Massimiliano Mancini

According to our database, Massimiliano Mancini authored at least 48 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., March, 2024

Semi-Supervised and Unsupervised Deep Visual Learning: A Survey.

Yanbei Chen, Massimiliano Mancini, Xiatian Zhu, Zeynep Akata

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

2023

Vision-by-Language for Training-Free Compositional Image Retrieval.

Shyamgopal Karthik, Karsten Roth, Massimiliano Mancini, Zeynep Akata

CoRR, 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

Vocabulary-free Image Classification.

Alessandro Conti, Enrico Fini, Massimiliano Mancini, Paolo Rota, Yiming Wang, Elisa Ricci

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships.

Abhra Chaudhuri, Massimiliano Mancini, Zeynep Akata, Anjan Dutta

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models.

Uddeshya Upadhyay, Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Image-free Classifier Injection for Zero-Shot Classification.

Anders Christensen, Massimiliano Mancini, A. Sophia Koepke, Ole Winther, Zeynep Akata

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Iterative Superquadric Recomposition of 3D Objects from Multiple Views.

Stephan Alaniz, Massimiliano Mancini, Zeynep Akata

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation.

Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, Barbara Caputo

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Relational Proxies: Emergent Relationships as Fine-Grained Discriminators.

Abhra Chaudhuri, Massimiliano Mancini, Zeynep Akata, Anjan Dutta

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks.

Uddeshya Upadhyay, Shyamgopal Karthik, Yanbei Chen, Massimiliano Mancini, Zeynep Akata

Proceedings of the Computer Vision - ECCV 2022, 2022

Abstracting Sketches Through Simple Primitives.

Stephan Alaniz, Massimiliano Mancini, Anjan Dutta, Diego Marcos, Zeynep Akata

Proceedings of the Computer Vision - ECCV 2022, 2022

KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning.

Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Attention Consistency on Visual Corruptions for Single-Source Domain Generalization.

Ilke Çugu, Massimiliano Mancini, Yanbei Chen, Zeynep Akata

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image Retrieval.

Abhra Chaudhuri, Massimiliano Mancini, Yanbei Chen, Zeynep Akata, Anjan Dutta

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

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

Inferring Latent Domains for Unsupervised Deep Domain Adaptation.

Massimiliano Mancini, Lorenzo Porzi, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci

IEEE Trans. Pattern Anal. Mach. Intell., 2021

On the Challenges of Open World Recognitionunder Shifting Visual Domains.

Dario Fontanel, Fabio Cermelli, Massimiliano Mancini, Barbara Caputo

CoRR, 2021

Concurrent Discrimination and Alignment for Self-Supervised Feature Learning.

Anjan Dutta, Massimiliano Mancini, Zeynep Akata

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

A Closer Look at Self-Training for Zero-Label Semantic Segmentation.

Giuseppe Pastore, Fabio Cermelli, Yongqin Xian, Massimiliano Mancini, Zeynep Akata, Barbara Caputo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Open World Compositional Zero-Shot Learning.

Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Detecting Anomalies in Semantic Segmentation With Prototypes.

Dario Fontanel, Fabio Cermelli, Massimiliano Mancini, Barbara Caputo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Cluster-Driven Graph Federated Learning Over Multiple Domains.

Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodolà, Barbara Caputo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Prototype-based Incremental Few-Shot Segmentation.

Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Boosting Deep Open World Recognition by Clustering.

Dario Fontanel, Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, Barbara Caputo

IEEE Robotics Autom. Lett., 2020

Boosting binary masks for multi-domain learning through affine transformations.

Massimiliano Mancini, Elisa Ricci, Barbara Caputo, Samuel Rota Bulò

Mach. Vis. Appl., 2020

Towards Recognizing New Semantic Concepts in New Visual Domains.

Massimiliano Mancini

CoRR, 2020

A Few Guidelines for Incremental Few-Shot Segmentation.

Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo

CoRR, 2020

Shape Consistent 2D Keypoint Estimation under Domain Shift.

Levi O. Vasconcelos, Massimiliano Mancini, Davide Boscaini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Towards Recognizing Unseen Categories in Unseen Domains.

Massimiliano Mancini, Zeynep Akata, Elisa Ricci, Barbara Caputo

Proceedings of the Computer Vision - ECCV 2020, 2020

Modeling the Background for Incremental Learning in Semantic Segmentation.

Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, Barbara Caputo

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots.

Fabio Cermelli, Massimiliano Mancini, Elisa Ricci, Barbara Caputo

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition.

Massimiliano Mancini, Hakan Karaoguz, Elisa Ricci, Patric Jensfelt, Barbara Caputo

Proceedings of the International Conference on Robotics and Automation, 2019

Discovering Latent Domains for Unsupervised Domain Adaptation Through Consistency.

Massimiliano Mancini, Lorenzo Porzi, Fabio Cermelli, Barbara Caputo

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

AdaGraph: Unifying Predictive and Continuous Domain Adaptation Through Graphs.

Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Structured Domain Adaptation for 3D Keypoint Estimation.

Levi O. Vasconcelos, Massimiliano Mancini, Davide Boscaini, Barbara Caputo, Elisa Ricci

Proceedings of the 2019 International Conference on 3D Vision, 2019

2018

Robust Place Categorization With Deep Domain Generalization.

Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci

IEEE Robotics Autom. Lett., 2018

Adding New Tasks to a Single Network with Weight Trasformations using Binary Masks.

Massimiliano Mancini, Elisa Ricci, Barbara Caputo, Samuel Rota Bulò

CoRR, 2018

Kitting in the Wild through Online Domain Adaptation.

Massimiliano Mancini, Hakan Karaoguz, Elisa Ricci, Patric Jensfelt, Barbara Caputo

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Best Sources Forward: Domain Generalization through Source-Specific Nets.

Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Adding New Tasks to a Single Network with Weight Transformations Using Binary Masks.

Massimiliano Mancini, Elisa Ricci, Barbara Caputo, Samuel Rota Bulò

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Boosting Domain Adaptation by Discovering Latent Domains.

Massimiliano Mancini, Lorenzo Porzi, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Learning Deep NBNN Representations for Robust Place Categorization.

Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, Barbara Caputo

IEEE Robotics Autom. Lett., 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

Embedding Words and Senses Together via Joint Knowledge-Enhanced Training.

Massimiliano Mancini, José Camacho-Collados, Ignacio Iacobacci, Roberto Navigli

Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017