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Competition
Weather4cast - Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts
Aleksandra Gruca · Pedro Herruzo · Pilar Rípodas · Xavier Calbet · Llorenç Lliso Valverde · Federico Serva · Bertrand Le Saux · Michael Kopp · David Kreil · Sepp Hochreiter
Thu Dec 08 03:00 AM -- 06:30 AM (PST) @ Virtual
Event URL: https://www.iarai.ac.at/weather4cast/ »
The Weather4cast NeurIPS Competition has high practical impact for society: Unusual weather is increasing all over the world, reflecting ongoing climate change, and affecting communities in agriculture, transport, public health and safety, etc.Can you predict future rain patterns with modern machine learning algorithms? Apply spatio-temporal modelling to complex dynamic systems. Get access to unique large-scale data and demonstrate temporal and spatial transfer learning under strong distributional shifts.We provide a super-resolution challenge of high relevance to local events: Predict future weather as measured by ground-based hi-res rain radar weather stations.In addition to movies comprising rain radar maps you get large-scale multi-band satellite sensor images for exploiting data fusion.Winning models will advance key areas of methods research in machine learning, of relevance beyond the application domain.
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Thu 3:00 a.m. - 3:00 a.m.
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Fifteen-minute Competition Overview Video
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Overview
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SlidesLive Video » |
Pilar Rípodas · Federico Serva · Aleksandra Gruca · Xavier Calbet · Sepp Hochreiter · Pedro Herruzo · Michael Kopp · Llorenç Lliso Valverde · David Kreil · Bertrand Le Saux 🔗 |
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Thu 3:00 a.m. - 3:10 a.m.
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Weather4cast Introduction
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Opening Remarks
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Sepp Hochreiter · David Kreil 🔗 |
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Thu 3:10 a.m. - 3:20 a.m.
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Estimating and Forecasting Precipitation. Radar and Satellite Meteorological Data
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Overview Presentation
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Pilar Rípodas 🔗 |
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Thu 3:20 a.m. - 3:30 a.m.
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Competition Design and Data
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Overview Presentation
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Aleksandra Gruca 🔗 |
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Thu 3:30 a.m. - 3:50 a.m.
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1st prize CORE: Team FIT-CTU/Meteopress - WeatherFusionNet: Predicting Precipitation from Satellite Data
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Presentation
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Petr Šimánek 🔗 |
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Thu 3:50 a.m. - 4:10 a.m.
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2nd prize CORE: Team meteoai - Super-resolution Rain Probabilistic Prediction based on Satellite and Radar Measurements Using Deep Learning
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Presentation
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Haiyu Dong 🔗 |
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Thu 4:10 a.m. - 4:30 a.m.
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3rd prize ex aequo CORE: Team team-name - Solving the Weather4cast Challenge via Visual Transformers for 3D Images
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Presentation
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Brian Pulfer 🔗 |
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Thu 4:30 a.m. - 4:50 a.m.
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3rd prize ex aequo CORE: Team SI Analytics - Simple Baseline for Weather Forecasting Using Spatiotemporal Context Aggregation Network
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Presentation
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Minseok Seo 🔗 |
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Thu 4:50 a.m. - 5:10 a.m.
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Transfer Learning Award: Team SI Analytics - Domain Generalization Strategy to Train Classifiers Robust to Spatial-Temporal Shift
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Presentation
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Yeji Choi 🔗 |
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Thu 5:10 a.m. - 5:30 a.m.
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Team KAIST-CILAB - RainUNet for Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts
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Presentation
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Jinyoung Park 🔗 |
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Thu 5:30 a.m. - 5:50 a.m.
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Team KAIST_AI - Region-Conditioned Orthogonal 3D U-Net forWeather4Cast Competition
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Presentation
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Taehyeon Kim 🔗 |
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Thu 5:50 a.m. - 6:00 a.m.
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Award Ceremony
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Presentation
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David Kreil 🔗 |
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Thu 6:00 a.m. - 6:20 a.m.
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Weather4cast - Lessons Learned and Future Plans
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Discussion and Q&A with the Weather4cast community
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Aleksandra Gruca · David Kreil · Federico Serva 🔗 |
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Thu 6:20 a.m. - 6:30 a.m.
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Closing Remakrs
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David Kreil 🔗 |
Author Information
Aleksandra Gruca (Silesian University of Technology)
Pedro Herruzo (Institute of Advanced Research in Artificial Intelligence)
Pilar Rípodas (Spanish Meteorological Agency)
Xavier Calbet (AEMET)
Llorenç Lliso Valverde (AEMET)
Federico Serva (European Space Agency, Italian Space Agency)
Bertrand Le Saux (European Space Agency (ESA))
Michael Kopp (Institute of Advanced Research in Artificial Intelligence (IARAI) GmbH)
David Kreil (Institute of Advanced Research in Artificial Intelligence (IARAI) GmbH)
Sepp Hochreiter (Institute of Advanced Research in Artificial Intelligence (IARAI) GmbH)
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