26 citations · 43 across the 6 of their papers we have counts for
6 papers · 1 filter
Improved Flood Insights: Diffusion-Based SAR to EO Image Translation
Minseok Seo, Youngtack Oh, Doyi Kim +2
Driven by rapid climate change, the frequency and intensity of flood events are increasing. Electro-Optical (EO) satellite imagery is commonly utilized for rapid response. However,…
Intermediate and Future Frame Prediction of Geostationary Satellite Imagery With Warp and Refine Network
Minseok Seo, Yeji Choi, Hyungon Ry +4
Geostationary satellite imagery has applications in climate and weather forecasting, planning natural energy resources, and predicting extreme weather events. For precise and accur…
Domain Generalization Strategy to Train Classifiers Robust to Spatial-Temporal Shift
Minseok Seo, Doyi Kim, Seungheon Shin +3
Deep learning-based weather prediction models have advanced significantly in recent years. However, data-driven models based on deep learning are difficult to apply to real-world a…
Simple Baseline for Weather Forecasting Using Spatiotemporal Context Aggregation Network
Minseok Seo, Doyi Kim, Seungheon Shin +3
Traditional weather forecasting relies on domain expertise and computationally intensive numerical simulation systems. Recently, with the development of a data-driven approach, wea…
Contrastive Multiview Coding with Electro-optics for SAR Semantic Segmentation
Keumgang Cha, Junghoon Seo, Yeji Choi
In the training of deep learning models, how the model parameters are initialized greatly affects the model performance, sample efficiency, and convergence speed. Representation le…
K-FACE: A Large-Scale KIST Face Database in Consideration with Unconstrained Environments
Yeji Choi, Hyunjung Park, Gi Pyo Nam +4
In this paper, we introduce a new large-scale face database from KIST, denoted as K-FACE, and describe a novel capturing device specifically designed to obtain the data. The K-FACE…