Human pose estimation has advanced significantly due to the development of deep learning models, increased data availability, and improved computing resources. These developments have led to highly accurate body tracking systems with direct applications in sports analysis and performance evaluation. The VideoRun2D Demo...
L. F. Gómez, J. Fiérrez, Roberto Daza et al.· 0 citations
Detectors of AI-generated images are typically trained using samples from all Generative AI architectures they must catch, and struggle as soon as a new architecture emerges. Recent approaches have explored self-supervised pre-training as an alternative solution, yet standard frameworks work against the forensic task,...
Javier Muñoz-Haro, Ruben Tolosana, Rubén Vera-Rodríguez et al.· 0 citations
Across four-fold cross-validation the organ-supervised model achieves the best and most stable performance, the interactive stage improves the Dice score monotonically with each prompt, and PSMA-specific training yields the strongest tracer-wise results.
Pablo Lozano-Jimenez, Sergio Romero-Tapiador, Ruben Tolosana· 0 citations
The findings demonstrate that while large pretrained VLMs possess strong zero-shot baselines for structured layouts, their performance strongly decreases on visually complex layouts of infographics and slides, and that visual understanding is the main bottleneck for DocVQA, not a lack of knowledge from the VLMs.
Miguel Lopez-Duran, Elena Marrero, Julian Fiérrez et al.· 2 citations
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