Melanoma Recognition Using Representative and Discriminative Kernel Classifiers. - Tatiana Tommasi; Elisabetta La Torre; Barbara Caputo (CVAMIA, 2006)

Kernel Methods for Melanoma Recognition. - Elisabetta La Torre; Tatiana Tommasi; Barbara Caputo; Giovanni E. Gigante (MIE, 2006)

Cue Integration for Medical Image Annotation. - Tatiana Tommasi; Francesco Orabona; Barbara Caputo (CLEF, 2007)

CLEF2007: Image Annotation Task: an SVM-based Cue Integration Approach. - Tatiana Tommasi; Francesco Orabona; Barbara Caputo (CLEF (Working Notes), 2007)

An SVM Confidence-Based Approach to Medical Image Annotation. - Tatiana Tommasi; Francesco Orabona; Barbara Caputo (CLEF, 2008)

CLEF2008 Image Annotation Task: an SVM Confidence-Based Approach. - Tatiana Tommasi; Francesco Orabona; Barbara Caputo (CLEF (Working Notes), 2008)

Discriminative cue integration for medical image annotation. - Tatiana Tommasi; Francesco Orabona; Barbara Caputo (Pattern Recognit. Lett., 2008)

The More You Know, the Less You Learn: From Knowledge Transfer to One-shot Learning of Object Categories. - Tatiana Tommasi; Barbara Caputo (BMVC, 2009)

Overview of the CLEF 2009 Medical Image Annotation Track. - Tatiana Tommasi; Barbara Caputo; Petra Welter; Mark Oliver Güld; Thomas Martin Deserno (CLEF (2), 2009)

The Medical Image Classification Task. - Tatiana Tommasi; Thomas Deselaers (ImageCLEF, 2010)

Idiap on Medical Image Classification. - Tatiana Tommasi; Francesco Orabona (ImageCLEF, 2010)

Safety in numbers: Learning categories from few examples with multi model knowledge transfer. - Tatiana Tommasi; Francesco Orabona; Barbara Caputo (CVPR, 2010)

Object recognition using visuo-affordance maps. - Arjan Gijsberts; Tatiana Tommasi; Giorgio Metta; Barbara Caputo (IROS, 2010)

Learning methods for melanoma recognition. - Elisabetta La Torre; Barbara Caputo; Tatiana Tommasi (Int. J. Imaging Syst. Technol., 2010)

Multiclass transfer learning from unconstrained priors. - Jie Luo; Tatiana Tommasi; Barbara Caputo (ICCV, 2011)

Transferring activities: Updating human behavior analysis. - Fabian Nater; Tatiana Tommasi; Helmut Grabner; Luc Van Gool; Barbara Caputo (ICCV Workshops, 2011)

Using Object Affordances to Improve Object Recognition. - Claudio Castellini; Tatiana Tommasi; Nicoletta Noceti; Francesca Odone; Barbara Caputo (IEEE Trans. Auton. Ment. Dev., 2011)

Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer. - Tatiana Tommasi; Novi Quadrianto; Barbara Caputo; Christoph H. Lampert (ACCV (1), 2012)

Leveraging over prior knowledge for online learning of visual categories. - Tatiana Tommasi; Francesco Orabona; Mohsen Kaboli; Barbara Caputo (BMVC, 2012)

Towards a Quantitative Measure of Rareness. - Tatiana Tommasi; Barbara Caputo (Detection and Identification of Rare Audiovisual Cues, 2012)

Frustratingly Easy NBNN Domain Adaptation. - Tatiana Tommasi; Barbara Caputo (ICCV, 2013)

Improving Control of Dexterous Hand Prostheses Using Adaptive Learning. - Tatiana Tommasi; Francesco Orabona; Claudio Castellini; Barbara Caputo (IEEE Trans. Robotics, 2013)

A Testbed for Cross-Dataset Analysis. - Tatiana Tommasi; Tinne Tuytelaars (ECCV Workshops (3), 2014)

Multi-source Adaptive Learning for Fast Control of Prosthetics Hand. - Novi Patricia; Tatiana Tommasi; Barbara Caputo (ICPR, 2014)

Lost in the Past: Recognizing Locations Over Large Time Lags. - Basura Fernando; Tatiana Tommasi; Tinne Tuytelaars (CoRR, 2014)

Joint cross-domain classification and subspace learning. - Basura Fernando; Tatiana Tommasi; Tinne Tuytelaars (CoRR, 2014)

A Testbed for Cross-Dataset Analysis. - Tatiana Tommasi; Tinne Tuytelaars; Barbara Caputo (CoRR, 2014)

Learning Categories From Few Examples With Multi Model Knowledge Transfer. - Tatiana Tommasi; Francesco Orabona; Barbara Caputo (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

A Deeper Look at Dataset Bias. - Tatiana Tommasi; Novi Patricia; Barbara Caputo; Tinne Tuytelaars (GCPR, 2015)

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 (ICCV, 2015)

Location recognition over large time lags. - Basura Fernando; Tatiana Tommasi; Tinne Tuytelaars (Comput. Vis. Image Underst., 2015)

Joint cross-domain classification and subspace learning for unsupervised adaptation. - Basura Fernando; Tatiana Tommasi; Tinne Tuytelaars (Pattern Recognit. Lett., 2015)

Solving VIsual Madlibs with Multiple Cues. - Tatiana Tommasi; Arun Mallya; Bryan A. Plummer; Svetlana Lazebnik; Alexander C. Berg; Tamara L. Berg (BMVC, 2016)

Learning the Roots of Visual Domain Shift. - Tatiana Tommasi; Martina Lanzi; Paolo Russo 001; Barbara Caputo (ECCV Workshops (3), 2016)

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 (IROS, 2017)

Training Deep Networks without Learning Rates Through Coin Betting. - Francesco Orabona; Tatiana Tommasi (NIPS, 2017)

Backprop without Learning Rates Through Coin Betting. - Francesco Orabona; Tatiana Tommasi (CoRR, 2017)

A Deeper Look at Dataset Bias. - Tatiana Tommasi; Novi Patricia; Barbara Caputo; Tinne Tuytelaars (Domain Adaptation in Computer Vision Applications, 2017)

From Source to Target and Back: Symmetric Bi-Directional Adaptive GAN. - Paolo Russo 001; Fabio Maria Carlucci; Tatiana Tommasi; Barbara Caputo (CVPR, 2018)

Adaptive Deep Learning Through Visual Domain Localization. - Gabriele Angeletti; Barbara Caputo; Tatiana Tommasi (ICRA, 2018)

Agnostic Domain Generalization. - Fabio Maria Carlucci; Paolo Russo 001; Tatiana Tommasi; Barbara Caputo (CoRR, 2018)

Domain Generalization by Solving Jigsaw Puzzles. - Fabio Maria Carlucci; Antonio D'Innocente; Silvia Bucci; Barbara Caputo; Tatiana Tommasi (CVPR, 2019)

Hallucinating Agnostic Images to Generalize Across Domains. - Fabio Maria Carlucci; Paolo Russo 001; Tatiana Tommasi; Barbara Caputo (ICCV Workshops, 2019)

Tackling Partial Domain Adaptation with Self-supervision. - Silvia Bucci; Antonio D'Innocente; Tatiana Tommasi (ICIAP (2), 2019)

Towards Multi-source Adaptive Semantic Segmentation. - Paolo Russo 001; Tatiana Tommasi; Barbara Caputo (ICIAP (1), 2019)

Learning to Generalize One Sample at a Time with Self-Supervision. - Antonio D'Innocente; Silvia Bucci; Barbara Caputo; Tatiana Tommasi (CoRR, 2019)

Combining Multiple Cues for Visual Madlibs Question Answering. - Tatiana Tommasi; Arun Mallya; Bryan A. Plummer; Svetlana Lazebnik; Alexander C. Berg; Tamara L. Berg (Int. J. Comput. Vis., 2019)

Self-Supervision for 3D Real-World Challenges. - Antonio Alliegro; Davide Boscaini; Tatiana Tommasi (ECCV Workshops (1), 2020)

Domain Generalization vs Data Augmentation: An Unbiased Perspective. - Francesco Cappio Borlino; Antonio D'Innocente; Tatiana Tommasi (ECCV Workshops (1), 2020)

On the Effectiveness of Image Rotation for Open Set Domain Adaptation. - Silvia Bucci; Mohammad Reza Loghmani; Tatiana Tommasi (ECCV (16), 2020)

One-Shot Unsupervised Cross-Domain Detection. - Antonio D'Innocente; Francesco Cappio Borlino; Silvia Bucci; Barbara Caputo; Tatiana Tommasi (ECCV (16), 2020)

Joint Supervised and Self-Supervised Learning for 3D Real World Challenges. - Antonio Alliegro; Davide Boscaini; Tatiana Tommasi (ICPR, 2020)

Rethinking Domain Generalization Baselines. - Francesco Cappio Borlino; Antonio D'Innocente; Tatiana Tommasi (ICPR, 2020)

Bridging the gap between Natural and Medical Images through Deep Colorization. - Lia Morra; Luca Piano; Fabrizio Lamberti; Tatiana Tommasi (ICPR, 2020)

Positive-unlabeled learning for open set domain adaptation. - Mohammad Reza Loghmani; Markus Vincze; Tatiana Tommasi (Pattern Recognit. Lett., 2020)

Denoise and Contrast for Category Agnostic Shape Completion. - Antonio Alliegro; Diego Valsesia; Giulia Fracastoro; Enrico Magli; Tatiana Tommasi (CVPR, 2021)

Multi-Modal RGB-D Scene Recognition Across Domains. - Andrea Ferreri; Silvia Bucci; Tatiana Tommasi (ICCVW, 2021)

Translate to Adapt: RGB-D Scene Recognition across Domains. - Andrea Ferreri; Silvia Bucci; Tatiana Tommasi (CoRR, 2021)

Towards Fairness Certification in Artificial Intelligence. - Tatiana Tommasi; Silvia Bucci; Barbara Caputo; Pietro Asinari (CoRR, 2021)

Self-Supervision & Meta-Learning for One-Shot Unsupervised Cross-Domain Detection. - Francesco Cappio Borlino; Salvatore Polizzotto; Antonio D'Innocente; Silvia Bucci; Barbara Caputo; Tatiana Tommasi (CoRR, 2021)

Semantic Novelty Detection via Relational Reasoning. - Francesco Cappio Borlino; Silvia Bucci; Tatiana Tommasi (ECCV (25), 2022)

Online vs. Offline Adaptive Domain Randomization Benchmark. - Gabriele Tiboni; Karol Arndt; Giuseppe Averta; Ville Kyrki; Tatiana Tommasi (HFR, 2022)

Transient-Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead. - Niccolò Cavagnero; Fernando Fernandes dos Santos; Marco Ciccone; Giuseppe Averta; Tatiana Tommasi; Paolo Rech (IOLTS, 2022)

Contrastive Learning for Cross-Domain Open World Recognition. - Francesco Cappio Borlino; Silvia Bucci; Tatiana Tommasi (IROS, 2022)

3DOS: Towards 3D Open Set Learning - Benchmarking and Understanding Semantic Novelty Detection on Point Clouds. - Antonio Alliegro; Francesco Cappio Borlino; Tatiana Tommasi (NeurIPS, 2022)

Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation. - Silvia Bucci; Francesco Cappio Borlino; Barbara Caputo; Tatiana Tommasi (WACV, 2022)

End-to-End Learning to Grasp from Object Point Clouds. - Antonio Alliegro; Martin Rudorfer; Fabio Frattin; Ales Leonardis; Tatiana Tommasi (CoRR, 2022)

Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead. - Niccolò Cavagnero; Fernando Fernandes dos Santos; Marco Ciccone; Giuseppe Averta; Tatiana Tommasi; Paolo Rech (CoRR, 2022)

Towards Open Set 3D Learning: A Benchmark on Object Point Clouds. - Antonio Alliegro; Francesco Cappio Borlino; Tatiana Tommasi (CoRR, 2022)

PaintNet: 3D Learning of Pose Paths Generators for Robotic Spray Painting. - Gabriele Tiboni; Raffaello Camoriano; Tatiana Tommasi (CoRR, 2022)

Self-supervision & meta-learning for one-shot unsupervised cross-domain detection. - Francesco Cappio Borlino; Salvatore Polizzotto; Barbara Caputo; Tatiana Tommasi (Comput. Vis. Image Underst., 2022)

Self-Supervised Learning Across Domains. - Silvia Bucci; Antonio D'Innocente; Yujun Liao; Fabio Maria Carlucci; Barbara Caputo; Tatiana Tommasi (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

End-to-End Learning to Grasp via Sampling From Object Point Clouds. - Antonio Alliegro; Martin Rudorfer; Fabio Frattin; Ales Leonardis; Tatiana Tommasi (IEEE Robotics Autom. Lett., 2022)

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 (ICIAP (2), 2023)

PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic Spray Painting. - Gabriele Tiboni; Raffaello Camoriano; Tatiana Tommasi (IROS, 2023)

Domain Randomization for Robust, Affordable and Effective Closed-Loop Control of Soft Robots. - Gabriele Tiboni; Andrea Protopapa; Tatiana Tommasi; Giuseppe Averta (IROS, 2023)

Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics. - Leonardo Iurada; Silvia Bucci; Timothy M. Hospedales; Tatiana Tommasi (CoRR, 2023)

OpenPatch: a 3D patchwork for Out-Of-Distribution detection. - Paolo Rabino; Antonio Alliegro; Francesco Cappio Borlino; Tatiana Tommasi (CoRR, 2023)

PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models. - Antonio Alliegro; Yawar Siddiqui; Tatiana Tommasi; Matthias Nießner (CoRR, 2023)

CrimeNet: Neural Structured Learning using Vision Transformer for violence detection. - Fernando J. Rendón-Segador; Juan Antonio Álvarez-García; Jose L. Salazar-González; Tatiana Tommasi (Neural Networks, 2023)

Finding Lottery Tickets in Vision Models via Data-Driven Spectral Foresight Pruning. - Leonardo Iurada; Marco Ciccone; Tatiana Tommasi (CVPR, 2024)

MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers. - Yawar Siddiqui; Antonio Alliegro; Alexey Artemov; Tatiana Tommasi; Daniele Sirigatti; Vladislav Rosov; Angela Dai; Matthias Nießner (CVPR, 2024)

Domain Randomization via Entropy Maximization. - Gabriele Tiboni; Pascal Klink; Jan Peters 001; Tatiana Tommasi; Carlo D'Eramo; Georgia Chalvatzaki (ICLR, 2024)

Foundation Models and Fine-Tuning: A Benchmark for Out of Distribution Detection. - Francesco Cappio Borlino; Lorenzo Li Lu; Tatiana Tommasi (IEEE Access, 2024)

Fairness Meets Cross-Domain Learning: A Benchmark of Models and Metrics. - Leonardo Iurada; Silvia Bucci; Timothy M. Hospedales; Tatiana Tommasi (IEEE Access, 2024)

3D Semantic Novelty Detection via Large-Scale Pre-Trained Models. - Paolo Rabino; Antonio Alliegro; Tatiana Tommasi (IEEE Access, 2024)

Transient Fault Tolerant Semantic Segmentation for Autonomous Driving. - Leonardo Iurada; Niccolò Cavagnero; Fernando Fernandes dos Santos; Giuseppe Averta; Paolo Rech; Tatiana Tommasi (CoRR, 2024)

An Outlook into the Future of Egocentric Vision. - Chiara Plizzari; Gabriele Goletto; Antonino Furnari; Siddhant Bansal; Francesco Ragusa; Giovanni Maria Farinella; Dima Damen; Tatiana Tommasi (Int. J. Comput. Vis., 2024)

Efficient Model Editing with Task-Localized Sparse Fine-tuning. - Leonardo Iurada; Marco Ciccone; Tatiana Tommasi (ICLR, 2025)

Hier-EgoPack: Hierarchical Egocentric Video Understanding with Diverse Task Perspectives. - Simone Alberto Peirone; Francesca Pistilli; Antonio Alliegro; Tatiana Tommasi; Giuseppe Averta (CoRR, 2025)

MaskPlanner: Learning-Based Object-Centric Motion Generation from 3D Point Clouds. - Gabriele Tiboni; Raffaello Camoriano; Tatiana Tommasi (CoRR, 2025)

A Modern Take on Visual Relationship Reasoning for Grasp Planning. - Paolo Rabino; Tatiana Tommasi (IEEE Robotics Autom. Lett., 2025)

FORESCENE: FOREcasting human activity via latent SCENE graphs diffusion. - Antonio Alliegro; Francesca Pistilli; Tatiana Tommasi; Giuseppe Averta (CoRR, 2025)

Learning reusable concepts across different egocentric video understanding tasks. - Simone Alberto Peirone; Francesca Pistilli; Antonio Alliegro; Tatiana Tommasi; Giuseppe Averta (CoRR, 2025)