Photo credit to Cemre Zor.
Tim Sheerman-Chase on Flickr.
I'm Associate Professor at the Department of Control and Computer Engineering of Politecnico di Torino and Affiliated Researcher at the Italian Institute of Technology.
You can contact me at tatiana.tommasi [at] polito.it
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I'm hiring a PostDoc to work on domain generalization, 3D learning, and robotics. Feel free to contact me with your CV and transcripts.
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News:
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February 2022: I received the Habilitation as Full Professor (Information Processing Systems - Abilitazione Scientifica Nazionale, professore di I fascia, SC 09/H1)
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January 2022 - Politecnico di Torino changed my title on the website, so I can say it officially: I have been awarded tenure and promoted to Associate Professor!
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Our "Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation" accepted at WACV 2022!
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I'm serving as Area Chair for CVPR 2022 and ICPR 2022
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My research has been recently featured on the Italian TV
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I'm proud to be among the Outstanding Reviewers of ICCV 2021!
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I'm proud to be among the Outstanding Reviewers of CVPR 2021!
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Our "Denoise and Contrast for Category Agnostic Shape Completion" accepted at CVPR 2021!
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Our "Self-Supervised Learning Across Domains" paper has been accepted at T-PAMI!
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I'm honored to be part of the organizing team of ECCV 2024 in Milan
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I was featured as Woman in Computer Vision for the ECCV Daily
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Two papers accepted at ECCV 2020!
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I'm co-organizer of the workshop TASK-CV: Transferring and Adapting Source Knowledge in Computer Vision at ECCV 2020
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Three papers accepted at ICPR 2020!
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I'm serving as Area Chair for CVPR 2020 and ECCV 2020
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Congratulations to Silvia and Antonio: our "Tackling Partial Domain Adaptation with Self-Supervision" won the best paper award at ICIAP 2019
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I'm co-organizer of the workshop TASK-CV: Transferring and Adapting Source Knowledge in Computer Vision at ICCV 2019
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Among the top 50% highest-scoring reviewers at NeurIPS 2019
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One paper accepted as *oral* at CVPR 2019!
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I'm serving as Area Chair for ICCV 2019, Associate Editor for ICRA 2019 and ICRA 2020
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October 2018: I'm Principal Investigator of the just accepted CHIST-ERA (ORMR) project "BURG - Benchmarks for UndeRstanding Grasping". The project involves partners at TU Wien, University of Birmingham and Spanish Scientific Research Council.
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August 2018: I received the Habilitation for Associate Professor (Computer Science - Abilitazione Scientifica Nazionale, professore di II fascia, SC 01/B1)
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July 2018: I received the Habilitation for Associate Professor (Information Processing Systems - Abilitazione Scientifica Nazionale, professore di II fascia, SC 09/H1)
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July 2018: I received the NVIDIA GPU Grant (Titan Xp) to support my research
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I'll be teaching "Life Long Learning for Intelligent Systems" at the AI-DLDA 2018 International Summer School on Artificial Intelligence in Udine
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I'm co-chairing the CVPR 2016 session on Grouping and Optimization Methods
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Research:
My research area includes computer vision and machine learning. The main topic of my work is knowledge transfer, domain adaptation and object categorization using multimodal information. I'm also interested in natural language processing, medical image analysis and robotics.
Past Experience and Education:
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December 2019 - December 2021: assistant professor at the Department of Control and Computer Engineering, Politecnico di Torino
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October 2017 - December 2018: researcher at the Italian Institute of Technology
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August 2016 - September 2017: assistant professor at the Department of Computer, Control and Management Engineering Antonio Ruberti, Sapienza University of Rome, Italy
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April 2015 - July 2016: postdoc at the University of North Carolina at Chapel Hill, in the research group headed by Prof. Tamara Berg and Alex Berg.
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May 2013 - March 2015: postdoc at KU Leuven in the research group headed by of Prof. Tinne Tuytelaars. Working on the European Project AXES.
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November 2008 - April 2013: Research Assistant at the IDIAP Research Institute, Martigny, Switzerland.
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November 2008 - April 2013: École Polytechnique Fédérale de Lausanne, Switzerland, PhD in Electrical Engineering. Thesis: "Learning to Learn by Exploiting Prior Knowledge". Advisors: Prof. B. Caputo, Prof. H. Bourlard.
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January 2005 - October 2008: University of Rome Sapienza Italy, Postgraduate School of Specialization in Medical Physics. Thesis: "Multiple Cue Integration for Medical Image Annotation". Advisors: Prof. G.E. Gigante, Dr. B. Caputo.
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October 1999 - July 2004: University of Rome Sapienza, Laurea degree in Physics. Thesis: "Color Study of skin lesions' images for identification of melanoma characteristics" Advisors: Prof. G.E. Gigante, V. Panichelli.
Honors:
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2021 - ICCV 2021 Outstanding Reviewer
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2021 - CVPR 2021 Outstanding Reviewer
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2019 - WiCV Travel Grant receiver at CVPR 2019
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2018 - Among the top 30% highest-scoring reviewers of NeurIPS 2018
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2014 - Best Paper Award, TASK-CV Workshop at ECCV.
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2012 - Google Anita Borg Memorial Scholarship. Finalist for Europe, Middle East and Africa.
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2010 - Best Poster Award, INRIA Visual Recognition and Machine Learning Summer School, Grenoble, France.
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2008 - Idiap Best Paper Award.
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2007 and 2008 - Ranked first, ImageCLEF Medical Image Annotation Task.
Links:
ECCV 2020 Tutorial on Domain Adaptation for Visual Applications
ECCV 2020 Workshop TASK-CV: Transferring and Adapting Source Knowledge in Computer Vision
ICCV 2019 Workshop TASK-CV: Transferring and Adapting Source Knowledge in Computer Vision
ECCV 2018 Workshop TASK-CV: Transferring and Adapting Source Knowledge in Computer Vision
ICCV 2017 Workshop TASK-CV: Transferring and Adapting Source Knowledge in Computer Vision
ECCV 2016 Workshop TASK-CV: Transferring and Adapting Source Knowledge in Computer Vision
ICCV 2015 Workshop TASK-CV: Transferring and Adapting Source Knowledge in Computer Vision
ECCV 2014 Tutorial on Domain Adaptation and Transfer Learning
NIPS 2014 Workshop on Transfer and Multi-Task Learning: Theory meets Practice
NIPS 2013 Workshop on Transfer and Multi-Task Learning
EPFL course: Cognitive Vision for Cognitive Systems, Fall 2010
ImageCLEF 2009 -- Medical Annotation Task
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​Last updated: March 2022.
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