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GraphLSS: Integrating Lexical, Structural, and Semantic Features for Long Document Extractive Summarization
Margarita Bugueño, Hazem Abou Hamdan, Gerard de Melo
Heterogeneous graph neural networks have recently gained attention for long document summarization, modeling the extraction as a node classification task. Although effective, these…
Vector Grimoire: Codebook-based Shape Generation under Raster Image Supervision
Moritz Feuerpfeil, Marco Cipriano, Gerard de Melo
Scalable Vector Graphics (SVG) is a popular format on the web and in the design industry. However, despite the great strides made in generative modeling, SVG has remained underexpl…
ELSA: Evaluating Localization of Social Activities in Urban Streets using Open-Vocabulary Detection
Maryam Hosseini, Marco Cipriano, Sedigheh Eslami +4
Existing Open Vocabulary Detection (OVD) models exhibit a number of challenges. They often struggle with semantic consistency across diverse inputs, and are often sensitive to slig…