3 citations · 5 across the 5 of their papers we have counts for
9 papers
Verifying Cross-modal Entity Consistency in News using Vision-language Models
Sahar Tahmasebi, David Ernst, Eric Müller-Budack +1
The web has become a crucial source of information, but it is also used to spread disinformation, often conveyed through multiple modalities like images and text. The identificatio…
Patent Figure Classification using Large Vision-language Models
Sushil Awale, Eric Müller-Budack, Ralph Ewerth
Patent figure classification facilitates faceted search in patent retrieval systems, enabling efficient prior art search. Existing approaches have explored patent figure classifica…
Classification of Visualization Types and Perspectives in Patents
Junaid Ahmed Ghauri, Eric Müller-Budack, Ralph Ewerth
Due to the swift growth of patent applications each year, information and multimedia retrieval approaches that facilitate patent exploration and retrieval are of utmost importance.…
Extraction of Positional Player Data from Broadcast Soccer Videos
Jonas Theiner, Wolfgang Gritz, Eric Müller-Budack +3
Computer-aided support and analysis are becoming increasingly important in the modern world of sports. The scouting of potential prospective players, performance as well as match a…
QuTI! Quantifying Text-Image Consistency in Multimodal Documents
Matthias Springstein, Eric Müller-Budack, Ralph Ewerth
The World Wide Web and social media platforms have become popular sources for news and information. Typically, multimodal information, e.g., image and text is used to convey inform…
A Feature Analysis for Multimodal News Retrieval
Golsa Tahmasebzadeh, Sherzod Hakimov, Eric Müller-Budack +1
Content-based information retrieval is based on the information contained in documents rather than using metadata such as keywords. Most information retrieval methods are either ba…