Jiayi Ma

42

Papers

178

Total Citations

Papers (42)

Text-IF: Leveraging Semantic Text Guidance for Degradation-Aware and Interactive Image Fusion

Dispel Darkness for Better Fusion: A Controllable Visual Enhancer based on Cross-modal Conditional Adversarial Learning

Non-parametric Representation Learning with Kernels

SDGMNet: Statistic-Based Dynamic Gradient Modulation for Local Descriptor Learning

Cross-Modal Stealth: A Coarse-to-Fine Attack Framework for RGB-T Tracker

Adapting Dense Matching for Homography Estimation with Grid-based Acceleration

Balancing Task-invariant Interaction and Task-specific Adaptation for Unified Image Fusion

Multi-Shape Matching with Cycle Consistency Basis via Functional Maps

ACAttack: Adaptive Cross Attacking RGB-T Tracker via Multi-Modal Response Decoupling

Deep Adaptive Unfolded Network via Spatial Morphology Stripping and Spectral Filtration for Pan-sharpening

Robust Test-Time Adaptation for Single Image Denoising Using Deep Gaussian Prior

LUT-Fuse: Towards Extremely Fast Infrared and Visible Image Fusion via Distillation to Learnable Look-Up Tables

CoMatch: Dynamic Covisibility-Aware Transformer for Bilateral Subpixel-Level Semi-Dense Image Matching

HyperGCT: A Dynamic Hyper-GNN-Learned Geometric Constraint for 3D Registration

ArgMatch: Adaptive Refinement Gathering for Efficient Dense Matching

End-to-End Entity-Predicate Association Reasoning for Dynamic Scene Graph Generation

TemCoCo: Temporally Consistent Multi-modal Video Fusion with Visual-Semantic Collaboration

DeMo: Deep Motion Field Consensus with Learnable Kernels for Two-view Correspondence Learning

Matching While Perceiving: Enhance Image Feature Matching with Applicable Semantic Amalgamation

ResMatch: Residual Attention Learning for Feature Matching

Locality Preserving Refinement for Shape Matching with Functional Maps

A Robust Mutual-Reinforcing Framework for 3D Multi-Modal Medical Image Fusion Based on Visual-Semantic Consistency

DeMatch: Deep Decomposition of Motion Field for Two-View Correspondence Learning

MRFS: Mutually Reinforcing Image Fusion and Segmentation

Unmixing Before Fusion: A Generalized Paradigm for Multi-Source-based Hyperspectral Image Synthesis

Sparse-to-dense Multimodal Image Registration via Multi-Task Learning

Multi-Scale Progressive Fusion Network for Single Image Deraining

MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning

Coherent Point Drift Revisited for Non-Rigid Shape Matching and Registration

RFNet: Unsupervised Network for Mutually Reinforcing Multi-Modal Image Registration and Fusion

MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph

Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures

Robust and Scalable Gaussian Process Regression and Its Applications

LSTFE-Net:Long Short-Term Feature Enhancement Network for Video Small Object Detection

T-Net: Effective Permutation-Equivariant Network for Two-View Correspondence Learning

Omniscient Video Super-Resolution

Uniformity in Heterogeneity: Diving Deep Into Count Interval Partition for Crowd Counting

Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model

Geometric Estimation via Robust Subspace Recovery

Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion

Hierarchical Memory Learning for Fine-Grained Scene Graph Generation

Robust Model Reasoning and Fitting via Dual Sparsity Pursuit