Mathieu Salzmann

Edit profile

mathieu.salzmann@epfl.ch +41 21 693 81 92

https://orcid.org/0000-0002-8347-8637

Google Scholar ID

EPFL SDSC
INN 218 (Bâtiment INN)
Station 14
1015 Lausanne

+41 21 693 81 92
Office: INN 238
EPFL > IC > IINFCOM > CVLAB

Web site: Web site: https://cvlab.epfl.ch/

EPFL SDSC
INN 218 (Bâtiment INN)
Station 14
1015 Lausanne

+41 21 693 81 92
Office: INN 238
EPFL > VPA-AVP-CP > SDSC > SDSC-GE

Web site: Web site: https://www.datascience.ch

EPFL SDSC
INN 218 (Bâtiment INN)
Station 14
1015 Lausanne

+41 21 693 81 92
Office: INN 238
EPFL > IC > IC-SIN > SIN-ENS

Web site: Web site: https://sin.epfl.ch

EPFL SDSC
INN 218 (Bâtiment INN)
Station 14
1015 Lausanne

+41 21 693 81 92
Office: INN 238
EPFL > CDH > CDH-SODH > SODH-ENS

EPFL SDSC
INN 218 (Bâtiment INN)
Station 14
1015 Lausanne

+41 21 693 81 92
Office: INN 238
EPFL > IC > IC-SSC > SSC-ENS

Web site: Web site: https://ssc.epfl.ch

vCard
Administrative data

Fields of expertise

Computer Vision
Machine Learning

News

- As of March 2024, I am the Deputy Chief Data Scientist of the Swiss Data Science Center (SDSC)
- 4 papers accepted to ECCV 2024
- 1 paper accepted (oral) to ACM MM 2024
- 1 paper accepted to BMVC 2024
- 1 paper accepted to ICML 2024
- 3 papers accepted to ICLR 2024
- 6 papers accepted to CVPR 2024
- Our work in collaboration with S. Süsstrunk and R. Baroni on comics reconfiguration was displayed at the EPFL Pavilion A
- 1 paper accepted to NeurIPS 2023
- 5 papers accepted to ICCV 2023
- 1 paper accepted to ICML 2023
- I am Area Chair for ICML 2023, CVPR 2023, ICCV 2023, NeurIPS 2023, AAAI 2024, ECCV 2024
- I am Action Editor for TMLR
- I am Associate Editor for IEEE TPAMI
- As of Sept 2019, I have a Courtesy Appointment with the EPFL College of Humanities

Current work

My main interests are:
- Deep learning for 2D and 3D visual scene understanding
- Efficient and robust deep learning
- Domain adaptation and generalization
- Interpretable machine learning

Biography

Mathieu Salzmann is the Deputy Chief Data Scientist of the Swiss Data Science Center (SDSC) and a Senior Scientist and Lecturer at EPFL. Between May 2020 and February 2024, he was also a part-time Senior GNC Engineer at ClearSpace. Previously, between February 2012 and June 2015, he was a Senior Researcher and Research Leader in NICTA’s computer vision research group. Prior to this, from Sept. 2010 to Jan 2012, he was a Research Assistant Professor at TTI-Chicago, and, from Feb. 2009 to Aug. 2010, a postdoctoral fellow at ICSI and EECS at UC Berkeley under the supervision of Prof. Trevor Darrell. He obtained his PhD in Jan. 2009 from EPFL under the supervision of Prof. Pascal Fua. Mathieu Salzmann’s research lies at the intersection of machine learning and visual recognition. He has published over 100 articles at top-tier peer-reviewed machine learning and computer vision venues, including CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, IEEE TPAMI, IJCV, JMLR, and IEEE TNN-LS. He regularly acts as an Area Chair for these venues and is an editorial board member for IEEE TPAMI and TMLR.

Publications

Other publications

Publications

https://scholar.google.com/citations?user=n-B0jr4AAAAJ&hl=en

Teaching & PhD

Courses

Introduction to machine learning

Machine learning and data analysis are becoming increasingly central in many sciences and applications. In this course, fundamental principles and methods of machine learning will be introduced, analyzed and practically implemented.

Machine learning for DH

This course aims to introduce the basic principles of machine learning in the context of the digital humanities. We will cover both supervised and unsupervised learning techniques, and study and implement methods to analyze diverse data types, such as images, music and social network data.

Mathieu Salzmann

Fields of expertise

News

Current work

Biography

Publications

Other publications

Publications

Teaching & PhD

Courses

Introduction to machine learning

Machine learning for DH

All postal addresses and positions