Research - MCL - Media Communications Lab.

Research

MCL Research – Frame-Rate Up-Conversion

Posted on 2020년 8월 7일

Posted in Research

MCL Research – Single-Image Depth Estimation

Posted on 2020년 8월 7일

Posted in Featured, Research

MCL Research – Image Enhancement

Posted on 2020년 8월 3일

Posted in Research

MCL Research – Image Enhancement

Posted on 2020년 8월 3일

Posted in Featured, Research

MCL Research – Video Object Segmentation

Posted on 2020년 7월 17일

Posted in Featured, Research

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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

[Weekly] ColorFM: An Optimization-to-Learning Framework for Color Transfer via Flow Matching

[Weekly] Reasoning as Representation: Rethinking Visual Reinforcement Learning in Image Quality Assessment

There is no seminar this week.

[Weekly] Ultra-fast neural video compression

There is no seminar this week.

Recent Posts

MCL Research – Order Learning

MCL Research – Order Learning

MCL Research – Order Learning

MCL Research – Image Compression

[NeurIPS2026] Learned progressive image compression