collaborators

6 papers

cs.CV2026

Retrieval-Augmented Visual Prompting: Guiding Foundation Models in Two-Photon Imaging

Salvatore Calcagno, Marco Finocchiaro, Giovanni Bellitto +3

Two-photon calcium imaging presents a challenging setting for foundation models: image appearance varies substantially across recordings and experimental conditions, annotations ar…

cs.CV2026

ULF-Synth: Physics-Guided Ultra-Low-Field MRI Enhancement for Pediatric Neuroimaging

Toufiq Musah, Salvatore Calcagno, Federica Proietto Salanitri +3

Ultra-low-field (ULF) MRI offers portable and accessible neuroimaging but suffers from reduced signal-to-noise ratio and limited spatial resolution compared to high-field (HF) syst…

cs.CV2026

PERL: Parameter Efficient Reasoning in CLIP Latent Space

Simone Carnemolla, Salvatore Calcagno, Daniela Giordano +2

Contrastively trained vision-language models such as CLIP provide strong zero-shot transfer by aligning images and text in a shared embedding space. However, adapting these models…

cs.LG2026

Dream2Learn: Structured Generative Dreaming for Continual Learning

Salvatore Calcagno, Matteo Pennisi, Federica Proietto Salanitri +4

Continual learning requires balancing plasticity and stability while mitigating catastrophic forgetting. Inspired by human dreaming as a mechanism for internal simulation and knowl…

q-bio.NC2024

QuantFormer: Learning to Quantize for Neural Activity Forecasting in Mouse Visual Cortex

Salvatore Calcagno, Isaak Kavasidis, Simone Palazzo +9

Understanding complex animal behaviors hinges on deciphering the neural activity patterns within brain circuits, making the ability to forecast neural activity crucial for developi…

cs.LG2024

Back to Supervision: Boosting Word Boundary Detection through Frame Classification

Simone Carnemolla, Salvatore Calcagno, Simone Palazzo +1

Speech segmentation at both word and phoneme levels is crucial for various speech processing tasks. It significantly aids in extracting meaningful units from an utterance, thus ena…