World's Best Scientists 2026 revealed!

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Computer Science

D-Index
43
Citations
7559
World Ranking
8003
National Ranking
79

Overview

Munchurl Kim is affiliated with the Korea Advanced Institute of Science and Technology in South Korea and has made significant contributions mainly in the fields of computer science and engineering. Their research emphasizes computer vision and pattern recognition, with additional focus on media technology, aerospace engineering, signal processing, and artificial intelligence.

The scientist's work covers a range of topics related to advanced image processing, vision, and imaging. These include advanced image processing techniques, advanced vision and imaging, image processing techniques and applications, image enhancement techniques, image and signal denoising methods, advanced image fusion techniques, and optical measurement and interference techniques.

Munchurl Kim has authored numerous papers that reflect these interests. Some recent publications include:

  • JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video (2020, Proceedings of the AAAI Conference on Artificial Intelligence)
  • A Novel Just-Noticeable-Difference-Based Saliency-Channel Attention Residual Network for Full-Reference Image Quality Predictions (2020, IEEE Transactions on Circuits and Systems for Video Technology)
  • Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes (2020, arXiv (Cornell University))
  • UPSNet: Unsupervised Pan-Sharpening Network With Registration Learning Between Panchromatic and Multi-Spectral Images (2020, IEEE Access)
  • SPAM-Net: A CNN-Based SAR Target Recognition Network With Pose Angle Marginalization Learning (2020, IEEE Transactions on Circuits and Systems for Video Technology)

The frequent publication venues where this scientist's work appears prominently include:

  • arXiv (Cornell University)
  • IEEE Access
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Proceedings of the AAAI Conference on Artificial Intelligence

Frequent collaborators of Munchurl Kim include:

  • Jihyong Oh
  • Juan Luis Gonzalez Bello
  • Jeonghyeok Do
  • Jaehyup Lee
  • Hyun-Ho Kim

The researcher has contributed to a substantial volume of academic publications, totaling over 176 works across computer science and engineering domains. Their work is characterized by a focus on improving image quality, fusion, and processing methodologies, often employing neural networks and machine learning models. This highlights a technical proficiency in both theoretical and applied aspects of imaging and pattern recognition systems.

Best Publications

  • NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

    Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang

  • Fast CU Splitting and Pruning for Suboptimal CU Partitioning in HEVC Intra Coding

    Seunghyun Cho;Munchurl Kim

  • A VOP generation tool: automatic segmentation of moving objects in image sequences based on spatio-temporal information

    Munchurl Kim;Jae Gark Choi;Daehee Kim;Hyung Lee

  • MPEG-7 Homogeneous Texture Descriptor

    Yong Man Ro;Munchurl Kim;Ho Kyung Kang;B.S. Manjunath

  • CNN-based in-loop filtering for coding efficiency improvement

    Woon-Sung Park;Munchurl Kim

  • PIRM challenge on perceptual image enhancement on smartphones: Report

    Andrey Ignatov;Radu Timofte;Thang Van Vu;Tung Minh Luu

  • A Novel Fast CU Encoding Scheme Based on Spatiotemporal Encoding Parameters for HEVC Inter Coding

    Sangsoo Ahn;Bumshik Lee;Munchurl Kim

  • A Deep Convolutional Neural Network with Selection Units for Super-Resolution

    Jae-Seok Choi;Munchurl Kim

  • A Novel Image Quality Assessment With Globally and Locally Consilient Visual Quality Perception

    Sung-Ho Bae;Munchurl Kim

  • Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications

    Soo Ye Kim;Jihyong Oh;Munchurl Kim

  • A Frame-Level Rate Control Scheme Based on Texture and Nontexture Rate Models for High Efficiency Video Coding

    Bumshik Lee;Munchurl Kim;Truong Q. Nguyen

  • Assessments of Subjective Video Quality on HEVC-Encoded 4K-UHD Video for Beyond-HDTV Broadcasting Services

    Sung-Ho Bae;Jaeil Kim;Munchurl Kim;Sukhee Cho

  • A Real-Time Convolutional Neural Network for Super-Resolution on FPGA With Applications to 4K UHD 60 fps Video Services

    Yongwoo Kim;Jae-Seok Choi;Munchurl Kim

  • An HEVC-Compliant Perceptual Video Coding Scheme Based on JND Models for Variable Block-Sized Transform Kernels

    Jaeil Kim;Sung-Ho Bae;Munchurl Kim

  • Moving object segmentation in video sequences by user interaction and automatic object tracking

    Munchurl Kim;Jun Geun Jeon;Jinsuk Kwak;Myoung Ho Lee

  • Apparatus and method for transmitting meta data synchronized to multimedia contents

    Sang-Woo Ahn;Jin-Soo Choi;Jin-Woong Kim;Mun-Churl Kim

  • KOALAnet: Blind Super-Resolution using Kernel-Oriented Adaptive Local Adjustment

    Soo Ye Kim;Hyeonjun Sim;Munchurl Kim

  • NTIRE 2020 challenge on nonhomogeneous dehazing

    Codruta O. Ancuti;Cosmin Ancuti;Florin-Alexandru Vasluianu;Radu Timofte

  • Visual content adaptation according to user perception characteristics

    J. Nam;Yong Man Ro;Y. Huh;M. Kim

  • A Novel Generalized DCT-Based JND Profile Based on an Elaborate CM-JND Model for Variable Block-Sized Transforms in Monochrome Images

    Sung-Ho Bae;Munchurl Kim

  • An Automatic Recommendation Scheme of TV Program Contents for (IP)TV Personalization

    Eunhui Kim;Shinjee Pyo;Eunkyung Park;Munchurl Kim

  • A Novel DCT-Based JND Model for Luminance Adaptation Effect in DCT Frequency

    Sung-Ho Bae;M. Kim

Frequent Co-Authors

Yong Man Ro
Yong Man Ro Korea Advanced Institute of Science and Technology
Radu Timofte
Radu Timofte University of Wurzburg
Chao Dong
Chao Dong Shenzhen Institutes of Advanced Technology
A. N. Rajagopalan
A. N. Rajagopalan Indian Institute of Technology Madras
Vishal Monga
Vishal Monga Pennsylvania State University
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Kyoung Mu Lee
Kyoung Mu Lee Seoul National University
Yanyun Qu
Yanyun Qu Xiamen University
Pengfei Zhu
Pengfei Zhu Tianjin University

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