Tatiana Tommasi

About Tatiana Tommasi

Tatiana Tommasi, With an exceptional h-index of 29 and a recent h-index of 24 (since 2020), a distinguished researcher at Politecnico di Torino, specializes in the field of machine learning, computer vision, artificial intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Fairness meets Cross-Domain Learning: a Benchmark of Models and Metrics

PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models

Online vs. Offline Adaptive Domain Randomization Benchmark

Domain randomization for robust, affordable and effective closed-loop control of soft robots

Learning-based multi-path reconstruction for 3D object-centric robot motion planning

Large Class Separation is not what you need for Relational Reasoning-based OOD Detection

Meshgpt: Generating triangle meshes with decoder-only transformers

An outlook into the future of egocentric vision

Tatiana Tommasi Information

University

Position

___

Citations(all)

4023

Citations(since 2020)

2782

Cited By

2194

hIndex(all)

29

hIndex(since 2020)

24

i10Index(all)

49

i10Index(since 2020)

40

Email

University Profile Page

Google Scholar

Tatiana Tommasi Skills & Research Interests

machine learning

computer vision

artificial intelligence

Top articles of Tatiana Tommasi

Title

Journal

Author(s)

Publication Date

Fairness meets Cross-Domain Learning: a Benchmark of Models and Metrics

IEEE Access

Leonardo Iurada

Silvia Bucci

Timothy M Hospedales

Tatiana Tommasi

2024/4/1

PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models

arXiv preprint arXiv:2312.11417

Antonio Alliegro

Yawar Siddiqui

Tatiana Tommasi

Matthias Nießner

2023/12/18

Online vs. Offline Adaptive Domain Randomization Benchmark

Gabriele Tiboni

Karol Arndt

Giuseppe Averta

Ville Kyrki

Tatiana Tommasi

2022/9/22

Domain randomization for robust, affordable and effective closed-loop control of soft robots

Gabriele Tiboni

Andrea Protopapa

Tatiana Tommasi

Giuseppe Averta

2023/10/1

Learning-based multi-path reconstruction for 3D object-centric robot motion planning

Ruggero Nocera

2023/12/15

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

2023/9/5

Meshgpt: Generating triangle meshes with decoder-only transformers

arXiv preprint arXiv:2311.15475

Yawar Siddiqui

Antonio Alliegro

Alexey Artemov

Tatiana Tommasi

Daniele Sirigatti

...

2023/11/27

An outlook into the future of egocentric vision

arXiv preprint arXiv:2308.07123

Chiara Plizzari

Gabriele Goletto

Antonino Furnari

Siddhant Bansal

Francesco Ragusa

...

2023/8/14

Domain Randomization via Entropy Maximization

arXiv preprint arXiv:2311.01885

Gabriele Tiboni

Pascal Klink

Jan Peters

Tatiana Tommasi

Carlo D'Eramo

...

2023/11/3

Crimenet: neural structured learning using vision transformer for violence detection

Neural networks

Fernando J Rendón-Segador

Juan A Álvarez-García

Jose L Salazar-González

Tatiana Tommasi

2023/4/1

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

Paolo Rabino

Antonio Alliegro

Francesco Cappio Borlino

Tatiana Tommasi

2023/10/13

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

arXiv preprint arXiv:2303.14411

Leonardo Iurada

Silvia Bucci

Timothy M Hospedales

Tatiana Tommasi

2023/3/25

PaintNet: Unstructured multi-path learning from 3D point clouds for robotic spray painting

Gabriele Tiboni

Raffaello Camoriano

Tatiana Tommasi

2023/10/1

Visual domain adaptation in the deep learning era

Gabriela Csurka

Timothy M Hospedales

Mathieu Salzmann

Tatiana Tommasi

2022/4/5

Traditional Methods

Jaakko Husa

2024

Towards open set 3d learning: Benchmarking and understanding semantic novelty detection on pointclouds

Antonio Alliegro

Francesco Cappio Borlino

Tatiana Tommasi

2022/9/20

Hybrid Neural Knowledge Graph-to-Text and Text-to-Text Generation

Marco Saponara

2022/3/15

Self-Based Learning for DA

Gabriela Csurka

Timothy M Hospedales

Mathieu Salzmann

Tatiana Tommasi

2022

Transient-fault-aware design and training to enhance DNNs reliability with zero-overhead

Niccolò Cavagnero

Fernando Dos Santos

Marco Ciccone

Giuseppe Averta

Tatiana Tommasi

...

2022/9/12

3dos: Towards 3d open set learning-benchmarking and understanding semantic novelty detection on point clouds

Advances in Neural Information Processing Systems

Antonio Alliegro

Francesco Cappio Borlino

Tatiana Tommasi

2022/12/6

See List of Professors in Tatiana Tommasi University(Politecnico di Torino)