Tatiana Tommasi

IEEE Robotics Autom. Lett., February, 2025

2024

An Outlook into the Future of Egocentric Vision.

[BibT_eX]

[DOI]

Giovanni Maria Farinella

Dima Damen

Int. J. Comput. Vis., November, 2024

Transient Fault Tolerant Semantic Segmentation for Autonomous Driving.

[BibT_eX]

[DOI]

Fernando Fernandes dos Santos

Niccolò Cavagnero

Giuseppe Averta

Paolo Rech

CoRR, 2024

3D Semantic Novelty Detection via Large-Scale Pre-Trained Models.

[BibT_eX]

[DOI]

Paolo Rabino

IEEE Access, 2024

Fairness Meets Cross-Domain Learning: A Benchmark of Models and Metrics.

[BibT_eX]

[DOI]

Timothy M. Hospedales

IEEE Access, 2024

Foundation Models and Fine-Tuning: A Benchmark for Out of Distribution Detection.

[BibT_eX]

[DOI]

Lorenzo Li Lu

IEEE Access, 2024

Domain Randomization via Entropy Maximization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Finding Lottery Tickets in Vision Models via Data-Driven Spectral Foresight Pruning.

[BibT_eX]

[DOI]

Marco Ciccone

Fernando J. Rendón-Segador

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

CrimeNet: Neural Structured Learning using Vision Transformer for violence detection.

[BibT_eX]

[DOI]

Juan Antonio Álvarez-García

Jose L. Salazar-González

Neural Networks, April, 2023

PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

OpenPatch: a 3D patchwork for Out-Of-Distribution detection.

[BibT_eX]

[DOI]

Paolo Rabino

CoRR, 2023

Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics.

[BibT_eX]

[DOI]

Timothy M. Hospedales

CoRR, 2023

Domain Randomization for Robust, Affordable and Effective Closed-Loop Control of Soft Robots.

[BibT_eX]

[DOI]

IROS, 2023

PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic Spray Painting.

[BibT_eX]

[DOI]

Gabriele Tiboni

Raffaello Camoriano

IROS, 2023

Large Class Separation is Not What You Need for Relational Reasoning-Based OOD Detection.

[BibT_eX]

[DOI]

Lorenzo Li Lu

Giulia D'Ascenzi

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

2022

End-to-End Learning to Grasp via Sampling From Object Point Clouds.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Self-Supervised Learning Across Domains.

[BibT_eX]

[DOI]

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

Self-supervision & meta-learning for one-shot unsupervised cross-domain detection.

[BibT_eX]

[DOI]

Salvatore Polizzotto

Comput. Vis. Image Underst., 2022

PaintNet: 3D Learning of Pose Paths Generators for Robotic Spray Painting.

[BibT_eX]

[DOI]

Gabriele Tiboni

Raffaello Camoriano

CoRR, 2022

Towards Open Set 3D Learning: A Benchmark on Object Point Clouds.

[BibT_eX]

[DOI]

Fernando Fernandes dos Santos

CoRR, 2022

Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead.

[BibT_eX]

[DOI]

Niccolò Cavagnero

CoRR, 2022

End-to-End Learning to Grasp from Object Point Clouds.

[BibT_eX]

[DOI]

CoRR, 2022

Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

3DOS: Towards 3D Open Set Learning - Benchmarking and Understanding Semantic Novelty Detection on Point Clouds.

[BibT_eX]

[DOI]

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

Contrastive Learning for Cross-Domain Open World Recognition.

[BibT_eX]

[DOI]

Fernando Fernandes dos Santos

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Transient-Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead.

[BibT_eX]

[DOI]

Niccolò Cavagnero

Proceedings of the 28th IEEE International Symposium on On-Line Testing and Robust System Design, 2022

Online vs. Offline Adaptive Domain Randomization Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Human-Friendly Robotics 2022, 2022

Semantic Novelty Detection via Relational Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Self-Supervision & Meta-Learning for One-Shot Unsupervised Cross-Domain Detection.

[BibT_eX]

[DOI]

CoRR, 2021

Towards Fairness Certification in Artificial Intelligence.

[BibT_eX]

[DOI]

CoRR, 2021

Translate to Adapt: RGB-D Scene Recognition across Domains.

[BibT_eX]

[DOI]

Andrea Ferreri

CoRR, 2021

Multi-Modal RGB-D Scene Recognition Across Domains.

[BibT_eX]

[DOI]

Andrea Ferreri

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

Denoise and Contrast for Category Agnostic Shape Completion.

[BibT_eX]

[DOI]

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

2020

Positive-unlabeled learning for open set domain adaptation.

[BibT_eX]

[DOI]

Mohammad Reza Loghmani

Markus Vincze

Pattern Recognit. Lett., 2020

Bridging the gap between Natural and Medical Images through Deep Colorization.

[BibT_eX]

[DOI]

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

Rethinking Domain Generalization Baselines.

[BibT_eX]

[DOI]

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

Joint Supervised and Self-Supervised Learning for 3D Real World Challenges.

[BibT_eX]

[DOI]

Davide Boscaini

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

One-Shot Unsupervised Cross-Domain Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

On the Effectiveness of Image Rotation for Open Set Domain Adaptation.

[BibT_eX]

[DOI]

Mohammad Reza Loghmani

Proceedings of the Computer Vision - ECCV 2020, 2020

Domain Generalization vs Data Augmentation: An Unbiased Perspective.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Self-Supervision for 3D Real-World Challenges.

[BibT_eX]

[DOI]

Davide Boscaini

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Combining Multiple Cues for Visual Madlibs Question Answering.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2019

Learning to Generalize One Sample at a Time with Self-Supervision.

[BibT_eX]

[DOI]

CoRR, 2019

Towards Multi-source Adaptive Semantic Segmentation.

[BibT_eX]

[DOI]

Paolo Russo

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

Tackling Partial Domain Adaptation with Self-supervision.

[BibT_eX]

[DOI]

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

Hallucinating Agnostic Images to Generalize Across Domains.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Domain Generalization by Solving Jigsaw Puzzles.

[BibT_eX]

[DOI]

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

2018

Agnostic Domain Generalization.

[BibT_eX]

[DOI]

CoRR, 2018

Adaptive Deep Learning Through Visual Domain Localization.

[BibT_eX]

[DOI]

Gabriele Angeletti

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

From Source to Target and Back: Symmetric Bi-Directional Adaptive GAN.

[BibT_eX]

[DOI]

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

2017

A Deeper Look at Dataset Bias.

[BibT_eX]

[DOI]

Proceedings of the Domain Adaptation in Computer Vision Applications., 2017

Backprop without Learning Rates Through Coin Betting.

[BibT_eX]

[DOI]

CoRR, 2017

Training Deep Networks without Learning Rates Through Coin Betting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning deep visual object models from noisy web data: How to make it work.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016

Learning the Roots of Visual Domain Shift.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Solving VIsual Madlibs with Multiple Cues.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Joint cross-domain classification and subspace learning for unsupervised adaptation.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2015

Location recognition over large time lags.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2015

Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

A Deeper Look at Dataset Bias.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 37th German Conference, 2015

2014

Learning Categories From Few Examples With Multi Model Knowledge Transfer.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2014

A Testbed for Cross-Dataset Analysis.

[BibT_eX]

[DOI]

CoRR, 2014

Joint cross-domain classification and subspace learning.

[BibT_eX]

[DOI]

CoRR, 2014

Lost in the Past: Recognizing Locations Over Large Time Lags.

[BibT_eX]

[DOI]

CoRR, 2014

Multi-source Adaptive Learning for Fast Control of Prosthetics Hand.

[BibT_eX]

[DOI]

Novi Patricia

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

A Testbed for Cross-Dataset Analysis.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013

Improving Control of Dexterous Hand Prostheses Using Adaptive Learning.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2013

Frustratingly Easy NBNN Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Towards a Quantitative Measure of Rareness.

[BibT_eX]

[DOI]

Proceedings of the Detection and Identification of Rare Audiovisual Cues, 2012

Leveraging over prior knowledge for online learning of visual categories.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2012

Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2012, 2012

2011

Using Object Affordances to Improve Object Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Auton. Ment. Dev., 2011

Transferring activities: Updating human behavior analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Multiclass transfer learning from unconstrained priors.

[BibT_eX]

[DOI]

Jie Luo

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

Learning methods for melanoma recognition.

[BibT_eX]

[DOI]

Elisabetta La Torre

Int. J. Imaging Syst. Technol., 2010

Object recognition using visuo-affordance maps.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Safety in numbers: Learning categories from few examples with multi model knowledge transfer.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Idiap on Medical Image Classification.

[BibT_eX]

[DOI]

Proceedings of the ImageCLEF, Experimental Evaluation in Visual Information Retrieval, 2010

The Medical Image Classification Task.

[BibT_eX]

[DOI]

Thomas Deselaers

Proceedings of the ImageCLEF, Experimental Evaluation in Visual Information Retrieval, 2010

2009

Overview of the CLEF 2009 Medical Image Annotation Track.

[BibT_eX]

[DOI]

Thomas Martin Deserno

Proceedings of the Multilingual Information Access Evaluation II. Multimedia Experiments, 2009

The More You Know, the Less You Learn: From Knowledge Transfer to One-shot Learning of Object Categories.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2009

2008

Discriminative cue integration for medical image annotation.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2008

CLEF2008 Image Annotation Task: an SVM Confidence-Based Approach.

[BibT_eX]

[DOI]

Proceedings of the Working Notes for CLEF 2008 Workshop co-located with the 12th European Conference on Digital Libraries (ECDL 2008) , 2008

An SVM Confidence-Based Approach to Medical Image Annotation.

[BibT_eX]

[DOI]

Proceedings of the Evaluating Systems for Multilingual and Multimodal Information Access, 2008

2007

CLEF2007: Image Annotation Task: an SVM-based Cue Integration Approach.

[BibT_eX]

[DOI]

Proceedings of the Working Notes for CLEF 2007 Workshop co-located with the 11th European Conference on Digital Libraries (ECDL 2007), 2007

Cue Integration for Medical Image Annotation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Multilingual and Multimodal Information Retrieval, 2007

2006

Kernel Methods for Melanoma Recognition.

[BibT_eX]

[DOI]

Proceedings of the Ubiquity: Technologies for Better Health in Aging Societies, 2006

Melanoma Recognition Using Representative and Discriminative Kernel Classifiers.

[BibT_eX]

[DOI]

Elisabetta La Torre