{"total":29,"rows":[{"id":"2406.10581","title":"CrossFuse: A Novel Cross Attention Mechanism based Infrared and Visible Image Fusion Approach","created":"2024-06-15","cited_by_count":38,"area":null},{"id":"2204.11436","title":"SwinFuse: A Residual Swin Transformer Fusion Network for Infrared and Visible Images","created":"2022-04-25","cited_by_count":25,"area":null},{"id":"2309.11847","title":"MEFLUT: Unsupervised 1D Lookup Tables for Multi-exposure Image Fusion","created":"2023-09-21","cited_by_count":22,"area":null},{"id":"2305.12734","title":"EMEF: Ensemble Multi-Exposure Image Fusion","created":"2023-05-22","cited_by_count":10,"area":null},{"id":"2402.01212","title":"TSJNet: A Multi-modality Target and Semantic Awareness Joint-driven Image Fusion Network","created":"2024-02-02","cited_by_count":10,"area":null},{"id":"2309.01113","title":"Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-free Multi-Exposure Image Fusion","created":"2023-09-03","cited_by_count":9,"area":null},{"id":"2505.19858","title":"A Unified Solution to Video Fusion: From Multi-Frame Learning to Benchmarking","created":"2025-05-26","cited_by_count":9,"area":null},{"id":"2204.10648","title":"Exposure Correction Model to Enhance Image Quality","created":"2022-04-22","cited_by_count":6,"area":null},{"id":"2502.14493","title":"CrossFuse: Learning Infrared and Visible Image Fusion by Cross-Sensor Top-K Vision Alignment and Beyond","created":"2025-02-20","cited_by_count":5,"area":null},{"id":"2410.12274","title":"Fusion from Decomposition: A Self-Supervised Approach for Image Fusion and Beyond","created":"2024-10-16","cited_by_count":4,"area":null},{"id":"2411.10679","title":"SMLNet: A SPD Manifold Learning Network for Infrared and Visible Image Fusion","created":"2024-11-16","cited_by_count":4,"area":null},{"id":"2508.13503","title":"AdaptiveAE: An Adaptive Exposure Strategy for HDR Capturing in Dynamic Scenes","created":"2025-08-19","cited_by_count":3,"area":null},{"id":"2312.10604","title":"A Dual Domain Multi-exposure Image Fusion Network based on the Spatial-Frequency Integration","created":"2023-12-17","cited_by_count":2,"area":null},{"id":"2506.14384","title":"GrFormer: A Novel Transformer on Grassmann Manifold for Infrared and Visible Image Fusion","created":"2025-06-17","cited_by_count":2,"area":null},{"id":"2305.17376","title":"DePF: A Novel Fusion Approach based on Decomposition Pooling for Infrared and Visible Images","created":"2023-05-27","cited_by_count":1,"area":null},{"id":"2408.07932","title":"MobileMEF: Fast and Efficient Method for Multi-Exposure Fusion","created":"2024-08-15","cited_by_count":1,"area":null},{"id":"2602.06017","title":"MambaVF: State Space Model for Efficient Video Fusion","created":"2026-02-05","cited_by_count":1,"area":null},{"id":"2608.28674","title":"Multi-exposure HDR Imaging: A Review of Pixel-level and Feature-level Reconstruction Methods","created":"2026-08-25","cited_by_count":1,"area":null},{"id":"2303.06575","title":"Scale-aware Two-stage High Dynamic Range Imaging","created":"2023-03-12","cited_by_count":0,"area":null},{"id":"2307.06443","title":"Efficient Convolution and Transformer-Based Network for Video Frame Interpolation","created":"2023-07-12","cited_by_count":0,"area":null},{"id":"2404.05183","title":"Progressive Alignment with VLM-LLM Feature to Augment Defect Classification for the ASE Dataset","created":"2024-04-08","cited_by_count":0,"area":null},{"id":"2412.13749","title":"Multi-Exposure Image Fusion via Distilled 3D LUT Grid with Editable Mode","created":"2024-12-18","cited_by_count":0,"area":null},{"id":"2509.00442","title":"SemaMIL: Semantic-Aware Multiple Instance Learning with Retrieval-Guided State Space Modeling for Whole Slide Images","created":"2025-08-30","cited_by_count":0,"area":null},{"id":"2509.19779","title":"EfficienT-HDR: An Efficient Transformer-Based Framework via Multi-Exposure Fusion for HDR Reconstruction","created":"2025-09-24","cited_by_count":0,"area":null},{"id":"2511.06066","title":"LoopExpose: An Unsupervised Framework for Arbitrary-Length Exposure Correction","created":"2025-11-08","cited_by_count":0,"area":null},{"id":"2601.05538","title":"DIFF-MF: A Difference-Driven Channel-Spatial State Space Model for Multi-Modal Image Fusion","created":"2026-01-09","cited_by_count":0,"area":null},{"id":"2606.07985","title":"FMRFusion: Frequency-Aware Multi-View Representation Learning for Heterogeneous Image Fusion","created":"2026-06-06","cited_by_count":0,"area":null},{"id":"2606.15104","title":"Text-Driven Fusion for Infrared and Visible Images: Achieving Image Scene Adaptation on Hyperbolic Space","created":"2026-06-13","cited_by_count":0,"area":null},{"id":"2607.03959","title":"Cross-Modal Fusion of OCT and OCT angiography enface for Improved Diagnostics of Diabetic Retinopathy","created":"2026-07-04","cited_by_count":0,"area":null}],"next_cursor":null}