World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5153
World Ranking
10853
National Ranking
126

Research.com Recognitions

  • 2018 - ACM Senior Member

Overview

Sung-Eui Yoon is affiliated with the Korea Advanced Institute of Science and Technology in South Korea. Their research spans several fields including Computer Science and Engineering, with a particular focus on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Biomedical Engineering, and Computer Graphics and Computer-Aided Design.

The research topics covered by Sung-Eui Yoon involve:

  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Computer Graphics and Visualization Techniques
  • Image and Signal Denoising Methods
  • Music and Audio Processing
  • Advanced Neural Network Applications
  • Medical Image Segmentation Techniques

Among the frequent co-authors collaborating with Sung-Eui Yoon are Yuchi Huo, Woobin Im, Woo Jae Kim, Yoonki Cho, and Youngsun Kwon.

Research works have been published primarily in venues such as:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • SSRN Electronic Journal
  • IEEE Robotics and Automation Letters
  • IEEE Transactions on Visualization and Computer Graphics

Notable recent papers include:

  • "Part-based Pseudo Label Refinement for Unsupervised Person Re-identification," 2022, published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "A survey on deep learning-based Monte Carlo denoising," 2021, published in Computational Visual Media
  • "Adaptive Incident Radiance Field Sampling and Reconstruction Using Deep Reinforcement Learning," 2020, published in ACM Transactions on Graphics
  • "Physically-inspired Deep Light Estimation from a Homogeneous-Material Object for Mixed Reality Lighting," 2020, published in IEEE Transactions on Visualization and Computer Graphics
  • "Diffraction- and Reflection-Aware Multiple Sound Source Localization," 2021, published in IEEE Transactions on Robotics

Sung-Eui Yoon received the ACM Senior Member award in 2018.

Best Publications

  • Spherical hashing

    Jae-Pil Heo;Youngwoon Lee;Junfeng He;Shih-Fu Chang

  • Part-based Pseudo Label Refinement for Unsupervised Person Re-identification

    Unknown

  • RT-DEFORM: Interactive Ray Tracing of Dynamic Scenes using BVHs

    C. Lauterbach;S.-E. Yoon;D. Tuft;D. Manocha

  • ICCD: Interactive Continuous Collision Detection between Deformable Models Using Connectivity-Based Culling

    Min Tang;S. Curtis;Sung-Eui Yoon;D. Manocha

  • Interactive continuous collision detection between deformable models using connectivity-based culling

    Min Tang;Sean Curtis;Sung-Eui Yoon;Dinesh Manocha

  • Recent Advances in Adaptive Sampling and Reconstruction for Monte Carlo Rendering

    M. Zwicker;W. Jarosz;J. Lehtinen;B. Moon

  • Cache-oblivious mesh layouts

    Sung-Eui Yoon;Peter Lindstrom;Valerio Pascucci;Dinesh Manocha

  • Adaptive rendering based on weighted local regression

    Bochang Moon;Nathan Carr;Sung-Eui Yoon

  • HPCCD: Hybrid Parallel Continuous Collision Detection using CPUs and GPUs

    Duksu Kim;Jae-Pil Heo;Jaehyuk Huh;John Kim

  • Quick-VDR: interactive view-dependent rendering of massive models

    Sung-Eui Yoon;Brian Salomon;Russell Gayle;Dinesh Manocha

  • Spherical Hashing: Binary Code Embedding with Hyperspheres

    Jae-Pil Heo;Youngwoon Lee;Junfeng He;Shih-Fu Chang

  • Cache-Efficient Layouts of Bounding Volume Hierarchies

    Sung Eui Yoon;Dinesh Manocha

  • Ray tracing dynamic scenes using selective restructuring

    Sung-Eui Yoon;Sean Curtis;Dinesh Manocha

  • Interactive visibility culling in complex environments using occlusion-switches

    Naga K. Govindaraju;Avneesh Sud;Sung-Eui Yoon;Dinesh Manocha

  • Warping and partitioning for low error shadow maps

    D. Brandon Lloyd;David Tuft;Sung-eui Yoon;Dinesh Manocha

  • Quick-VDR: Out-of-core view-dependent rendering of gigantic models

    Sung Eui Yoon;Brian Salomon;Russell Gayle;Dinesh Manocha

  • Single Image Reflection Removal With Physically-Based Training Images

    Soomin Kim;Yuchi Huo;Sung-Eui Yoon

  • Fast collision detection between massive models using dynamic simplification

    Sung-Eui Yoon;Brian Salomon;Ming Lin;Dinesh Manocha

  • Massive-Model Rendering Techniques: A Tutorial

    A. Dietrich;E. Gobbetti;Sung-Eui Yoon

  • Technical strategies for massive model visualization

    Enrico Gobbetti;Dave Kasik;Sung-eui Yoon

  • Interactive shadow generation in complex environments

    Naga K. Govindaraju;Brandon Lloyd;Sung-Eui Yoon;Avneesh Sud

  • Real-Time Massive Model Rendering

    Sung-Eui Yoon;Enrico Gobbetti;David J. Kasik;Dinesh Manocha

Frequent Co-Authors

Dinesh Manocha
Dinesh Manocha University of Maryland, College Park
Enrico Gobbetti
Enrico Gobbetti Center for Advanced Studies Research and Development in Sardinia
Philipp Slusallek
Philipp Slusallek Saarland University
Doheon Lee
Doheon Lee Korea Advanced Institute of Science and Technology
Yu-Wing Tai
Yu-Wing Tai Hong Kong University of Science and Technology
Naga K. Govindaraju
Naga K. Govindaraju Microsoft (United States)
Zhe Lin
Zhe Lin Adobe Systems (United States)
Peter Lindstrom
Peter Lindstrom Lawrence Livermore National Laboratory
Shih-Fu Chang
Shih-Fu Chang Columbia University
Matthias Zwicker
Matthias Zwicker University of Maryland, College Park

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

As the field of Computer Science continues to grow, online education is becoming a popular choice for students seeking flexibility and affordability. If you're interested in expanding your expertise, you might wonder: can you get a physics degree online? Many top universities now offer online physics programs, making it possible for students to earn a degree from anywhere.

For those focusing on data, pursuing the cheapest data science degree could be a smart decision. Affordable options allow students to gain industry-ready skills without taking on significant debt.

Engineering students can also benefit from distance learning. Some of the top online electrical engineering schools provide comprehensive training that can lead to lucrative careers, all from the comfort of your home.

If you’re seeking a faster route to employment, there are short certificate programs that pay well. These programs can often be completed in less time and can open doors to high-demand tech roles, making them a great option for career changers or individuals looking to quickly upskill.

Best Scientists Citing Sung-Eui Yoon

Trending Scientists

Recently Published Articles