most citedMARS: Paying more attention to visual attributes for text-based person search

25 citations · 58 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2025

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…

cs.CV2025

SISMA: Semantic Face Image Synthesis with Mamba

Filippo Botti, Alex Ergasti, Tomaso Fontanini +3

Diffusion Models have become very popular for Semantic Image Synthesis (SIS) of human faces. Nevertheless, their training and inference is computationally expensive and their compu…

cs.CV2025★ 5 cited

U-Shape Mamba: State Space Model for faster diffusion

Alex Ergasti, Filippo Botti, Tomaso Fontanini +3

Diffusion models have become the most popular approach for high-quality image generation, but their high computational cost still remains a significant challenge. To address this p…

cs.CV2025

FLAV: Rolling Flow matching for infinite Audio Video generation

Alex Ergasti, Giuseppe Gabriele Tarollo, Filippo Botti +4

Joint audio-video (AV) generation is still a significant challenge in generative AI, primarily due to three critical requirements: quality of the generated samples, seamless multim…

cs.CV2024

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…

cs.CV2024★ 12 cited

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…

cs.CV2024★ 25 cited

MARS: Paying more attention to visual attributes for text-based person search

Alex Ergasti, Tomaso Fontanini, Claudio Ferrari +2

Text-based person search (TBPS) is a problem that gained significant interest within the research community. The task is that of retrieving one or more images of a specific individ…

cs.CV2024

Adversarial Identity Injection for Semantic Face Image Synthesis

Giuseppe Tarollo, Tomaso Fontanini, Claudio Ferrari +2

Nowadays, deep learning models have reached incredible performance in the task of image generation. Plenty of literature works address the task of face generation and editing, with…

cs.CV2024★ 12 cited

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…

cs.CV2024★ 4 cited

Controllable Face Synthesis with Semantic Latent Diffusion Models

Alex Ergasti, Claudio Ferrari, Tomaso Fontanini +2

Semantic Image Synthesis (SIS) is among the most popular and effective techniques in the field of face generation and editing, thanks to its good generation quality and the versati…