Search Results for author: Sungho Lee

Found 8 papers, 3 papers with code

Beat-Aligned Spectrogram-to-Sequence Generation of Rhythm-Game Charts

no code implementations22 Nov 2023 Jayeon Yi, Sungho Lee, Kyogu Lee

In the heart of "rhythm games" - games where players must perform actions in sync with a piece of music - are "charts", the directives to be given to players.

Exploiting Time-Frequency Conformers for Music Audio Enhancement

no code implementations24 Aug 2023 Yunkee Chae, Junghyun Koo, Sungho Lee, Kyogu Lee

With the proliferation of video platforms on the internet, recording musical performances by mobile devices has become commonplace.

Speech Enhancement

Global HRTF Interpolation via Learned Affine Transformation of Hyper-conditioned Features

1 code implementation6 Apr 2022 Jin Woo Lee, Sungho Lee, Kyogu Lee

Especially for the data-driven approaches, existing HRTF datasets differ in spatial sampling distributions of source positions, posing a major problem when generalizing the method across multiple datasets.

Position

Enhanced Correlation Matching based Video Frame Interpolation

no code implementations17 Nov 2021 Sungho Lee, Narae Choi, Woong Il Choi

Considering the extensibility of the network model according to resolution, the proposed scheme employs the recurrent pyramid architecture that shares the parameters among each pyramid layer for optical flow estimation.

Optical Flow Estimation Video Frame Interpolation

Ensuring Data Freshness for Blockchain-enabled Monitoring Networks

no code implementations12 Nov 2020 Minsu Kim, Sungho Lee, Chanwon Park, Jemin Lee, Walid Saad

The age of information (AoI) is a recently proposed metric for quantifying data freshness in real-time status monitoring systems where timeliness is of importance.

Age of Information Analysis in Hyperledger Fabric Blockchain-enabled Monitoring Networks

no code implementations28 Oct 2020 Minsu Kim, Sungho Lee, Chanwon Park, Jemin Lee

In this paper, we explore the data freshness in the Hyperledger Fabric Blockchain-enabled monitoring network (HeMN) by leveraging the AoI metric.

Copy-and-Paste Networks for Deep Video Inpainting

1 code implementation ICCV 2019 Sungho Lee, Seoung Wug Oh, DaeYeun Won, Seon Joo Kim

We propose a novel DNN-based framework called the Copy-and-Paste Networks for video inpainting that takes advantage of additional information in other frames of the video.

Image Inpainting Lane Detection +1

Onion-Peel Networks for Deep Video Completion

1 code implementation ICCV 2019 Seoung Wug Oh, Sungho Lee, Joon-Young Lee, Seon Joo Kim

Given a set of reference images and a target image with holes, our network fills the hole by referring the contents in the reference images.

Video Inpainting

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