World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
11353
World Ranking
5824
National Ranking
769

Overview

Xin Fan is affiliated with Dalian University of Technology in China and has contributed extensively to research in the fields of Computer Science and Engineering. Their primary focus lies within the domains of Computer Vision and Pattern Recognition, Media Technology, Biomedical Engineering, Artificial Intelligence, and Civil and Structural Engineering.

The scientist's research covers a range of topics including Image Enhancement Techniques, Advanced Image Fusion Techniques, Advanced Image Processing Techniques, Advanced Vision and Imaging, Advanced Neural Network Applications, Visual Attention and Saliency Detection, and Advanced Image and Video Retrieval Techniques.

Xin Fan has published numerous papers in prominent venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Neurocomputing

Some notable papers by Xin Fan are:

  • Toward Fast, Flexible, and Robust Low-Light Image Enhancement, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light, 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • Learning a Deep Multi-Scale Feature Ensemble and an Edge-Attention Guidance for Image Fusion, 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • Twin Adversarial Contrastive Learning for Underwater Image Enhancement and Beyond, 2022, IEEE Transactions on Image Processing

Frequent collaborators in Xin Fan's work include Risheng Liu, Zhongxuan Luo, Jinyuan Liu, Long Ma, and Zhiying Jiang.

Best Publications

  • Toward Fast, Flexible, and Robust Low-Light Image Enhancement

    Unknown

  • Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection

    Unknown

  • Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement

    Risheng Liu;Long Ma;Jiaao Zhang;Xin Fan

  • Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light

    Risheng Liu;Xin Fan;Ming Zhu;Minjun Hou

  • Twin Adversarial Contrastive Learning for Underwater Image Enhancement and Beyond

    Unknown

  • Quantifying interface and bulk contributions to spin–orbit torque in magnetic bilayers

    Xin Fan;Halise Celik;Jun Wu;Chaoying Ni

  • Learning a Deep Multi-scale Feature Ensemble and an Edge-attention Guidance for Image Fusion

    Jinyuan Liu;Xin Fan;Ji Jiang;Risheng Liu

  • Target Oriented Perceptual Adversarial Fusion Network for Underwater Image Enhancement

    Unknown

  • Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving

    Xinzhu Ma;Zhihui Wang;Haojie Li;Pengbo Zhang

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

    Unknown

  • Super-resolution of human face image using canonical correlation analysis

    Hua Huang;Huiting He;Xin Fan;Junping Zhang

  • Rethinking general underwater object detection: Datasets, challenges, and solutions

    Unknown

  • Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation

    Unknown

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

    Unknown

  • Feature selection for imbalanced data based on neighborhood rough sets

    Hongmei Chen;Tianrui Li;Xin Fan;Chuan Luo

  • Anomalous spin-orbit torques in magnetic single-layer films.

    Wenrui Wang;Tao Wang;Vivek P. Amin;Vivek P. Amin;Yang Wang

  • An Interactively Reinforced Paradigm for Joint Infrared-Visible Image Fusion and Saliency Object Detection

    Unknown

  • White Matter Changes in Healthy Adolescents at Familial Risk for Unipolar Depression: A Diffusion Tensor Imaging Study

    Hao Huang;Xin Fan;Douglas E. Williamson;Uma Rao

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

    Unknown

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

    Unknown

  • A Bilevel Integrated Model With Data-Driven Layer Ensemble for Multi-Modality Image Fusion

    Risheng Liu;Jinyuan Liu;Zhiying Jiang;Xin Fan

  • Leveraging Line-point Consistence to Preserve Structures for Wide Parallax Image Stitching

    Qi Jia;ZhengJun Li;Xin Fan;Haotian Zhao

  • Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement.

    Long Ma;Risheng Liu;Jiaao Zhang;Xin Fan

  • Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond

    Risheng Liu;Xin Fan;Minjun Hou;Zhiying Jiang

  • Joint Residual Learning for Underwater Image Enhancement

    Minjun Hou;Risheng Liu;Xin Fan;Zhongxuan Luo

  • A Dataset and Benchmark of Underwater Object Detection for Robot Picking

    Chongwei Liu;Haojie Li;Shuchang Wang;Ming Zhu

  • Deep Joint Depth Estimation and Color Correction From Monocular Underwater Images Based on Unsupervised Adaptation Networks

    Xinchen Ye;Zheng Li;Baoli Sun;Zhihui Wang

  • A Fast Ellipse Detector Using Projective Invariant Pruning

    Qi Jia;Xin Fan;Zhongxuan Luo;Lianbo Song

  • Graphical Models for Joint Segmentation and Recognition of License Plate Characters

    Xin Fan;Guoliang Fan

  • On the Convergence of Learning-Based Iterative Methods for Nonconvex Inverse Problems

    Risheng Liu;Shichao Cheng;Yi He;Xin Fan

  • Real-time evolution of tunneling magnetoresistance during annealing in CoFeB∕MgO∕CoFeB magnetic tunnel junctions

    W. G. Wang;C. Ni;A. Rumaiz;Y. Wang

  • Two-Layer Gaussian Process Regression With Example Selection for Image Dehazing

    Xin Fan;Yi Wang;Xianxuan Tang;Renjie Gao

  • Real-world Underwater Enhancement: Challenges, Benchmarks, and Solutions

    Risheng Liu;Xin Fan;Ming Zhu;Minjun Hou

Frequent Co-Authors

Risheng Liu
Risheng Liu Dalian University of Technology
Zhongxuan Luo
Zhongxuan Luo Dalian University of Technology
John Q. Xiao
John Q. Xiao University of Delaware
Huaiwu Zhang
Huaiwu Zhang University of Electronic Science and Technology of China
Chaoying Ni
Chaoying Ni University of Delaware
Zhi Tian
Zhi Tian George Mason University
Hao Huang
Hao Huang University of Pennsylvania
David G. Cahill
David G. Cahill University of Illinois at Urbana-Champaign
Hua Huang
Hua Huang University of California, Merced
Daniel C. Ralph
Daniel C. Ralph Cornell University

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