Search Results for author: Youngin Cho

Found 4 papers, 0 papers with code

WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting

no code implementations25 Oct 2022 Youngin Cho, Daejin Kim, Dongmin Kim, Mohammad Azam Khan, Jaegul Choo

Time series forecasting has become a critical task due to its high practicality in real-world applications such as traffic, energy consumption, economics and finance, and disease analysis.

Time Series Forecasting

Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization

no code implementations25 Oct 2022 Youngin Cho, Junsoo Lee, Soyoung Yang, Juntae Kim, Yeojeong Park, Haneol Lee, Mohammad Azam Khan, Daesik Kim, Jaegul Choo

Existing deep interactive colorization models have focused on ways to utilize various types of interactions, such as point-wise color hints, scribbles, or natural-language texts, as methods to reflect a user's intent at runtime.

Colorization Image Colorization

Residual Correction in Real-Time Traffic Forecasting

no code implementations12 Sep 2022 Daejin Kim, Youngin Cho, Dongmin Kim, Cheonbok Park, Jaegul Choo

Extensive experiments on METR-LA and PEMS-BAY demonstrate that our ResCAL can correctly capture the correlation of errors and correct the failures of various traffic forecasting models in event situations.

Mining Multi-Label Samples from Single Positive Labels

no code implementations12 Jun 2022 Youngin Cho, Daejin Kim, Mohammad Azam Khan, Jaegul Choo

Therefore, in this study we explore the practical setting called the single positive setting, where each data instance is annotated by only one positive label with no explicit negative labels.

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