- vision
- language
- time series
- multimodal
- embedded
- internship
- thesis
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Improve Zero-shot Classification in Vision-Language Models by Bridging the Modality Gap
A comparison of existing methods for reducing the modality gap in pre-trained vision-language models with new approaches aimed at improving performance on downstream tasks (such as zero-shot classification).
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Machine Learning Approaches for Estimating Human-Caused Wildfire Ignition Probability
Developing advanced models to predict human-caused wildfire ignitions using machine learning and geospatial data
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User Semantic Embedding in Social Media Graphs.
Develop Self-Supervised method to learn high quality semantic embedding of social media users, purely based on their activity on the graph and without relying on labelled data.
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Exploring SAR interferometry (InSAR) for snow water equivalent (SWE) estimation
Exploring SAR interferometry (InSAR) for snow water equivalent (SWE) estimation
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Exploring SAR interferometry (InSAR) for surface monitoring
Exploring SAR interferometry (InSAR) for surface monitoring