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Junghee Kim

2 accepted papers

2023

Multi-Resolution Sequence Aggregation and Model-Agnostic Framework for Time-Series Forecasting

ICASSP 2023accepted

In time-series forecasting, signals such as traffic volume collected in the real world are noisy and irregularly sampled due to sensor malfunctions, so it is difficult to make accurate prediction. To resolve such difficulty, downsampling can be used to reduce noise and allow capturing slow trend of…

Cited by 0SourceScholar
2021

End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure Images

AAAI 2021technical

Recently, high dynamic range (HDR) image reconstruction based on the multiple exposure stack from a given single exposure utilizes a deep learning framework to generate high-quality HDR images. These conventional networks focus on the exposure transfer task to reconstruct the multi-exposure stack. T…