuous-Scale Remote-Sensing Image Super-Resolution.

Baodi Liu, Lifei Zhao, Weifeng Liu, Ye Li

IEEE Geosci. Remote. Sens. Lett., 2024

HSIR-ME-CPMG: A High-Resolved Pulse Sequence for the T₁ - T₂ Measurement of Unconventional Reservoir Rocks.

Xinmin Ge, Quansheng Miao, Nan Li, Yufei He, Lei Xing, Baodi Liu, Fu Zuo

IEEE Geosci. Remote. Sens. Lett., 2024

Collaborative Consortium of Foundation Models for Open-World Few-Shot Learning.

Shuai Shao, Yu Bai, Yan Wang, Baodi Liu, Bin Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Cross-Domain Few-Shot classification via class-shared and class-specific dictionaries.

Renjie Xu, Lei Xing, Baodi Liu, Dapeng Tao, Weijia Cao, Weifeng Liu

Pattern Recognit., December, 2023

Dynamic Feature Attention Network for Remote Sensing Image Dehazing.

Yang Hao, Wenzong Jiang, Weifeng Liu, Weijia Cao, Baodi Liu

Neural Process. Lett., December, 2023

GSA4FDA: Deep Geometric and Statistic Alignment for Fewer Labeled Domain Adaptation.

Yuying Cai, Baodi Liu, Xinghao Yang, Xiaoping Lu, Dapeng Tao, Weifeng Liu

Neural Process. Lett., December, 2023

Decision fusion for few-shot image classification.

Tianhao Yuan, Weifeng Liu, Fei Yan, Baodi Liu

Int. J. Multim. Inf. Retr., December, 2023

Feature Fusion Based Parallel Graph Convolutional Neural Network for Image Annotation.

Mengke Wang, Yan Liu, Weifeng Liu, Baodi Liu

Neural Process. Lett., October, 2023

Generation-based parallel particle swarm optimization for adversarial text attacks.

Xinghao Yang, Yupeng Qi, Honglong Chen, Baodi Liu, Weifeng Liu

Inf. Sci., October, 2023

Object tracking based on siamese network with 3D attention and multiple graph attention.

Shilei Yan, Yujuan Qi, Mengxue Liu, Yan-Jiang Wang, Baodi Liu

Comput. Vis. Image Underst., October, 2023

Subspace prototype learning for few-Shot remote sensing scene classification.

Wuli Wang, Lei Xing, Peng Ren, Yumeng Jiang, Ge Wang, Baodi Liu

Signal Process., July, 2023

Non-Contrastive Nearest Neighbor Identity-Guided Method for Unsupervised Object Re-Identification.

Dongchen Han, Weifeng Liu, Mingchen Zou, Baodi Liu

IEEE Trans. Circuits Syst. Video Technol., June, 2023

Attention-Based Multi-View Feature Collaboration for Decoupled Few-Shot Learning.

Shuai Shao, Lei Xing, Yanjiang Wang, Baodi Liu, Weifeng Liu, Yicong Zhou

IEEE Trans. Circuits Syst. Video Technol., May, 2023

Shared Dictionary Learning Via Coupled Adaptations for Cross-Domain Classification.

Yuying Cai, Jinfeng Li, Baodi Liu, Weijia Cao, Honglong Chen, Weifeng Liu

Neural Process. Lett., April, 2023

Dictionary Learning for Few-Shot Remote Sensing Scene Classification.

Yuteng Ma, Junmin Meng, Baodi Liu, Lina Sun, Hao Zhang, Peng Ren

Remote. Sens., February, 2023

ARPCNN: Auxiliary Review-Based Personalized Attentional CNN for Trustworthy Recommendation.

Zhe Li, Honglong Chen, Zhichen Ni, Xiaogang Deng, Baodi Liu, Weifeng Liu

IEEE Trans. Ind. Informatics, 2023

A Lightweight Hybrid Convolutional Neural Network for Hyperspectral Image Classification.

Xiaohu Ma, Xudong Kang, Huawei Qin, Wuli Wang, Guangbo Ren, Jianbu Wang, Baodi Liu

IEEE Trans. Geosci. Remote. Sens., 2023

RAN: Region-Aware Network for Remote Sensing Image Super-Resolution.

Baodi Liu, Lifei Zhao, Shuai Shao, Weifeng Liu, Dapeng Tao, Weijia Cao, Yicong Zhou

IEEE Trans. Geosci. Remote. Sens., 2023

Dynamic Adaptive Attention-Guided Self-Supervised Single Remote-Sensing Image Denoising.

Minghao Liu, Wenzong Jiang, Weifeng Liu, Dapeng Tao, Baodi Liu

IEEE Trans. Geosci. Remote. Sens., 2023

Double Discriminative Constraint-Based Affine Nonnegative Representation for Few-Shot Remote Sensing Scene Classification.

Tianhao Yuan, Weifeng Liu, Baodi Liu

IEEE Geosci. Remote. Sens. Lett., 2023

Class Centralized Dictionary Learning for Few-Shot Remote Sensing Scene Classification.

Lei Wei, Lei Xing, Lifei Zhao, Baodi Liu

IEEE Geosci. Remote. Sens. Lett., 2023

Deformable Convolutional Network Constrained by Contrastive Learning for Underwater Image Enhancement.

Jing Tian, Xinran Guo, Weifeng Liu, Dapeng Tao, Baodi Liu

IEEE Geosci. Remote. Sens. Lett., 2023

Selecting Information Fusion Generative Adversarial Network for Remote-Sensing Image Cloud Removal.

Yang Hao, Wenzong Jiang, Weifeng Liu, Ye Li, Bao-Di Liu

IEEE Geosci. Remote. Sens. Lett., 2023

CSN: Component supervised network for few-shot classification.

Rui Xu, Shuai Shao, Lei Xing, Yujun Wei, Weifeng Liu, Baodi Liu, Yanjiang Wang

Eng. Appl. Artif. Intell., 2023

Deep Positional-Representation-Based Local Information Retention Networks for Mammography Classification.

Bowen Han, Luhao Sun, Chao Li, Zhiyong Yu, Wenzong Jiang, Weifeng Liu, Dapeng Tao, Baodi Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

A Stable Vision Transformer for Out-of-Distribution Generalization.

Haoran Yu, Baodi Liu, Yingjie Wang, Kai Zhang, Dapeng Tao, Weifeng Liu

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Annealing Genetic-based Preposition Substitution for Text Rubbish Example Generation.

Chen Li, Xinghao Yang, Baodi Liu, Weifeng Liu, Honglong Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Self-Compensating Learning for Few-Shot Segmentation.

Jin Wang, Bingfeng Zhang, Weifeng Liu, Baodi Liu, Siyue Yu

Proceedings of the IEEE International Conference on Image Processing, 2023

Attribute Space Analysis for Image Editing.

Yiping Chen, Shuqi Yang, Baodi Liu, Weifeng Liu

Proceedings of the Image and Graphics - 12th International Conference, 2023

Interpretable Drawing Psychoanalysis via House-Tree-Person Test.

Yaowu Xie, Ting Pan, Baodi Liu, Honglong Chen, Weifeng Liu

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

Multi-graph Laplacian Feature Mapping Incorporating Tag Information for Image Annotation.

Yan Liu, Qianqian Shao, Rui Cheng, Weifeng Liu, Baodi Liu

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022

Accurately Modeling the Resting Brain Functional Correlations Using Wave Equation With Spatiotemporal Varying Hypergraph Laplacian.

Yanjiang Wang, Jichao Ma, Xue Chen, Baodi Liu

IEEE Trans. Medical Imaging, 2022

GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning.

Rui Xu, Lei Xing, Shuai Shao, Lifei Zhao, Baodi Liu, Weifeng Liu, Yicong Zhou

IEEE Trans. Circuits Syst. Video Technol., 2022

MDFM: Multi-Decision Fusing Model for Few-Shot Learning.

Shuai Shao, Lei Xing, Rui Xu, Weifeng Liu, Yanjiang Wang, Bao-Di Liu

IEEE Trans. Circuits Syst. Video Technol., 2022

Multistep-Ahead Prediction of Ocean SSTA Based on Hybrid Empirical Mode Decomposition and Gated Recurrent Unit Model.

Xiaoyin Liu, Ning Li, Jun Guo, Zhongyong Fan, Xiaoping Lu, Weifeng Liu, Baodi Liu

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

Class-Shared SparsePCA for Few-Shot Remote Sensing Scene Classification.

Jiayan Wang, Xueqin Wang, Lei Xing, Bao-Di Liu, Zongmin Li

Remote. Sens., 2022

Multi-Scale LBP Texture Feature Learning Network for Remote Sensing Interpretation of Land Desertification.

Wuli Wang, Yumeng Jiang, Ge Wang, Fangming Guo, Zhongwei Li, Baodi Liu

Remote. Sens., 2022

Co-Learning for Few-Shot Learning.

Rui Xu, Lei Xing, Shuai Shao, Baodi Liu, Kai Zhang, Weifeng Liu

Neural Process. Lett., 2022

DMH-FSL: Dual-Modal Hypergraph for Few-Shot Learning.

Rui Xu, Baodi Liu, Xiaoping Lu, Kai Zhang, Weifeng Liu

Neural Process. Lett., 2022

Class Shared Dictionary Learning for Few-Shot Remote Sensing Scene Classification.

Lei Xing, Lifei Zhao, Weijia Cao, Xinmin Ge, Weifeng Liu, Baodi Liu

IEEE Geosci. Remote. Sens. Lett., 2022

Learning to Cooperate: Decision Fusion Method for Few-Shot Remote-Sensing Scene Classification.

Lei Xing, Shuai Shao, Yuteng Ma, Yanjiang Wang, Weifeng Liu, Baodi Liu

IEEE Geosci. Remote. Sens. Lett., 2022

Rethinking Few-Shot Remote Sensing Scene Classification: A Good Embedding Is All You Need?

Lei Xing, Yuteng Ma, Weijia Cao, Shuai Shao, Weifeng Liu, Baodi Liu

IEEE Geosci. Remote. Sens. Lett., 2022

A Hybrid CNN Based on Global Reasoning for Hyperspectral Image Classification.

Wuli Wang, Xiaohu Ma, Linchun Leng, Yanjiang Wang, Baodi Liu, Jinfeng Sun

IEEE Geosci. Remote. Sens. Lett., 2022

Location Soft-Aggregation-Based Band Weighting for Hyperspectral Image Classification.

Xuefei Li, Baodi Liu, Kai Zhang, Weifeng Liu

IEEE Geosci. Remote. Sens. Lett., 2022

Multiorder Interaction Information Embedding-Based Multiview Fusion-Aided Hyperspectral Image Classification.

Xuefei Li, Weijia Cao, Kai Zhang, Baodi Liu, Dapeng Tao, Weifeng Liu

IEEE Geosci. Remote. Sens. Lett., 2022

U-Shaped Attention Connection Network for Remote-Sensing Image Super-Resolution.

Wenzong Jiang, Lifei Zhao, Yanjiang Wang, Weifeng Liu, Bao-Di Liu

IEEE Geosci. Remote. Sens. Lett., 2022

Hyperspectral Image Classification Using CNN-Enhanced Multi-Level Haar Wavelet Features Fusion Network.

Wenhui Guo, Guixun Xu, Baodi Liu, Yanjiang Wang

IEEE Geosci. Remote. Sens. Lett., 2022

Adaptive multi-scale transductive information propagation for few-shot learning.

Sichao Fu, Baodi Liu, Weifeng Liu, Bin Zou, Xinhua You, Qinmu Peng, Xiao-Yuan Jing

Knowl. Based Syst., 2022

Adaptive graph convolutional collaboration networks for semi-supervised classification.

Sichao Fu, Senlin Wang, Weifeng Liu, Baodi Liu, Bin Zhou, Xinhua You, Qinmu Peng, Xiao-Yuan Jing

Inf. Sci., 2022

Learning task-specific discriminative embeddings for few-shot image classification.

Lei Xing, Shuai Shao, Weifeng Liu, Anxun Han, Xiangshuai Pan, Bao-Di Liu

Neurocomputing, 2022

DLDL: Dynamic label dictionary learning via hypergraph regularization.

Shuai Shao, Rui Xu, Zhenfang Wang, Weifeng Liu, Yanjiang Wang, Bao-Di Liu

Neurocomputing, 2022

Multi-view learning for hyperspectral image classification: An overview.

Xuefei Li, Baodi Liu, Kai Zhang, Honglong Chen, Weijia Cao, Weifeng Liu, Dapeng Tao

Neurocomputing, 2022

Object re-identification with distribution corrected ranking list.

Dongchen Han, Shuai Shao, Weifeng Liu, Bao-Di Liu

Neurocomputing, 2022

A graph convolutional neural network model with Fisher vector encoding and channel-wise spatial-temporal aggregation for skeleton-based action recognition.

Jun Tang, Yanjiang Wang, Sichao Fu, Baodi Liu, Weifeng Liu

IET Image Process., 2022

Selecting task with optimal transport self-supervised learning for few-shot classification.

Renjie Xu, Xinghao Yang, Baodi Liu, Kai Zhang, Weifeng Liu

CoRR, 2022

CSN: Component-Supervised Network for Few-Shot Classification.

Shuai Shao, Baodi Liu, Lei Xing, Lifei Zhao, Yanjiang Wang, Weifeng Liu, Yicong Zhou

CoRR, 2022

Multi-relational Semantic Distillation for Few-Shot Object Detection.

Qingtao Xie, Xiangshuai Pan, Weifeng Liu, Baodi Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Multi-task Facial Expression Recognition With Joint Gender Learning.

Xiangshuai Pan, Qingtao Xie, Weifeng Liu, Baodi Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

MVFF: Multi-view Feature Fusion for Few-shot Remote Sensing Image Scene Classification.

Anxun Han, Lei Xing, Weifeng Liu, Baodi Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Automated Drawing Psychoanalysis via House-Tree-Person Test.

Ting Pan, Xiaoming Zhao, Baodi Liu, Weifeng Liu

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

EMAS: Efficient Meta Architecture Search for Few-Shot Learning.

Dongkai Liu, Jiaxing Li, Honglong Chen, Baodi Liu, Xiaoping Lu, Weifeng Liu

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Virtual Try-on via Matching Relation with Landmark.

Hao Wu, Xingxing Yao, Baodi Liu, Xiaoping Lu, Weifeng Liu

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Image Super-Resolution Based on Adaptive Feature Fusion Channel Attention.

Qizhang Song, Baodi Liu, Weifeng Liu

Proceedings of the Neural Information Processing - 29th International Conference, 2022

MSL-FER: Mirrored Self-Supervised Learning for Facial Expression Recognition.

Xiangshuai Pan, Weifeng Liu, Yanjiang Wang, Xiaoping Lu, Baodi Liu

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Agcyclegan: Attention-Guided Cyclegan for Single Underwater Image Restoration.

Zhenlong Wang, Weifeng Liu, Yanjiang Wang, Baodi Liu

Proceedings of the IEEE International Conference on Acoustics, 2022

Enrich Features for Few-Shot Point Cloud Classification.

Hengxin Feng, Weifeng Liu, Yanjiang Wang, Baodi Liu

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Saliency-Guided Remote Sensing Image Super-Resolution.

Baodi Liu, Lifei Zhao, Jiaoyue Li, Hengle Zhao, Weifeng Liu, Ye Li, Yanjiang Wang, Honglong Chen, Weijia Cao

Remote. Sens., 2021

Cross-Dimension Attention Guided Self-Supervised Remote Sensing Single-Image Super-Resolution.

Wenzong Jiang, Lifei Zhao, Yanjiang Wang, Weifeng Liu, Bao-Di Liu

Remote. Sens., 2021

Unified Cross-domain Classification via Geometric and Statistical Adaptations.

Weifeng Liu, Jinfeng Li, Bao-Di Liu, Weili Guan, Yicong Zhou, Changsheng Xu

Pattern Recognit., 2021

Classification of Remotely Sensed Images Using an Ensemble of Improved Convolutional Network.

Li Wang, Yanjiang Wang, Yaqian Zhao, Bao-Di Liu

IEEE Geosci. Remote. Sens. Lett., 2021

Accurately modeling the human brain functional correlations with hypergraph Laplacian.

Jichao Ma, Yanjiang Wang, Bao-Di Liu, Weifeng Liu

Neurocomputing, 2021

Learn from Object Counting: Crowd Counting with Meta-learning.

Changtong Zan, Baodi Liu, Weili Guan, Kai Zhang, Weifeng Liu

IET Image Process., 2021

CNN-combined graph residual network with multilevel feature fusion for hyperspectral image classification.

Wenhui Guo, Guixun Xu, Weifeng Liu, Baodi Liu, Yanjiang Wang

IET Comput. Vis., 2021

CIM: Class-Irrelevant Mapping for Few-Shot Classification.

Shuai Shao, Lei Xing, Yixin Chen, Yanjiang Wang, Bao-Di Liu, Yicong Zhou

CoRR, 2021

Lithology Identification using Well Logging Images Based on Improved Inception Network.

Rui Shan, Qiang Xing, Jinyan Zhang, Jun Wang, Yanjiang Wang, Baodi Liu

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

From Objects to a Whole Painting.

Fei Wang, Baodi Liu, Weifeng Liu

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Adaptive Eigenmodes for Robust Object Tracking.

Mengxue Liu, Yujuan Qi, Yanjiang Wang, Baodi Liu, Weifeng Liu

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

LDAnet: a discriminant subspace for metric-based few-shot learning.

Dalei Chen, Bao-Di Liu

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

MHFC: Multi-Head Feature Collaboration for Few-Shot Learning.

Shuai Shao, Lei Xing, Yan Wang, Rui Xu, Chunyan Zhao, Yanjiang Wang, Baodi Liu

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

Collaborative Representation for Deep Meta Metric Learning.

Min Zhu, Weifeng Liu, Kai Zhang, Ye Li, Peng Liu, Baodi Liu

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

SSDL: Self-Supervised Dictionary Learning.

Shuai Shao, Lei Xing, Wei Yu, Rui Xu, Yan-Jiang Wang, Bao-Di Liu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Affine Non-Negative Collaborative Representation for Deep Metric Learning.

Min Zhu, Bao-Di Liu, Weifeng Liu, Kai Zhang, Ye Li, Xiaoping Lu

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

OPS-Net: Over-Parameterized Sharing Networks for Video Frame Interpolation.

Zhenfang Wang, Yan-Jiang Wang, Shuai Shao, Bao-Di Liu

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

Linked Attention-Based Dynamic Graph Convolution Module for Point Cloud Classification.

Xiaolong Lu, Baodi Liu, Weifeng Liu, Kai Zhang, Ye Li, Xiaoping Lu

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

Adaptive Multi-Feature Fusion for Robust Object Tracking.

Mengxue Liu, Yujuan Qi, Yanjiang Wang, Baodi Liu

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

Leveraging GANs via Non-local Features.

Xuyang Peng, Weifeng Liu, Baodi Liu, Kai Zhang, Xiaoping Lu, Yicong Zhou

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Edge Loss for Remote Sensing Image Super-Resolution.

Jiaoyue Li, Weifeng Liu, Kai Zhang, Baodi Liu

Proceedings of CECNet 2021, 2021

Interference Distillation for Underwater Fish Recognition.

Jian Pang, Weifeng Liu, Baodi Liu, Dapeng Tao, Kai Zhang, Xiaoping Lu

Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

2020

Class specific or shared? A cascaded dictionary learning framework for image classification.

Yanjiang Wang, Shuai Shao, Rui Xu, Weifeng Liu, Bao-Di Liu

Signal Process., 2020

Label embedded dictionary learning for image classification.

Shuai Shao, Rui Xu, Weifeng Liu, Bao-Di Liu, Yanjiang Wang

Neurocomputing, 2020

DLDL: Dynamic Label Dictionary Learning via Hypergraph Regularization.

Shuai Shao, Mengke Wang, Rui Xu, Yanjiang Wang, Bao-Di Liu

CoRR, 2020

SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning.

Shuai Shao, Rui Xu, Yanjiang Wang, Weifeng Liu, Bao-Di Liu

CoRR, 2020

Probabilistic Memory Model for Visual Images Categorization.

Linxia Xiao, Yanjiang Wang, Baodi Liu, Weifeng Liu

Comput. Informatics, 2020

Understanding the Relationship Between Human Brain Structure and Function by Predicting the Structural Connectivity From Functional Connectivity.

Yanjiang Wang, Xue Chen, Bao-Di Liu, Weifeng Liu, Richard Martin Shiffrin

IEEE Access, 2020

Class-Specific Sparse Principal Component Analysis for Visual Classification.

Fei Pan, Zai-Xu Zhang, Bao-Di Liu, Ji-Jun Xie

IEEE Access, 2020

Action Detection Based on 3D Convolution Neural Network with Channel Attention Mechanism.

Yan Gao, Huilai Liang, Bao-Di Liu, Yanjiang Wang

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Inpainting Electrical Logging Images Based on Deep CNN with Attention Mechanisms.

Chunyu Du, Qiang Xing, Jinyan Zhang, Jun Wang, Bao-Di Liu, Yanjiang Wang

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Local structure alignment guided domain adaptation with few source samples.

Yuying Cai, Jinfeng Li, Bao-Di Liu, Weifeng Liu, Kai Zhang, Changsheng Xu

Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

2019

Weighted Spatial Pyramid Matching Collaborative Representation for Remote-Sensing-Image Scene Classification.

Bao-Di Liu, Jie Meng, Wen-Yang Xie, Shuai Shao, Ye Li, Yanjiang Wang

Remote. Sens., 2019

Class Specific or Shared? A Hybrid Dictionary Learning Network for Image Classification.

Shuai Shao, Yanjiang Wang, Bao-Di Liu, Rui Xu, Ye Li

CoRR, 2019

Label Embedded Dictionary Learning for Image Classification.

Shuai Shao, Yanjiang Wang, Bao-Di Liu, Weifeng Liu

CoRR, 2019

Sparse Representation and Collaborative Representation? Both Help Image Classification.

Wen-Yang Xie, Bao-Di Liu, Shuai Shao, Ye Li, Yanjiang Wang

IEEE Access, 2019

Laplacian Eigenmaps Regularized Feature Mapping for Image Annotation.

Qianqian Shao, Bao-Di Liu

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2018

Ranking-Preserving Low-Rank Factorization for Image Annotation With Missing Labels.

Xue Li, Bin Shen, Bao-Di Liu, Yu-Jin Zhang

IEEE Trans. Multim., 2018

Hybrid Collaborative Representation for Remote-Sensing Image Scene Classification.

Bao-Di Liu, Wen-Yang Xie, Jie Meng, Ye Li, Yanjiang Wang

Remote. Sens., 2018

Biological modeling of human visual system for object recognition using GLoP filters and sparse coding on multi-manifolds.

Limiao Deng, Yanjiang Wang, Bao-Di Liu, Weifeng Liu, Yujuan Qi

Mach. Vis. Appl., 2018

Laplace Graph Embedding Class Specific Dictionary Learning for Face Recognition.

Li Wang, Yanjiang Wang, Bao-Di Liu

J. Electr. Comput. Eng., 2018

Recognition of Working Condition in Sucker-Rod Pumping Wells Based on Multi-View Kernel Learning and Hessian-Regularized Logistic Regression.

Bin Zhou, Yanjiang Wang, Weifeng Liu, Bao-Di Liu

Proceedings of the 2018 IEEE International Conference on Signal Processing, 2018

Learn a Hybrid Collaborative Representation for Fine-Grained Image Classification.

Wen-Yang Xie, Bao-Di Liu, Xue Li, Yan-Jiang Wang

Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2018, Burlingame, CA, USA, January 28, 2018

2017

Class specific centralized dictionary learning for face recognition.

Bao-Di Liu, Liangke Gui, Yuting Wang, Yu-Xiong Wang, Bin Shen, Xue Li, Yanjiang Wang

Multim. Tools Appl., 2017

Elastic Net Regularized Dictionary Learning for Face Recognition.

Li Wang, Yanjiang Wang, Bao-Di Liu

Proceedings of the Internet Multimedia Computing and Service, 2017

Probabilistic Collaborative Representation with Kernels for Visual Classification.

Jie Meng, Yanjiang Wang, Bao-Di Liu

Proceedings of the Internet Multimedia Computing and Service, 2017

2016

A Locality Sensitive Low-Rank Model for Image Tag Completion.

Xue Li, Bin Shen, Bao-Di Liu, Yu-Jin Zhang

IEEE Trans. Multim., 2016

Elastic net regularized dictionary learning for image classification.

Bin Shen, Bao-Di Liu, Qifan Wang

Multim. Tools Appl., 2016

Blockwise coordinate descent schemes for efficient and effective dictionary learning.

Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Xue Li, Yu-Jin Zhang, Yanjiang Wang

Neurocomputing, 2016

Face recognition using class specific dictionary learning for sparse representation and collaborative representation.

Bao-Di Liu, Bin Shen, Liangke Gui, Yu-Xiong Wang, Xue Li, Fei Yan, Yanjiang Wang

Neurocomputing, 2016

Low-rank image tag completion with dual reconstruction structure preserved.

Xue Li, Yu-Jin Zhang, Bin Shen, Bao-Di Liu

Neurocomputing, 2016

Class specific dictionary learning based kernel collaborative representation for fine-grained image classification.

Xiaojie Feng, Yanjiang Wang, Bao-Di Liu, Weifeng Liu

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Saliency-context two-stream convnets for action recognition.

Quan-Qi Chen, Feng Liu, Xue Li, Bao-Di Liu, Yu-Jin Zhang

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Class specific discriminant dictionary learning with kernels for face recognition.

Bao-Di Liu, Yuting Wang, Liangke Gui, Yu-Xiong Wang, Bin Shen, Xue Li, Yan-Jiang Wang

Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2016, 2016

2015

Locality sensitive dictionary learning for image classification.

Bao-Di Liu, Bin Shen, Xue Li

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

A Locality Preserving Approach for Kernel PCA.

Yin Zheng, Bin Shen, Xiaofeng Yang, Wanli Ma, Bao-Di Liu, Yu-Jin Zhang

Proceedings of the Image and Graphics - 8th International Conference, 2015

SP-SVM: Large Margin Classifier for Data on Multiple Manifolds.

Bin Shen, Bao-Di Liu, Qifan Wang, Yi Fang, Jan P. Allebach

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Class specific dictionary learning for face recognition.

Bao-Di Liu, Bin Shen, Yu-Xiong Wang

Proceedings of the Proceedings IEEE International Conference on Security, 2014

Class specific subspace learning for collaborative representation.

Bao-Di Liu, Bin Shen, Yu-Xiong Wang, Weifeng Liu, Yanjiang Wang

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Robust nonnegative matrix factorization via L1 norm regularization by multiplicative updating rules.

Bin Shen, Bao-Di Liu, Qifan Wang, Rongrong Ji

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

TISVM: Large margin classifier for misaligned image classification.

Bin Shen, Bao-Di Liu, Jan P. Allebach

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

Image tag completion by low-rank factorization with dual reconstruction structure preserved.

Xue Li, Yu-Jin Zhang, Bin Shen, Bao-Di Liu

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

Blockwise coordinate descent schemes for sparse representation.

Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Yanjiang Wang

Proceedings of the IEEE International Conference on Acoustics, 2014

Self-explanatory Sparse Representation for Image Classification.

Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Martial Hebert

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Learning dictionary on manifolds for image classification.

Bao-Di Liu, Yu-Xiong Wang, Yu-Jin Zhang, Bin Shen

Pattern Recognit., 2013

Self-Explanatory Convex Sparse Representation for Image Classification.

Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Yanjiang Wang, Weifeng Liu

Proceedings of the IEEE International Conference on Systems, 2013

2012

Robust Nonnegative Matrix Factorization via L₁ Norm Regularization

Bin Shen, Luo Si, Rongrong Ji, Bao-Di Liu

CoRR, 2012

Action recognition in still images using a combination of human pose and context information.

Yin Zheng, Yu-Jin Zhang, Xue Li, Bao-Di Liu

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Discriminant sparse coding for image classification.

Bao-Di Liu, Yu-Xiong Wang, Yu-Jin Zhang, Yin Zheng

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Robust Moving Cast Shadows Detection and Removal with Reliability Checking of the Color Property.

Xue Li, Yu-Jin Zhang, Bao-Di Liu

Proceedings of the Sixth International Conference on Image and Graphics, 2011

SENSC algorithm for object and scene categorization.

Baodi Liu, Yu-Jin Zhang

Proceedings of the Multimedia on Mobile Devices 2011; and Multimedia Content Access: Algorithms and Systems V, 2011