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Computer Science

D-Index
41
Citations
8314
World Ranking
8742
National Ranking
87

Overview

Euntai Kim is a researcher affiliated with Yonsei University in South Korea, specializing in fields related to computer science and engineering. Their primary focus lies in computer vision and pattern recognition, with extensive work in aerospace engineering and artificial intelligence. The subfields of their research also include automotive engineering and medical imaging techniques such as radiology and nuclear medicine.

The scientist has extensively published in topical areas that cover robotics and sensor-based localization, advanced neural network applications, and image and video retrieval techniques. Additional research themes include multimodal machine learning, domain adaptation and few-shot learning, visual attention, saliency detection, as well as video surveillance and tracking methodologies.

Prominent recent publications by Euntai Kim include:

  • "Hierarchical Memory Matching Network for Video Object Segmentation" (2021) published in the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "WildNet: Learning Domain Generalized Semantic Segmentation from the Wild" (2022) from the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Correlation Verification for Image Retrieval" (2022) presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition" (2020) published in IEEE Access
  • "Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer" (2021) in the Proceedings of the AAAI Conference on Artificial Intelligence

Euntai Kim has collaborated frequently with specific coauthors throughout their career. These include Hongje Seong, Suhyeon Lee, Junhyuk Hyun, Seongwon Lee, and Kyusik Cho. The most frequent collaborator is Hongje Seong, with whom they have worked on multiple projects.

Their publications are mainly concentrated in several venues known for computer science and engineering research, such as arXiv, IEEE Access, and the AAAI Conference on Artificial Intelligence. Other publication forums include Sensors and the 2022 CVPR conference.

Best Publications

  • New approaches to relaxed quadratic stability condition of fuzzy control systems

    Euntai Kim;Heejin Lee

  • A new approach to fuzzy modeling

    Euntai Kim;Minkee Park;Seunghwan Ji;Mignon Park

  • A fuzzy disturbance observer and its application to control

    Euntai Kim

  • A soft computing approach to localization in wireless sensor networks

    Sukhyun Yun;Jaehun Lee;Wooyong Chung;Euntai Kim

  • Output feedback tracking control of robot manipulators with model uncertainty via adaptive fuzzy logic

    Euntai Kim

  • A transformed input-domain approach to fuzzy modeling

    Euntai Kim;Minkee Park;Seungwoo Kim;Mignon Park

  • Kernelized Memory Network for Video Object Segmentation

    Hongje Seong;Junhyuk Hyun;Euntai Kim

  • Stability analysis and synthesis for an affine fuzzy control system via LMI and ILMI: a continuous case

    Euntai Kim;Seungwoo Kim

  • A New Evolutionary Particle Filter for the Prevention of Sample Impoverishment

    Seongkeun Park;Jae Pil Hwang;Euntai Kim;Hyung-Jin Kang

  • A simply identified Sugeno-type fuzzy model via double clustering

    Euntai Kim;Heejin Lee;Minkee Park;Mignon Park

  • Stability analysis and synthesis for an affine fuzzy system via LMI and ILMI: discrete case

    Euntai Kim;Dongyon Kim

  • Output feedback tracking control of MIMO systems using a fuzzy disturbance observer and its application to the speed control of a PM synchronous motor

    Euntai Kim;Sungryul Lee

  • Robust tracking control of an electrically driven robot: adaptive fuzzy logic approach

    Jae Pil Hwang;Euntai Kim

  • A new sliding-mode control with fuzzy boundary layer

    Heejin Lee;Euntai Kim;Hyung-Jin Kang;Mingnon Park

  • WildNet: Learning Domain Generalized Semantic Segmentation from the Wild

    Unknown

  • Hierarchical Memory Matching Network for Video Object Segmentation

    Hongje Seong;Seoung Wug Oh;Joon-Young Lee;Seongwon Lee

  • Fuzzy adaptive synchronization of uncertain chaotic systems

    Jae Hun Kim;Chang Woo Park;Euntai Kim;Mignon Park

  • Adaptive Synchronization of Uncertain Chaotic Systems Based on T–S Fuzzy Model

    Jae-Hun Kim;Chang-Ho Hyun;Euntai Kim;Mignon Park

  • A new weighted approach to imbalanced data classification problem via support vector machine with quadratic cost function

    Jae Pil Hwang;Seongkeun Park;Euntai Kim

  • Limit-cycle prediction of a fuzzy control system based on describing function method

    Euntai Kim;Heejin Lee;Mignon Park

  • Multiple Object Tracking via Feature Pyramid Siamese Networks

    Sangyun Lee;Euntai Kim

Frequent Co-Authors

Witold Pedrycz
Witold Pedrycz University of Alberta
Miguel Angel Sotelo
Miguel Angel Sotelo University of Alcalá
Jin Bae Park
Jin Bae Park Yonsei University
Joon-Young Lee
Joon-Young Lee Adobe Systems (United States)
Kar-Ann Toh
Kar-Ann Toh Yonsei University
Andrew Beng Jin Teoh
Andrew Beng Jin Teoh Yonsei University
Kwanghoon Sohn
Kwanghoon Sohn Yonsei University
Stephen Lin
Stephen Lin Microsoft Research Asia (China)
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Jongwoo Lim
Jongwoo Lim Seoul National University

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