12 citations · 25 across the 6 of their papers we have counts for
6 papers
WaveMAE: Wavelet decomposition Masked Auto-Encoder for Remote Sensing
Vittorio Bernuzzi, Leonardo Rossi, Tomaso Fontanini +2
Self-supervised learning (SSL) has recently emerged as a key strategy for building foundation models in remote sensing, where the scarcity of annotated data limits the applicabilit…
CoLoR-GAN: Continual Few-Shot Learning with Low-Rank Adaptation in Generative Adversarial Networks
Munsif Ali, Leonardo Rossi, Massimo Bertozzi
Continual learning (CL) in the context of Generative Adversarial Networks (GANs) remains a challenging problem, particularly when it comes to learn from a few-shot (FS) samples wit…
CFTS-GAN: Continual Few-Shot Teacher Student for Generative Adversarial Networks
Munsif Ali, Leonardo Rossi, Massimo Bertozzi
Few-shot and continual learning face two well-known challenges in GANs: overfitting and catastrophic forgetting. Learning new tasks results in catastrophic forgetting in deep learn…
MCGM: Mask Conditional Text-to-Image Generative Model
Rami Skaik, Leonardo Rossi, Tomaso Fontanini +1
Recent advancements in generative models have revolutionized the field of artificial intelligence, enabling the creation of highly-realistic and detailed images. In this study, we…
Mamba-ST: State Space Model for Efficient Style Transfer
Filippo Botti, Alex Ergasti, Leonardo Rossi +4
The goal of style transfer is, given a content image and a style source, generating a new image preserving the content but with the artistic representation of the style source. Mos…
Swin2-MoSE: A New Single Image Super-Resolution Model for Remote Sensing
Leonardo Rossi, Vittorio Bernuzzi, Tomaso Fontanini +2
Due to the limitations of current optical and sensor technologies and the high cost of updating them, the spectral and spatial resolution of satellites may not always meet desired…