3 citations · 5 across the 4 of their papers we have counts for
4 papers
Perceive, Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries
Roberto Amoroso, Gengyuan Zhang, Rajat Koner +3
Video Question Answering (Video QA) is a challenging video understanding task that requires models to comprehend entire videos, identify the most relevant information based on cont…
Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation
Luca Barsellotti, Roberto Amoroso, Marcella Cornia +2
Open-vocabulary semantic segmentation aims at segmenting arbitrary categories expressed in textual form. Previous works have trained over large amounts of image-caption pairs to en…
Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-Training
Lorenzo Baraldi, Roberto Amoroso, Marcella Cornia +2
The use of self-supervised pre-training has emerged as a promising approach to enhance the performance of many different visual tasks. In this context, recent approaches have emplo…
Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images
Roberto Amoroso, Davide Morelli, Marcella Cornia +3
Recent advancements in diffusion models have enabled the generation of realistic deepfakes from textual prompts in natural language. While these models have numerous benefits acros…