Tatiana Tommasi

Orcid: 0000-0001-8229-7159

Affiliations:
  • Catholic University of Leuven, Belgium


According to our database1, Tatiana Tommasi authored at least 85 papers between 2006 and 2024.

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Bibliography

2024
Segmentation Re-thinking Uncertainty Estimation Metrics for Semantic Segmentation.
CoRR, 2024

Fairness Meets Cross-Domain Learning: A Benchmark of Models and Metrics.
IEEE Access, 2024

2023
CrimeNet: Neural Structured Learning using Vision Transformer for violence detection.
Neural Networks, April, 2023

PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models.
CoRR, 2023

MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers.
CoRR, 2023

Domain Randomization via Entropy Maximization.
CoRR, 2023

OpenPatch: a 3D patchwork for Out-Of-Distribution detection.
CoRR, 2023

An Outlook into the Future of Egocentric Vision.
CoRR, 2023

Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics.
CoRR, 2023

Domain Randomization for Robust, Affordable and Effective Closed-Loop Control of Soft Robots.
IROS, 2023

PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic Spray Painting.
IROS, 2023

Large Class Separation is Not What You Need for Relational Reasoning-Based OOD Detection.
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

2022
End-to-End Learning to Grasp via Sampling From Object Point Clouds.
IEEE Robotics Autom. Lett., 2022

Self-Supervised Learning Across Domains.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Self-supervision & meta-learning for one-shot unsupervised cross-domain detection.
Comput. Vis. Image Underst., 2022

PaintNet: 3D Learning of Pose Paths Generators for Robotic Spray Painting.
CoRR, 2022

Towards Open Set 3D Learning: A Benchmark on Object Point Clouds.
CoRR, 2022

Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead.
CoRR, 2022

End-to-End Learning to Grasp from Object Point Clouds.
CoRR, 2022

Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation.
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.
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.
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.
Proceedings of the 28th IEEE International Symposium on On-Line Testing and Robust System Design, 2022

Online vs. Offline Adaptive Domain Randomization Benchmark.
Proceedings of the Human-Friendly Robotics 2022, 2022

Semantic Novelty Detection via Relational Reasoning.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Self-Supervision & Meta-Learning for One-Shot Unsupervised Cross-Domain Detection.
CoRR, 2021

Towards Fairness Certification in Artificial Intelligence.
CoRR, 2021

Translate to Adapt: RGB-D Scene Recognition across Domains.
CoRR, 2021

Multi-Modal RGB-D Scene Recognition Across Domains.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Denoise and Contrast for Category Agnostic Shape Completion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Positive-unlabeled learning for open set domain adaptation.
Pattern Recognit. Lett., 2020

Bridging the gap between Natural and Medical Images through Deep Colorization.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Rethinking Domain Generalization Baselines.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Joint Supervised and Self-Supervised Learning for 3D Real World Challenges.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

One-Shot Unsupervised Cross-Domain Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

On the Effectiveness of Image Rotation for Open Set Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Domain Generalization vs Data Augmentation: An Unbiased Perspective.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Self-Supervision for 3D Real-World Challenges.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019
Combining Multiple Cues for Visual Madlibs Question Answering.
Int. J. Comput. Vis., 2019

Learning to Generalize One Sample at a Time with Self-Supervision.
CoRR, 2019

Towards Multi-source Adaptive Semantic Segmentation.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Tackling Partial Domain Adaptation with Self-supervision.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Hallucinating Agnostic Images to Generalize Across Domains.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Domain Generalization by Solving Jigsaw Puzzles.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Agnostic Domain Generalization.
CoRR, 2018

Adaptive Deep Learning Through Visual Domain Localization.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

From Source to Target and Back: Symmetric Bi-Directional Adaptive GAN.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
A Deeper Look at Dataset Bias.
Proceedings of the Domain Adaptation in Computer Vision Applications., 2017

Backprop without Learning Rates Through Coin Betting.
CoRR, 2017

Training Deep Networks without Learning Rates Through Coin Betting.
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.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016
Learning the Roots of Visual Domain Shift.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Solving VIsual Madlibs with Multiple Cues.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
Joint cross-domain classification and subspace learning for unsupervised adaptation.
Pattern Recognit. Lett., 2015

Location recognition over large time lags.
Comput. Vis. Image Underst., 2015

Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

A Deeper Look at Dataset Bias.
Proceedings of the Pattern Recognition - 37th German Conference, 2015

2014
Learning Categories From Few Examples With Multi Model Knowledge Transfer.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

A Testbed for Cross-Dataset Analysis.
CoRR, 2014

Joint cross-domain classification and subspace learning.
CoRR, 2014

Lost in the Past: Recognizing Locations Over Large Time Lags.
CoRR, 2014

Multi-source Adaptive Learning for Fast Control of Prosthetics Hand.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

A Testbed for Cross-Dataset Analysis.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013
Improving Control of Dexterous Hand Prostheses Using Adaptive Learning.
IEEE Trans. Robotics, 2013

Frustratingly Easy NBNN Domain Adaptation.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Towards a Quantitative Measure of Rareness.
Proceedings of the Detection and Identification of Rare Audiovisual Cues, 2012

Leveraging over prior knowledge for online learning of visual categories.
Proceedings of the British Machine Vision Conference, 2012

Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer.
Proceedings of the Computer Vision - ACCV 2012, 2012

2011
Using Object Affordances to Improve Object Recognition.
IEEE Trans. Auton. Ment. Dev., 2011

Transferring activities: Updating human behavior analysis.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Multiclass transfer learning from unconstrained priors.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Learning methods for melanoma recognition.
Int. J. Imaging Syst. Technol., 2010

Object recognition using visuo-affordance maps.
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.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Idiap on Medical Image Classification.
Proceedings of the ImageCLEF, Experimental Evaluation in Visual Information Retrieval, 2010

The Medical Image Classification Task.
Proceedings of the ImageCLEF, Experimental Evaluation in Visual Information Retrieval, 2010

2009
Overview of the CLEF 2009 Medical Image Annotation Track.
Proceedings of the Working Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30, 2009

The More You Know, the Less You Learn: From Knowledge Transfer to One-shot Learning of Object Categories.
Proceedings of the British Machine Vision Conference, 2009

2008
Discriminative cue integration for medical image annotation.
Pattern Recognit. Lett., 2008

CLEF2008 Image Annotation Task: an SVM Confidence-Based Approach.
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.
Proceedings of the Evaluating Systems for Multilingual and Multimodal Information Access, 2008

2007
CLEF2007: Image Annotation Task: an SVM-based Cue Integration Approach.
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.
Proceedings of the Advances in Multilingual and Multimodal Information Retrieval, 2007

2006
Kernel Methods for Melanoma Recognition.
Proceedings of the Ubiquity: Technologies for Better Health in Aging Societies, 2006

Melanoma Recognition Using Representative and Discriminative Kernel Classifiers.
Proceedings of the Computer Vision Approaches to Medical Image Analysis, 2006


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