Personalizing MLLMs via Reinforced Multimodal Reference Gamem
Deepayan Das, Davide Talon, Yiming Wang, Massimiliano Mancini, Elisa Ricci (July 7, 2026)
European Conference on Computer Vision (ECCV) , 2026
Link: Personalizing MLLMs via Reinforced Multimodal Reference Game | Zenodo

From Weights to Concepts: Data-Free Interpretability of CLIP via Singular Vector Decomposition
Francesco Gentile, Nicola Dall’Asen, Francesco Tonini, Massimiliano Mancini, Lorenzo Vaquero, Elisa Ricci (June 4, 2026)
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Link: From Weights to Concepts: Data-Free Interpretability of CLIP via Singular Vector Decomposition

SEM: Sparse Embedding Modulation for Post-Hoc Debiasing of Vision-Language Models
Quentin Guimard, Federico Bartsch, Simone Caldarella, Rahaf Aljundi, Elisa Ricci, Massimiliano Mancini (June 4, 2026)
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings
Link: SEM: Sparse Embedding Modulation for Post-Hoc Debiasing of Vision-Language Models

Large Multimodal Models as General In-Context Classifiers
Marco Garosi, Matteo Farina, Alessandro Conti, Massimiliano Mancini, Elisa Ricci (June 4, 2026)
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings
Link: Large Multimodal Models as General In-Context Classifiers

Training-Free Semantic Multi-Object Tracking with Vision-Language Models
Laurence Bonat, Francesco Tonini, Elisa Ricci, Lorenzo Vaquero(April 15, 2026)
2026 International Conference on Automatic Face and Gesture Recognition (FG), Kyoto
Link: Training-Free Semantic Multi-Object Tracking with Vision-Language Models | Zenodo

Towards Unconstrained Human-Object Interaction
Tonini Francesco, Alessandro Conti, Lorenzo Vaquero, Cigdem Beyan, Elisa Ricci (April 10, 2026)
2026 International Conference on Automatic Face and Gesture Recognition (FG) , Kyoto
Link: Towards Unconstrained Human-Object Interaction | Zenodo

A Comparative Analysis on the Performance of Upper Confidence Bound Algorithms in Adaptive Deep Neural Networks
Grigorios Papanikolaou, Ioannis Kontopoulos, Konstantinos Tserpes (April 2026.)
IEEE SMARTCOMP 2026
Link: A Comparative Analysis on the Performance of Upper Confidence Bound Algorithms in Adaptive Deep Neural Networks