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Kwanghoon Sohn

Kwanghoon Sohn

D-Index & Metrics

Computer Science

D-Index
51
Citations
8467
World Ranking
5422
National Ranking
36

Overview

Kwanghoon Sohn is affiliated with Yonsei University in South Korea and has contributed extensively to the field of computer science, with a focus on computer vision and image processing. Their research spans several specialized areas including advanced vision and imaging, domain adaptation, few-shot learning, multimodal machine learning applications, and human pose and action recognition.

The scientist's work includes notable publications in prominent venues, which include:

  • Unsupervised Deep Image Fusion With Structure Tensor Representations, 2020, IEEE Transactions on Image Processing
  • Unsupervised Low-Light Image Enhancement Using Bright Channel Prior, 2020, IEEE Signal Processing Letters
  • Multi-Modal Recurrent Attention Networks for Facial Expression Recognition, 2020, IEEE Transactions on Image Processing
  • Pin the Memory: Learning to Generalize Semantic Segmentation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Stereoscopic Image Super-Resolution with Stereo Consistent Feature, 2020, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent co-authors collaborating with Kwanghoon Sohn include:

  • Dongbo Min
  • Seungryong Kim
  • Sunok Kim
  • Jungin Park
  • Jiyoung Lee

Publications by Kwanghoon Sohn have appeared repeatedly in a set of key venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • IEEE Geoscience and Remote Sensing Letters
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence

The main field of study for this scientist is computer science, with significant contributions to subfields including computer vision and pattern recognition, artificial intelligence, aerospace engineering, media technology, and radiology, nuclear medicine, and imaging.

The main research topics covered in their work include:

  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Domain Adaptation and Few-Shot Learning
  • Image Enhancement Techniques
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition

Best Publications

  • Fast global image smoothing based on weighted least squares.

    Dongbo Min;Sunghwan Choi;Jiangbo Lu;Bumsub Ham

  • Real-time illumination invariant lane detection for lane departure warning system

    Jongin Son;Hunjae Yoo;Sanghoon Kim;Kwanghoon Sohn

  • Gradient-Enhancing Conversion for Illumination-Robust Lane Detection

    Hunjae Yoo;Ukil Yang;Kwanghoon Sohn

  • Context-Aware Emotion Recognition Networks

    Jiyoung Lee;Seungryong Kim;Sunok Kim;Jungin Park

  • Apparatus for encoding a multi-view moving picture

    Kwang Hoon Sohn;Jeong Eun Lim;Byeong Ho Choi;Je Woo Kim

  • Cost Aggregation and Occlusion Handling With WLS in Stereo Matching

    Dongbo Min;Kwanghoon Sohn

  • Unsupervised Deep Image Fusion With Structure Tensor Representations

    Hyungjoo Jung;Youngjung Kim;Hyunsung Jang;Namkoo Ha

  • Visual Fatigue Prediction for Stereoscopic Image

    Donghyun Kim;Kwanghoon Sohn

  • FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence

    Seungryong Kim;Dongbo Min;Bumsub Ham;Sangryul Jeon

  • FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence

    Seungryong Kim;Dongbo Min;Bumsub Ham;Stephen Lin

  • No-Reference Quality Assessment for Stereoscopic Images Based on Binocular Quality Perception

    Seungchul Ryu;Kwanghoon Sohn

  • Deinterlacing using directional interpolation and motion compensation

    O. Kwon;Kwanghoon Sohn;Chulhee Lee

  • Unified multi-spectral pedestrian detection based on probabilistic fusion networks

    Kihong Park;Seungryong Kim;Kwanghoon Sohn

  • Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image via Joint Convolutional Neural Fields

    Seungryong Kim;Kihong Park;Kwanghoon Sohn;Stephen Lin

  • Deep Monocular Depth Estimation via Integration of Global and Local Predictions.

    Youngjung Kim;Hyungjoo Jung;Dongbo Min;Kwanghoon Sohn

  • DASC: Dense adaptive self-correlation descriptor for multi-modal and multi-spectral correspondence

    Seungryong Kim;Dongbo Min;Bumsub Ham;Seungchul Ryu

  • A Stereoscopic Video Generation Method Using Stereoscopic Display Characterization and Motion Analysis

    Donghyun Kim;Dongbo Min;Kwanghoon Sohn

  • Interpolation using neural networks for digital still cameras

    Jinwook Go;Kwanghoon Sohn;Chulhee Lee

  • Fast Disparity and Motion Estimation for Multi-view Video Coding

    Yongtae Kim;Jiyoung Kim;Kwanghoon Sohn

  • Pin the Memory: Learning to Generalize Semantic Segmentation

    Unknown

  • Bridge to Answer: Structure-aware Graph Interaction Network for Video Question Answering

    Jungin Park;Jiyoung Lee;Kwanghoon Sohn

Frequent Co-Authors

Dongbo Min
Dongbo Min Ewha Womans University
Stephen Lin
Stephen Lin Microsoft Research Asia (China)
Minh N. Do
Minh N. Do University of Illinois at Urbana-Champaign
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University
King Ngi Ngan
King Ngi Ngan University of Electronic Science and Technology of China
Kar-Ann Toh
Kar-Ann Toh Yonsei University
Adrian Hilton
Adrian Hilton University of Surrey
Jaihie Kim
Jaihie Kim Yonsei University
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Stefano Mattoccia
Stefano Mattoccia University of Bologna

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