Embedding Words and Senses Together via Joint Knowledge-Enhanced Training. - Massimiliano Mancini; José Camacho-Collados; Ignacio Iacobacci; Roberto Navigli (CoNLL, 2017)

Inspiring Computer Vision System Solutions. - Julian G. Zilly; Amit Boyarski; Micael Carvalho; Amir Atapour Abarghouei; Konstantinos Amplianitis; Aleksandr Krasnov; Massimiliano Mancini; Hernán Gonzalez; Riccardo Spezialetti; Carlos Sampedro Pérez; Hao Li (CoRR, 2017)

Learning Deep NBNN Representations for Robust Place Categorization. - Massimiliano Mancini; Samuel Rota Bulò; Elisa Ricci 001; Barbara Caputo (IEEE Robotics Autom. Lett., 2017)

Boosting Domain Adaptation by Discovering Latent Domains. - Massimiliano Mancini; Lorenzo Porzi; Samuel Rota Bulò; Barbara Caputo; Elisa Ricci 001 (CVPR, 2018)

Adding New Tasks to a Single Network with Weight Transformations Using Binary Masks. - Massimiliano Mancini; Elisa Ricci 001; Barbara Caputo; Samuel Rota Bulò (ECCV Workshops (2), 2018)

Best Sources Forward: Domain Generalization through Source-Specific Nets. - Massimiliano Mancini; Samuel Rota Bulò; Barbara Caputo; Elisa Ricci 001 (ICIP, 2018)

Kitting in the Wild through Online Domain Adaptation. - Massimiliano Mancini; Hakan Karaoguz; Elisa Ricci 001; Patric Jensfelt; Barbara Caputo (IROS, 2018)

Adding New Tasks to a Single Network with Weight Trasformations using Binary Masks. - Massimiliano Mancini; Elisa Ricci 001; Barbara Caputo; Samuel Rota Bulò (CoRR, 2018)

Robust Place Categorization With Deep Domain Generalization. - Massimiliano Mancini; Samuel Rota Bulò; Barbara Caputo; Elisa Ricci 001 (IEEE Robotics Autom. Lett., 2018)

Structured Domain Adaptation for 3D Keypoint Estimation. - Levi O. Vasconcelos; Massimiliano Mancini; Davide Boscaini; Barbara Caputo; Elisa Ricci 001 (3DV, 2019)

AdaGraph: Unifying Predictive and Continuous Domain Adaptation Through Graphs. - Massimiliano Mancini; Samuel Rota Bulò; Barbara Caputo; Elisa Ricci 001 (CVPR, 2019)

Discovering Latent Domains for Unsupervised Domain Adaptation Through Consistency. - Massimiliano Mancini; Lorenzo Porzi; Fabio Cermelli; Barbara Caputo (ICIAP (2), 2019)

Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition. - Massimiliano Mancini; Hakan Karaoguz; Elisa Ricci 001; Patric Jensfelt; Barbara Caputo (ICRA, 2019)

The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots. - Fabio Cermelli; Massimiliano Mancini; Elisa Ricci 001; Barbara Caputo (IROS, 2019)

Modeling the Background for Incremental Learning in Semantic Segmentation. - Fabio Cermelli; Massimiliano Mancini; Samuel Rota Bulò; Elisa Ricci 001; Barbara Caputo (CVPR, 2020)

Towards Recognizing Unseen Categories in Unseen Domains. - Massimiliano Mancini; Zeynep Akata; Elisa Ricci 001; Barbara Caputo (ECCV (23), 2020)

Shape Consistent 2D Keypoint Estimation under Domain Shift. - Levi O. Vasconcelos; Massimiliano Mancini; Davide Boscaini; Samuel Rota Bulò; Barbara Caputo; Elisa Ricci 001 (ICPR, 2020)

A Few Guidelines for Incremental Few-Shot Segmentation. - Fabio Cermelli; Massimiliano Mancini; Yongqin Xian; Zeynep Akata; Barbara Caputo (CoRR, 2020)

Towards Recognizing New Semantic Concepts in New Visual Domains. - Massimiliano Mancini (CoRR, 2020)

Boosting binary masks for multi-domain learning through affine transformations. - Massimiliano Mancini; Elisa Ricci 001; Barbara Caputo; Samuel Rota Bulò (Mach. Vis. Appl., 2020)

Boosting Deep Open World Recognition by Clustering. - Dario Fontanel; Fabio Cermelli; Massimiliano Mancini; Samuel Rota Bulò; Elisa Ricci 001; Barbara Caputo (IEEE Robotics Autom. Lett., 2020)

Prototype-based Incremental Few-Shot Segmentation. - Fabio Cermelli; Massimiliano Mancini; Yongqin Xian; Zeynep Akata; Barbara Caputo (BMVC, 2021)

Cluster-Driven Graph Federated Learning Over Multiple Domains. - Debora Caldarola; Massimiliano Mancini; Fabio Galasso; Marco Ciccone; Emanuele Rodolà; Barbara Caputo (CVPR Workshops, 2021)

Detecting Anomalies in Semantic Segmentation With Prototypes. - Dario Fontanel; Fabio Cermelli; Massimiliano Mancini; Barbara Caputo (CVPR Workshops, 2021)

Open World Compositional Zero-Shot Learning. - Massimiliano Mancini; Muhammad Ferjad Naeem; Yongqin Xian; Zeynep Akata (CVPR, 2021)

A Closer Look at Self-Training for Zero-Label Semantic Segmentation. - Giuseppe Pastore; Fabio Cermelli; Yongqin Xian; Massimiliano Mancini; Zeynep Akata; Barbara Caputo (CVPR Workshops, 2021)

Concurrent Discrimination and Alignment for Self-Supervised Feature Learning. - Anjan Dutta 001; Massimiliano Mancini; Zeynep Akata (ICCVW, 2021)

On the Challenges of Open World Recognitionunder Shifting Visual Domains. - Dario Fontanel; Fabio Cermelli; Massimiliano Mancini; Barbara Caputo (CoRR, 2021)

Inferring Latent Domains for Unsupervised Deep Domain Adaptation. - Massimiliano Mancini; Lorenzo Porzi; Samuel Rota Bulò; Barbara Caputo; Elisa Ricci 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

On the Challenges of Open World Recognition Under Shifting Visual Domains. - Dario Fontanel; Fabio Cermelli; Massimiliano Mancini; Barbara Caputo (IEEE Robotics Autom. Lett., 2021)

Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image Retrieval. - Abhra Chaudhuri; Massimiliano Mancini; Yanbei Chen; Zeynep Akata; Anjan Dutta 001 (BMVC, 2022)

Attention Consistency on Visual Corruptions for Single-Source Domain Generalization. - Ilke Çugu; Massimiliano Mancini; Yanbei Chen; Zeynep Akata (CVPR Workshops, 2022)

KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning. - Shyamgopal Karthik; Massimiliano Mancini; Zeynep Akata (CVPR, 2022)

Abstracting Sketches Through Simple Primitives. - Stephan Alaniz; Massimiliano Mancini; Anjan Dutta 001; Diego Marcos; Zeynep Akata (ECCV (29), 2022)

BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks. - Uddeshya Upadhyay; Shyamgopal Karthik; Yanbei Chen; Massimiliano Mancini; Zeynep Akata (ECCV (12), 2022)

Relational Proxies: Emergent Relationships as Fine-Grained Discriminators. - Abhra Chaudhuri; Massimiliano Mancini; Zeynep Akata; Anjan Dutta 001 (NeurIPS, 2022)

Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation. - Fabio Cermelli; Massimiliano Mancini; Samuel Rota Bulò; Elisa Ricci 001; Barbara Caputo (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Iterative Superquadric Recomposition of 3D Objects from Multiple Views. - Stephan Alaniz; Massimiliano Mancini; Zeynep Akata (ICCV, 2023)

Image-free Classifier Injection for Zero-Shot Classification. - Anders Christensen; Massimiliano Mancini; A. Sophia Koepke; Ole Winther; Zeynep Akata (ICCV, 2023)

PDiscoNet: Semantically consistent part discovery for fine-grained recognition. - Robert van der Klis; Stephan Alaniz; Massimiliano Mancini; Cássio Fraga Dantas; Dino Ienco; Zeynep Akata; Diego Marcos (ICCV, 2023)

ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models. - Uddeshya Upadhyay; Shyamgopal Karthik; Massimiliano Mancini; Zeynep Akata (ICCV, 2023)

On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers. - Thomas De Min; Massimiliano Mancini; Karteek Alahari; Xavier Alameda-Pineda; Elisa Ricci 001 (ICCV (Workshops), 2023)

Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships. - Abhra Chaudhuri; Massimiliano Mancini; Zeynep Akata; Anjan Dutta 001 (NeurIPS, 2023)

Vocabulary-free Image Classification. - Alessandro Conti; Enrico Fini; Massimiliano Mancini; Paolo Rota; Yiming Wang 002; Elisa Ricci 001 (NeurIPS, 2023)

If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection. - Shyamgopal Karthik; Karsten Roth; Massimiliano Mancini; Zeynep Akata (CoRR, 2023)

Less is more: Summarizing Patch Tokens for efficient Multi-Label Class-Incremental Learning. - Thomas De Min; Massimiliano Mancini; Stéphane Lathuilière; Subhankar Roy; Elisa Ricci 001 (CoLLAs, 2024)

OpenBias: Open-Set Bias Detection in Text-to-Image Generative Models. - Moreno D'Incà; Elia Peruzzo; Massimiliano Mancini; Dejia Xu; Vidit Goel; Xingqian Xu; Zhangyang Wang; Humphrey Shi; Nicu Sebe (CVPR, 2024)

MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning. - Matteo Farina; Massimiliano Mancini; Elia Cunegatti; Gaowen Liu; Giovanni Iacca; Elisa Ricci 001 (CVPR, 2024)

Harnessing Large Language Models for Training-Free Video Anomaly Detection. - Luca Zanella; Willi Menapace; Massimiliano Mancini; Yiming Wang 002; Elisa Ricci 001 (CVPR, 2024)

The Phantom Menace: Unmasking Privacy Leakages in Vision-Language Models. - Simone Caldarella; Massimiliano Mancini; Elisa Ricci 001; Rahaf Aljundi (ECCV Workshops (21), 2024)

Vision-by-Language for Training-Free Compositional Image Retrieval. - Shyamgopal Karthik; Karsten Roth; Massimiliano Mancini; Zeynep Akata (ICLR, 2024)

Frustratingly Easy Test-Time Adaptation of Vision-Language Models. - Matteo Farina; Gianni Franchi; Giovanni Iacca; Massimiliano Mancini; Elisa Ricci 001 (NeurIPS, 2024)

Vocabulary-free Image Classification and Semantic Segmentation. - Alessandro Conti; Enrico Fini; Massimiliano Mancini; Paolo Rota; Yiming Wang 002; Elisa Ricci 001 (CoRR, 2024)

Automatic benchmarking of large multimodal models via iterative experiment programming. - Alessandro Conti; Enrico Fini; Paolo Rota; Yiming Wang 002; Massimiliano Mancini; Elisa Ricci 001 (CoRR, 2024)

One-Shot Unlearning of Personal Identities. - Thomas De Min; Subhankar Roy; Massimiliano Mancini; Stéphane Lathuilière; Elisa Ricci 001 (CoRR, 2024)

Benchmarking XAI Explanations with Human-Aligned Evaluations. - Rémi Kazmierczak; Steve Azzolin; Eloïse Berthier; Anna Hedström; Patricia Delhomme; Nicolas Bousquet 001; Goran Frehse; Massimiliano Mancini; Baptiste Caramiaux; Andrea Passerini; Gianni Franchi (CoRR, 2024)

Semi-Supervised and Unsupervised Deep Visual Learning: A Survey. - Yanbei Chen; Massimiliano Mancini; Xiatian Zhu; Zeynep Akata (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Learning Graph Embeddings for Open World Compositional Zero-Shot Learning. - Massimiliano Mancini; Muhammad Ferjad Naeem; Yongqin Xian; Zeynep Akata (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Relational Proxies: Fine-Grained Relationships as Zero-Shot Discriminators. - Abhra Chaudhuri; Massimiliano Mancini; Zeynep Akata; Anjan Dutta 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models. - Davide Berasi; Matteo Farina; Massimiliano Mancini; Elisa Ricci 001; Nicola Strisciuglio (CVPR, 2025)

Rethinking Few-Shot Adaptation of Vision-Language Models in Two Stages. - Matteo Farina; Massimiliano Mancini; Giovanni Iacca; Elisa Ricci 001 (CVPR, 2025)

Compositional Caching for Training-free Open-vocabulary Attribute Detection. - Marco Garosi; Alessandro Conti; Gaowen Liu; Elisa Ricci 001; Massimiliano Mancini (CVPR, 2025)

Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers. - Quentin Guimard; Moreno D'Incà; Massimiliano Mancini; Elisa Ricci 001 (CVPR, 2025)

Can Text-to-Video Generation help Video-Language Alignment? - Luca Zanella; Massimiliano Mancini; Willi Menapace; Sergey Tulyakov; Yiming Wang 002; Elisa Ricci 001 (CVPR, 2025)

One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering. - Deepayan Das; Davide Talon; Massimiliano Mancini; Yiming Wang 002; Elisa Ricci 001 (WACV, 2025)

3D Part Segmentation via Geometric Aggregation of 2D Visual Features. - Marco Garosi; Riccardo Tedoldi; Davide Boscaini; Massimiliano Mancini; Nicu Sebe; Fabio Poiesi (WACV, 2025)

Unlearning Personal Data from a Single Image. - Thomas De Min; Massimiliano Mancini; Stéphane Lathuilière; Subhankar Roy; Elisa Ricci 001 (Trans. Mach. Learn. Res., 2025)

Group-robust Machine Unlearning. - Thomas De Min; Subhankar Roy; Stéphane Lathuilière; Elisa Ricci 001; Massimiliano Mancini (CoRR, 2025)

Safe Vision-Language Models via Unsafe Weights Manipulation. - Moreno D'Incà; Elia Peruzzo; Xingqian Xu; Humphrey Shi; Nicu Sebe; Massimiliano Mancini (CoRR, 2025)

Training-Free Personalization via Retrieval and Reasoning on Fingerprints. - Deepayan Das; Davide Talon; Yiming Wang 002; Massimiliano Mancini; Elisa Ricci 001 (CoRR, 2025)

On Large Multimodal Models as Open-World Image Classifiers. - Alessandro Conti; Massimiliano Mancini; Enrico Fini; Yiming Wang 002; Paolo Rota; Elisa Ricci 001 (CoRR, 2025)

Guest Editorial: Special Issue on Multimodal Learning. - Michael Ying Yang; Paolo Rota; Massimiliano Mancini; Pietro Morerio; Bodo Rosenhahn; Vittorio Murino (Int. J. Comput. Vis., 2025)

Test-time Vocabulary Adaptation for Language-driven Object Detection. - Mingxuan Liu; Tyler L. Hayes; Massimiliano Mancini; Elisa Ricci 001; Riccardo Volpi; Gabriela Csurka (CoRR, 2025)

Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study. - Yiran Huang; Lukas Thede; Massimiliano Mancini; Wenjia Xu; Zeynep Akata (CoRR, 2025)

Training-free Online Video Step Grounding. - Luca Zanella; Massimiliano Mancini; Yiming Wang 002; Alessio Tonioni; Elisa Ricci 001 (CoRR, 2025)

GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative Models. - Moreno D'Incà; Elia Peruzzo; Massimiliano Mancini; Xingqian Xu; Humphrey Shi; Nicu Sebe (IEEE Trans. Pattern Anal. Mach. Intell., 2025)