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Minseok Seo

12 papers hereh-index 564 citations15 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author10

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • cs.CE1
  • cs.CL1
same name
  • Minseok Seo — 2 papers, h 3
  • Minseok Seo — 1 paper, h 2
  • Minseok Seo — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedPrototype-oriented Unsupervised Change Detection for Disaster Management

2 citations · 2 across the 11 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

Data-driven Precipitation Nowcasting Using Satellite Imagery

Young-Jae Park, Doyi Kim, Minseok Seo +2

Accurate precipitation forecasting is crucial for early warnings of disasters, such as floods and landslides. Traditional forecasts rely on ground-based radar systems, which are sp…

cs.CV2024

Masked Autoregressive Model for Weather Forecasting

Doyi Kim, Minseok Seo, Hakjin Lee +1

The growing impact of global climate change amplifies the need for accurate and reliable weather forecasting. Traditional autoregressive approaches, while effective for temporal mo…

cs.CV2024

ACE Metric: Advection and Convection Evaluation for Accurate Weather Forecasting

Doyi Kim, Minseok Seo, Yeji Choi

Recently, data-driven weather forecasting methods have received significant attention for surpassing the RMSE performance of traditional NWP (Numerical Weather Prediction)-based me…

cs.CV2024

Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data

Young-Jae Park, Minseok Seo, Doyi Kim +7

In the face of escalating climate changes, typhoon intensities and their ensuing damage have surged. Accurate trajectory prediction is crucial for effective damage control. Traditi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.