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Computer Science

D-Index
39
Citations
6219
World Ranking
9787
National Ranking
104

Overview

Nam Ik Cho is a researcher affiliated with Seoul National University in South Korea. Their work is primarily situated within the fields of Computer Science and Engineering, with a significant focus on Computer Vision and Pattern Recognition.

Their research covers various specialized areas including Advanced Image Processing Techniques, Advanced Vision and Imaging, Image and Signal Denoising Methods, Image Processing Techniques and Applications, and Image Enhancement Techniques. Additional areas of interest include Advanced Image and Video Retrieval Techniques and Image Retrieval and Classification Techniques.

Nam Ik Cho has contributed extensively to academic literature, with frequent publications in multiple venues. The most common venues for their work include:

  • arXiv (Cornell University)
  • IEEE Access
  • Multimedia Tools and Applications
  • IEEE Signal Processing Letters
  • 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)

Their collaborative network includes frequent coauthors such as Jae Woong Soh, Hyung Il Koo, Young Kyun Jang, Yeong Il Jang, and Hochang Rhee. These collaborations suggest a strong engagement in team research within their field.

The following are some of Nam Ik Cho's recent papers, highlighting their contribution to image processing and computer vision topics:

  • "A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-Resolution," 2021, IEEE Transactions on Multimedia
  • "Self-supervised Product Quantization for Deep Unsupervised Image Retrieval," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Variational Deep Image Restoration," 2022, IEEE Transactions on Image Processing
  • "Multi-Lingual Optical Character Recognition System Using the Reinforcement Learning of Character Segmenter," 2020, IEEE Access
  • "AGARNet: Adaptively Gated JPEG Compression Artifacts Removal Network for a Wide Range Quality Factor," 2020, IEEE Access

Best Publications

  • Fast algorithm and implementation of 2-D discrete cosine transform

    Nam Ik Cho;San Uk Lee

  • Meta-Transfer Learning for Zero-Shot Super-Resolution

    Jae Woong Soh;Sunwoo Cho;Nam Ik Cho

  • Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization

    Yoonsik Kim;Jae Woong Soh;Gu Yong Park;Nam Ik Cho

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

    N.I. Cho;S.U. Lee

  • Adaptive line enhancement by using an IIR lattice notch filter

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

  • A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-Resolution

    Unknown

  • Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination

    Jae Woong Soh;Gu Yong Park;Junho Jo;Nam Ik Cho

  • Improved linear soft-input soft-output detection via soft feedback successive interference cancellation

    Jun Won Choi;A.C. Singer;Jungwoo Lee;Nam Ik Cho

  • DCT algorithms for VLSI parallel implementations

    Nam Ik Cho;Sang Uk Lee

  • Apparatus and method for adapting 2d and 3d stereoscopic video signal

    Jeho Nam;Man Bae Kim;Jin Woo Hong;Jin Woong Kim

  • METHOD FOR PHOTOGRAPHING PANORAMA MOSAICS PICTURE IN MOBILE DEVICE

    Park Kyoung Ju;Cho Sung Dae;Kim Soo Kyun;Moon Jae Won

  • A fast 4*4 DCT algorithm for the recursive 2-D DCT

    N.I. Cho;S.U. Lee

  • A Multi-Exposure Image Fusion Based on the Adaptive Weights Reflecting the Relative Pixel Intensity and Global Gradient

    Sang-hoon Lee;Jae Sung Park;Nam Ik Cho

  • Suppression of narrow-band interference in DS-Spread spectrum systems using adaptive IIR Notch filter

    Jun Won Choi;Nam Ik Cho

  • Panorama Mosaic Optimization for Mobile Camera Systems

    Seong Jong Ha;Hyung Koo;Sang Hwa Lee;Nam Ik Cho

  • PuVAE: A Variational Autoencoder to Purify Adversarial Examples

    Uiwon Hwang;Jaewoo Park;Hyemi Jang;Sungroh Yoon

  • Language-Independent Text-Line Extraction Algorithm for Handwritten Documents

    Jewoong Ryu;Hyung Il Koo;Nam Ik Cho

  • Variational Deep Image Restoration

    Unknown

  • Hierarchical Prediction and Context Adaptive Coding for Lossless Color Image Compression

    Seyun Kim;Nam Ik Cho

  • Intra prediction method based on the linear relationship between the channels for YUV 4∶2∶0 intra coding

    Sang Heon Lee;Nam Ik Cho

  • Text-Line Extraction in Handwritten Chinese Documents Based on an Energy Minimization Framework

    Hyung Il Koo;Nam Ik Cho

  • Fixed-point error analysis of CORDIC processor based on the variance propagation formula

    Sang Yoon Park;Nam Ik Cho

Frequent Co-Authors

Sang Uk Lee
Sang Uk Lee Seoul National University
Andrew C. Singer
Andrew C. Singer University of Illinois at Urbana-Champaign
Byonghyo Shim
Byonghyo Shim Seoul National University
Sanjit K. Mitra
Sanjit K. Mitra University of California, Santa Barbara
Sungroh Yoon
Sungroh Yoon Seoul National University
Naehyuck Chang
Naehyuck Chang Korea Advanced Institute of Science and Technology
Eunji Lee
Eunji Lee Gwangju Institute of Science and Technology
Chaitali Chakrabarti
Chaitali Chakrabarti Arizona State University
Heung Nam Han
Heung Nam Han Seoul National University
Kyu Hwan Oh
Kyu Hwan Oh Seoul National University

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