World's Best Scientists 2026 revealed!
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Rising Stars
2025

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Rising Stars

D-Index
44
Citations
9364
World Ranking
481
National Ranking
161

Computer Science

D-Index
45
Citations
10613
World Ranking
7097
National Ranking
943

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Runmin Cong is affiliated with Shandong University in China and has contributed extensively to the field of computer science, with a primary focus on computer vision and pattern recognition. Their research spans advanced techniques in image processing and artificial intelligence, with particular emphasis on visual attention and saliency detection.

The scientist's recent publications include:

  • Global Context-Aware Progressive Aggregation Network for Salient Object Detection, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Image Dehazing Transformer with Transmission-Aware 3D Position Embedding, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images, 2020, IEEE Transactions on Image Processing
  • ASIF-Net: Attention Steered Interweave Fusion Network for RGB-D Salient Object Detection, 2020, IEEE Transactions on Cybernetics
  • Underwater Image Enhancement Quality Evaluation: Benchmark Dataset and Objective Metric, 2022, IEEE Transactions on Circuits and Systems for Video Technology

The scientist frequently collaborates with other researchers, with the most common co-authors being:

  • Sam Kwong (55 collaborations)
  • Yao Zhao (49 collaborations)
  • Chongyi Li (21 collaborations)
  • Qingming Huang (17 collaborations)
  • Qiuping Jiang (17 collaborations)

Runmin Cong publishes mainly in venues known for computer vision and multimedia research. Frequent publication venues include:

  • arXiv (Cornell University) with 49 papers
  • IEEE Transactions on Image Processing with 12 papers
  • IEEE Transactions on Multimedia with 10 papers
  • IEEE Transactions on Circuits and Systems for Video Technology with 9 papers
  • IEEE Transactions on Geoscience and Remote Sensing with 5 papers

The primary fields of study for this scientist are squarely within computer science, with extensive work in subfields such as:

  • Computer Vision and Pattern Recognition (204 publications)
  • Media Technology (45 publications)
  • Artificial Intelligence (19 publications)
  • Radiology, Nuclear Medicine and Imaging (13 publications)
  • Cognitive Neuroscience (12 publications)

The main research topics covered by Runmin Cong's work include:

  • Visual Attention and Saliency Detection (96 publications)
  • Advanced Image Fusion Techniques (56 publications)
  • Advanced Image Processing Techniques (54 publications)
  • Advanced Neural Network Applications (52 publications)
  • Image Enhancement Techniques (42 publications)
  • Advanced Image and Video Retrieval Techniques (42 publications)
  • Advanced Vision and Imaging (28 publications)

Best Publications

  • Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

    Chunle Guo;Chongyi Li;Jichang Guo;Chen Change Loy

  • An Underwater Image Enhancement Benchmark Dataset and Beyond

    Chongyi Li;Chunle Guo;Wenqi Ren;Runmin Cong

  • Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding

    Chongyi Li;Saeed Anwar;Junhui Hou;Runmin Cong

  • Underwater Image Enhancement by Dehazing With Minimum Information Loss and Histogram Distribution Prior

    Chong-Yi Li;Ji-Chang Guo;Run-Min Cong;Yan-Wei Pang

  • Image Dehazing Transformer with Transmission-Aware 3D Position Embedding

    Unknown

  • Global Context-Aware Progressive Aggregation Network for Salient Object Detection

    Zuyao Chen;Qianqian Xu;Runmin Cong;Qingming Huang

  • Review of Visual Saliency Detection With Comprehensive Information

    Runmin Cong;Jianjun Lei;Huazhu Fu;Ming-Ming Cheng

  • Nested Network With Two-Stream Pyramid for Salient Object Detection in Optical Remote Sensing Images

    Chongyi Li;Runmin Cong;Junhui Hou;Sanyi Zhang

  • Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images

    Qijian Zhang;Runmin Cong;Chongyi Li;Ming-Ming Cheng

  • Underwater Image Enhancement Quality Evaluation: Benchmark Dataset and Objective Metric

    Unknown

  • PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN With Dual-Discriminators

    Unknown

  • Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion

    Runmin Cong;Jianjun Lei;Changqing Zhang;Qingming Huang

  • ASIF-Net: Attention Steered Interweave Fusion Network for RGB-D Salient Object Detection

    Chongyi Li;Runmin Cong;Sam Kwong;Junhui Hou

  • A hybrid method for underwater image correction

    Chongyi Li;Jichang Guo;Chunle Guo;Runmin Cong

  • CIR-Net: Cross-Modality Interaction and Refinement for RGB-D Salient Object Detection

    Unknown

  • Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution

    Chunle Guo;Chongyi Li;Jichang Guo;Runmin Cong

  • DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection

    Zuyao Chen;Runmin Cong;Qianqian Xu;Qingming Huang

  • WaveNet: Wavelet Network With Knowledge Distillation for RGB-T Salient Object Detection

    Unknown

  • RRNet: Relational Reasoning Network with Parallel Multi-scale Attention for Salient Object Detection in Optical Remote Sensing Images

    Runmin Cong;Yumo Zhang;Leyuan Fang;Jun Li

  • Unsupervised Decomposition and Correction Network for Low-Light Image Enhancement

    Unknown

  • RGB-D Salient Object Detection with Cross-Modality Modulation and Selection

    Chongyi Li;Runmin Cong;Yongri Piao;Qianqian Xu

  • Going From RGB to RGBD Saliency: A Depth-Guided Transformation Model

    Runmin Cong;Jianjun Lei;Huazhu Fu;Junhui Hou

  • PDR-Net: Perception-Inspired Single Image Dehazing Network With Refinement

    Chongyi Li;Chunle Guo;Jichang Guo;Ping Han

  • Co-Saliency Detection for RGBD Images Based on Multi-Constraint Feature Matching and Cross Label Propagation

    Runmin Cong;Jianjun Lei;Huazhu Fu;Qingming Huang

  • Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

    Chunle Guo;Chongyi Li;Jichang Guo;Chen Change Loy

  • An Iterative Co-Saliency Framework for RGBD Images

    Runmin Cong;Jianjun Lei;Huazhu Fu;Weisi Lin

  • Perceptual hashing for image authentication: A survey

    Ling Du;Anthony T.S. Ho;Anthony T.S. Ho;Anthony T.S. Ho;Runmin Cong

Frequent Co-Authors

Sam Kwong
Sam Kwong Lingnan University
Huazhu Fu
Huazhu Fu Agency for Science, Technology and Research
Qingming Huang
Qingming Huang University of Chinese Academy of Sciences
Yao Zhao
Yao Zhao Beijing Jiaotong University
Junhui Hou
Junhui Hou City University of Hong Kong
Xiaochun Cao
Xiaochun Cao Sun Yat-sen University
Chunping Hou
Chunping Hou Tianjin University
Wenqi Ren
Wenqi Ren Sun Yat-sen University
Weisi Lin
Weisi Lin Nanyang Technological University
Ming-Ming Cheng
Ming-Ming Cheng Nankai University

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