2023-present
Visual Content Analysis for Reliable Document Access
This doctoral project develops methods that make visually complex documents more reliably accessible. It moves from flexible layout and graph-structured analysis, through robustness under real-world perturbations and domain shifts, toward privacy-aware and semantically grounded document access.
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Visual content analysis
Flexible document layout analysis and graph-based representations of spatial and logical structure.
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Robust document analysis
Evaluation and adaptation under visual perturbations, heterogeneous layouts, and domain shifts.
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Reliable document access
Privacy-aware retrieval and unified parsing of bounding boxes, content, reading order, caption links, and alternative text.