World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
6992
World Ranking
7653
National Ranking
71

Overview

Moongu Jeon is affiliated with the Gwangju Institute of Science and Technology in South Korea. Their research primarily spans the fields of Computer Science and Engineering, with a significant focus on several specialized subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Automotive Engineering, Aerospace Engineering, and Media Technology.

The scientist's work covers a range of main topics including:

  • Advanced Neural Network Applications
  • Autonomous Vehicle Technology and Safety
  • Video Surveillance and Tracking Methods
  • Advanced Image and Video Retrieval Techniques
  • Infrared Target Detection Methodologies
  • Human Pose and Action Recognition
  • Advanced Vision and Imaging

Some of the recent papers published by Moongu Jeon include:

  • Key Points Estimation and Point Instance Segmentation Approach for Lane Detection, 2021, IEEE Transactions on Intelligent Transportation Systems
  • Cascade multiscale residual attention CNNs with adaptive ROI for automatic brain tumor segmentation, 2022, Information Sciences
  • Abnormal Event Detection and Localization via Adversarial Event Prediction, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • Imbalanced image classification with complement cross entropy, 2021, Pattern Recognition Letters
  • A Long Short-Term Memory (LSTM) Network for Hourly Estimation of PM2.5 Concentration in Two Cities of South Korea, 2020, Applied Sciences

Moongu Jeon frequently publishes in venues such as arXiv (Cornell University), SSRN Electronic Journal, Information Sciences, IEEE Access, and IEEE Transactions on Intelligent Transportation Systems. The distribution of publications highlights a strong engagement with open-access and peer-reviewed journals in the fields of information sciences and intelligent transportation.

The scientist collaborates regularly with several co-authors, including Shoaib Azam, Farzeen Munir, Muhammad Aasim Rafique, Muhammad Ishfaq Hussain, and Younkwan Lee. These collaborations indicate a network of research partnerships predominantly focused on computer vision and associated artificial intelligence applications.

Best Publications

  • Key Points Estimation and Point Instance Segmentation Approach for Lane Detection

    Yeongmin Ko;Younkwan Lee;Shoaib Azam;Farzeen Munir

  • Neuromorphic Hardware System for Visual Pattern Recognition With Memristor Array and CMOS Neuron

    Myonglae Chu;Byoungho Kim;Sangsu Park;Hyunsang Hwang

  • Structure Preserving Dimension Reduction for Clustered Text Data Based on the Generalized Singular Value Decomposition

    Peg Howland;Moongu Jeon;Haesun Park

  • Modified binary particle swarm optimization

    Sangwook Lee;Sangmoon Soak;Sanghoun Oh;Witold Pedrycz

  • Electronic system with memristive synapses for pattern recognition

    Sangsu Park;Myonglae Chu;Jongin Kim;Jinwoo Noh

  • Neuromorphic speech systems using advanced ReRAM-based synapse

    S. Park;A. Sheri;J. Kim;J. Noh

  • RRAM-based synapse for neuromorphic system with pattern recognition function

    S. Park;H. Kim;M. Choo;J. Noh

  • Atrial fibrillation detection by heart rate variability in Poincare plot

    Jinho Park;Sangwook Lee;Moongu Jeon

  • Lower Dimensional Representation of Text Data Based on Centroids and Least Squares

    Haesun Park;Moongu Jeon;J. Ben Rosen;J. Ben Rosen

  • Nanoscale RRAM-based synaptic electronics: toward a neuromorphic computing device.

    Sangsu Park;Jinwoo Noh;Myung Lae Choo;Ahmad Muqeem Sheri

  • Despeckling of medical ultrasound images using Daubechies complex wavelet transform

    Ashish Khare;Manish Khare;Yongyeon Jeong;Hongkook Kim

  • Cascade multiscale residual attention CNNs with adaptive ROI for automatic brain tumor segmentation

    Unknown

  • A new framework for background subtraction using multiple cues

    SeungJong Noh;Moongu Jeon

  • Data fusion of radar and image measurements for multi-object tracking via Kalman filtering

    Du Yong Kim;Moongu Jeon

  • UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring

    Siwei Lyu;Ming-Ching Chang;Dawei Du;Wenbo Li

  • Driver Drowsiness Detection Using Condition-Adaptive Representation Learning Framework

    Jongmin Yu;Sangwoo Park;Sangwook Lee;Moongu Jeon

  • Unsupervised hierarchical image segmentation with level set and additive operator splitting

    M. Jeon;M. Alexander;W. Pedrycz;N. Pizzi

  • Vehicle license plate detection using region-based convolutional neural networks

    Muhammad Aasim Rafique;Witold Pedrycz;Witold Pedrycz;Witold Pedrycz;Moongu Jeon

  • Abnormal Event Detection and Localization via Adversarial Event Prediction.

    Jongmin Yu;Younkwan Lee;Kin Choong Yow;Moongu Jeon

  • Neuromorphic Character Recognition System With Two PCMO Memristors as a Synapse

    Ahmad Muqeem Sheri;Hyunsang Hwang;Moongu Jeon;Byung-geun Lee

  • Implementation of a portable device for real-time ECG signal analysis

    Taegyun Jeon;Byoungho Kim;Moongu Jeon;Byung-Geun Lee

  • Online Multi-Object Tracking with Historical Appearance Matching and Scene Adaptive Detection Filtering

    Young-chul Yoon;Abhijeet Boragule;Young-min Song;Kwangjin Yoon

Frequent Co-Authors

Witold Pedrycz
Witold Pedrycz University of Alberta
Haesun Park
Haesun Park Georgia Institute of Technology
Hyunsang Hwang
Hyunsang Hwang Pohang University of Science and Technology
Byoung Hun Lee
Byoung Hun Lee Pohang University of Science and Technology
Jinho Choi
Jinho Choi University of Adelaide
Chang Wook Ahn
Chang Wook Ahn Gwangju Institute of Science and Technology
Dawei Du
Dawei Du ByteDance
JongWon Kim
JongWon Kim Gwangju Institute of Science and Technology
Ming Liu
Ming Liu Hong Kong University of Science and Technology
Jaesung Park
Jaesung Park Pohang University of Science and Technology

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