World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5730
World Ranking
10769
National Ranking
125

Overview

Yo-Sung Ho is affiliated with the Gwangju Institute of Science and Technology in South Korea. Their research primarily falls within the field of Computer Science, with a strong focus on Computer Vision and Pattern Recognition. Their body of work spans 115 publications, reflecting specialization in areas such as Image Enhancement Techniques, Visual Attention and Saliency Detection, and Image and Video Quality Assessment.

The scientist's work addresses advanced topics including:

  • Image Enhancement Techniques
  • Visual Attention and Saliency Detection
  • Image and Video Quality Assessment
  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Advanced Image Fusion Techniques
  • Optical measurement and interference techniques

Their frequent coauthors include:

  • Feng Shao (30 joint publications)
  • Qiuping Jiang (27 joint publications)
  • Xiongli Chai (19 joint publications)
  • Hangwei Chen (16 joint publications)
  • Gangyi Jiang (14 joint publications)

Yo-Sung Ho has contributed extensively to several notable publication venues, including:

  • IEEE Transactions on Circuits and Systems for Video Technology (12 publications)
  • IEEE Transactions on Multimedia (12 publications)
  • IEEE Transactions on Instrumentation and Measurement (7 publications)
  • IEEE Transactions on Image Processing (2 publications)
  • Information Fusion (2 publications)

Among the recent publications associated with Yo-Sung Ho are:

  • "Cross-Modality Double Bidirectional Interaction and Fusion Network for RGB-T Salient Object Detection" (2023) published in IEEE Transactions on Circuits and Systems for Video Technology
  • "Modality-Induced Transfer-Fusion Network for RGB-D and RGB-T Salient Object Detection" (2022) published in IEEE Transactions on Circuits and Systems for Video Technology
  • "CGMDRNet: Cross-Guided Modality Difference Reduction Network for RGB-T Salient Object Detection" (2022) published in IEEE Transactions on Circuits and Systems for Video Technology
  • "Blind Image Quality Measurement by Exploiting High-Order Statistics With Deep Dictionary Encoding Network" (2020) published in IEEE Transactions on Instrumentation and Measurement
  • "Stitched Wide Field of View Light Field Image Quality Assessment: Benchmark Database and Objective Metric" (2023) published in IEEE Transactions on Multimedia

The research extensively covers topics related to saliency detection involving multiple imaging modalities such as RGB-Thermal and RGB-Depth data fusion. The work also explores techniques in image quality measurement and light field image quality assessment, reflecting expertise in both classical and evolving imaging technologies.

Best Publications

  • Hole filling method using depth based in-painting for view synthesis in free viewpoint television and 3-D video

    Kwan-Jung Oh;Sehoon Yea;Yo-Sung Ho

  • 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

  • Reversiblee Image Authentication Based on Watermarking

    Sang-Kwang Lee;Young-Ho Suh;Yo-Sung Ho

  • Method and apparatus for generating multi-viewpoint depth map, method for generating disparity of multi-viewpoint image

    Yo-Sung Ho;Eun-Kyung Lee;Sung-Yeol Kim

  • Content-based event retrieval using semantic scene interpretation for automated traffic surveillance

    Young-Kee Jung;Kyu-Won Lee;Yo-Sung Ho

  • Automatic liver segmentation for volume measurement in CT Images

    Unknown

  • Apparatus and method of depth coding using prediction mode

    Il Soon Lim;Yo Sung Ho;Jae Joon Lee;Min Koo Kang

  • Unified No-Reference Quality Assessment of Singly and Multiply Distorted Stereoscopic Images

    Qiuping Jiang;Feng Shao;Wei Gao;Zhuo Chen

  • Device and method for estimating depth map, and method for generating intermediate image and method for encoding multi-view video using the same

    Yo Sung Ho;Sang Beom Lee;Kwang Jung Oh

  • Depth Reconstruction Filter and Down/Up Sampling for Depth Coding in 3-D Video

    Kwan-Jung Oh;Sehoon Yea;A. Vetro;Yo-Sung Ho

  • Asymmetric Coding of Multi-View Video Plus Depth Based 3-D Video for View Rendering

    Feng Shao;Gangyi Jiang;Mei Yu;Ken Chen

  • Depth Coding Using a Boundary Reconstruction Filter for 3-D Video Systems

    Kwan-Jung Oh;A Vetro;Yo-Sung Ho

  • H.264-Based Depth Map Sequence Coding Using Motion Information of Corresponding Texture Video

    Unknown

  • Classified transform coding of images using vector quantization

    Y.-S. Ho;A. Gersho

  • CGMDRNet: Cross-Guided Modality Difference Reduction Network for RGB-T Salient Object Detection

    Unknown

  • Cross-Modality Double Bidirectional Interaction and Fusion Network for RGB-T Salient Object Detection

    Unknown

  • Modality-Induced Transfer-Fusion Network for RGB-D and RGB-T Salient Object Detection

    Unknown

  • Bit allocation for MPEG-4 video coding with spatio-temporal tradeoffs

    Jeong-Woo Lee;A. Vetro;Yao Wang;Yo-Sung Ho

  • Traffic parameter extraction using video-based vehicle tracking

    Unknown

  • Variable-rate multi-stage vector quantization for image coding

    Y.-S. Ho;A. Gersho

  • Overview of Multi-view Video Coding

    Unknown

  • A Framework for Haptic Broadcasting

    Jongeun Cha;Yo-Sung Ho;Yeongmi Kim;Jeha Ryu

  • Virtual view synthesis method and self‐evaluation metrics for free viewpoint television and 3D video

    Kwan‐Jung Oh;Sehoon Yea;Anthony Vetro;Yo‐Sung Ho

  • An efficient image rectification method for parallel multi-camera arrangement

    Unknown

  • Advances in Multimedia Information Processing - PCM 2005

    Yo-Sung Ho;Hyoung Joong Kim

  • Motion-compensated compression of 3D animation models

    Jeong Hwan Ahn;Chang Su Kim;C. C. Jay Kuo;Yo Sung Ho

  • Multiple Color and Depth Video Coding Using a Hierarchical Representation

    Unknown

  • An Efficient Rectification Algorithm for Multi-View Images in Parallel Camera Array

    Unknown

  • Blind Image Quality Measurement by Exploiting High-Order Statistics With Deep Dictionary Encoding Network

    Qiuping Jiang;Wei Gao;Shiqi Wang;Guanghui Yue

  • Automated Quality Assessment of Fundus Images via Analysis of Illumination, Naturalness and Structure

    Feng Shao;Yan Yang;Qiuping Jiang;Gangyi Jiang

  • Method of computing disparity, method of synthesizing interpolation view, method of encoding and decoding multi-view video using the same, and encoder and decoder using the same

    Yo Sung Ho;Cheon Lee;Kwan Jung Oh;Byeong Ho Choi

Frequent Co-Authors

Feng Shao
Feng Shao Ningbo University
Hyoung Joong Kim
Hyoung Joong Kim Korea University
Sam Kwong
Sam Kwong Lingnan University
Anthony Vetro
Anthony Vetro Mitsubishi Electric (United States)
Chang-Su Kim
Chang-Su Kim Korea University
Woontack Woo
Woontack Woo Korea Advanced Institute of Science and Technology
Eun-Soo Kim
Eun-Soo Kim Kwangwoon University
Ke Gu
Ke Gu Beijing University of Technology
Yao Wang
Yao Wang New York University
C.-C. Jay Kuo
C.-C. Jay Kuo University of Southern California

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