Jinyuan Liu

Orcid: 0000-0003-2085-2676

Affiliations:
  • Dalian University of Technology, School of Mechanical Engineering, Dalian, China


According to our database1, Jinyuan Liu authored at least 65 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2024
GeSeNet: A General Semantic-Guided Network With Couple Mask Ensemble for Medical Image Fusion.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Improving Misaligned Multi-Modality Image Fusion With One-Stage Progressive Dense Registration.
IEEE Trans. Circuits Syst. Video Technol., November, 2024

Multiscale Bilateral Attention Fusion Network for Pansharpening.
IEEE Trans. Artif. Intell., November, 2024

A Task-Guided, Implicitly-Searched and Meta-Initialized Deep Model for Image Fusion.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image Fusion.
Int. J. Comput. Vis., May, 2024

Coarse-to-fine multi-scale attention-guided network for multi-exposure image fusion.
Vis. Comput., March, 2024

Holistic Dynamic Frequency Transformer for image fusion and exposure correction.
Inf. Fusion, February, 2024

Multispectral Image Stitching via Global-Aware Quadrature Pyramid Regression.
IEEE Trans. Image Process., 2024

Multiscale Synergism Ensemble Progressive and Contrastive Investigation for Image Restoration.
IEEE Trans. Instrum. Meas., 2024

Learning to Search a Lightweight Generalized Network for Medical Image Fusion.
IEEE Trans. Circuits Syst. Video Technol., 2024

Searching a Compact Architecture for Robust Multi-Exposure Image Fusion.
IEEE Trans. Circuits Syst. Video Technol., 2024

Leveraging a self-adaptive mean teacher model for semi-supervised multi-exposure image fusion.
Inf. Fusion, 2024

SDFuse: Semantic-injected dual-flow learning for infrared and visible image fusion.
Expert Syst. Appl., 2024

A2RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion.
CoRR, 2024

SeFENet: Robust Deep Homography Estimation via Semantic-Driven Feature Enhancement.
CoRR, 2024

HUPE: Heuristic Underwater Perceptual Enhancement with Semantic Collaborative Learning.
CoRR, 2024

From Text to Pixels: A Context-Aware Semantic Synergy Solution for Infrared and Visible Image Fusion.
CoRR, 2024

Where Elegance Meets Precision: Towards a Compact, Automatic, and Flexible Framework for Multi-modality Image Fusion and Applications.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Adaptive Multi-Exposure Fusion for Enhanced Neural Radiance Fields.
Proceedings of the IEEE International Conference on Acoustics, 2024

AEAM3D: Adverse Environment-Adaptive Monocular 3D Object Detection via Feature Extraction Regularization.
Proceedings of the IEEE International Conference on Acoustics, 2024

Segmentation-Driven Infrared and Visible Image Fusion Via Transformer-Enhanced Architecture Searching.
Proceedings of the IEEE International Conference on Acoustics, 2024

Local Contrast Prior-Guided Cross Aggregation Model for Effective Infrared Small Target Detection.
Proceedings of the IEEE International Conference on Acoustics, 2024

Contourlet Residual for Prompt Learning Enhanced Infrared Image Super-Resolution.
Proceedings of the Computer Vision - ECCV 2024, 2024

Enhancing Neural Radiance Fields with Adaptive Multi-Exposure Fusion: A Bilevel Optimization Approach for Novel View Synthesis.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Improving Cross-Modal Alignment with Synthetic Pairs for Text-Only Image Captioning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A unified image fusion framework with flexible bilevel paradigm integration.
Vis. Comput., October, 2023

HoLoCo: Holistic and local contrastive learning network for multi-exposure image fusion.
Inf. Fusion, July, 2023

Learning a Coordinated Network for Detail-Refinement Multiexposure Image Fusion.
IEEE Trans. Circuits Syst. Video Technol., February, 2023

GALFusion: Multi-Exposure Image Fusion via a Global-Local Aggregation Learning Network.
IEEE Trans. Instrum. Meas., 2023

Breaking Free From Fusion Rule: A Fully Semantic-Driven Infrared and Visible Image Fusion.
IEEE Signal Process. Lett., 2023

An interactively reinforced paradigm for joint infrared-visible image fusion and saliency object detection.
Inf. Fusion, 2023

AdvMono3D: Advanced Monocular 3D Object Detection with Depth-Aware Robust Adversarial Training.
CoRR, 2023

Dual Adversarial Resilience for Collaborating Robust Underwater Image Enhancement and Perception.
CoRR, 2023

Enhancing Infrared Small Target Detection Robustness with Bi-Level Adversarial Framework.
CoRR, 2023

Bilevel Fast Scene Adaptation for Low-Light Image Enhancement.
CoRR, 2023

Embracing Compact and Robust Architectures for Multi-Exposure Image Fusion.
CoRR, 2023

MonoTDP: Twin Depth Perception for Monocular 3D Object Detection in Adverse Scenes.
CoRR, 2023

Modality-Invariant Representation for Infrared and Visible Image Registration.
CoRR, 2023

Exploring a Distillation with Embedded Prompts for Object Detection in Adverse Environments.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

WaterFlow: Heuristic Normalizing Flow for Underwater Image Enhancement and Beyond.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Little Strokes Fell Great Oaks: Boosting the Hierarchical Features for Multi-exposure Image Fusion.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Bilevel Generative Learning for Low-Light Vision.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Fearless Luminance Adaptation: A Macro-Micro-Hierarchical Transformer for Exposure Correction.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Learning a Graph Neural Network with Cross Modality Interaction for Image Fusion.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Multi-Spectral Image Stitching via Spatial Graph Reasoning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Global structure-guided learning framework for underwater image enhancement.
Vis. Comput., 2022

Attention-Guided Global-Local Adversarial Learning for Detail-Preserving Multi-Exposure Image Fusion.
IEEE Trans. Circuits Syst. Video Technol., 2022

Learning a Deep Multi-Scale Feature Ensemble and an Edge-Attention Guidance for Image Fusion.
IEEE Trans. Circuits Syst. Video Technol., 2022

Learn to Search a Lightweight Architecture for Target-Aware Infrared and Visible Image Fusion.
IEEE Signal Process. Lett., 2022

Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-modality Image Fusion.
Proceedings of the Computer Vision - ECCV 2022, 2022

Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
A Bilevel Integrated Model With Data-Driven Layer Ensemble for Multi-Modality Image Fusion.
IEEE Trans. Image Process., 2021

Learning Hadamard-Product-Propagation for Image Dehazing and Beyond.
IEEE Trans. Circuits Syst. Video Technol., 2021

SMoA: Searching a Modality-Oriented Architecture for Infrared and Visible Image Fusion.
IEEE Signal Process. Lett., 2021

Searching a Hierarchically Aggregated Fusion Architecture for Fast Multi-Modality Image Fusion.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Halder: Hierarchical Attention-Guided Learning with Detail-Refinement for Multi-Exposure Image Fusion.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Multiple Task-Oriented Encoders for Unified Image Fusion.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2019
Compounded Layer-Prior Unrolling: A Unified Transmission-Based Image Enhancement Framework.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019


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