Area of research
Computer Vision and Pattern Recognition · Media Technology
Research interest
Research interests include Image Enhancement Techniques, Advanced Image Fusion Techniques, Advanced Neural Network Applications, and Image and Signal Denoising Methods.
Accelerating Adaptive Diffusion and Uncertainty Modeling for Underwater Image Enhancement
Single-Domain Generalization: A Scattering Characteristic-Driven Cross-Attention Model for Oriented SAR Object Detection
Scattering-Clutter Disentangled Prototypes for SAR Open-Set Recognition
WaterLUT: A Lightweight and Generalizable Framework for Real-Time Underwater Image Enhancement
Dual-Transformer Feature Enhancement for Infrared Small-Dim Target Detection
Robust Object Detection via Source-Free Domain Adaptation in SAR Data
SRCD: Semantic Reasoning With Compound Domains for Single-Domain Generalized Object Detection
Incidence and Risk Factors of Diagnosed Young-Adult-Onset Type 2 Diabetes in the U.S.: The National Health Interview Survey 2016–2022
Lightweight SAR Ship Detection via Pearson Correlation and Nonlocal Distillation
Filling and Disentanglement: Toward Low- and High-Order Parallel Single-Domain Generalization for SAR Ship Detection
Domain Adaptive Oriented Object Detection From Optical to SAR Images
Learning Diffusion High-Quality Priors for Pan-Sharpening: A Two-Stage Approach With Time-Aware Adapter Fine-Tuning
Sustainable utilization of red mud and bauxite tailings: mechanical and environmental perspectives in cemented backfill
Study on the heavy metal immobilization mechanism in the alkali-activated red mud-ground granulated blast furnace slag-based geopolymer
Toward Generalizable Pansharpening: Conditional Flow-Based Learning Guided by Implicit High-Frequency Priors
CE$^{3}$USOD: Channel-Enhanced, Efficient, and Effective Network for Underwater Salient Object Detection
Random Response-Based SAR Purification Defense
PORSCHE: Progressive Optimization and Robust Spatial Convolution for Hybrid Enhancement in Visible-Infrared Vehicle Re-Identification
A Contrastive Uncertainty Modeling for Radar HRRP Domain Generalization Target Recognition
Vision-Language Model Priors-Driven State Space Model for Infrared-Visible Image Fusion
MASNet: A Robust Deep Marine Animal Segmentation Network
Diffusion-Based Continuous Feature Representation for Infrared Small-Dim Target Detection
Cross-Modality Interaction Network for Pan-Sharpening
<i>
P
<sup>2</sup>
SAM:
</i>
Probabilistically Prompted SAMs Are Efficient Segmentator for Ambiguous Medical Images
AFSC: Adaptive Fourier Space Compression for Anomaly Detection
SimCLIP: Refining Image-Text Alignment with Simple Prompts for Zero-/Few-shot Anomaly Detection
Generalizable Prompts Guided by Image-Redundant Separation for Vehicle Re-identification
Efficient Perceiving Local Details via Adaptive Spatial-Frequency Information Integration for Multi-focus Image Fusion
Efficient Training Acceleration via Sample-Wise Dynamic Probabilistic Pruning
Leveraging Foreground Collaboration and Augmentation for Industrial Anomaly Detection