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Ewha University

엘텍공과대학

민동보(閔東普) 부교수

컴퓨터공학전공 /인공지능학과

민동보 프로필 사진
Dongbo Min is an associate professor with the Department of Computer Science and Engineering, Ewha Womans University, Seoul, South Korea. He received the B.S., M.S., and Ph.D. degrees from the School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea, in 2003, 2005, and 2009, respectively. He was a post-doctoral researcher with the Mitsubishi Electric Research Laboratories, Cambridge, MA, USA, from 2009 to 2010. From 2010 to 2015, he was with the Advanced Digital Sciences Center, Singapore. From 2015 to 2018, he was an Assistant Professor with the Department of Computer Science and Engineering, Chungnam National University, Daejeon, South Korea. His current research interests include computer vision, 2D/3D video processing, computational photography, augmented reality, and continuous/discrete optimization. He is a senior member of IEEE.
  • 아산공학관 336호
  • 02-3277-6892
  • 연구관심분야
    • Computer Vision, Image Processing, Deep Learning, 3D Video Processing
연구실적
  • Cross-Scale KNN Image Transformer for Image Restoration IEEE Access, 2023, v.11, 13013-13027
    SCIE Scopus dColl.
  • Learning disentangled skills for hierarchical reinforcement learning through trajectory autoencoder with weak labels Expert Systems with Applications, 2023, v.230, 120625
    SCIE Scopus dColl.
  • Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge Distillation IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, v.45 no.5, 6372-6385
    SCIE Scopus dColl.
  • On the Confidence of Stereo Matching in a Deep-Learning Era: A Quantitative Evaluation IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, v.44 no.9, 5293-5313
    SCIE Scopus dColl.
  • Pyramidal Semantic Correspondence Networks IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, v.44 no.12, 9102-9118
    SCIE Scopus dColl.
  • Adversarial Confidence Estimation Networks for Robust Stereo Matching IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, v.22 no.11, 6875-6889
    SCIE Scopus dColl.
  • Comprehensive Survey of Recent Drug Discovery Using Deep Learning INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2021, v.22 no.18, 9983
    SCIE Scopus dColl.
  • Deep monocular depth estimation leveraging a large-scale outdoor stereo dataset Expert Systems with Applications, 2021, v.178, 114877
    SCIE Scopus dColl.
  • Dense Cross-Modal Correspondence Estimation with the Deep Self-Correlation Descriptor IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, v.43 no.7, 2345-2359
    SCIE Scopus dColl.
  • Discrete-Continuous Transformation Matching for Dense Semantic Correspondence IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, v.42 no.1, 59-73
    SCIE Scopus dColl.
  • Learning Deeply Aggregated Alternating Minimization for General Inverse Problems IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, v.29, 8012-8027
    SCIE Scopus dColl.
  • Single Image Deraining Using Time-Lapse Data IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, v.29, 7274-7289
    SCIE Scopus dColl.
  • Unsupervised Low-Light Image Enhancement Using Bright Channel Prior IEEE SIGNAL PROCESSING LETTERS, 2020, v.27, 251-255
    SCIE Scopus dColl.
  • FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2019, v.41 no.3, 581-595
    SCIE Scopus dColl.
  • Unified confidence estimation networks for robust stereo matching IEEE Transactions on Image Processing, 2019, v.28 no.3, 1299-1313
    SCIE Scopus dColl.
  • Deep Monocular Depth Estimation via Integration of Global and Local Predictions IEEE Transactions on Image Processing, 2018, v.27 no.8, 4131-4144
    SCIE Scopus dColl.
  • Fast 2D Complex Gabor Filter With Kernel Decomposition IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, v.27 no.4, 1713-1722
    SCIE Scopus dColl.
  • PARN: Pyramidal affine regression networks for dense semantic correspondence Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, v.11210 LNCS, 355-371
    Scopus dColl.
  • Cross-Scale Cost Aggregation for Stereo Matching IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2017, v.27 no.5, 965-976
    SCIE Scopus dColl.
  • DASC: Robust Dense Descriptor for Multi-Modal and Multi-Spectral Correspondence Estimation IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, v.39 no.9, 1712-1729
    SCIE Scopus dColl.
  • Fast Domain Decomposition for Global Image Smoothing IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, v.26 no.8, 4079-4091
    SCIE Scopus dColl.
  • Feature Augmentation for Learning Confidence Measure in Stereo Matching IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, v.26 no.12, 6019-6033
    SCIE Scopus dColl.
  • PatchMatch Filter: Edge-Aware Filtering Meets Randomized Search for Visual Correspondence IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, v.39 no.9, 1866-1879
    SCIE Scopus dColl.
  • EMCCD color correction based on spectral sensitivity analysis MULTIMEDIA TOOLS AND APPLICATIONS, 2016, v.75 no.13, 7589-7604
    SCIE Scopus dColl.
  • [학술지논문] On the Confidence of Stereo Matching in a Deep-Learning Era: A Quantitative Evaluation IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, v.44 no.9 , 5293-5313
    SCI
  • [학술지논문] Fast 2D Complex Gabor Filter With Kernel Decomposition IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, v.27 no.4 , 1713-1722
    SCI
  • [학술지논문] Cross-Scale Cost Aggregation for Stereo Matching IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2017, v.27 no.5 , 965-976
    SCI
  • [학술지논문] DASC: Robust Dense Descriptor for Multi-Modal and Multi-Spectral Correspondence Estimation IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, v.39 no.9 , 1712-1729
    SCI
  • [학술지논문] Fast Domain Decomposition for Global Image Smoothing IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, v.26 no.8 , 4079-4091
    SCI
  • [학술지논문] Feature Augmentation for Learning Confidence Measure in Stereo Matching IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, v.26 no.12 , 6019-6033
    SCI
  • [학술지논문] PatchMatch Filter: Edge-Aware Filtering Meets Randomized Search for Visual Correspondence IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, v.39 no.9 , 1866-1879
    SCI
  • [학술지논문] EMCCD color correction based on spectral sensitivity analysis MULTIMEDIA TOOLS AND APPLICATIONS, 2016, v.75 no.13 , 7589-7604
    SCIE
  • [학술지논문] Depth Analogy: Data-Driven Approach for Single Image Depth Estimation Using Gradient Samples IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, v.24 no.12 , 5953-5953
    SCI
  • [학술지논문] Depth Superresolution by Transduction IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, v.24 no.5 , 1524-1535
    SCI
  • [학술지논문] Unsupervised Texture Flow Estimation Using Appearance-space Clustering and Correspondence IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, v.24 no.11 , 3652-3665
    SCI
  • [학술지논문] Fast Global Image Smoothing Based on Weighted Least Squares IEEE TRANSACTIONS ON IMAGE PROCESSING, 2014, v.23 no.12 , 5638-5653
    SCI
  • [학술지논문] Probability-Based Rendering for View Synthesis IEEE TRANSACTIONS ON IMAGE PROCESSING, 2014, v.23 no.2 , 870-884
    SCI
  • [학술지논문] Reliability-Based Multiview Depth Enhancement Considering Interview Coherence IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2014, v.24 no.4 , 603-616
    SCI
  • [학술지논문] A Generalized Random Walk With Restart and Its Application in Depth Up-Sampling and Interactive Segmentation IEEE TRANSACTIONS ON IMAGE PROCESSING, 2013, v.22 no.7 , 2574-2588
    SCI
  • [학술지논문] Efficient Techniques for Depth Video Compression Using Weighted Mode Filtering IEEE Trans. on Circuits and Systems for Video Technology, 2013, v.23 no.2 , 189-202
    SCI
  • [학술지논문] Joint Histogram Based Cost Aggregation for Stereo Matching IEEE Trans. on Pattern Analysis and Machine Intelligence, 2013, v.35 no.10 , 2539-2545
    SCI
  • [학술지논문] Revisiting the Relationship Between Adaptive Smoothing and Anisotropic Diffusion with Modified Filters IEEE Trans. on Image Processing, 2013, v.22 no.3 , 1096-1107
    SCI
  • [학술지논문] Stereo/Multiview Picture Quality: Overview and Recent Advances SIGNAL PROCESSING-IMAGE COMMUNICATION, 2013, v.28 no.10 , 1358-1373
    SCI
  • [학술지논문] Depth Video Enhancement Based on Weighted Mode Filtering IEEE TRANSACTIONS ON IMAGE PROCESSING, 2012, v.21 no.3 , 1176-1190
    SCI
  • [학술지논문] Robust Scale-Space Filter Using Second-Order Partial Differential Equations IEEE TRANSACTIONS ON IMAGE PROCESSING, 2012, v.21 no.9 , 3937-3951
    SCI
  • [학술지논문] 2D-Plus-Depth Based Resolution and Frame-rate Up-conversion Technique for Depth Video IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2010, v.56 no.4 , 2489-2497
    SCI
  • [학술지논문] An asymmetric post-processing for correspondence problem SIGNAL PROCESSING-IMAGE COMMUNICATION, 2010, v.25 no.2 , 130-142
    SCI
  • [학술지논문] 2D/3D freeview video generation for 3DTV system SIGNAL PROCESSING-IMAGE COMMUNICATION, 2009, v.24 no.1 , 31-48
    SCI
  • [학술지논문] A 3D Modeling and Free-View Generation System Using Environmental Stereo Cameras Int. Journal of Imaging Systems and Technology, 2008, v.17 no.6 , 367-378
    SCI
  • [학술지논문] A stereoscopic video generation method using stereoscopic display characterization and motion analysis IEEE TRANSACTIONS ON BROADCASTING, 2008, v.54 no.2 , 188-197
    SCI
  • [학술지논문] Cost aggregation and occlusion handling with WLS in stereo matching IEEE TRANSACTIONS ON IMAGE PROCESSING, 2008, v.17 no.8 , 1431-1442
    SCI
  • [학술지논문] Edge-preserving joint motion-disparity estimation in stereo image sequences SIGNAL PROCESSING-IMAGE COMMUNICATION, 2006, v.21 no.3 , 252-271
    SCI
  • [학술지논문] Real-time disparity estimation using foreground segmentation for stereo sequences OPTICAL ENGINEERING, 2006, v.45 no.3 , 90-96
    SCI
강의
  • 2024-1학기

    • 프로그래밍을위한컴퓨팅적사고

      • 학수번호 11361분반 01
      • 학년 ( 3학점 , 3시간)
      • 원격강의 팀티칭
    • 의과학의현재와미래

      • 학수번호 37497분반 01
      • 2학년 ( 2학점 , 2시간) 금 6~7
      • 원격강의 의예1, 2 및 컴퓨터의학연계전공 이수자만 수강 가능, 팀티칭, 속강
    • SW자기설계학습Ⅰ

      • 학수번호 38082분반 01
      • 4학년 ( 3학점
      • 추가 개설, 도전학기 선발학생만 수강 가능
    • SW자기설계학습Ⅱ

      • 학수번호 38083분반 01
      • 4학년 ( 3학점
      • 추가 개설, 도전학기 선발학생만 수강 가능
  • 2023-2학기

    • 프로그래밍을위한컴퓨팅적사고 강의 계획서 상세보기

      • 학수번호 11361분반 01
      • 학년 ( 3학점 , 3시간)
      • 원격강의 팀티칭
    • 자료구조

      • 학수번호 20481분반 06
      • 2학년 ( 3학점 , 3시간) 월 3~3 (포465) , 수 2~2 (포465)
      • 전공필수,영어강의 추가 개설 합반 수업
    • 자료구조

      • 학수번호 39144분반 01
      • 2학년 ( 3학점 , 3시간) 월 3~3 (포465) , 수 2~2 (포465)
      • 전공필수,영어강의
    • 의학의이해Ⅱ

      • 학수번호 G18024분반 01
      • 학년 ( 3학점 , 3시간) 목 7~8
      • 원격강의
    • 컴퓨터비전개론

      • 학수번호 G18429분반 01
      • 학년 ( 3학점 , 3시간) 수 6~7 (공학)
      • 강의실변경
    • 의학의이해II

      • 학수번호 G18436분반 01
      • 학년 ( 3학점 , 3시간) 목 7~8
      • 원격강의
  • 2023-1학기

  • 2022-2학기

    • 정보기술과미래사회

      • 학수번호 11160분반 01
      • 학년 ( 3학점 , 3시간)
      • 원격강의 팀티칭
    • 프로그래밍을위한컴퓨팅적사고

      • 학수번호 11361분반 01
      • 학년 ( 3학점 , 3시간)
      • 원격강의 팀티칭
    • 자료구조

      • 학수번호 20481분반 03
      • 2학년 ( 3학점 , 3시간) 화 6~6 (공학A107) , 목 4~4 (공학A107)
      • 전공필수,영어강의 전공필수,삼성전자SW
    • 컴퓨터비전

      • 학수번호 G14338분반 01
      • 학년 ( 3학점 , 3시간) 수 4~5 (공학)
    • 의학의이해Ⅱ

      • 학수번호 G18024분반 01
      • 학년 ( 3학점 , 3시간) 목 7~8
      • 원격강의
    • 의학의이해II

      • 학수번호 G18436분반 01
      • 학년 ( 3학점 , 3시간) 목 7~8
      • 원격강의
  • 2022-1학기

    • 정보기술과미래사회

      • 학수번호 11160분반 01
      • 학년 ( 3학점 , 3시간)
      • 원격강의 팀티칭
    • 프로그래밍을위한컴퓨팅적사고

      • 학수번호 11361분반 01
      • 학년 ( 3학점 , 3시간)
      • 원격강의
    • 오픈SW프로젝트

      • 학수번호 37269분반 01
      • 3학년 ( 3학점 , 3시간) 화 5~5 (공학) , 목 6~6 (163)
      • 영어강의
    • 의과학의현재와미래

      • 학수번호 37497분반 01
      • 2학년 ( 2학점 , 2시간) 화 6~7
      • 의예2, 팀티칭, 속강
    • 컴퓨터비전특론

      • 학수번호 G17617분반 01
      • 학년 ( 3학점 , 3시간) 목 2~3
  • 2021-2학기

    • 정보기술과미래사회

      • 학수번호 11160분반 01
      • 학년 ( 3학점 , 3시간)
      • 원격강의 팀티칭
    • 프로그래밍을위한컴퓨팅적사고

      • 학수번호 11361분반 01
      • 학년 ( 3학점 , 3시간)
      • 원격강의 팀티칭
    • 자료구조

      • 학수번호 20481분반 03
      • 2학년 ( 3학점 , 3시간) 화 6~6 , 목 4~4
      • 전공필수,영어강의 전공필수,삼성전자SW
    • 컴퓨터비전

      • 학수번호 G14338분반 01
      • 학년 ( 3학점 , 3시간) 목 2~3 (공학)
    • 의학의이해Ⅱ

      • 학수번호 G18024분반 01
      • 학년 ( 3학점 , 3시간) 목 7~8
  • 2021-1학기

    • 정보기술과미래사회

      • 학수번호 11160분반 01
      • 학년 ( 3학점 , 3시간)
      • 원격강의 CUBE(콘텐츠), 팀티칭
    • 프로그래밍을위한컴퓨팅적사고

      • 학수번호 11361분반 01
      • 학년 ( 3학점 , 3시간)
      • 원격강의 팀티칭
    • 오픈SW프로젝트

      • 학수번호 37269분반 01
      • 3학년 ( 3학점 , 3시간) 화 6~6 , 목 4~4
      • 영어강의
    • 의과학의현재와미래

      • 학수번호 37497분반 01
      • 2학년 ( 2학점 , 2시간) 화 6~7 (종D)
      • 의예과/휴먼기계바이오공학부/전공특화소프트웨어융합전공 외 수강 불가
    • 컴퓨터비전특론

      • 학수번호 G17617분반 01
      • 학년 ( 3학점 , 3시간) 수 2~3 (공학)
학력

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