刘宝弟｜中国石油大学(华东)｜学者主页

2026

Multiplex graph prompt collaboration for open-set social event detection

Xiuqin Liang, Jiazhen Chen, Sichao Fu, Wuli Wang, Mingbin Feng, Tony S. Wirjanto, Qinmu Peng, Baodi Liu, Weihua Ou

Expert Systems With Applications，Vol. 295

DOI

2026

Adaptive Decision Boundary Learning with Class-Balanced Pseudo-Labelling for Open-Set Semi-Supervised Hyperspectral Image Classification

Wuli Wang, Yun Liu, Qi Sun, Sichao Fu, Jianbu Wang, Baodi Liu, Peng Ren, Zhengxia Zou

Chinese Journal of Electronics

DOI

2026

Uncertainty-aware adaptive feature completion networks for incomplete multi-view learning

Wenzheng Wang, Si-Chao Fu, Jun Wang, Baodi Liu, Chao-Yun Tang, Wei-Hua Ou

Engineering applications of artificial intelligence

DOI

2026

Key Feature Dynamic Enhancement Network for Breast Cancer Pathological Image Classification

Xianghe Cui, Wenzong Jiang, Bin Shen, Wei-Feng Liu, Baodi Liu

Electronic imaging

DOI

2026

Multi-scale feature fusion and reweighting based domain generalization for mammogram classification

Yang Gao, Jiqun Chen, Wenzong Jiang, Weifeng Liu, Zhiyong Yu, Chao Li, Baodi Liu

Multimedia Systems

DOI

2026

Channel-guided dual-pooling multi-scale spatial attention network for mass segmentation in whole mammograms

Yuhang Zhu, Mei Liu (41760), Wenzong Jiang, Weifeng Liu, Xiongbin Wang, Baodi Liu

Multimedia Systems

DOI

2026

Diagnosis-driven hard sample generation: low-frequency attenuation supervised contrastive learning for mammogram classification

Changchao Wang, Wenzong Jiang, Chao Li, Zhiyong Yu, Weifeng Liu, Xiongbin Wang, Baodi Liu

Multimedia Systems

DOI

2026

Local Attention and Detail-enhanced Network for Mass Segmentation in Whole Mammograms

Qingkun Guo, Wenzong Jiang, Bin Shen, Weifeng Liu, Lin Cong, Baodi Liu

Electronic Imaging

DOI

2026

Causal-guided strength differential independence sample weighting for out-of-distribution generalization

Haoran Yu, Weifeng Liu, Yingjie Wang, Baodi Liu, Dapeng Tao, Honglong Chen

Pattern Recognition

DOI

2026

CO3+: Improved Collaborative Consortium of Foundation Models for Open-World Few-Shot Learning

Shuai Shao, Rui Xu, Bingfeng Zhang, Baodi Liu, Weifeng Liu, Yicong Zhou

IEEE Transactions on Circuits and Systems for Video Technology

DOI

2026

Excluding the Interference for Open-Vocabulary Semantic Segmentation

Shuai Shao, Shiyuan Zhao, Rui Xu, Yan Wang, Baodi Liu, Weifeng Liu, Yicong Zhou

IEEE Transactions on Circuits and Systems for Video Technology

DOI

2026

AFAD-Net: scene-adaptive diffusion model with Frequency-spatial logic for Remote Sensing Image Super-Resolution

Ce Jiang, Qiong Song, Weifeng Liu, Tao Dapeng, Baodi Liu, Yue Wang

International Journal of Remote Sensing

DOI

2026

Dual graph network for few-shot 3D point cloud classification

Yang Li, Wei Xu, Xiaoming Gao, Haizhou Tan, Hui Xue, Hengxin Feng, Baodi Liu

Multimedia Systems

DOI

2026

Evolving classifiers with background suppression transformer for open-set long-tailed class-incremental remote sensing scene classification

Yu Jin Song, Sichao Fu, Hongquan Xin, Wuli Wang, Peng Ren, Baodi Liu, Weihua Ou, Dapeng Tao

Neural Networks

DOI

2026

Underwater image enhancement via dual-domain experts with hybrid-masked contrastive learning

Jiajie Qin, Renjie Xu, Wang Jun, Sichao Fu, Baodi Liu

Applied Soft Computing

DOI

2026

Cross-difference-driven dual-stream contrast multi-view network for mammogram classification

Ruijia Tian, Chenteng Zhang, Wenzong Jiang, Chao Li, Zhiyong Yu, Wei Liu, Xiongbin Wang, Baodi Liu

Multimedia Systems

DOI

2026

Dynamic frequency-band filtering domain generalization for mammogram classification

Shenxiao Li, Yunqi Huang, Wenzong Jiang, Chao Li, Zhiyong Yu, Wei Liu, Xiongbin Wang, Baodi Liu

Multimedia Systems

DOI

2026

Leveraging a Cross-Supervision SAM for Weakly-Supervised Camouflaged Object Detection

XQ Jiang, Hao Tang, Baodi Liu, B H Zhang

Communications in computer and information science

DOI

2026

High-Confidence Pseudolabeling-Enhanced Multiorder Dynamic Sparse Graph Aggregation Network for Semi-Supervised Hyperspectral Change Detection

Wuli Wang, Minyao Xia, Sichao Fu, Jianbu Wang, Baodi Liu, Weihua Ou, Jian Wang

IEEE Transactions on Neural Networks and Learning Systems

DOI

2025

基于深度学习的数字图像处理实验平台开发

刘康，刘才学，周成宁，黄磊，刘文骏，李振颖，刘宝弟

《计算机测量与控制》

DOI

2025

基于LDF-YOLO的小目标检测方法

刘洋，任旭虎，刘宝弟，刘伟锋

《电子测量技术》

DOI

2025

DCUGAN: Dual Contrastive Learning GAN for Unsupervised Underwater Image Enhancement

Baodi Liu, Jing Tian, Zhenlong Wang, Weifeng Liu, Xin’an Yuan, Wei Li

Chinese Journal of Electronics

DOI

2025

Seismic trace interpolation via score-based diffusion model with wavelet convolution

Jun Wang, Xin-Rui Chen, Baodi Liu

Journal of Applied Geophysics

DOI

2025

Dual-domain mamba for seismic random noise suppression

Hong-Sheng Chen, Jun Wang, Baodi Liu

Journal of Applied Geophysics

DOI

2025

Fourier aids CNN and transformer for semantic segmentation of remote sensing images

Jun Wang, You-Zhou Wu, Baodi Liu, Wenzhen Wang, Haoran Xu, Ke-Ding Wang

Multimedia Systems

DOI

2025

FSDMB: few-shot object detection via double matching branch

Baodi Liu, Qian Liu, Lei Xing, Qingtao Xie

Multimedia tools and applications

DOI

2025

Enhanced Edge Feature Learning Network for Mammogram Classification

Yongsheng Liu, Wenzong Jiang, Bin Shen, Wei-Feng Liu, Baodi Liu

Electronic imaging

DOI

2025

Convolutional Shared Dictionary Module for Few-shot Learning

Tong Zhou, Chang-Yin Dong, Zhen Wang, Bo Chang, Jun-Shu Song, Bin Shen, Baodi Liu, Pengfei He

Electronic imaging

DOI

2025

Domain Generalization for Mammogram Classification by Suppressing Domain-Specific Features

Jiqun Chen, Lu-Hao Sun, Wenzong Jiang, Wei-Feng Liu, Chao Li, Zhiyong Yu, Baodi Liu

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2025

Early Stroke Cerebral Neural Network Analysis with Functional Near-Infrared Spectroscopy*

Wei Yan, Chunguang Li, Baodi Liu, Li-Ning Sun

IEEE International Conference on Cyborg and Bionic Systems

DOI

2025

Context-aware feature complementary screening network for mass segmentation in whole mammograms

Qingkun Guo, Mei Liu, Lu-Hao Sun, Chao Li, Wenzong Jiang, Wei-Feng Liu, Lin Cong, Zhiyong Yu, Baodi Liu

Multimedia Systems

DOI

2025

WMANet:Weighted multiple adaptive feature attention for self-supervised single remote-sensing image denoising

Haoyu Wang, Haoyu Wang, Xueqin Wang, Xueqin Wang, Xu Lin, Weifeng Liu, Weifeng Liu, Dapeng Tao, Baodi Liu, Yanjiang Wang

Knowledge-Based Systems

DOI

2025

ECTL: Auxiliary Temporal Modeling Module for Video Action Recognition

Jier Zhao, Baodi Liu, Weifeng Liu, Dapeng Tao, YanJiang WANG

International Conference on New Trends in Computational Intelligence (NTCI)

DOI

2025

Joint subgraph independence for graph out-of-distribution generalization

Haoran Yu, Weifeng Liu, Yingjie Wang, Baodi Liu, Dapeng Tao, Dan Zeng, Honglong Chen

Pattern Recognition

DOI

2025

Unbiased Semantic Decoding With Vision Foundation Models for Few-Shot Segmentation

Jin Wang, Bingfeng Zhang, Jian Pang, Weifeng Liu, Baodi Liu, Honglong Chen

IEEE Transactions on Neural Networks and Learning Systems

DOI

2025

DVINet: Differentiated Variable Independence Network for Out-of-Distribution Generalization

Haoran Yu, Weifeng Liu, Yue Wang, Baodi Liu, Dapeng Tao, Honglong Chen

China Automation Congress (CAC)

DOI

2025

Lesion Asymmetry Screening Assisted Global Awareness Multi-View Network for Mammogram Classification

Xinchuan Liu, Luhao Sun, Chao Li, Bowen Han, Wenzong Jiang, Tianhao Yuan, Weifeng Liu, Zhaoyun Liu, Zhiyong Yu, Baodi Liu

IEEE Transactions on Medical Imaging

DOI

2025

Noise-Robust Few-Shot Classification via Variational Adversarial Data Augmentation

Renjie Xu, Baodi Liu, Kai Zhang, Honglong Chen, Dapeng Tao, Weifeng Liu

Computational Visual Media

DOI

2025

See Degraded Objects: A Physics-Guided Approach for Object Detection in Adverse Environments

Weifeng Liu, Jian Pang, Bingfeng Zhang, Jin Wang, Baodi Liu, Dapeng Tao

IEEE Transactions on Image Processing

DOI

2025

GSF-GAN: A Global-Aware Selective Fusion Generative Adversarial Network for Multitemporal Cloud Removal

Shengjie Wang, Haoran Zhou, Aozhe Dou, Weifeng Liu, Baodi Liu

IEEE Geoscience and Remote Sensing Letters

DOI

2025

Target data guided few-shot remote sensing scene classification in reproducing Hilbert kernel space

Chunyu Du, Baodi Liu, Yanjiang Wang

Multimedia Systems

DOI

2025

Excluding the Impossible for Open Vocabulary Semantic Segmentation

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

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2025

A spatial–spectral fusion convolutional transformer network with contextual multi-head self-attention for hyperspectral image classification

Wuli Wang, Qi Sun, Li Zhang, Peng Ren, Jianbu Wang, Guangbo Ren, Baodi Liu

Neural Networks

DOI

2024

Seismic random noise suppression via mining multi-scale local and global information

Jun Wang, Shuai Wang, Baodi Liu

Journal of Applied Geophysics

DOI

2024

Multi‐View Self‐Supervised Auxiliary Task for Few‐Shot Remote Sensing Classification

Baodi Liu, Lei Xing, Xujian Qiao, Qian Liu

International Conference on Climate Informatics

DOI

2024

IW-ViT: Independence-Driven Weighting Vision Transformer for out-of-distribution generalization

Weifeng Liu, Haoran Yu, Yingjie Wang, Baodi Liu, Dapeng Tao, Honglong Chen

Pattern Recognition

DOI

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 Geoscience and Remote Sensing Letters

DOI

2024

MSC-GAN: A Multistream Complementary Generative Adversarial Network With Grouping Learning for Multitemporal Cloud Removal

Haoran Zhou, Yanjiang Wang, Weifeng Liu, Dapeng Tao, Wei Ma, Baodi Liu

IEEE Transactions on Geoscience and Remote Sensing

DOI

2024

Multi-scale region selection network in deep features for full-field mammogram classification

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

Medical Image Analysis

DOI

2024

Discriminative Representation-Based Classifier for Few-Shot Remote Sensing Classification

Tianhao Yuan, Weifeng Liu, Yingjie Wang, Baodi Liu

Lecture notes in computer science

DOI

2024

Feature aggregation and connectivity for object re-identification

Dongchen Han, Baodi Liu, Shuai Shao, Weifeng Liu, Yicong Zhou

Pattern Recognition

DOI

2024

Deep Location Soft-Embedding-Based Network With Regional Scoring for Mammogram Classification

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

IEEE Transactions on Medical Imaging

DOI

2024

Central Attention with Multi-Graphs for Image Annotation

Baodi Liu, Yan Liu, Qianqian Shao, Weifeng Liu

Neural Processing Letters

DOI

2024

Feedback-Irrelevant Mapping: An evaluation method for decoupled few-shot classification

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

Engineering Applications of Artificial Intelligence

DOI

2024

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

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

Neural Processing Letters

DOI

2024

Ensembling Multi-View Discriminative Semantic Feature for Few-Shot Classification

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

Engineering Applications of Artificial Intelligence

DOI

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 Transactions on Geoscience and Remote Sensing

DOI

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 Geoscience and Remote Sensing Letters

DOI

2024

Spectral Channel-Weighting CAT for Hyperspectral Image Classification

Yujuan Qi, Yuxuan Guo, Baodi Liu, Yanjiang Wang

Lecture notes in computer science

DOI

2024

Remote sensing image cloud removal based on multi-scale spatial information perception

Aozhe Dou, Hao Yang, Weifeng Liu, Liangliang Li, Zhenzhong Wang, Baodi Liu

Multimedia Systems

DOI

2024

DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning

Shuai Shao, Yu Bai, Yan Wang, Baodi Liu, Yicong Zhou

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2024

Few-shot image classification via hybrid representation

Baodi Liu, Shuai Shao, Chunyan Zhao, Lei Xing, Weifeng Liu, Weijia Cao, Yicong Zhou

Pattern Recognition

DOI

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

Multimedia Systems

DOI

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 AAAI Conference on Artificial Intelligence

DOI

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 Transactions on Geoscience and Remote Sensing

DOI

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 Transactions on Geoscience and Remote Sensing

DOI

2024

Toward Cross-Domain Class-Incremental Remote Sensing Scene Classification

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

IEEE Transactions on Geoscience and Remote Sensing

DOI

2023

A Stable Vision Transformer for Out-of-Distribution Generalization

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

Lecture notes in computer science

DOI

2023

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

Baodi Liu, Lifei Zhao, Weifeng Liu, Ye Li

IEEE Geoscience and Remote Sensing Letters

DOI

2023

Non-local Graph Convolutional Network

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

Circuits Systems and Signal Processing

DOI

2023

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

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

Lecture notes in computer science

DOI

2023

Foggy Person Re-Identification based on Adaptive Recognition of Fog Attributes

Mengjiao Li, Dongchen Han, Weifeng Liu, Baodi Liu

China Automation Congress (CAC)

DOI

2023

MIMRD: An Enhanced Masked Image Modeling Reverse Distillation for Anomaly Detection

Zhihao Chen, Weifeng Liu, Baodi Liu

International Conference on New Trends in Computational Intelligence (NTCI)

DOI

2023

Multi-scale fusion for few-shot remote sensing image classification

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

International Journal of Remote Sensing

DOI

2023

Multi-scale feature fusion kernel estimation with masked interpolation loss for real-world remote sensing images super-resolution

Xiaobin Wang, Wenzong Jiang, Lei Xing, Shuai Shao, Weifeng Liu, Yanjiang Wang, Weijia Cao, Baodi Liu, Yicong Zhou

International Journal of Remote Sensing

DOI

2023

Self-Compensating Learning for Few-Shot Segmentation

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

Proceedings - International Conference on Image Processing

DOI

2023

Decision fusion for few-shot image classification

Tianhao Yuan, Weifeng Liu, Fei Yan, Baodi Liu

International Journal of Multimedia Information Retrieval

DOI

2023

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

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

Neural Processing Letters

DOI

2023

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

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

Pattern Recognition

DOI

2023

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

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

IEEE Transactions on Circuits and Systems for Video Technology

DOI

2023

CSN: Component supervised network for few-shot classification

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

Engineering Applications of Artificial Intelligence

DOI

2023

Feature Fusion Based Parallel Graph Convolutional Neural Network for Image Annotation

Mengke Wang, Yan Liu, Weifeng Liu, Baodi Liu

Neural Processing Letters

DOI

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 Transactions on Geoscience and Remote Sensing

DOI

2023

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

Hao Yang, Wenzong Jiang, Weifeng Liu, Ye Li, Baodi Liu

IEEE Geoscience and Remote Sensing Letters

DOI

2023

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

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

IEEE Transactions on Geoscience and Remote Sensing

DOI

2023

Deformable Convolutional Network Constrained by Contrastive Learning for Underwater Image Enhancement

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

IEEE Geoscience and Remote Sensing Letters

DOI

2023

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

Tianhao Yuan, Weifeng Liu, Baodi Liu

IEEE Geoscience and Remote Sensing Letters

DOI

2023

Image Super-Resolution Based on Adaptive Feature Fusion Channel Attention

Qizhang Song, Baodi Liu, Weifeng Liu

Lecture notes in computer science

DOI

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

Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics

DOI

2023

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 Recognition

DOI

2023

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 and Video Processing

DOI

2023

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

Shilei Yan, Yujuan Qi, Mengxue Liu, Yanjiang Wang, Baodi Liu

Computer Vision and Image Understanding

DOI

2023

Dynamic Feature Attention Network for Remote Sensing Image Dehazing

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

Neural Processing Letters

DOI

2023

Subspace prototype learning for few-Shot remote sensing scene classification

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

Signal Processing

DOI

2023

Dictionary Learning for Few-Shot Remote Sensing Scene Classification

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

Remote Sensing

DOI

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 Transactions on Geoscience and Remote Sensing

DOI

2023

Virtual Try-on via Matching Relation with Landmark

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

Lecture notes in computer science

DOI

2023

Attribute Space Analysis for Image Editing

Yiping Chen, Shuqi Yang, Baodi Liu, Weifeng Liu

Lecture notes in computer science

DOI

2022

基于XGBoost的测井解释规则库自动获取方法

邢强，张晋言，王镇方，马睿，姜文宗，刘宝弟，王延江

《石油物探》

2022

基于注意力约束深度生成网络的测井电成像空白条带填充

杜春雨，邢强，张晋言，王珺，刘宝弟，王延江

《地球物理学进展》

2022

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

Dongchen Han, Weifeng Liu, Mingchen Zou, Baodi Liu

IEEE Transactions on Circuits and Systems for Video Technology

DOI

2022

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

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

IEEE Transactions on Circuits and Systems for Video Technology

DOI

2022

Improved Vit via knowledge distallation on small datasets

Jun Wang, Weifeng Liu, Weishan Zhang, Baodi Liu

International Conference on Signal Processing

DOI

2022

Brain-inspired Hierarchical Attention Recurrent CNN for Image Classification

Xinjing Song, Yanjiang Wang, Baodi Liu, Weifeng Liu

International Conference on Signal Processing

DOI

2022

Generalized Zero-Shot Learning Based on Manifold Alignment

Rui Xu, Shuai Shao, Baodi Liu, Weifeng Liu

International Conference on Signal Processing

DOI

2022

Lightweight of Supervised Person Re-identification via Knowledge Distillation

Xiaobin Wang, Jun Wang, Weifeng Liu, Baodi Liu

International Conference on Signal Processing

DOI

2022

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

Anxun Han, Lei Xing, Weifeng Liu, Baodi Liu

Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics

DOI

2022

EMAS: Efficient Meta Architecture Search for Few-Shot Learning

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

Proceedings - International Conference on Tools with Artificial Intelligence, TAI

DOI

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

Information Sciences

DOI

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 Transactions on Circuits and Systems for Video Technology

DOI

2022

Object re-identification with distribution corrected ranking list

Dongchen Han, Shuai Shao, Weifeng Liu, Baodi Liu

Neurocomputing

DOI

2022

Shared Dictionary Learning Via Coupled Adaptations for Cross-Domain Classification

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

Neural Processing Letters

DOI

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

DOI

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

Knowledge-Based Systems

DOI

2022

Enrich Features for Few-Shot Point Cloud Classification

Hengxin Feng, Weifeng Liu, Yanjiang Wang, Baodi Liu

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2022

Co-Learning for Few-Shot Learning

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

Neural Processing Letters

DOI

2022

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

Lei Xing, Shuai Shao, Weifeng Liu, Anxun Han, Xiangshuai Pan, Baodi Liu

Neurocomputing

DOI

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 Processing

DOI

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 Geoscience and Remote Sensing Letters

DOI

2022

Interference Distillation for Underwater Fish Recognition

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

Lecture notes in computer science

DOI

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 Geoscience and Remote Sensing Letters

DOI

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 Geoscience and Remote Sensing Letters

DOI

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 Geoscience and Remote Sensing Letters

DOI

2022

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

Lei Wei, Lei Xing, Lifei Zhao, Baodi Liu

IEEE Geoscience and Remote Sensing Letters

DOI

2022

LV-YOLOv5: A light-weight object detector of Vit on Drone-captured Scenarios

Jun Wang, Weifeng Liu, Weishan Zhang, Baodi Liu

International Conference on Signal Processing

DOI

2022

Feature Re-Attention and Multi-Layer Feature Fusion for Fine-Grained Visual Classification

Kun Wang, Qingze Tian, Yanjiang Wang, Baodi Liu

International Conference on Signal Processing

DOI

2022

CCASinGAN: Cascaded Channel Attention Guided Single-Image GANs

Xueqin Wang, Wenzong Jiang, Lifei Zhao, Baodi Liu, Yanjiang Wang

International Conference on Signal Processing

DOI

2022

Object tracking based on siamese network with multiple graph attentions

Shilei Yan, Yujuan Qi, Yanjiang Wang, Baodi Liu

International Conference on Signal Processing

DOI

2022

Affine Non-negative Representation for Few-Shot Remote Sensing Scene Classification

Chunyu Du, Baodi Liu, Yanjiang Wang

International Conference on Signal Processing

DOI

2022

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

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

Proceedings - International Conference on Image Processing

DOI

2022

Multi-task Facial Expression Recognition With Joint Gender Learning

Xiangshuai Pan, Qingtao Xie, Weifeng Liu, Baodi Liu

Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics

DOI

2022

Multi-relational Semantic Distillation for Few-Shot Object Detection

Qingtao Xie, Xiangshuai Pan, Weifeng Liu, Baodi Liu

Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics

DOI

2022

Multi-scale feature learning network with channel self-attention for remote sensing single-image super-resolution

Xueqin Wang, Wenzong Jiang, Lifei Zhao, Baodi Liu, Yanjiang Wang

International Journal of Remote Sensing

DOI

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 Transactions on Medical Imaging

DOI

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 Sensing

DOI

2022

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

Jiayan Wang, Xueqin Wang, Lei Xing, Baodi Liu, Zongmin Li

Remote Sensing

DOI

2022

Agcyclegan: Attention-Guided Cyclegan for Single Underwater Image Restoration

Zhenlong Wang, Weifeng Liu, Yanjiang Wang, Baodi Liu

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2022

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

Wenhui Guo, Guixun Xu, Baodi Liu, Yanjiang Wang

IEEE Geoscience and Remote Sensing Letters

DOI

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 Geoscience and Remote Sensing Letters

DOI

2022

Semi-Supervised Few-shot Image Classification Based on Subspace Learning

Jiayan Wang, Zongmin Li, Xujian Qiao, Baodi Liu, Yu Dan Zhao

Journal of Physics Conference Series

DOI

2022

Superposed Linear Representation in Reproducing Kernel Hilbert Space for Image Classification

Jie Meng, BaoDi Liu, Libo Yao, Tiantian Wang

International Conference on Signal Processing

DOI

2021

DLDL: Dynamic label dictionary learning via hypergraph regularization

Shuai Shao, Rui Xu, Zhenfang Wang, Weifeng Liu, Yanjiang Wang, Baodi Liu

Neurocomputing

DOI

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 Sensing

DOI

2021

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

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

IEEE Transactions on Circuits and Systems for Video Technology

DOI

2021

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

Wenzong Jiang, Lifei Zhao, Yanjiang Wang, Weifeng Liu, Baodi Liu

IEEE Geoscience and Remote Sensing Letters

DOI

2021

Adaptive Eigenmodes for Robust Object Tracking

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

Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics

DOI

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 Computer Vision

DOI

2021

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

Wenzong Jiang, Lifei Zhao, Yanjiang Wang, Weifeng Liu, Baodi Liu

Remote Sensing

DOI

2021

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

Xuefei Li, Baodi Liu, Kai Zhang, Weifeng Liu

IEEE Geoscience and Remote Sensing Letters

DOI

2021

Collaborative Representation for Deep Meta Metric Learning

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

International Conference on Multimedia Retrieval

DOI

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 - International Conference on Image Processing

DOI

2021

Affine Non-Negative Collaborative Representation for Deep Metric Learning

Min Zhu, Baodi Liu, Weifeng Liu, Kai Zhang, Ye Li, Xiaoping Lu

Proceedings - International Conference on Image Processing

DOI

2021

Enhanced Full-Resolution Residual Network for Image Super-Resolution

Jiaoyue Li, Lifei Zhao, Qianqian Shao, Weifeng Liu, Kai Zhang, Baodi Liu

Chinese Control Conference (CCC)

DOI

2021

Learn from Object Counting: Crowd Counting with Meta‐learning

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

IET Image Processing

DOI

2021

Local structure alignment guided domain adaptation with few source samples

Yuying Cai, Jinfeng Li, Baodi Liu, Weifeng Liu, Kai Zhang, Changsheng Xu

ACM International Conference on Multimedia in Asia (MMAsia)

DOI

2021

Leveraging GANs via Non-local Features

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

Lecture notes in computer science

DOI

2021

Lithology Identification using Well Logging Images Based on Improved Inception Network

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

IEEE Symposium Series on Computational Intelligence (SSCI)

DOI

2021

MHFC

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

ACM International Conference on Multimedia (ACM MM)

DOI

2021

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

Dalei Chen, Baodi Liu

Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics

DOI

2021

Adaptive Multi-Feature Fusion for Robust Object Tracking

Mengxue Liu, Yujuan Qi, Yanjiang Wang, Baodi Liu

Proceedings - International Conference on Image Processing

DOI

2021

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

Zhenfang Wang, Yanjiang Wang, Shuai Shao, Baodi Liu

Proceedings - International Conference on Image Processing

DOI

2021

SSDL: Self-Supervised Dictionary Learning

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

IEEE International Conference on Multimedia and Expo (ICME)

DOI

2020

Unified Cross-domain Classification via Geometric and Statistical Adaptations

Weifeng Liu, Jinfeng Li, Baodi Liu, Weili Guan, Yicong Zhou, Changsheng Xu

Pattern Recognition

DOI

2020

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

Yanjiang Wang, Shuai Shao, Rui Xu, Weifeng Liu, Baodi Liu

Signal Processing

DOI

2020

Probabilistic Memory Model for Visual Images Categorization

Linxia Xiao, Yanjiang Wang, Baodi Liu, Weifeng Liu

Computing and Informatics

DOI

2020

ESinGAN: Enhanced Single-Image GAN Using Pixel Attention Mechanism for Image Super-Resolution

Wenyue Sun, Baodi Liu

International Conference on Signal Processing

DOI

2020

Inpainting Electrical Logging Images Based on Deep CNN with Attention Mechanisms

Chunyu Du, Qiang Xing, Jinyan Zhang, Jun Wang, Baodi Liu, Yanjiang Wang

IEEE Symposium Series on Computational Intelligence (SSCI)

DOI

2020

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

Li Wang, Yanjiang Wang, Yaqian Zhao, Baodi Liu

IEEE Geoscience and Remote Sensing Letters

DOI

2020

Class-Specific Sparse Principal Component Analysis for Visual Classification

Fei Pan, Zai-Xu Zhang, Baodi Liu, Ji-Jun Xie

IEEE Access

DOI

2019

基于卷积神经网络的梵高作品风格转换

赵丽飞，余航，谢清涛，王新宇，刘宝弟

《电子技术与软件工程》

2019

Label embedded dictionary learning for image classification

Shuai Shao, Rui Xu, Weifeng Liu, Baodi Liu, Yanjiang Wang

Neurocomputing

DOI

2019

Laplacian Eigenmaps Regularized Feature Mapping for Image Annotation

Qianqian Shao, Baodi Liu

Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics

DOI

2019

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

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

Remote Sensing

DOI

2019

Sparse Representation and Collaborative Representation? Both Help Image Classification

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

IEEE Access

DOI

2018

基于Hessian正则化支持向量机的多视角协同识别抽油机井工况方法

周斌，王延江，刘伟锋，刘宝弟

《石油学报》

2018

基于Hessian正则化多视角学习的抽油机井工况识别新方法

周斌，王延江，刘伟锋，刘宝弟

《中国石油大学学报(自然科学版)》

2018

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

Limiao Deng, Yanjiang Wang, Baodi Liu, Weifeng Liu, Yujuan Qi

Machine Vision and Applications

DOI

2018

Hybrid Collaborative Representation for Remote-Sensing Image Scene Classification

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

Remote Sensing

DOI

2018

Laplace Graph Embedding Class Specific Dictionary Learning for Face Recognition

Li Wang, Yanjiang Wang, Baodi Liu

Journal of Electrical and Computer Engineering

DOI

2018

Probabilistic Collaborative Representation with Kernels for Visual Classification

Jie Meng, Yanjiang Wang, Baodi Liu

Communications in computer and information science

DOI

2018

Elastic Net Regularized Dictionary Learning for Face Recognition

Li Wang, Yanjiang Wang, Baodi Liu

Communications in computer and information science

DOI

2017

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

Xue Li, Bin Shen, Baodi Liu, Yu‐Jin Zhang

IEEE Transactions on Multimedia

DOI

2016

基于快速字典学习和特征稀有性的显著目标提取

李蕙，王延江，刘宝弟，刘伟锋，王肖萌

《吉林大学学报(工学版)》

2016

Face clustering based on graph embedded semi-NMF with Kernels

Jia Liu, He Zhang, Baodi Liu, Yanjiang Wang

International Conference on Signal Processing

DOI

2016

Multiple kernel collaborative representation based classification

Ru Li, Qian Zhang, Zhiming Gao, Baodi Liu, Yanjiang Wang

International Conference on Signal Processing

DOI

2016

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

Xiaojie Feng, Yanjiang Wang, Baodi Liu

International Conference on Signal Processing

DOI

2016

Kernel class specific centralized dictionary learning for face recognition

Zhiming Gao, Qian Zhang, Ru Li, Baodi Liu, Yanjiang Wang

International Conference on Signal Processing

DOI

2016

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

Xiaojie Feng, Yanjiang Wang, Baodi Liu, Weifeng Liu

Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics

DOI

2016

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

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

Neurocomputing

DOI

2016

A Locality Sensitive Low-Rank Model for Image Tag Completion

Xue Li, Bin Shen, Baodi Liu, Yujin Zhang

IEEE Transactions on Multimedia

DOI

2015

Class specific centralized dictionary learning for face recognition

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

Multimedia Tools and Applications

DOI

2015

Blockwise coordinate descent schemes for efficient and effective dictionary learning

Baodi Liu, Yu-Xiong Wang, Yu-Xiong Wang, Bin Shen, Xue Li, Yu‐Jin Zhang, Yanjiang Wang, Yanjiang Wang

Neurocomputing

DOI

2015

Low-rank image tag completion with dual reconstruction structure preserved

Xue Li, Yu‐Jin Zhang, Bin Shen, Baodi Liu

Neurocomputing

DOI

2015

Locality sensitive dictionary learning for image classification

Baodi Liu, Bin Shen, Xue Li

Proceedings - International Conference on Image Processing

DOI

2015

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

Bin Shen, Baodi Liu, Qifan Wang, Yi Fang, Jan P. Allebach

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2015

A Locality Preserving Approach for Kernel PCA

Yin Zheng, Bin Shen, Xiaofeng Yang, Wanli Ma, Baodi Liu, Yu‐Jin Zhang

Lecture notes in computer science

DOI

2014

Class specific subspace learning for collaborative representation

Baodi Liu, Bin Shen, Yu-Xiong Wang, Weifeng Liu, Yanjiang Wang

Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics

DOI

2014

Elastic net regularized dictionary learning for image classification

Bin Shen, Baodi Liu, Qifan Wang

Multimedia Tools and Applications

DOI

2014

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

Xue Li, Yujin Zhang, Bin Shen, Baodi Liu

Proceedings - International Conference on Image Processing

DOI

2014

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

Bin Shen, Baodi Liu, Qifan Wang, Rongrong Ji

Proceedings - International Conference on Image Processing

DOI

2014

Class specific dictionary learning for face recognition

Baodi Liu, Bin Shen, Yu-Xiong Wang

DOI

2014

Kernel collaborative representation for face recognition

Jia Zhao, Yanjiang Wang, Baodi Liu

DOI

2014

TISVM: Large margin classifier for misaligned image classification

Bin Shen, Baodi Liu, Jan P. Allebach

Proceedings - International Conference on Image Processing

DOI

2014

Blockwise coordinate descent schemes for sparse representation

Baodi Liu, Yu-Xiong Wang, Bin Shen, Yu‐Jin Zhang, Yanjiang Wang

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2014

Self-explanatory Sparse Representation for Image Classification

Baodi Liu, Yu-Xiong Wang, Bin Shen, Yu‐Jin Zhang, Martial Hebert

Lecture notes in computer science

DOI

2013

Self-Explanatory Convex Sparse Representation for Image Classification

Baodi Liu, Yu-Xiong Wang, Bin Shen, Yujin Zhang, Yanjiang Wang, Weifeng Liu

Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics

DOI

2012

图像分类中多流形上的词典学习

刘宝弟，王宇雄，章毓晋

《清华大学学报(自然科学版)》

DOI

2007

基于均值漂移算法的人脸自适应跟踪

刘宝弟，王延江，马海，王武礼

《中国石油大学学报(自然科学版)》

精选作品

期刊论文

Multiplex graph prompt collaboration for open-set social event detection

Adaptive Decision Boundary Learning with Class-Balanced Pseudo-Labelling for Open-Set Semi-Supervised Hyperspectral Image Classification

Uncertainty-aware adaptive feature completion networks for incomplete multi-view learning

Key Feature Dynamic Enhancement Network for Breast Cancer Pathological Image Classification

Multi-scale feature fusion and reweighting based domain generalization for mammogram classification

Channel-guided dual-pooling multi-scale spatial attention network for mass segmentation in whole mammograms

Diagnosis-driven hard sample generation: low-frequency attenuation supervised contrastive learning for mammogram classification

Local Attention and Detail-enhanced Network for Mass Segmentation in Whole Mammograms

Causal-guided strength differential independence sample weighting for out-of-distribution generalization

CO3+: Improved Collaborative Consortium of Foundation Models for Open-World Few-Shot Learning

Excluding the Interference for Open-Vocabulary Semantic Segmentation

AFAD-Net: scene-adaptive diffusion model with Frequency-spatial logic for Remote Sensing Image Super-Resolution

Dual graph network for few-shot 3D point cloud classification

Evolving classifiers with background suppression transformer for open-set long-tailed class-incremental remote sensing scene classification

Underwater image enhancement via dual-domain experts with hybrid-masked contrastive learning

Cross-difference-driven dual-stream contrast multi-view network for mammogram classification

Dynamic frequency-band filtering domain generalization for mammogram classification

Leveraging a Cross-Supervision SAM for Weakly-Supervised Camouflaged Object Detection

High-Confidence Pseudolabeling-Enhanced Multiorder Dynamic Sparse Graph Aggregation Network for Semi-Supervised Hyperspectral Change Detection

基于深度学习的数字图像处理实验平台开发

基于LDF-YOLO的小目标检测方法

DCUGAN: Dual Contrastive Learning GAN for Unsupervised Underwater Image Enhancement

Seismic trace interpolation via score-based diffusion model with wavelet convolution

Dual-domain mamba for seismic random noise suppression

Fourier aids CNN and transformer for semantic segmentation of remote sensing images

FSDMB: few-shot object detection via double matching branch

Enhanced Edge Feature Learning Network for Mammogram Classification

Convolutional Shared Dictionary Module for Few-shot Learning

Domain Generalization for Mammogram Classification by Suppressing Domain-Specific Features

Early Stroke Cerebral Neural Network Analysis with Functional Near-Infrared Spectroscopy*

Context-aware feature complementary screening network for mass segmentation in whole mammograms

WMANet:Weighted multiple adaptive feature attention for self-supervised single remote-sensing image denoising

ECTL: Auxiliary Temporal Modeling Module for Video Action Recognition

Joint subgraph independence for graph out-of-distribution generalization

Unbiased Semantic Decoding With Vision Foundation Models for Few-Shot Segmentation

DVINet: Differentiated Variable Independence Network for Out-of-Distribution Generalization

Lesion Asymmetry Screening Assisted Global Awareness Multi-View Network for Mammogram Classification

Noise-Robust Few-Shot Classification via Variational Adversarial Data Augmentation

See Degraded Objects: A Physics-Guided Approach for Object Detection in Adverse Environments

GSF-GAN: A Global-Aware Selective Fusion Generative Adversarial Network for Multitemporal Cloud Removal

Target data guided few-shot remote sensing scene classification in reproducing Hilbert kernel space

Excluding the Impossible for Open Vocabulary Semantic Segmentation

A spatial–spectral fusion convolutional transformer network with contextual multi-head self-attention for hyperspectral image classification

Seismic random noise suppression via mining multi-scale local and global information

Multi‐View Self‐Supervised Auxiliary Task for Few‐Shot Remote Sensing Classification

IW-ViT: Independence-Driven Weighting Vision Transformer for out-of-distribution generalization

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

MSC-GAN: A Multistream Complementary Generative Adversarial Network With Grouping Learning for Multitemporal Cloud Removal

Multi-scale region selection network in deep features for full-field mammogram classification

Discriminative Representation-Based Classifier for Few-Shot Remote Sensing Classification

Feature aggregation and connectivity for object re-identification

Deep Location Soft-Embedding-Based Network With Regional Scoring for Mammogram Classification

Central Attention with Multi-Graphs for Image Annotation

Feedback-Irrelevant Mapping: An evaluation method for decoupled few-shot classification

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

Ensembling Multi-View Discriminative Semantic Feature for Few-Shot Classification

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

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

Spectral Channel-Weighting CAT for Hyperspectral Image Classification

Remote sensing image cloud removal based on multi-scale spatial information perception

DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning

Few-shot image classification via hybrid representation

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

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

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

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

Toward Cross-Domain Class-Incremental Remote Sensing Scene Classification

A Stable Vision Transformer for Out-of-Distribution Generalization

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

Non-local Graph Convolutional Network

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

Foggy Person Re-Identification based on Adaptive Recognition of Fog Attributes

MIMRD: An Enhanced Masked Image Modeling Reverse Distillation for Anomaly Detection

Multi-scale fusion for few-shot remote sensing image classification

Multi-scale feature fusion kernel estimation with masked interpolation loss for real-world remote sensing images super-resolution

Self-Compensating Learning for Few-Shot Segmentation

Decision fusion for few-shot image classification

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