World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
4386
World Ranking
13172
National Ranking
1608

Overview

Zhongxuan Luo is affiliated with Dalian University of Technology in China. Their research spans multiple areas within computer science and engineering, focusing heavily on image processing and computer vision.

Their work frequently appears in a variety of publication venues, including:

  • arXiv (Cornell University)
  • Computer-Aided Design
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Neural Networks and Learning Systems

Luo's primary fields of study are:

  • Computer Science
  • Engineering

The subfields of study they contribute to include:

  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Media Technology
  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence

Main topics covered in Luo's research are:

  • Image Enhancement Techniques
  • Advanced Image Fusion Techniques
  • Advanced Image Processing Techniques
  • Advanced Neural Network Applications
  • Advanced Numerical Analysis Techniques
  • Advanced Vision and Imaging
  • Computational Geometry and Mesh Generation

The scientist has collaborated frequently with the following co-authors:

  • Xin Fan
  • Risheng Liu
  • Na Lei
  • Long Ma
  • Shengfa Wang

Some of their notable recent papers are:

  • "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)
  • "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)
  • "Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way" (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition)
  • "Rethinking general underwater object detection: Datasets, challenges, and solutions" (2022, Neurocomputing)

Best Publications

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

    Risheng Liu;Xin Fan;Ming Zhu;Minjun Hou

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

    Jinyuan Liu;Xin Fan;Ji Jiang;Risheng Liu

  • User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks

    Yuanzheng Ci;Xinzhu Ma;Zhihui Wang;Haojie Li

  • Towards Effective Bug Triage with Software Data Reduction Techniques

    Jifeng Xuan;He Jiang;Yan Hu;Zhilei Ren

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

    Risheng Liu;Jinyuan Liu;Zhiying Jiang;Xin Fan

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

    Long Ma;Risheng Liu;Jiaao Zhang;Xin Fan

  • Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection

    Miao Zhang;Jie Liu;Yifei Wang;Yongri Piao

  • 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

  • Solving the Large Scale Next Release Problem with a Backbone-Based Multilevel Algorithm

    Unknown

  • Efficient Representation and Optimization of TPMS-Based Porous Structures for 3D Heat Dissipation

    Shengfa Wang;Yu Jiang;Jiangbei Hu;Xin Fan

  • Low-Light Image Enhancement via Self-Reinforced Retinex Projection Model

    Unknown

  • Learning With Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision

    Unknown

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

    Risheng Liu;Shichao Cheng;Yi He;Xin Fan

  • Deep Proximal Unrolling: Algorithmic Framework, Convergence Analysis and Applications

    Risheng Liu;Shichao Cheng;Long Ma;Xin Fan

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

    Xin Fan;Yi Wang;Xianxuan Tang;Renjie Gao

  • Learning Bilevel Layer Priors for Single Image Rain Streaks Removal

    Pan Mu;Jian Chen;Risheng Liu;Xin Fan

  • Knowledge-Driven Deep Unrolling for Robust Image Layer Separation

    Risheng Liu;Zhiying Jiang;Xin Fan;Zhongxuan Luo

  • Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis

    Risheng Liu;Guangyu Zhong;Junjie Cao;Zhouchen Lin

  • Novel Coplanar Line-Points Invariants for Robust Line Matching Across Views

    Qi Jia;Xinkai Gao;Xin Fan;Zhongxuan Luo

  • Recommending New Features from Mobile App Descriptions

    He Jiang;Jingxuan Zhang;Xiaochen Li;Zhilei Ren

  • A lightweight methodology of 3D printed objects utilizing multi-scale porous structures

    Jiangbei Hu;Shengfa Wang;Yi Wang;Fengqi Li

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

    Risheng Liu;Xin Fan;Ming Zhu;Minjun Hou

Frequent Co-Authors

Xin Fan
Xin Fan Dalian University of Technology
Risheng Liu
Risheng Liu Dalian University of Technology
Jiebo Luo
Jiebo Luo University of Rochester
Hao Huang
Hao Huang University of Pennsylvania
Ligang Liu
Ligang Liu University of Science and Technology of China
Zhouchen Lin
Zhouchen Lin Peking University
Jane You
Jane You Hong Kong Polytechnic University
Chin-Chen Chang
Chin-Chen Chang Feng Chia University
Shiguang Shan
Shiguang Shan Chinese Academy of Sciences
Yi Li
Yi Li University of Manchester

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