Log in

   

MCL

Skip to content
  • People
    • Professor
    • Students
    • Alumni
  • Research
  • Publications
    • International Journals
    • International Conferences
    • Domestic Papers
    • Patents
    • Others
  • Courses
    • Undergraduate
    • Graduate
  • Communications
    • News
    • Weekly Seminar
    • Album

Research

MCL Research – deraining

Posted on 2014년 10월 17일

Posted in Research

Visual Tracking Using Pertinent Patch Selection and Masking

Posted on 2014년 7월 21일

Image for Visual Tracking Using Pertinent Patch Selection and Masking

Posted in Research

MCL Research – Contrast Enhancement

Posted on 2013년 11월 11일

Image for MCL Research – Contrast Enhancement

Posted in Research

Frame Rate Up-Conversion

Posted on 2013년 7월 22일

Posted in Research

MCL Research – Contrast Enhancement

Posted on 2013년 4월 1일

Image for MCL Research – Contrast Enhancement

Posted in Research

< Newer posts Older posts >

Recent Comments

  • seonholee on [Weekly] RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
  • junheumpark on Papers 12 & 13
  • seonholee on [Weekly] BubbleNets Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames
  • seonholee on [Weekly] Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition
  • HanUl Kim on No lectures on 12 September, 14 September

Recent Board

  • There is no seminar this week.
  • [Weekly] Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers
  • [Weekly] Improving Depth Completion via Depth Feature Upsampling
  • [Weekly] Denoising Vision Transformers
  • [Weekly] Degradation-Aware Feature Perturbation for All-in-One Image Restoration

Recent Posts

  • [CVPR2026] Obfuscation, Color Grading, and Age Estimation
  • [2025] 2026년 대학원생 모집
  • [2025] 여름방학 인턴 모집
  • [2024] Two JVCIR papers
  • [ECCV 2024] Lane detection and face obfuscation

Korea University | School of Electrical Engineering | Media Communications Laboratory | 개인정보처리방침
#405, New Engineering Building, Korea University, Anam-dong, Seongbuk-gu, Seoul, 136-713 Korea | +82-2-3290-3806