1 citations · 1 across the 3 of their papers we have counts for
3 papers
Bridging vision language model (VLM) evaluation gaps with a framework for scalable and cost-effective benchmark generation
Tim Rädsch, Leon Mayer, Simon Pavicic +8
Reliable evaluation of AI models is critical for scientific progress and practical application. While existing VLM benchmarks provide general insights into model capabilities, thei…
Code and Pixels: Multi-Modal Contrastive Pre-training for Enhanced Tabular Data Analysis
Kankana Roy, Lars Krämer, Sebastian Domaschke +4
Learning from tabular data is of paramount importance, as it complements the conventional analysis of image and video data by providing a rich source of structured information that…
Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting
Maximilian Rokuss, Yannick Kirchhoff, Saikat Roy +9
Accurate segmentation of Multiple Sclerosis (MS) lesions in longitudinal MRI scans is crucial for monitoring disease progression and treatment efficacy. Although changes across tim…