Standout Papers

Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light 2020 2026 2022 2024495
  1. Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light (2020)
    Risheng Liu, Xin Fan et al. IEEE Transactions on Circuits and Systems for Video Technology
  2. Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection (2022)
    Jinyuan Liu, Xin Fan et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  3. Toward Fast, Flexible, and Robust Low-Light Image Enhancement (2022)
    Long Ma, Tengyu Ma et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  4. Learning a Deep Multi-Scale Feature Ensemble and an Edge-Attention Guidance for Image Fusion (2021)
    Jinyuan Liu, Xin Fan et al. IEEE Transactions on Circuits and Systems for Video Technology
  5. Twin Adversarial Contrastive Learning for Underwater Image Enhancement and Beyond (2022)
    Risheng Liu, Zhiying Jiang et al. IEEE Transactions on Image Processing
  6. Target Oriented Perceptual Adversarial Fusion Network for Underwater Image Enhancement (2022)
    Zhiying Jiang, Zhuoxiao Li et al. IEEE Transactions on Circuits and Systems for Video Technology
  7. Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration (2022)
    Di Wang, Jinyuan Liu et al. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Immediate Impact

2 by Nobel laureates 36 from Science/Nature 73 standout
Sub-graph 1 of 25

Citing Papers

YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-Time Object Detection
2025 Standout
MulFS-CAP: Multimodal Fusion-Supervised Cross-Modality Alignment Perception for Unregistered Infrared-Visible Image Fusion
2025 Standout

Works of Xin Fan being referenced

Improving Misaligned Multi-Modality Image Fusion With One-Stage Progressive Dense Registration
2024
Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection
2022 Standout
and 4 more

Author Peers

Author Last Decade Papers Cites
Xin Fan 3375 1970 343 551 202 5.1k
David Bull 2698 1241 589 768 320 5.4k
Kin‐Man Lam 3622 852 452 837 308 6.3k
Jinchang Ren 2963 3147 1428 549 267 7.6k
Fatih Porikli 5440 1309 1114 495 145 6.6k
Qiuping Jiang 2899 1233 353 178 195 3.8k
Qingshan Liu 3159 1880 1125 340 220 5.8k
Dong Liu 3573 838 1314 333 231 6.1k
Runmin Cong 4004 1467 251 334 88 4.5k
J. Illingworth 2903 811 453 581 67 4.5k
Chongyi Li 6161 2671 223 278 95 6.9k

All Works

Loading papers...

Rankless by CCL
2026