| Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection J Liu, X Fan, Z Huang, G Wu, R Liu, W Zhong, Z Luo IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR) (Oral), 2022 | 284 | 2022 |
| Learning a deep multi-scale feature ensemble and an edge-attention guidance for image fusion J Liu, X Fan, J Jiang, R Liu, Z Luo IEEE Transactions on Circuits and Systems for Video Technology, 2022 | 173 | 2022 |
| Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration D Wang, J Liu, X Fan, R Liu International Joint Conference on Artificial Intelligence(IJCAI) (Long Oral), 2022 | 103 | 2022 |
| A bilevel integrated model with data-driven layer ensemble for multi-modality image fusion R Liu, J Liu, Z Jiang, X Fan, Z Luo IEEE Transactions on Image Processing, 2020 | 102 | 2020 |
| Attention-guided Global-local Adversarial Learning for Detail-preserving Multi-exposure Image Fusion J Liu, J Shang, R Liu, X Fan IEEE Transactions on Circuits and Systems for Video Technology, 2022 | 79 | 2022 |
| HoLoCo: Holistic and local contrastive learning network for multi-exposure image fusion J Liu, G Wu, J Luan, Z Jiang, R Liu, X Fan Information Fusion, 2023 | 55 | 2023 |
| Smoa: Searching a modality-oriented architecture for infrared and visible image fusion J Liu, Y Wu, Z Huang, R Liu, X Fan IEEE Signal Processing Letters, 2021 | 51 | 2021 |
| ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-modality Image Fusion Z Huang, J Liu, X Fan, R Liu, W Zhong, Z Luo European Conference on Computer Vision(ECCV), 2022 | 50 | 2022 |
| Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation J Liu, Z Liu, G Wu, L Ma, R Liu, W Zhong, Z Luo, X Fan IEEE/CVF International Conference on Computer Vision(ICCV)(Oral), 2023 | 44 | 2023 |
| Bilevel fast scene adaptation for low-light image enhancement L Ma, D Jin, N An, J Liu, X Fan, Z Luo, R Liu International Journal of Computer Vision, 2023 | 37 | 2023 |
| Searching a hierarchically aggregated fusion architecture for fast multi-modality image fusion R Liu, Z Liu, J Liu, X Fan ACM International Conference on Multimedia(ACM MM), 2021 | 36 | 2021 |
| An interactively reinforced paradigm for joint infrared-visible image fusion and saliency object detection D Wang, J Liu, R Liu, X Fan Information Fusion, 2023 | 34 | 2023 |
| CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image Fusion J Liu, R Lin, G Wu, R Liu, Z Luo, X Fan International Journal of Computer Vision, 2023 | 28 | 2023 |
| Learning hadamard-product-propagation for image dehazing and beyond R Liu, S Li, J Liu, L Ma, X Fan, Z Luo IEEE Transactions on Circuits and Systems for Video Technology, 2020 | 24 | 2020 |
| Learning a Coordinated Network for Detail-refinement Multi-exposure Image Fusion J Li, J Liu, S Zhou, Q Zhang, NK Kasabov IEEE Transactions on Circuits and Systems for Video Technology, 2022 | 23 | 2022 |
| Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond Z Liu, J Liu, G Wu, L Ma, X Fan, R Liu International Joint Conference on Artificial Intelligence(IJCAI), 2023 | 18 | 2023 |
| Infrared and visible image fusion based on residual dense network and gradient loss J Li, J Liu, S Zhou, Q Zhang, NK Kasabov Infrared Physics & Technology, 2023 | 17 | 2023 |
| Global structure-guided learning framework for underwater image enhancement R Lin, J Liu, R Liu, X Fan The Visual Computer, 2021 | 17 | 2021 |
| Learn to Search a Lightweight Architecture for Target-aware Infrared and Visible Image Fusion J Liu, Y Wu, G Wu, R Liu, X Fan IEEE Signal Processing Letters, 2022 | 16 | 2022 |
| A unified image fusion framework with flexible bilevel paradigm integration J Liu, Z Jiang, G Wu, R Liu, X Fan The Visual Computer, 2022 | 13 | 2022 |
