Area of research
Computer Vision and Pattern Recognition · Media Technology
Research interest
Research interests include Computer science, Artificial intelligence, Convolutional neural network, Segmentation, Transformer, and Pattern recognition (psychology).
MED-Net: Leveraging multi-visual encoding and Manhattan-distance pooling for robust medical image segmentation
Assisted refinement network based on channel information interaction for camouflaged object detection
IPPKD: An Iterative Pruning Method with Prompt Knowledge Distillation
Language-Guided Adaptive Spatial–Frequency-Aware Network for Remote Sensing Change Detection
Dynamic scheduling for multi-objective flexible job shop via deep reinforcement learning
Conv-SdMLPMixer: A hybrid medical image classification network based on multi-branch CNN and multi-scale multi-dimensional MLP
Lite-MixedNet: Lightweight and efficient hybrid network for medical image segmentation
Embedded Separate Deep Localization Feature Information Vision Transformer for Hash Image Retrieval
Convolution-based Visual Transformer with Dual Space Shifting Attention hashing for image retrieval
MLK-Net: Leveraging multi-scale and large kernel convolutions for robust skin lesion segmentation
S-YOLO: An enhanced small object detection method based on adaptive gating strategy and dynamic multi-scale focus module
Frequency Decoupling Enhancement and Mamba Depth Extraction-Based Feature Fusion in Transformer Hashing Image Retrieval
Remote Sensing Image Change Detection Based on Lightweight Transformer and Multiscale Feature Fusion
FSDENet: A Frequency and Spatial Domains-Based Detail Enhancement Network for Remote Sensing Semantic Segmentation
A Cross-Fusion Network for Salient Object Detection in Optical Remote Sensing Images
BlurPaint: Image Inpainting using Blurring Diffusion Models
Deep hashing image retrieval based on CNN and visual transformer network
Block-Level Index Mixing and Classification Enhancement Attention for occluded person re-identification
WaveGuard: Robust Deepfake Detection and Source Tracing via Dual-Tree Complex Wavelet and Graph Neural Networks
MLDFNet: A Multilabel Dual-Flow Network for Change Detection in Bitemporal Remote Sensing Images
Label-guided diversified learning model for occluded person re-identification
HyperSMamba: A Lightweight Mamba for Efficient Hyperspectral Image Classification
Multichannel Aligned Feature Fusion Method for Salient Object Detection in Optical Remote Sensing Images
Modality-Invariant Bidirectional Temporal Representation Distillation Network for Missing Multimodal Sentiment Analysis
AI-Enabled Multimedia Semantic Communications
Multi-angle feature enhancement for multi-defect category insulator defect detection in the wild
ADCNet: adaptive dual-domain collaborative network for remote sensing change detection
Direction-aware Attention and Semantic Guidance Network for Salient Object Detection in Optical Remote Sensing Images
xLSTM Interaction Multilevel SSM-Assisted Decoding Network for Remote Sensing Image Change Detection
Magnitude-Phase Dual-Path Speech Enhancement Network based on Self-Supervised Embedding and Perceptual Contrast Stretch Boosting