Multi-level Net: A Visual Saliency Prediction Model. - Marcella Cornia; Lorenzo Baraldi 001; Giuseppe Serra 001; Rita Cucchiara (ECCV Workshops (2), 2016)

A deep multi-level network for saliency prediction. - Marcella Cornia; Lorenzo Baraldi 001; Giuseppe Serra 001; Rita Cucchiara (ICPR, 2016)

Towards Video Captioning with Naming: A Novel Dataset and a Multi-modal Approach. - Stefano Pini; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (ICIAP (2), 2017)

Visual saliency for image captioning in new multimedia services. - Marcella Cornia; Lorenzo Baraldi 001; Giuseppe Serra 001; Rita Cucchiara (ICME Workshops, 2017)

Modeling multimodal cues in a deep learning-based framework for emotion recognition in the wild. - Stefano Pini; Olfa Ben Ahmed; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara; Benoit Huet (ICMI, 2017)

SAM: Pushing the Limits of Saliency Prediction Models. - Marcella Cornia; Lorenzo Baraldi 001; Giuseppe Serra 001; Rita Cucchiara (CVPR Workshops, 2018)

Visual-Semantic Alignment Across Domains Using a Semi-Supervised Approach. - Angelo Carraggi; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (ECCV Workshops (6), 2018)

Towards Cycle-Consistent Models for Text and Image Retrieval. - Marcella Cornia; Lorenzo Baraldi 001; Hamed R. Tavakoli; Rita Cucchiara (ECCV Workshops (4), 2018)

What Was Monet Seeing While Painting? Translating Artworks to Photo-Realistic Images. - Matteo Tomei; Lorenzo Baraldi 001; Marcella Cornia; Rita Cucchiara (ECCV Workshops (2), 2018)

Aligning Text and Document Illustrations: Towards Visually Explainable Digital Humanities. - Lorenzo Baraldi 001; Marcella Cornia; Costantino Grana; Rita Cucchiara (ICPR, 2018)

Automatic Image Cropping and Selection Using Saliency: An Application to Historical Manuscripts. - Marcella Cornia; Stefano Pini; Lorenzo Baraldi 001; Rita Cucchiara (IRCDL, 2018)

Attentive models in vision: Computing saliency maps in the deep learning era. - Marcella Cornia; Davide Abati; Lorenzo Baraldi 001; Andrea Palazzi; Simone Calderara; Rita Cucchiara (Intelligenza Artificiale, 2018)

Predicting Human Eye Fixations via an LSTM-Based Saliency Attentive Model. - Marcella Cornia; Lorenzo Baraldi 001; Giuseppe Serra 001; Rita Cucchiara (IEEE Trans. Image Process., 2018)

Paying More Attention to Saliency: Image Captioning with Saliency and Context Attention. - Marcella Cornia; Lorenzo Baraldi 001; Giuseppe Serra 001; Rita Cucchiara (ACM Trans. Multim. Comput. Commun. Appl., 2018)

Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions. - Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (CVPR, 2019)

Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-To-Image Translation. - Matteo Tomei; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (CVPR, 2019)

Artpedia: A New Visual-Semantic Dataset with Visual and Contextual Sentences in the Artistic Domain. - Matteo Stefanini; Marcella Cornia; Lorenzo Baraldi 001; Massimiliano Corsini; Rita Cucchiara (ICIAP (2), 2019)

Image-to-Image Translation to Unfold the Reality of Artworks: An Empirical Analysis. - Matteo Tomei; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (ICIAP (2), 2019)

Perceive, Transform, and Act: Multi-Modal Attention Networks for Vision-and-Language Navigation. - Federico Landi; Lorenzo Baraldi 001; Marcella Cornia; Massimiliano Corsini; Rita Cucchiara (CoRR, 2019)

M2: Meshed-Memory Transformer for Image Captioning. - Marcella Cornia; Matteo Stefanini; Lorenzo Baraldi 001; Rita Cucchiara (CoRR, 2019)

M-VAD names: a dataset for video captioning with naming. - Stefano Pini; Marcella Cornia; Federico Bolelli; Lorenzo Baraldi 001; Rita Cucchiara (Multim. Tools Appl., 2019)

Meshed-Memory Transformer for Image Captioning. - Marcella Cornia; Matteo Stefanini; Lorenzo Baraldi 001; Rita Cucchiara (CVPR, 2020)

Explore and Explain: Self-supervised Navigation and Recounting. - Roberto Bigazzi; Federico Landi; Marcella Cornia; Silvia Cascianelli; Lorenzo Baraldi 001; Rita Cucchiara (ICPR, 2020)

VITON-GT: An Image-based Virtual Try-On Model with Geometric Transformations. - Matteo Fincato; Federico Landi; Marcella Cornia; Fabio Cesari; Rita Cucchiara (ICPR, 2020)

A Novel Attention-based Aggregation Function to Combine Vision and Language. - Matteo Stefanini; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (ICPR, 2020)

SMArT: Training Shallow Memory-aware Transformers for Robotic Explainability. - Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (ICRA, 2020)

A unified cycle-consistent neural model for text and image retrieval. - Marcella Cornia; Lorenzo Baraldi 001; Hamed R. Tavakoli; Rita Cucchiara (Multim. Tools Appl., 2020)

Explaining digital humanities by aligning images and textual descriptions. - Marcella Cornia; Matteo Stefanini; Lorenzo Baraldi 001; Massimiliano Corsini; Rita Cucchiara (Pattern Recognit. Lett., 2020)

Out of the Box: Embodied Navigation in the Real World. - Roberto Bigazzi; Federico Landi; Marcella Cornia; Silvia Cascianelli; Lorenzo Baraldi 001; Rita Cucchiara (CAIP (1), 2021)

Learning to Read L'Infinito: Handwritten Text Recognition with Synthetic Training Data. - Silvia Cascianelli; Marcella Cornia; Lorenzo Baraldi 001; Maria Ludovica Piazzi; Rosiana Schiuma; Rita Cucchiara (CAIP (2), 2021)

Revisiting the Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis. - Samuele Poppi; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (CVPR Workshops, 2021)

FashionSearch++: Improving Consumer-to-Shop Clothes Retrieval with Hard Negatives. - Davide Morelli; Marcella Cornia; Rita Cucchiara (IIR, 2021)

Learning to Select: A Fully Attentive Approach for Novel Object Captioning. - Marco Cagrandi; Marcella Cornia; Matteo Stefanini; Lorenzo Baraldi 001; Rita Cucchiara (ICMR, 2021)

From Show to Tell: A Survey on Image Captioning. - Matteo Stefanini; Marcella Cornia; Lorenzo Baraldi 001; Silvia Cascianelli; Giuseppe Fiameni; Rita Cucchiara (CoRR, 2021)

Universal Captioner: Long-Tail Vision-and-Language Model Training through Content-Style Separation. - Marcella Cornia; Lorenzo Baraldi 001; Giuseppe Fiameni; Rita Cucchiara (CoRR, 2021)

Multimodal attention networks for low-level vision-and-language navigation. - Federico Landi; Lorenzo Baraldi 001; Marcella Cornia; Massimiliano Corsini; Rita Cucchiara (Comput. Vis. Image Underst., 2021)

Working Memory Connections for LSTM. - Federico Landi; Lorenzo Baraldi 001; Marcella Cornia; Rita Cucchiara (Neural Networks, 2021)

ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and Retrieval. - Nicola Messina; Matteo Stefanini; Marcella Cornia; Lorenzo Baraldi 001; Fabrizio Falchi; Giuseppe Amato 001; Rita Cucchiara (CBMI, 2022)

Retrieval-Augmented Transformer for Image Captioning. - Sara Sarto; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (CBMI, 2022)

The Unreasonable Effectiveness of CLIP Features for Image Captioning: An Experimental Analysis. - Manuele Barraco; Marcella Cornia; Silvia Cascianelli; Lorenzo Baraldi 001; Rita Cucchiara (CVPR Workshops, 2022)

Dual-Branch Collaborative Transformer for Virtual Try-On. - Emanuele Fenocchi; Davide Morelli; Marcella Cornia; Lorenzo Baraldi 001; Fabio Cesari; Rita Cucchiara (CVPR Workshops, 2022)

Dress Code: High-Resolution Multi-Category Virtual Try-On. - Davide Morelli; Matteo Fincato; Marcella Cornia; Federico Landi; Fabio Cesari; Rita Cucchiara (CVPR Workshops, 2022)

Embodied Navigation at the Art Gallery. - Roberto Bigazzi; Federico Landi; Silvia Cascianelli; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (ICIAP (1), 2022)

Investigating Bidimensional Downsampling in Vision Transformer Models. - Paolo Bruno; Roberto Amoroso; Marcella Cornia; Silvia Cascianelli; Lorenzo Baraldi 001; Rita Cucchiara (ICIAP (2), 2022)

CaMEL: Mean Teacher Learning for Image Captioning. - Manuele Barraco; Matteo Stefanini; Marcella Cornia; Silvia Cascianelli; Lorenzo Baraldi 001; Rita Cucchiara (ICPR, 2022)

The LAM Dataset: A Novel Benchmark for Line-Level Handwritten Text Recognition. - Silvia Cascianelli; Vittorio Pippi; Martin Maarand; Marcella Cornia; Lorenzo Baraldi 001; Christopher Kermorvant; Rita Cucchiara (ICPR, 2022)

Spot the Difference: A Novel Task for Embodied Agents in Changing Environments. - Federico Landi; Roberto Bigazzi; Marcella Cornia; Silvia Cascianelli; Lorenzo Baraldi 001; Rita Cucchiara (ICPR, 2022)

Explaining transformer-based image captioning models: An empirical analysis. - Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (AI Commun., 2022)

Boosting modern and historical handwritten text recognition with deformable convolutions. - Silvia Cascianelli; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (Int. J. Document Anal. Recognit., 2022)

Focus on Impact: Indoor Exploration With Intrinsic Motivation. - Roberto Bigazzi; Federico Landi; Silvia Cascianelli; Lorenzo Baraldi 001; Marcella Cornia; Rita Cucchiara (IEEE Robotics Autom. Lett., 2022)

Matching Faces and Attributes Between the Artistic and the Real Domain: the PersonArt Approach. - Marcella Cornia; Matteo Tomei; Lorenzo Baraldi 001; Rita Cucchiara (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Transform, Warp, and Dress: A New Transformation-guided Model for Virtual Try-on. - Matteo Fincato; Marcella Cornia; Federico Landi; Fabio Cesari; Rita Cucchiara (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation. - Sara Sarto; Manuele Barraco; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (CVPR, 2023)

Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing. - Alberto Baldrati; Davide Morelli; Giuseppe Cartella; Marcella Cornia; Marco Bertini 001; Rita Cucchiara (ICCV, 2023)

With a Little Help from your own Past: Prototypical Memory Networks for Image Captioning. - Manuele Barraco; Sara Sarto; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (ICCV, 2023)

SynthCap: Augmenting Transformers with Synthetic Data for Image Captioning. - Davide Caffagni; Manuele Barraco; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (ICIAP (1), 2023)

OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Data. - Giuseppe Cartella; Alberto Baldrati; Davide Morelli; Marcella Cornia; Marco Bertini 001; Rita Cucchiara (ICIAP (1), 2023)

Unveiling the Impact of Image Transformations on Deepfake Detection: An Experimental Analysis. - Federico Cocchi; Lorenzo Baraldi 002; Samuele Poppi; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (ICIAP (2), 2023)

Towards Explainable Navigation and Recounting. - Samuele Poppi; Roberto Bigazzi; Niyati Rawal; Marcella Cornia; Silvia Cascianelli; Lorenzo Baraldi 001; Rita Cucchiara (ICIAP (1), 2023)

Embodied Agents for Efficient Exploration and Smart Scene Description. - Roberto Bigazzi; Marcella Cornia; Silvia Cascianelli; Lorenzo Baraldi 001; Rita Cucchiara (ICRA, 2023)

Where Research meets Industry: New Challenges and Opportunities at AImageLab. - Rita Cucchiara; Lorenzo Baraldi 001; Simone Calderara; Marcella Cornia; Matteo Fabbri; Costantino Grana; Angelo Porrello; Roberto Vezzani (Ital-IA, 2023)

LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On. - Davide Morelli; Alberto Baldrati; Giuseppe Cartella; Marcella Cornia; Marco Bertini 001; Rita Cucchiara (ACM Multimedia, 2023)

Positive-Augmented Constrastive Learning for Image and Video Captioning Evaluation. - Sara Sarto; Manuele Barraco; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (CoRR, 2023)

Multi-Class Explainable Unlearning for Image Classification via Weight Filtering. - Samuele Poppi; Sara Sarto; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (CoRR, 2023)

Removing NSFW Concepts from Vision-and-Language Models for Text-to-Image Retrieval and Generation. - Samuele Poppi; Tobia Poppi; Federico Cocchi; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (CoRR, 2023)

From Show to Tell: A Survey on Deep Learning-Based Image Captioning. - Matteo Stefanini; Marcella Cornia; Lorenzo Baraldi 001; Silvia Cascianelli; Giuseppe Fiameni; Rita Cucchiara (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Computer Vision in Human Analysis: From Face and Body to Clothes. - Mohamed Daoudi; Roberto Vezzani; Guido Borghi; Claudio Ferrari; Marcella Cornia; Federico Becattini; Andrea Pilzer (Sensors, 2023)

Fashion-Oriented Image Captioning with External Knowledge Retrieval and Fully Attentive Gates. - Nicholas Moratelli; Manuele Barraco; Davide Morelli; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (Sensors, 2023)

Fully-attentive iterative networks for region-based controllable image and video captioning. - Marcella Cornia; Lorenzo Baraldi 001; Ayellet Tal; Rita Cucchiara (Comput. Vis. Image Underst., 2023)

The Revolution of Multimodal Large Language Models: A Survey. - Davide Caffagni; Federico Cocchi; Luca Barsellotti; Nicholas Moratelli; Sara Sarto; Lorenzo Baraldi 001; Marcella Cornia; Rita Cucchiara (ACL (Findings), 2024)

Revisiting Image Captioning Training Paradigm via Direct CLIP-based Optimization. - Nicholas Moratelli; Davide Caffagni; Marcella Cornia; Lorenzo Baraldi 002; Rita Cucchiara (BMVC, 2024)

Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation. - Luca Barsellotti; Roberto Amoroso; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (CVPR, 2024)

Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs. - Davide Caffagni; Federico Cocchi; Nicholas Moratelli; Sara Sarto; Marcella Cornia; Lorenzo Baraldi 002; Rita Cucchiara (CVPR Workshops, 2024)

Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities. - Federico Cocchi; Marcella Cornia; Lorenzo Baraldi 001; Alessandro Nicolosi; Rita Cucchiara (ECCV (63), 2024)

Personalizing Multimodal Large Language Models for Image Captioning: An Experimental Analysis. - Davide Bucciarelli; Nicholas Moratelli; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (ECCV Workshops (22), 2024)

Pixels of Faith: Exploiting Visual Saliency to Detect Religious Image Manipulation. - Giuseppe Cartella; Vittorio Cuculo; Marcella Cornia; Marco Papasidero; Federico Ruozzi; Rita Cucchiara (>ECCV Workshops (6), 2024)

Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models. - Samuele Poppi; Tobia Poppi; Federico Cocchi; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (ECCV (53), 2024)

BRIDGE: Bridging Gaps in Image Captioning Evaluation with Stronger Visual Cues. - Sara Sarto; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (ECCV (78), 2024)

Adapt to Scarcity: Few-Shot Deepfake Detection via Low-Rank Adaptation. - Silvia Cappelletti; Lorenzo Baraldi 001; Federico Cocchi; Marcella Cornia; Lorenzo Baraldi 002; Rita Cucchiara (ICPR (21), 2024)

Fluent and Accurate Image Captioning with a Self-trained Reward Model. - Nicholas Moratelli; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (ICPR (18), 2024)

Unlearning Vision Transformers Without Retaining Data via Low-Rank Decompositions. - Samuele Poppi; Sara Sarto; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (ICPR (3), 2024)

Trends, Applications, and Challenges in Human Attention Modelling. - Giuseppe Cartella; Marcella Cornia; Vittorio Cuculo; Alessandro D'Amelio; Dario Zanca; Giuseppe Boccignone; Rita Cucchiara (IJCAI, 2024)

Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments. - Luca Barsellotti; Roberto Bigazzi; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (NeurIPS, 2024)

The (R)Evolution of Multimodal Large Language Models: A Survey. - Davide Caffagni; Federico Cocchi; Luca Barsellotti; Nicholas Moratelli; Sara Sarto; Lorenzo Baraldi 001; Lorenzo Baraldi 002; Marcella Cornia; Rita Cucchiara (CoRR, 2024)

Multimodal-Conditioned Latent Diffusion Models for Fashion Image Editing. - Alberto Baldrati; Davide Morelli; Marcella Cornia; Marco Bertini 001; Rita Cucchiara (CoRR, 2024)

Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs. - Davide Caffagni; Federico Cocchi; Nicholas Moratelli; Sara Sarto; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (CoRR, 2024)

Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities. - Lorenzo Baraldi 002; Federico Cocchi; Marcella Cornia; Lorenzo Baraldi 001; Alessandro Nicolosi; Rita Cucchiara (CoRR, 2024)

Revisiting Image Captioning Training Paradigm via Direct CLIP-based Optimization. - Nicholas Moratelli; Davide Caffagni; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (CoRR, 2024)

Positive-Augmented Contrastive Learning for Vision-and-Language Evaluation and Training. - Sara Sarto; Nicholas Moratelli; Marcella Cornia; Lorenzo Baraldi 002; Rita Cucchiara (CoRR, 2024)

Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering. - Federico Cocchi; Nicholas Moratelli; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (CoRR, 2024)

Talking to DINO: Bridging Self-Supervised Vision Backbones with Language for Open-Vocabulary Segmentation. - Luca Barsellotti; Lorenzo Bianchi 001; Nicola Messina; Fabio Carrara; Marcella Cornia; Lorenzo Baraldi 001; Fabrizio Falchi; Rita Cucchiara (CoRR, 2024)

Personalizing Multimodal Large Language Models for Image Captioning: An Experimental Analysis. - Davide Bucciarelli; Nicholas Moratelli; Marcella Cornia; Lorenzo Baraldi 002; Rita Cucchiara (CoRR, 2024)

Are Learnable Prompts the Right Way of Prompting? Adapting Vision-and-Language Models with Memory Optimization. - Nicholas Moratelli; Manuele Barraco; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (IEEE Intell. Syst., 2024)

Multiclass Unlearning for Image Classification via Weight Filtering. - Samuele Poppi; Sara Sarto; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (IEEE Intell. Syst., 2024)

Unveiling the Truth: Exploring Human Gaze Patterns in Fake Images. - Giuseppe Cartella; Vittorio Cuculo; Marcella Cornia; Rita Cucchiara (IEEE Signal Process. Lett., 2024)

Video Surveillance and Privacy: A Solvable Paradox? - Rita Cucchiara; Lorenzo Baraldi 001; Marcella Cornia; Sara Sarto (Computer, 2024)

Generating More Pertinent Captions by Leveraging Semantics and Style on Multi-Source Datasets. - Marcella Cornia; Lorenzo Baraldi 001; Giuseppe Fiameni; Rita Cucchiara (Int. J. Comput. Vis., 2024)

Towards Retrieval-Augmented Architectures for Image Captioning. - Sara Sarto; Marcella Cornia; Lorenzo Baraldi 001; Alessandro Nicolosi; Rita Cucchiara (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Recurrence-Enhanced Vision-and-Language Transformers for Robust Multimodal Document Retrieval. - Davide Caffagni; Sara Sarto; Marcella Cornia; Lorenzo Baraldi 002; Rita Cucchiara (CVPR, 2025)

Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering. - Federico Cocchi; Nicholas Moratelli; Marcella Cornia; Lorenzo Baraldi 002; Rita Cucchiara (CVPR, 2025)

Benchmarking BERT-based Models for Latin: A Case Study on Biblical References in Ancient Christian Literature. - Davide Caffagni; Federico Cocchi; Anna Mambelli; Fabio Tutrone; Marco Zanella; Marcella Cornia; Rita Cucchiara (IRCDL, 2025)

TPP-Gaze: Modelling Gaze Dynamics in Space and Time with Neural Temporal Point Processes. - Alessandro D'Amelio; Giuseppe Cartella; Vittorio Cuculo; Manuele Lucchi; Marcella Cornia; Rita Cucchiara; Giuseppe Boccignone (WACV, 2025)

Semantically Conditioned Prompts for Visual Recognition Under Missing Modality Scenarios. - Vittorio Pipoli; Federico Bolelli; Sara Sarto; Marcella Cornia; Lorenzo Baraldi 002; Costantino Grana; Rita Cucchiara; Elisa Ficarra (WACV, 2025)

Learning to mask and permute visual tokens for Vision Transformer pre-training. - Lorenzo Baraldi 002; Roberto Amoroso; Marcella Cornia; Lorenzo Baraldi 001; Andrea Pilzer; Rita Cucchiara (Comput. Vis. Image Underst., 2025)

Augmenting and mixing Transformers with synthetic data for image captioning. - Davide Caffagni; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (Image Vis. Comput., 2025)

Parents and Children: Distinguishing Multimodal Deepfakes from Natural Images. - Roberto Amoroso; Davide Morelli; Marcella Cornia; Lorenzo Baraldi 001; Alberto Del Bimbo; Rita Cucchiara (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Image Captioning Evaluation in the Age of Multimodal LLMs: Challenges and Future Perspectives. - Sara Sarto; Marcella Cornia; Rita Cucchiara (CoRR, 2025)

LLaVA-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction Tuning. - Federico Cocchi; Nicholas Moratelli; Davide Caffagni; Sara Sarto; Lorenzo Baraldi 001; Marcella Cornia; Rita Cucchiara (CoRR, 2025)

Fashion-RAG: Multimodal Fashion Image Editing via Retrieval-Augmented Generation. - Fulvio Sanguigni; Davide Morelli; Marcella Cornia; Rita Cucchiara (CoRR, 2025)

Improving LLM First-Token Predictions in Multiple-Choice Question Answering via Prefilling Attack. - Silvia Cappelletti; Tobia Poppi; Samuele Poppi; Zheng-Xin Yong; Diego Garcia-Olano; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (CoRR, 2025)

What Changed? Detecting and Evaluating Instruction-Guided Image Edits with Multimodal Large Language Models. - Lorenzo Baraldi 001; Davide Bucciarelli; Federico Betti; Marcella Cornia; Lorenzo Baraldi 002; Nicu Sebe; Rita Cucchiara (CoRR, 2025)

Inverse Virtual Try-On: Generating Multi-Category Product-Style Images from Clothed Individuals. - Davide Lobba; Fulvio Sanguigni; Bin Ren; Marcella Cornia; Rita Cucchiara; Nicu Sebe (CoRR, 2025)

RAID: A Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors. - Hicham Eddoubi; Jonas Ricker; Federico Cocchi; Lorenzo Baraldi 001; Angelo Sotgiu; Maura Pintor; Marcella Cornia; Lorenzo Baraldi 002; Asja Fischer; Rita Cucchiara; Battista Biggio (CoRR, 2025)

Modeling Human Gaze Behavior with Diffusion Models for Unified Scanpath Prediction. - Giuseppe Cartella; Vittorio Cuculo; Alessandro D'Amelio; Marcella Cornia; Giuseppe Boccignone; Rita Cucchiara (CoRR, 2025)