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Climate Visions at WACV25

Katharina Prasse
Climate change , Clustering , Visual frames

We presented our paper “I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames” which was a joint work by Katharina Prasse, Isaac Bravo, Stefanie Walter, and Margret Keuper. The paper can be found here.

Our work was accepted to WACV25: Applications Track

Katharina Prasse
Climate change , Clustering , Visual frames

We are looking forward to present our automatic visual frame detection method at the Winter Conference for Computer Vision Applications in Tucson, Arizona, USA. In this work we phrase clustering as a minimum-cost multicut problem and argue for its use in visual frame detection. We show its merit on 2 toy dataset and on real-life X (formerly Twitter) images.