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Deng-Ping Fan

Deng-Ping Fan

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
49
Citations
19016
World Ranking
336
National Ranking
110

Computer Science

D-Index
47
Citations
20633
World Ranking
6290
National Ranking
839

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Deng-Ping Fan is a researcher affiliated with Nankai University in China, with a primary focus on computer science and related subfields, notably computer vision and pattern recognition, artificial intelligence, radiology, nuclear medicine and imaging, oncology, and cognitive neuroscience.

The scientist's research encompasses multiple specialized topics, including:

  • Visual Attention and Saliency Detection
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Image Enhancement Techniques
  • Image and Video Quality Assessment
  • Multimodal Machine Learning Applications
  • Medical Image Segmentation Techniques

Deng-Ping Fan has contributed notably to multiple recent publications, such as:

  • "Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images", 2020, IEEE Transactions on Medical Imaging
  • "Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks", 2020, IEEE Transactions on Neural Networks and Learning Systems
  • "Concealed Object Detection", 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence

The scientist frequently collaborates with several co-authors, including Ling Shao, Ge-Peng Ji, Luc Van Gool, Ming-Ming Cheng, and Huazhu Fu, reflecting engagement in collaborative projects across multiple research topics.

Publications by Deng-Ping Fan appear often in prominent academic venues, with multiple papers published in:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Machine Intelligence Research
  • Computational Visual Media
  • CAAI Artificial Intelligence Research

The broader corpus of Deng-Ping Fan's work within computer science includes 278 publications, with 237 focusing specifically on computer vision and pattern recognition. This body of work is intertwined with advances in artificial intelligence and its applications to imaging and video analysis, as well as medical imaging techniques and segmentation.

Best Publications

  • Structure-Measure: A New Way to Evaluate Foreground Maps

    Deng-Ping Fan;Ming-Ming Cheng;Yun Liu;Tao Li

  • Enhanced-alignment Measure for Binary Foreground Map Evaluation

    Deng-Ping Fan;Cheng Gong;Yang Cao;Bo Ren

  • PraNet: Parallel Reverse Attention Network for Polyp Segmentation

    Deng-Ping Fan;Ge-Peng Ji;Tao Zhou;Geng Chen

  • EGNet: Edge Guidance Network for Salient Object Detection

    Jiaxing Zhao;Jiang-Jiang Liu;Deng-Ping Fan;Yang Cao

  • Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images

    Deng-Ping Fan;Tao Zhou;Ge-Peng Ji;Yi Zhou

  • Structure-Measure: A New Way to Evaluate Foreground Maps

    Ming-Ming Cheng;Deng-Ping Fan

  • Concealed Object Detection

    Unknown

  • Camouflaged Object Detection

    Deng-Ping Fan;Ge-Peng Ji;Guolei Sun;Ming-Ming Cheng

  • Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks

    Deng-Ping Fan;Zheng Lin;Zhao Zhang;Menglong Zhu

  • JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation

    Yu-Huan Wu;Shang-Hua Gao;Jie Mei;Jun Xu

  • Camouflaged Object Segmentation with Distraction Mining

    Haiyang Mei;Ge-Peng Ji;Ziqi Wei;Xin Yang

  • Shifting More Attention to Video Salient Object Detection

    Deng-Ping Fan;Wenguan Wang;Ming-Ming Cheng;Jianbing Shen

  • Simultaneously Localize, Segment and Rank the Camouflaged Objects

    Yunqiu Lv;Jing Zhang;Yuchao Dai;Aixuan Li

  • Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection

    Jia-Xing Zhao;Yang Cao;Deng-Ping Fan;Ming-Ming Cheng

  • UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders

    Jing Zhang;Deng-Ping Fan;Yuchao Dai;Saeed Anwar

  • Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

    Unknown

  • Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground

    Deng-Ping Fan;Ming-Ming Cheng;Jiang-Jiang Liu;Shang-Hua Gao

  • JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection

    Keren Fu;Deng-Ping Fan;Ge-Peng Ji;Qijun Zhao

  • Bilateral Attention Network for RGB-D Salient Object Detection

    Zhao Zhang;Zheng Lin;Jun Xu;Wen-Da Jin

  • Mutual Graph Learning for Camouflaged Object Detection

    Qiang Zhai;Xin Li;Fan Yang;Chenglizhao Chen

  • BBS-Net: RGB-D Salient Object Detection with a Bifurcated Backbone Strategy Network

    Deng-Ping Fan;Yingjie Zhai;Ali Borji;Jufeng Yang

  • RGB-D salient object detection: A survey.

    Tao Zhou;Deng-Ping Fan;Ming-Ming Cheng;Jianbing Shen

  • Re-thinking Co-Salient Object Detection.

    Deng-Ping Fan;Tengpeng Li;Zheng Lin;Ge-Peng Ji

Frequent Co-Authors

Ming-Ming Cheng
Ming-Ming Cheng Nankai University
Jianbing Shen
Jianbing Shen University of Macau
Huazhu Fu
Huazhu Fu Agency for Science, Technology and Research
Ali Borji
Ali Borji Quintic AI
Jun Xu
Jun Xu University of Utah
Paul L. Rosin
Paul L. Rosin Cardiff University
Rongrong Ji
Rongrong Ji Xiamen University
Ling Shao
Ling Shao Terminus International
Yuchao Dai
Yuchao Dai Northwestern Polytechnical University
Qibin Hou
Qibin Hou Nankai University

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