World's Best Scientists 2026 revealed!
Ming-Ming Cheng

Ming-Ming Cheng

Award Badge
Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
93
Citations
54270
World Ranking
502
National Ranking
68

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award

Overview

Ming-Ming Cheng is affiliated with Nankai University in China and has contributed extensively to the field of computer science, with a focus on computer vision and pattern recognition. Their research spans multiple subfields including artificial intelligence, media technology, radiology and imaging, as well as aerospace engineering.

The scientist's work covers a range of main topics, such as advanced neural network applications, domain adaptation and few-shot learning, advanced image and video retrieval techniques, visual attention and saliency detection, multimodal machine learning applications, advanced vision and imaging, and advanced image processing techniques.

Recent notable publications include:

  • "Attention mechanisms in computer vision: A survey," 2022, published in Computational Visual Media
  • "Visual attention network," 2023, published in Computational Visual Media
  • "LayerCAM: Exploring Hierarchical Class Activation Maps for Localization," 2021, published in IEEE Transactions on Image Processing
  • "Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks," 2020, published in IEEE Transactions on Neural Networks and Learning Systems
  • "Concealed Object Detection," 2021, published in IEEE Transactions on Pattern Analysis and Machine Intelligence

Ming-Ming Cheng collaborates frequently with a group of co-authors, including Qibin Hou, Yun Liu, Deng-Ping Fan, Shanghua Gao, and Xialei Liu. These collaborations have contributed to a substantial body of work in the computer vision domain.

The scientist has a strong presence in several publication venues. The most frequent among these are:

  • arXiv (Cornell University) with 114 publications
  • IEEE Transactions on Pattern Analysis and Machine Intelligence with 34 publications
  • IEEE Transactions on Image Processing with 14 publications
  • International Journal of Computer Vision with 6 publications
  • Computational Visual Media with 5 publications

Ming-Ming Cheng's academic output primarily focuses on advancing the understanding and application of neural networks and visual attention mechanisms in computer vision tasks. Their research contributions provide insights into localization, salient object detection, and multimodal learning, addressing challenges across multiple imaging and computational modalities.

Best Publications

  • Global contrast based salient region detection

    Ming-Ming Cheng;Guo-Xin Zhang;Niloy J. Mitra;Xiaolei Huang

  • Struck: Structured Output Tracking with Kernels

    Sam Hare;Stuart Golodetz;Amir Saffari;Vibhav Vineet

  • Res2Net: A New Multi-Scale Backbone Architecture

    Shang-Hua Gao;Ming-Ming Cheng;Kai Zhao;Xin-Yu Zhang

  • Salient Object Detection: A Benchmark

    Ali Borji;Ming-Ming Cheng;Huaizu Jiang;Jia Li

  • 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

  • Deeply Supervised Salient Object Detection with Short Connections

    Qibin Hou;Ming-Ming Cheng;Xiaowei Hu;Ali Borji

  • Salient Object Detection: A Discriminative Regional Feature Integration Approach

    Huaizu Jiang;Jingdong Wang;Zejian Yuan;Yang Wu

  • BING: Binarized Normed Gradients for Objectness Estimation at 300fps

    Ming-Ming Cheng;Ziming Zhang;Wen-Yan Lin;Philip Torr

  • Deeply Supervised Salient Object Detection with Short Connections

    Qibin Hou;Ming-Ming Cheng;Xiaowei Hu;Ali Borji

  • Salient Object Detection: A Survey

    Ali Borji;Ming Ming Cheng;Qibin Hou;Huaizu Jiang

  • EGNet: Edge Guidance Network for Salient Object Detection

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

  • Global Contrast Based Salient Region Detection

    Unknown

  • A Simple Pooling-Based Design for Real-Time Salient Object Detection

    Jiang-Jiang Liu;Qibin Hou;Ming-Ming Cheng;Jiashi Feng

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

    Ming-Ming Cheng;Deng-Ping Fan

  • Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach

    Yunchao Wei;Jiashi Feng;Xiaodan Liang;Ming-Ming Cheng

  • Richer Convolutional Features for Edge Detection

    Yun Liu;Ming-Ming Cheng;Xiaowei Hu;Jia-Wang Bian

  • Sketch2Photo: internet image montage

    Tao Chen;Ming-Ming Cheng;Ping Tan;Ariel Shamir

  • Concealed Object Detection

    Unknown

  • Camouflaged Object Detection

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

  • LayerCAM: Exploring Hierarchical Class Activation Maps for Localization

    Peng-Tao Jiang;Chang-Bin Zhang;Qibin Hou;Ming-Ming Cheng

  • Efficient Salient Region Detection with Soft Image Abstraction

    Ming-Ming Cheng;Jonathan Warrell;Wen-Yan Lin;Shuai Zheng

  • Salient Object Detection: A Discriminative Regional Feature Integration Approach

    Jingdong Wang;Huaizu Jiang;Zejian Yuan;Ming-Ming Cheng

  • BING: Binarized normed gradients for objectness estimation at 300fps

    Ming Ming Cheng;Yun Liu;Wen Yan Lin;Ziming Zhang

Frequent Co-Authors

Qibin Hou
Qibin Hou Nankai University
Deng-Ping Fan
Deng-Ping Fan Nankai University
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Le Zhang
Le Zhang University of Electronic Science and Technology of China
Ali Borji
Ali Borji Quintic AI
Paul L. Rosin
Paul L. Rosin Cardiff University
Shi-Min Hu
Shi-Min Hu Tsinghua University
Jun Xu
Jun Xu University of Utah
Jianbing Shen
Jianbing Shen University of Macau
Yunchao Wei
Yunchao Wei Beijing Jiaotong University

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