Massimiliano Mancini


I am an Assistant Professor (RTD-a) at the Multimedia and Human Understanding Group at the University of Trento. The goal of my work is developing algorithms for increasing the generalization capabilities of deep architectures to new visual domains and semantic concepts, focusing on problems such as domain generalization, incremental learning, and compositionality in computer vision. I am a member of ELLIS.

Bio

I completed my Ph.D. cum laude at Sapienza University of Rome in 2020, advised by Prof. Barbara Caputo and Prof. Elisa Ricci. After that, I was a postdoctoral researcher at the Explainable Machine Learning lab of University of Tübingen, led by Prof. Zeynep Akata. Previously, I received my master's degree in Artificial Intelligence and Robotics from Sapienza University of Rome in 2016, with maximum grade and excellence mention and my bachelor's degree in Computer Science and Electronic Engineering from University of Perugia in 2014. During my Ph.D. I was a member of the ELLIS PhD program, the Technologies of Vision lab at Fondazione Bruno Kessler, the Visual Learning and Multimodal Applications Laboratory of the Italian Institute of Technology, and a visiting Ph.D. student at Robotics Perception and Learning division of KTH Royal Institute of Technology.

If you come to Italy, visit my wonderful medieval hometown Monte Santa Maria Tiberina!

Publications

Vocabulary-free Image Classification
Alessandro Conti, Enrico Fini, Massimiliano Mancini, Paolo Rota, Yiming Wang, and Elisa Ricci
NeurIPS 2023, December, New Orleans (USA).
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Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships
Abhra Chaudhuri, Massimiliano Mancini, Zeynep Akata, and Anjan Dutta
NeurIPS 2023, December, New Orleans (USA).
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Iterative Superquadric Recomposition of 3D Objects from Multiple Views
Stephan Alaniz, Massimiliano Mancini, and Zeynep Akata
ICCV 2023, October, Paris (France).
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ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models
Uddeshya Upadhyay, Shyamgopal Karthik, Massimiliano Mancini, and Zeynep Akata
ICCV 2023, October, Paris (France).
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Image-free Classifier Injection for Zero-Shot Classification
Anders Christensen, Massimiliano Mancini, A. Sophia Koepke, Ole Winther and Zeynep Akata
ICCV 2023, October, Paris (France).
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PDiscoNet: Semantically consistent part discovery for fine-grained recognition
Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cassio F. Dantas, Dino Ienco, Zeynep Akata, and Diego Marcos
ICCV 2023, October, Paris (France).
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On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers
Thomas De Min, Massimiliano Mancini, Karteek Alahari, Xavier Alameda-Pineda, and Elisa Ricci
The First Workshop on Visual Continual Learning (at ICCV 2023), October, Paris (France). (Oral!)
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Relational Proxies: Emergent Relationships as Fine-Grained Discriminators
Abhra Chaudhuri, Massimiliano Mancini, Zeynep Akata, and Anjan Dutta
NeurIPS 2022, November, New Orleans (USA).
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Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image Retrieval
Abhra Chaudhuri, Massimiliano Mancini, Yanbei Chen, Zeynep Akata, and Anjan Dutta
BMVC 2022, November, London (UK).
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Abstracting Sketches through Simple Primitives
Stephan Alaniz, Massimiliano Mancini, Anjan Dutta, Diego Marcos, and Zeynep Akata
ECCV 2022, October, Tel Aviv (Israel).
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BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
Uddeshya Upadhyay, Shyamgopal Karthik, Yanbei Chen, Massimiliano Mancini, and Zeynep Akata
ECCV 2022, October, Tel Aviv (Israel).
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Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen, Massimiliano Mancini, Xiatian Zhu, and Zeynep Akata
IEEE T-PAMI 2022, August.
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Attention Consistency on Visual Corruptions for Single-Source Domain Generalization
Ilke Cugu, Massimiliano Mancini, Yanbei Chen, and Zeynep Akata
CVPR 2022 Workshop on Learning With Limited Labelled Data for Image and Video Understanding, June, New Orleans (USA).
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KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning
Shyamgopal Karthik, Massimiliano Mancini, and Zeynep Akata
CVPR 2022, June, New Orleans (USA).
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Learning Graph Embeddings for Open World Compositional Zero-Shot Learning
Massimiliano Mancini*, Muhammad Ferjad Naeem*, Yongqin Xian, and Zeynep Akata
IEEE T-PAMI 2022, March 2022.
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Revisiting Visual Product for Compositional Zero-Shot Learning
Shyamgopal Karthik, Massimiliano Mancini, and Zeynep Akata
NeurIPS 2021 Workshop on Distribution Shifts, Virtual.
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Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation
Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, and Barbara Caputo
IEEE T-PAMI, December 2021.
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Prototype-based Incremental Few-Shot Semantic Segmentation
Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, and Barbara Caputo
BMVC 2021, Virtual.
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Concurrent Discrimination and Alignment for Self-Supervised Feature Learning
Anjan Dutta, Massimiliano Mancini, and Zeynep Akata
ICCV 2021 Workshop on Multi-Task Learning in Computer Vision, Virtual.
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Detecting Anomalies in Semantic Segmentation with Prototypes
Dario Fontanel, Fabio Cermelli, Massimiliano Mancini, and Barbara Caputo
CVPR 2021 Workshop on Safe and Artificial Intelligence for Automated Driving, Virtual.
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A Closer Look at Self-training for Zero-Label Semantic Segmentation
Giuseppe Pastore, Fabio Cermelli, Yongqin Xian, Massimiliano Mancini, Zeynep Akata, and Barbara Caputo
CVPR 2021 Workshop on Learning from Limited and Imperfect Data, Virtual.
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Cluster-driven Graph Federated Learning over Multiple Domains
Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodolà, and Barbara Caputo
CVPR 2021 Workshop on Learning from Limited and Imperfect Data, Virtual.
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Open World Compositional Zero-Shot Learning
Massimiliano Mancini*, Muhammad Ferjad Naeem*, Yongqin Xian, and Zeynep Akata
CVPR 2021, Virtual.
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On the Challenges of Open World Recognition under Shifting Visual Domains
Dario Fontanel, Fabio Cermelli, Massimiliano Mancini, and Barbara Caputo
IEEE Robotics and Automation Letters, Volume 6, n.2, April 2021 and presented at ICRA 2021, Virtual.
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Shape Consistent 2D Keypoint Estimation under Domain Shift
Levi O. Vasconcelos, Massimiliano Mancini, Davide Boscaini, Samuel Rota Bulò, Barbara Caputo, and Elisa Ricci
ICPR 2020, Virtual.
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Towards Recognizing Unseen Categories in Unseen Domains
Massimiliano Mancini, Zeynep Akata, Elisa Ricci, and Barbara Caputo
ECCV 2020, Virtual.
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Boosting Deep Open World Recognition by Clustering
Dario Fontanel, Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, and Barbara Caputo
IEEE Robotics and Automation Letters, Volume 5, n.4, October 2020 and presented at IROS 2020, Virtual.
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Towards Recognizing New Semantic Concepts in New Visual Domains
Massimiliano Mancini
Ph.D. Thesis, Sapienza University of Rome.
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Boosting Binary Masks for Multi-Domain Learning through Affine Transformations
Massimiliano Mancini, Elisa Ricci, Barbara Caputo, and Samuel Rota Bulò
MVA, Volume 31, n. 42, June 2020.
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Modeling the Background for Incremental Learning in Semantic Segmentation
Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, and Barbara Caputo
CVPR 2020, Virtual.
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The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots
Fabio Cermelli, Massimiliano Mancini, Elisa Ricci, and Barbara Caputo
IROS 2019, November, Macau (China).
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Structured Domain Adaptation for 3D Keypoint Estimation
Levi O. Vasconcelos, Massimiliano Mancini, Davide Boscaini, Barbara Caputo, and Elisa Ricci
3DV 2019, September, Quebec City (Canada). (Oral!)
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Discovering Latent Domains for Unsupervised Domain Adaptation Through Consistency
Massimiliano Mancini, Lorenzo Porzi, Fabio Cermelli, and Barbara Caputo
ICIAP 2019, September, Trento (Italy).
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Inferring Latent Domains for Unsupervised Deep Domain Adaptation
Massimiliano Mancini, Lorenzo Porzi, Samuel Rota Bulò, Barbara Caputo, and Elisa Ricci
IEEE T-PAMI, Volume 43, n.2, February 2021 (published August 2019).
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AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs
Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, and Elisa Ricci
CVPR 2019, June, Long Beach (USA). (Oral!)
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Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition
Massimiliano Mancini, Hakan Karaoguz, Elisa Ricci, Patric Jensfelt, and Barbara Caputo
IROS 2018, May, Montreal (Canada).
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Adding New Tasks to a Single Network with Weight Transformations using Binary Masks
Massimiliano Mancini, Elisa Ricci, Barbara Caputo, and Samuel Rota Bulò
TASK-CV Workshop (ECCV 2018), September, Munich (Germany).
(Bestpaper Award Honorable mention!)
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Kitting in the Wild through Online Domain Adaptation
Massimiliano Mancini*, Hakan Karaoguz*, Elisa Ricci, Patric Jensfelt, and Barbara Caputo
IROS 2018, October, Madrid (Spain).
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Best sources forward: domain generalization through source-specific nets
Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, and Elisa Ricci
ICIP 2018, October, Athens (Greece).
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Boosting Domain Adaptation by Discovering Latent Domains
Massimiliano Mancini, Lorenzo Porzi, Samuel Rota Bulò, Barbara Caputo, and Elisa Ricci
CVPR 2018, June, Salt Lake City (USA). (Spotlight!)
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Robust Place Categorization With Deep Domain Generalization
Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, and Elisa Ricci
IEEE Robotics and Automation Letters, Volume 3, n. 3, July 2018.
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Learning Deep NBNN Representations for Robust Place Categorization
Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, and Barbara Caputo
IEEE Robotics and Automation Letters, Volume 2, n. 3, May 2017 and presented at IROS 2017, Vancouver (Canada).
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Embedding Words and Senses Together via Joint Knowledge-Enhanced Training
Massimiliano Mancini*, Jose Camacho-Collados*, Ignacio Iacobacci, and Roberto Navigli
CoNLL 2017
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Last update: September 2023