- vision
- language
- time series
- multimodal
- embedded
- internship
- thesis
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Object Detection and Tracking for automated video analysis of padel matches and generation of game statistics
Develop a machine learning algorithm able to track players and balls in padel matches footage and to gnerate game statistics
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Adaptive Granularity Retrieval for Retrieval-Augmented Generation
This thesis explores adaptive retrieval for Retrieval-Augmented Generation, developing a system that dynamically adjusts the granularity of retrieved context (document, section, or passage) based on query intent. The goal is to improve both precision for fine-grained questions and coherence for broad, open-ended queries.
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Graphical User Interface for a Retrieval-Augmented Generation (RAG) App.
Develop a GUI to allow users to interact with a Retrieval-Augmented Generation (RAG) system.
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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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Enhancing Multimodal RAG Systems through Cross-Modal Retrieval and Reranking
This thesis involves the implementation of a cross-modal retrieval and reranking pipeline.