World's Best Scientists 2026 revealed!

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Computer Science

D-Index
49
Citations
9711
World Ranking
5886
National Ranking
44

Overview

Sang Uk Lee is affiliated with Seoul National University in South Korea. Their research spans several key fields and subfields within engineering and computer science.

The main fields of study include:

  • Engineering
  • Computer Science

Within these fields, the subfields of study are:

  • Aerospace Engineering
  • Artificial Intelligence
  • Computer Networks and Communications
  • Automotive Engineering
  • Control and Systems Engineering

The primary research topics covered by Sang Uk Lee include:

  • GNSS positioning and interference
  • Wireless Communication Networks Research
  • Inertial Sensor and Navigation
  • Autonomous Vehicle Technology and Safety
  • Traffic control and management
  • Reinforcement Learning in Robotics
  • Explainable Artificial Intelligence (XAI)

The scientist's recent publications demonstrate a focus on autonomous vehicles, signal processing, and explainable AI methods. Selected papers are:

  • "Driving in Real Life with Inverse Reinforcement Learning," 2022, arXiv (Cornell University)
  • "Constant Envelope Multiplexing Scheme for Three Equal Power Signals," 2022, 2022 27th Asia Pacific Conference on Communications (APCC)
  • "Explainable deep learning improves human mental models of self-driving cars," 2024, arXiv (Cornell University)

The venues where Sang Uk Lee has published frequently include:

  • arXiv (Cornell University)
  • 2022 27th Asia Pacific Conference on Communications (APCC)

Regular collaborators in research activities are:

  • Tung Phan-Minh
  • Momchil S. Tomov
  • Hyoungsoo Lim
  • Forbes Howington
  • Ting-Sheng Chu

Best Publications

  • Performance study of several global thresholding techniques for segmentation

    Sang Uk Lee;Seok Yoon Chung;Rae Hong Park

  • On the color image segmentation algorithm based on the thresholding and the fuzzy C-means techniques

    Young Won Lim;Sang Uk Lee

  • Efficient video indexing scheme for content-based retrieval

    Hyun Sung Chang;Sanghoon Sull;Sang Uk Lee

  • Robust Stereo Matching Using Adaptive Normalized Cross-Correlation

    Yong Seok Heo;Kyong Mu Lee;Sang Uk Lee

  • A dense stereo matching using two-pass dynamic programming with generalized ground control points

    Jae Chul Kim;Kyoung Mu Lee;Byoung Tae Choi;Sang Uk Lee

  • Learning Full Pairwise Affinities for Spectral Segmentation

    Tae Hoon Kim;Kyoung Mu Lee;Sang Uk Lee

  • On the POCS-based postprocessing technique to reduce the blocking artifacts in transform coded images

    Hoon Paek;Rin-Chul Kim;Sang-Uk Lee

  • Color image segmentation based on 3-D clustering: morphological approach

    Sang Ho Park;Il Dong Yun;Sang Uk Lee

  • DCT coefficients recovery-based error concealment technique and its application to the MPEG-2 bit stream error

    Jong Wook Park;Jong Won Kim;Sang Uk Lee

  • Learning full pairwise affinities for spectral segmentation

    Tae Hoon Kim;Kyoung Mu Lee

  • On the adaptive lattice notch filter for the detection of sinusoids

    N.I. Cho;S.U. Lee

  • Integrated position estimation using aerial image sequences

    Dong-Gyu Sim;Rae-Hong Park;Rin-Chul Kim;Sang Uk Lee

  • Generative Image Segmentation Using Random Walks with Restart

    Tae Hoon Kim;Kyoung Mu Lee;Sang Uk Lee

  • Adaptive line enhancement by using an IIR lattice notch filter

    Nam Ik Cho;Chong-Ho Choi;Sang Uk Lee

  • Occlusion invariant face recognition using selective local non-negative matrix factorization basis images

    Hyun Jun Oh;Kyoung Mu Lee;Sang Uk Lee

  • Image vector quantizer based on a classification in the DCT domain

    Dong Sik Kim;Sang Uk Lee

  • Fusion of Lidar and Imagery for Reliable Building Extraction

    Dong Hyuk Lee;Kyoung Mu Lee;Sang Uk Lee

  • DCT algorithms for VLSI parallel implementations

    Nam Ik Cho;Sang Uk Lee

  • Estimation of intrinsic image sequences from image+depth video

    Kyong Joon Lee;Qi Zhao;Xin Tong;Minmin Gong

  • Face recognition using face-ARG matching

    Bo-Gun Park;Kyoung-Mu Lee;Sang-Uk Lee

Frequent Co-Authors

Chang-Su Kim
Chang-Su Kim Korea University
Kyoung Mu Lee
Kyoung Mu Lee Seoul National University
Nam Ik Cho
Nam Ik Cho Seoul National University
JongWon Kim
JongWon Kim Gwangju Institute of Science and Technology
Rae-Hong Park
Rae-Hong Park Sogang University
Hongbin Zha
Hongbin Zha Peking University
Christos Davatzikos
Christos Davatzikos University of Pennsylvania
Xin Tong
Xin Tong Microsoft Research Asia (China)
Sang Woo Kim
Sang Woo Kim Pohang University of Science and Technology
Youdan Kim
Youdan Kim Seoul National University

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