World's Best Scientists 2026 revealed!

Overview

Dongbo Min is affiliated with Ewha Womans University in South Korea and has contributed extensively to the field of Computer Science, with a strong focus on Computer Vision and Pattern Recognition. They have published a total of 87 works within this discipline, with subfields including Artificial Intelligence, Media Technology, Aerospace Engineering, and Civil and Structural Engineering.

Their research topics cover a range of areas including:

  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Image Enhancement Techniques
  • Image Processing Techniques and Applications

Dongbo Min's frequent publication venues reflect a focus on computer vision and image processing communities. These venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Access
  • IEEE Transactions on Image Processing
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Recent notable papers authored or co-authored by Dongbo Min include:

  • Comprehensive Survey of Recent Drug Discovery Using Deep Learning (2021), published in International Journal of Molecular Sciences
  • Unsupervised Low-Light Image Enhancement Using Bright Channel Prior (2020), published in IEEE Signal Processing Letters
  • Pin the Memory: Learning to Generalize Semantic Segmentation (2022), published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • KNN Local Attention for Image Restoration (2022), published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Deep monocular depth estimation leveraging a large-scale outdoor stereo dataset (2021), published in Expert Systems with Applications

Collaboration is an integral aspect of Dongbo Min's research activities. Frequent co-authors include:

  • Kwanghoon Sohn
  • Seungryong Kim
  • Hyesong Choi
  • Hunsang Lee

This network of collaborators suggests sustained partnerships contributing to research outputs in related fields, especially computer vision and image processing.

Best Publications

  • Fast global image smoothing based on weighted least squares.

    Dongbo Min;Sunghwan Choi;Jiangbo Lu;Bumsub Ham

  • Depth Video Enhancement Based on Weighted Mode Filtering

    Dongbo Min;Jiangbo Lu;M. N. Do

  • Cross-Scale Cost Aggregation for Stereo Matching

    Kang Zhang;Yuqiang Fang;Dongbo Min;Lifeng Sun

  • Cross-based local multipoint filtering

    Jiangbo Lu;Keyang Shi;Dongbo Min;Liang Lin

  • Patch Match Filter: Efficient Edge-Aware Filtering Meets Randomized Search for Fast Correspondence Field Estimation

    Jiangbo Lu;Hongsheng Yang;Dongbo Min;Minh N. Do

  • Cost Aggregation and Occlusion Handling With WLS in Stereo Matching

    Dongbo Min;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

  • A revisit to cost aggregation in stereo matching: How far can we reduce its computational redundancy?

    Dongbo Min;Jiangbo Lu;Minh N. Do

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

    Youngjung Kim;Hyungjoo Jung;Dongbo Min;Kwanghoon Sohn

  • A revisit to MRF-based depth map super-resolution and enhancement

    Jiangbo Lu;Dongbo Min;Ramanpreet Singh Pahwa;Minh N. Do

  • High-level synthesis: productivity, performance, and software constraints

    Yun Liang;Kyle Rupnow;Yinan Li;Dongbo Min

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

    Seungryong Kim;Dongbo Min;Bumsub Ham;Seungchul Ryu

  • Fast guided global interpolation for depth and motion

    Yu Li;Dongbo Min;Minh N. Do;Jiangbo Lu

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

    Donghyun Kim;Dongbo Min;Kwanghoon Sohn

  • SPM-BP: Sped-Up PatchMatch Belief Propagation for Continuous MRFs

    Yu Li;Dongbo Min;Michael S. Brown;Minh N. Do

  • Recurrent Transformer Networks for Semantic Correspondence

    Seungryong Kim;Stephen Lin;Sang Ryul Jeon;Dongbo Min

  • Comprehensive Survey of Recent Drug Discovery Using Deep Learning.

    Jintae Kim;Sera Park;Dongbo Min;Wankyu Kim

  • Joint Histogram-Based Cost Aggregation for Stereo Matching

    Dongbo Min;Jiangbo Lu;M. N. Do

  • Unsupervised Low-Light Image Enhancement Using Bright Channel Prior

    Hunsang Lee;Kwanghoon Sohn;Dongbo Min

Frequent Co-Authors

Kwanghoon Sohn
Kwanghoon Sohn Yonsei University
Minh N. Do
Minh N. Do University of Illinois at Urbana-Champaign
Jiangbo Lu
Jiangbo Lu SmartMore Corporation
Stephen Lin
Stephen Lin Microsoft Research Asia (China)
Anthony Vetro
Anthony Vetro Mitsubishi Electric (United States)
Shiqiang Yang
Shiqiang Yang Tsinghua University
Qi Tian
Qi Tian Huawei Technologies (China)
Stefano Mattoccia
Stefano Mattoccia University of Bologna
Stefan Winkler
Stefan Winkler National University of Singapore
Deming Chen
Deming Chen University of Illinois at Urbana-Champaign

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

If you're exploring computer science studies in the USA, many related fields offer flexible online degree options that can expand your skill set and open new career pathways. For students interested in engineering principles, an online degree in mechanical engineering can provide a strong foundation for work in robotics, manufacturing, or product design.

Those with a passion for understanding natural laws and complex systems might consider an online bachelor's degree in physics. This pathway is ideal for careers in data analysis, scientific research, and emerging tech sectors.

For advanced study, the cheapest master in data science programs can help you break into rapidly growing fields like machine learning, artificial intelligence, and big data analytics.

Aspiring engineers may also pursue an online master’s in electrical engineering degree to specialize in areas such as communications, power systems, or emerging smart technologies. These flexible online programs allow you to balance your studies with work or life commitments while preparing for dynamic STEM careers.

Best Scientists Citing Dongbo Min

Trending Scientists

Recently Published Articles