Published in Computer Vision and Image Understanding, 2025
A novel approach for pre-training Vision Transformers using masking and permutation strategies.
Recommended citation: L. Baraldi, R. Amoroso, M. Cornia, A. Pilzer, R. Cucchiara (2025). "Learning to mask and permute visual tokens for vision transformer pre-training." Computer Vision and Image Understanding, 104294.
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Published in International Conference on Pattern Recognition, 2025
A novel approach for few-shot deepfake detection using low-rank adaptation techniques.
Recommended citation: S. Cappelletti, L. Baraldi, F. Cocchi, M. Cornia, R. Cucchiara (2025). "Adapt to Scarcity: Few-Shot Deepfake Detection via Low-Rank Adaptation." International Conference on Pattern Recognition, 111-126.
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Published in European Conference on Computer Vision Workshops (ECCVW), 2024
A method for early detection of hallucinations in diffusion models to optimize resource consumption.
Recommended citation: F. Betti, L. Baraldi, R. Cucchiara, N. Sebe (2024). "Optimizing Resource Consumption in Diffusion Models through Hallucination Early Detection." arXiv preprint arXiv:2409.10597.
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Published in Findings of the Association for Computational Linguistics (ACL F), 2024
A comprehensive survey on multimodal large language models.
Recommended citation: D. Caffagni, F. Cocchi, L. Barsellotti, N. Moratelli, S. Sarto, L. Baraldi, et al. (2024). "The revolution of multimodal large language models: a survey." arXiv preprint arXiv:2402.12451.
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Published in European Conference on Computer Vision (ECCV), 2024
This paper presents a novel approach to deepfake detection using contrastive learning.
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Published in ACM International Conference on Multimedia, 2023
A novel approach for evaluating image generation by mimicking human cognitive behavior.
Recommended citation: F. Betti, J. Staiano, L. Baraldi, L. Baraldi, R. Cucchiara, N. Sebe (2023). Let's ViCE! Mimicking Human Cognitive Behavior in Image Generation Evaluation. Proceedings of the 31st ACM International Conference on Multimedia, 9306-9312.
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Published in International Conference on Image Analysis and Processing (ICIAP), 2023
An analysis of how image transformations affect deepfake detection performance.
Recommended citation: F. Cocchi, L. Baraldi, S. Poppi, M. Cornia, L. Baraldi, R. Cucchiara (2023). "Unveiling the impact of image transformations on deepfake detection: An experimental analysis." International Conference on Image Analysis and Processing, 345-356.
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