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 48 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

Coarse-to-fine multi-scale attention-guided network for multi-exposure image fusion.

[BibT_eX]

[DOI]

Vis. Comput., March, 2024

Holistic Dynamic Frequency Transformer for image fusion and exposure correction.

[BibT_eX]

[DOI]

Inf. Fusion, February, 2024

Multiscale Synergism Ensemble Progressive and Contrastive Investigation for Image Restoration.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Neural Radiance Fields with Adaptive Multi-Exposure Fusion: A Bilevel Optimization Approach for Novel View Synthesis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A unified image fusion framework with flexible bilevel paradigm integration.

[BibT_eX]

[DOI]

Vis. Comput., October, 2023

HoLoCo: Holistic and local contrastive learning network for multi-exposure image fusion.

[BibT_eX]

[DOI]

Inf. Fusion, July, 2023

Learning a Coordinated Network for Detail-Refinement Multiexposure Image Fusion.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., February, 2023

GALFusion: Multi-Exposure Image Fusion via a Global-Local Aggregation Learning Network.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2023

Breaking Free From Fusion Rule: A Fully Semantic-Driven Infrared and Visible Image Fusion.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2023

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

[BibT_eX]

[DOI]

Inf. Fusion, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Improving Misaligned Multi-modality Image Fusion with One-stage Progressive Dense Registration.

[BibT_eX]

[DOI]

CoRR, 2023

Bilevel Fast Scene Adaptation for Low-Light Image Enhancement.

[BibT_eX]

[DOI]

CoRR, 2023

A Task-guided, Implicitly-searched and Meta-initialized Deep Model for Image Fusion.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Modality-Invariant Representation for Infrared and Visible Image Registration.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring a Distillation with Embedded Prompts for Object Detection in Adverse Environments.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

WaterFlow: Heuristic Normalizing Flow for Underwater Image Enhancement and Beyond.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Little Strokes Fell Great Oaks: Boosting the Hierarchical Features for Multi-exposure Image Fusion.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Bilevel Generative Learning for Low-Light Vision.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Fearless Luminance Adaptation: A Macro-Micro-Hierarchical Transformer for Exposure Correction.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Learning a Graph Neural Network with Cross Modality Interaction for Image Fusion.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Multi-Spectral Image Stitching via Spatial Graph Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Global structure-guided learning framework for underwater image enhancement.

[BibT_eX]

[DOI]

Vis. Comput., 2022

Attention-Guided Global-Local Adversarial Learning for Detail-Preserving Multi-Exposure Image Fusion.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Learning a Deep Multi-Scale Feature Ensemble and an Edge-Attention Guidance for Image Fusion.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Learn to Search a Lightweight Architecture for Target-Aware Infrared and Visible Image Fusion.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2022

CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image Fusion.

[BibT_eX]

[DOI]

CoRR, 2022

Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-modality Image Fusion.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Learning Hadamard-Product-Propagation for Image Dehazing and Beyond.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2021

SMoA: Searching a Modality-Oriented Architecture for Infrared and Visible Image Fusion.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2021

Searching a Hierarchically Aggregated Fusion Architecture for Fast Multi-Modality Image Fusion.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Multiple Task-Oriented Encoders for Unified Image Fusion.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2019

Compounded Layer-Prior Unrolling: A Unified Transmission-Based Image Enhancement Framework.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Jinyuan Liu

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