Guoheng Huang

Latest

PFPS: Polymerized Feature Panoptic Segmentation Based on Fully Convolutional Networks
TCIA: A Transformer-CNN Model With Illumination Adaptation for Enhancing Cell Image Saliency and Contrast
The Structure-sharing Hypergraph Reasoning Attention Module for CNNs
Visual-linguistic Diagnostic Semantic Enhancement for medical report generation
A Two-Phase Scheme by Integration of Deep and Corner Feature for Balanced Copy-Move Forgery Localization
Black-Box Reversible Adversarial Examples with Invertible Neural Network
Encryption-Then-Embedding-Based Hybrid Data Hiding Scheme for Medical Images
F3Net: Feature Filtering Fusing Network for Change Detection of Remote Sensing Images
HEDN: Multi-Oriented Hierarchical Extraction and Dual-Frequency Decoupling Network for 3D Medical Image Segmentation
Image Manipulation Localization Using Dual-Shallow Feature Pyramid Fusion and Boundary Contextual Incoherence Enhancement
Large kernel convolution application for land cover change detection of remote sensing images
OFGST-Swin: Swin Transformer Utilizing Overlap Fusion-Based Generalized S-Transform for Respiratory Cycle Classification
Progressive normalizing flow with learnable spectrum transform for style transfer
Psanet: Prototype-Guided Salient Attention for Few-Shot Segmentation
RM-UNet: UNet-like Mamba with Rotational SSM Module for Medical Image Segmentation
Triangular Chain Closed-Loop Detection Network for Dense Pedestrian Detection
Weakly supervised semantic segmentation via saliency perception with uncertainty-guided noise suppression
A novel geometrically invariant quantum watermarking scheme utilizing Quantum Error Correction
QGD-Net: A Lightweight Model Utilizing Pixels of Affinity in Feature Layer for Dermoscopic Lesion Segmentation
QMLS: quaternion mutual learning strategy for multi-modal brain tumor segmentation
C3MW is published in Journal of King Saud University Computer and Information Sciences [JCR Q1]
C3MW: A Novel Comprehensive-Monitoring-Motivated Multi-model Watermarking Scheme for Tamper Detection and Self-recovery
CAMU is published in Expert Systems with Applications [JCR Q1]
FRRW: A feature extraction-based robust and reversible watermarking scheme utilizing zernike moments and histogram shifting
Tampering localization and self-recovery using block labeling and adaptive significance
One paper is accepted in ICANN 2023
RA-Net is accepted in ICANN 2023
SCDet: decoupling discriminative representation for dark object detection via supervised contrastive learning
IDA-Net: Inheritable Deformable Attention Network of structural MRI for Alzheimer’s Disease Diagnosis
Improving breast tumor segmentation via shape-wise prior-guided information on cone-beam breast CT images
SPA-NET is published in Sensors [JCR Q2]
Quaternion-Valued Correlation Learning for Few-Shot Semantic Segmentation
Weakly supervised semantic segmentation of histological tissue via attention accumulation and pixel-level contrast learning
GDN-CMCF: A Gated Disentangled Network With Cross-Modality Consensus Fusion for Multimodal Named Entity Recognition
Learning from Incorrectness: Active Learning with Negative Pre-training and Curriculum Querying for Histological Tissue Classification
MV-CDN: Multi-Visual Collaborative Deep Network for Change Detection of Double-Temporal Hyperspectral Images
Point Cloud Plane Segmentation-Based Robust Image Matching for Camera Pose Estimation
Quaternion attention multi-scale widening network for endoscopy image super-resolution
Quaternion Cross-modality Spatial Learning for Multi-modal Medical Image Segmentation
RBA-GCN: Relational Bilevel Aggregation Graph Convolutional Network for Emotion Recognition
SPA-Net: A Deep Learning Approach Enhanced Using a Span-Partial Structure and Attention Mechanism for Image Copy-Move Forgery Detection
Collaborative multi-feature extraction and scale-aware semantic information mining for medical image segmentation
CD-SDN: Unsupervised Sensitivity Disparity Networks for Hyper-Spectral Image Change Detection