World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
14213
World Ranking
6329
National Ranking
842

Overview

Risheng Liu is affiliated with Dalian University of Technology in China. Their research primarily spans the fields of Computer Science and Engineering, with a substantial contribution to subfields such as Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Computational Mechanics, and Biomedical Engineering.

The main topics of Risheng Liu's research include:

  • Image Enhancement Techniques
  • Advanced Image Fusion Techniques
  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging
  • Advanced Neural Network Applications
  • Visual Attention and Saliency Detection
  • Sparse and Compressive Sensing Techniques

Notable recent publications by Risheng Liu illustrate a focus on image enhancement and fusion, frequently published in recognized venues:

  • "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

Risheng Liu has contributed to multiple book publications with Springer Science+Business Media. The series titled "Image and Graphics," published in 2023, includes five entries credited to Liu.

The frequent coauthors collaborating with Risheng Liu include:

  • Xin Fan
  • Jinyuan Liu
  • Zhongxuan Luo
  • Long Ma
  • Zhiying Jiang

Publication venues frequently featuring work by Risheng Liu are:

  • 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
  • IEEE Signal Processing Letters

Best Publications

  • The Visual Object Tracking VOT2015 Challenge Results

    Matej Kristan;Jiri Matas;Ale Leonardis;Michael Felsberg

  • Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation

    Zhouchen Lin;Risheng Liu;Zhixun Su

  • 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

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

    Jinyuan Liu;Xin Fan;Ji Jiang;Risheng Liu

  • Self-augmented Unpaired Image Dehazing via Density and Depth Decomposition

    Unknown

  • Target Oriented Perceptual Adversarial Fusion Network for Underwater Image Enhancement

    Unknown

  • Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way

    Unknown

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

    Unknown

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

    Unknown

  • Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning

    Risheng Liu;Zhouchen Lin;Zhixun Su

  • Unsupervised Representation Learning With Long-Term Dynamics for Skeleton Based Action Recognition

    Nenggan Zheng;Jun Wen;Risheng Liu;Liangqu Long

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

    Unknown

  • Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning

    Zhouchen Lin;Risheng Liu;Huan Li

  • Structure-constrained low-rank representation.

    Kewei Tang;Risheng Liu;Zhixun Su;Jie Zhang

  • Adaptive Partial Differential Equation Learning for Visual Saliency Detection

    Risheng Liu;Junjie Cao;Zhouchen Lin;Shiguang Shan

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

    Unknown

  • Low-Rank Structure Learning via Nonconvex Heuristic Recovery

    Yue Deng;Qionghai Dai;Risheng Liu;Zengke Zhang

  • Fixed-rank representation for unsupervised visual learning

    Risheng Liu;Zhouchen Lin;Fernando De la Torre;Zhixun Su

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

    Risheng Liu;Jinyuan Liu;Zhiying Jiang;Xin Fan

  • Kernel estimation from salient structure for robust motion deblurring

    Jinshan Pan;Risheng Liu;Zhixun Su;Xianfeng Gu

  • 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

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

    Risheng Liu;Shichao Cheng;Yi He;Xin Fan

  • A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton

    Risheng Liu;Pan Mu;Xiaoming Yuan;Shangzhi Zeng

  • 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
Zhongxuan Luo
Zhongxuan Luo Dalian University of Technology
Zhouchen Lin
Zhouchen Lin Peking University
Xiaoming Yuan
Xiaoming Yuan University of Hong Kong
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Jie Zhang
Jie Zhang Newcastle University
Yiu-ming Cheung
Yiu-ming Cheung Hong Kong Baptist University
Junsong Yuan
Junsong Yuan University at Buffalo, State University of New York
Shiguang Shan
Shiguang Shan Chinese Academy of Sciences
Hao Huang
Hao Huang University of Pennsylvania

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