8 citations · 59 across the 37 of their papers we have counts for
3 papers · 2 filters
RAMP: Robust Adaptive Mixed-Precision Quantization for Edge CPU Vision Models
David Población-Criado, Dario Garcia-Gasulla, Eduardo Quinones
Deploying deep learning models on edge CPUs is bottlenecked by computational and memory constraints. Mixed-precision quantization promises to reduce inference latency while preserv…
Aloe-Vision: Robust Vision-Language Models for Healthcare
Jaume Guasch-Martí, Enrique Lopez-Cuena, Martín Suárez-Fernández +3
Large Vision-Language Models (LVLMs) specialized in healthcare are emerging as a promising research direction due to their potential impact in clinical and biomedical applications.…
Language Models Can Explain Visual Features via Steering
Javier Ferrando, Enrique Lopez-Cuena, Pablo Agustin Martin-Torres +3
Sparse Autoencoders uncover thousands of features in vision models, yet explaining these features without requiring human intervention remains an open challenge. While previous wor…