| 2025 | ICIAP | A Deep Learning Model to Predict GNSS from InSAR Data. | Michelangelo Caretto, Antonio Alliegro, Rosario Milazzo, Osmari Aponte, Andrea Gatti, Eugenio Realini, Lia Morra, Tatiana Tommasi |
| 2025 | ICIAP | Efficient Odd-One-Out Anomaly Detection. | Silvio Chito, Paolo Rabino, Tatiana Tommasi |
| 2025 | ICIAP | A Second-Order Perspective on Pruning at Initialization and Knowledge Transfer. | Leonardo Iurada, Beatrice Occhiena, Tatiana Tommasi |
| 2025 | ICLR | Efficient Model Editing with Task-Localized Sparse Fine-tuning. | Leonardo Iurada, Marco Ciccone, Tatiana Tommasi |
| 2025 | IROS | FoldPath: End-to-End Object-Centric Motion Generation via Modulated Implicit Paths. | Paolo Rabino, Gabriele Tiboni, Tatiana Tommasi |
| 2024 | CVPR | Finding Lottery Tickets in Vision Models via Data-Driven Spectral Foresight Pruning. | Leonardo Iurada, Marco Ciccone, Tatiana Tommasi |
| 2024 | CVPR | MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers. | Yawar Siddiqui, Antonio Alliegro, Alexey Artemov, Tatiana Tommasi, Daniele Sirigatti, Vladislav Rosov, Angela Dai, Matthias Niener |
| 2024 | ICLR | Domain Randomization via Entropy Maximization. | Gabriele Tiboni, Pascal Klink, Jan Peters, Tatiana Tommasi, Carlo D'Eramo, Georgia Chalvatzaki |
| 2023 | ICIAP | Large Class Separation is Not What You Need for Relational Reasoning-Based OOD Detection. | Lorenzo Li Lu, Giulia D'Ascenzi, Francesco Cappio Borlino, Tatiana Tommasi |
| 2023 | IROS | PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic Spray Painting. | Gabriele Tiboni, Raffaello Camoriano, Tatiana Tommasi |
| 2023 | IROS | Domain Randomization for Robust, Affordable and Effective Closed-Loop Control of Soft Robots. | Gabriele Tiboni, Andrea Protopapa, Tatiana Tommasi, Giuseppe Averta |
| 2022 | ECCV | Semantic Novelty Detection via Relational Reasoning. | Francesco Cappio Borlino, Silvia Bucci, Tatiana Tommasi |
| 2022 | IOLTS | Transient-Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead. | Niccol Cavagnero, Fernando Fernandes dos Santos, Marco Ciccone, Giuseppe Averta, Tatiana Tommasi, Paolo Rech |
| 2022 | IROS | Contrastive Learning for Cross-Domain Open World Recognition. | Francesco Cappio Borlino, Silvia Bucci, Tatiana Tommasi |
| 2022 | WACV | Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation. | Silvia Bucci, Francesco Cappio Borlino, Barbara Caputo, Tatiana Tommasi |
| 2021 | CVPR | Denoise and Contrast for Category Agnostic Shape Completion. | Antonio Alliegro, Diego Valsesia, Giulia Fracastoro, Enrico Magli, Tatiana Tommasi |
| 2020 | ECCV | Self-Supervision for 3D Real-World Challenges. | Antonio Alliegro, Davide Boscaini, Tatiana Tommasi |
| 2020 | ECCV | Domain Generalization vs Data Augmentation: An Unbiased Perspective. | Francesco Cappio Borlino, Antonio D'Innocente, Tatiana Tommasi |
| 2020 | ECCV | On the Effectiveness of Image Rotation for Open Set Domain Adaptation. | Silvia Bucci, Mohammad Reza Loghmani, Tatiana Tommasi |
| 2020 | ECCV | One-Shot Unsupervised Cross-Domain Detection. | Antonio D'Innocente, Francesco Cappio Borlino, Silvia Bucci, Barbara Caputo, Tatiana Tommasi |
| 2020 | ICPR | Joint Supervised and Self-Supervised Learning for 3D Real World Challenges. | Antonio Alliegro, Davide Boscaini, Tatiana Tommasi |
| 2020 | ICPR | Rethinking Domain Generalization Baselines. | Francesco Cappio Borlino, Antonio D'Innocente, Tatiana Tommasi |
| 2020 | ICPR | Bridging the gap between Natural and Medical Images through Deep Colorization. | Lia Morra, Luca Piano, Fabrizio Lamberti, Tatiana Tommasi |
| 2019 | CVPR | Domain Generalization by Solving Jigsaw Puzzles. | Fabio Maria Carlucci, Antonio D'Innocente, Silvia Bucci, Barbara Caputo, Tatiana Tommasi |
| 2019 | ICIAP | Tackling Partial Domain Adaptation with Self-supervision. | Silvia Bucci, Antonio D'Innocente, Tatiana Tommasi |
| 2019 | ICIAP | Towards Multi-source Adaptive Semantic Segmentation. | Paolo Russo, Tatiana Tommasi, Barbara Caputo |
| 2018 | CVPR | From Source to Target and Back: Symmetric Bi-Directional Adaptive GAN. | Paolo Russo, Fabio Maria Carlucci, Tatiana Tommasi, Barbara Caputo |
| 2018 | ICRA | Adaptive Deep Learning Through Visual Domain Localization. | Gabriele Angeletti, Barbara Caputo, Tatiana Tommasi |
| 2017 | IROS | Learning deep visual object models from noisy web data: How to make it work. | Nizar Massouh, Francesca Babiloni, Tatiana Tommasi, Jay Young, Nick Hawes, Barbara Caputo |
| 2016 | BMVC | Solving VIsual Madlibs with Multiple Cues. | Tatiana Tommasi, Arun Mallya, Bryan A. Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg |
| 2016 | ECCV | Learning the Roots of Visual Domain Shift. | Tatiana Tommasi, Martina Lanzi, Paolo Russo, Barbara Caputo |
| 2015 | ICCV | Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks. | Efstratios Gavves, Thomas Mensink, Tatiana Tommasi, Cees G. M. Snoek, Tinne Tuytelaars |
| 2014 | ECCV | A Testbed for Cross-Dataset Analysis. | Tatiana Tommasi, Tinne Tuytelaars |
| 2014 | ICPR | Multi-source Adaptive Learning for Fast Control of Prosthetics Hand. | Novi Patricia, Tatiana Tommasi, Barbara Caputo |
| 2013 | ICCV | Frustratingly Easy NBNN Domain Adaptation. | Tatiana Tommasi, Barbara Caputo |
| 2012 | ACCV | Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer. | Tatiana Tommasi, Novi Quadrianto, Barbara Caputo, Christoph H. Lampert |
| 2012 | BMVC | Leveraging over prior knowledge for online learning of visual categories. | Tatiana Tommasi, Francesco Orabona, Mohsen Kaboli, Barbara Caputo |
| 2011 | ICCV | Multiclass transfer learning from unconstrained priors. | Jie Luo, Tatiana Tommasi, Barbara Caputo |
| 2010 | CVPR | Safety in numbers: Learning categories from few examples with multi model knowledge transfer. | Tatiana Tommasi, Francesco Orabona, Barbara Caputo |
| 2010 | IROS | Object recognition using visuo-affordance maps. | Arjan Gijsberts, Tatiana Tommasi, Giorgio Metta, Barbara Caputo |
| 2009 | BMVC | The More You Know, the Less You Learn: From Knowledge Transfer to One-shot Learning of Object Categories. | Tatiana Tommasi, Barbara Caputo |
| 2006 | ECCV | Melanoma Recognition Using Representative and Discriminative Kernel Classifiers. | Tatiana Tommasi, Elisabetta La Torre, Barbara Caputo |