- vision
- language
- time series
- multimodal
- embedded
- internship
- thesis
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Deep Learning Approaches to Star Tracker Attitude Determination
Investigation and development of deep learning methodologies for satellite attitude determination using star trackers to overcome traditional limitations in challenging orbital conditions.
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Deep Learning Approaches to Spacecraft Pose Estimation
Investigation and development of deep learning methodologies for spacecraft pose estimation using the SPEED dataset to improve accuracy and computational efficiency for autonomous proximity operations.
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Enhancing Artwork Recognition through Attribute-Supervised Contrastive Learning
Developing a Supervised Contrastive Learning approach for artwork image datasets, leveraging artworks' metadata attributes, to enhance performances on the Artwork Instance Recognition task.
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Enhancing Multimodal RAG Systems through Cross-Modal Retrieval and Reranking
This thesis involves the implementation of a cross-modal retrieval and reranking pipeline.
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Machine Learning-Based Corn Yield Forecasting Using Meteorological and Agronomic Data
Develop a machine learning algorithm able to forecast the expected yield at the end of the season by analising weather data and field management data.