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Chang-Su Kim

Chang-Su Kim

D-Index & Metrics

Computer Science

D-Index
47
Citations
10121
World Ranking
6433
National Ranking
51

Overview

Chang-Su Kim is affiliated with Korea University in South Korea and specializes in research primarily within the fields of Computer Science and Engineering. Their work spans several subfields including Computer Vision and Pattern Recognition, Media Technology, Automotive Engineering, Signal Processing, and Artificial Intelligence.

The scientist has contributed extensively to areas such as Advanced Vision and Imaging, Advanced Image Processing Techniques, Image Processing Techniques and Applications, and Image Enhancement Techniques. Other notable topics include Advanced Image and Video Retrieval Techniques, Video Surveillance and Tracking Methods, and Image and Signal Denoising Methods.

Chang-Su Kim's recent scholarly publications highlight a focus on image and video analysis. Selected works include:

  • Asymmetric Bilateral Motion Estimation for Video Frame Interpolation, 2021, published in the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Moving Window Regression: A Novel Approach to Ordinal Regression, 2022, published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Light Field Super-Resolution via Adaptive Feature Remixing, 2021, published in IEEE Transactions on Image Processing
  • Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes, 2022, published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Three-Dimensional Convolutional Neural Network for Prostate MRI Segmentation and Comparison of Prostate Volume Measurements by Use of Artificial Neural Network and Ellipsoid Formula, 2020, published in American Journal of Roentgenology

The frequent coauthors associated with Chang-Su Kim include Dongkwon Jin, Jae-Han Lee, Yeong Jun Koh, Keunsoo Ko, and Chul Lee. This collaboration is documented by multiple joint publications.

Common publication venues for their work comprise arXiv (Cornell University), IEEE Access, the Journal of Visual Communication and Image Representation, the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and the 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Best Publications

  • Contrast Enhancement Based on Layered Difference Representation of 2D Histograms

    Chulwoo Lee;Chul Lee;Chang-Su Kim

  • Optimized contrast enhancement for real-time image and video dehazing

    Jin-Hwan Kim;Won-Dong Jang;Jae-Young Sim;Chang-Su Kim

  • Technologies for 3D mesh compression: A survey

    Jingliang Peng;Chang-Su Kim;C. C. Jay Kuo

  • Motion-Compensated Frame Interpolation Using Bilateral Motion Estimation and Adaptive Overlapped Block Motion Compensation

    Byeong-Doo Choi;Jong-Woo Han;Chang-Su Kim;Sung-Jea Ko

  • Single-image deraining using an adaptive nonlocal means filter

    Jin-Hwan Kim;Chul Lee;Jae-Young Sim;Chang-Su Kim

  • Video Deraining and Desnowing Using Temporal Correlation and Low-Rank Matrix Completion

    Jin-Hwan Kim;Jae-Young Sim;Chang-Su Kim

  • Contrast enhancement based on layered difference representation

    Chulwoo Lee;Chul Lee;Chang-Su Kim

  • Power-Constrained Contrast Enhancement for Emissive Displays Based on Histogram Equalization

    Chulwoo Lee;Chul Lee;Young-Yoon Lee;Chang-Su Kim

  • Interactive Image Segmentation via Backpropagating Refinement Scheme

    Won-Dong Jang;Chang-Su Kim

  • Spatial and Temporal Error Concealment Techniques for Video Transmission Over Noisy Channels

    Wei-Ying Kung;Chang-Su Kim;C.-C.J. Kuo

  • Cross-border R&D alliances, absorptive capacity and technology learning

    Chang Su Kim;Andrew C. Inkpen

  • BMBC: Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation

    Junheum Park;Keunsoo Ko;Chul Lee;Chang Su Kim

  • Primary Object Segmentation in Videos Based on Region Augmentation and Reduction

    Yeong Jun Koh;Chang-Su Kim

  • Spatiotemporal Saliency Detection for Video Sequences Based on Random Walk With Restart

    Hansang Kim;Youngbae Kim;Jae-Young Sim;Chang-Su Kim

  • Single-Image Depth Estimation Based on Fourier Domain Analysis

    Jae-Han Lee;Minhyeok Heo;Kyung-Rae Kim;Chang-Su Kim

  • SOWP: Spatially Ordered and Weighted Patch Descriptor for Visual Tracking

    Han-Ul Kim;Dae-Youn Lee;Jae-Young Sim;Chang-Su Kim

  • Asymmetric Bilateral Motion Estimation for Video Frame Interpolation

    Junheum Park;Chul Lee;Chang-Su Kim

  • Monocular Depth Estimation Using Relative Depth Maps

    Jae-Han Lee;Chang-Su Kim

  • Online Video Object Segmentation via Convolutional Trident Network

    Won-Dong Jang;Chang-Su Kim

  • Single image dehazing based on contrast enhancement

    Jin-Hwan Kim;Jae-Young Sim;Chang-Su Kim

Frequent Co-Authors

Sang Uk Lee
Sang Uk Lee Seoul National University
C.-C. Jay Kuo
C.-C. Jay Kuo University of Southern California
JongWon Kim
JongWon Kim Gwangju Institute of Science and Technology
Yo-Sung Ho
Yo-Sung Ho Gwangju Institute of Science and Technology
Sung-Jea Ko
Sung-Jea Ko Korea University
Soung Chang Liew
Soung Chang Liew Chinese University of Hong Kong
Anthony Vetro
Anthony Vetro Mitsubishi Electric (United States)
Minh N. Do
Minh N. Do University of Illinois at Urbana-Champaign
Kyoung Mu Lee
Kyoung Mu Lee Seoul National University

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