- vision
- language
- time series
- multimodal
- embedded
- internship
- thesis
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Wildfire Event Tracking and Evolution for Operational Satellite Pipelines
Adapt NASA FEDS-style VIIRS fire-object tracking into the current pipeline and stack, producing time-resolved perimeters and spread metrics beyond proximity clustering.
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A Deep Learning Model for Cloud Detection and Classification in Sentinel-3 OLCI L1B Imagery
Exploring deep learning cloud segmentation on Sentinel-3 images.
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Wiki LLM RAG
Explore the novel Wiki LLM paradigm for Retrieval Augmented Generation (RAG).
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Bridging the Gap in Disaster Response: Cross-Resolution Domain Adaptation for Rapid Damage Assessment
This thesis explores the use of free, high-revisit Sentinel-1/2 data for building damage assessment by aligning their features with high-resolution xBD datasets through domain adaptation and state-of-the-art architectures.
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Multi-Sensor Wildfire Smoke Delineation across Geostationary and Polar-Orbiting Satellites
Exploring deep learning smoke segmentation across heterogeneous satellite sensors, with a focus on adapting GOES-based models to European EO platforms.