Lucas Stoffl (Preferred)
Lucas Stoffl
PhD student, EPFL - EPF Lausanne
- Joined November 2022
Names
Emails
****@epfl.ch (Confirmed)
Personal Links
Education & Career History
PhD student
EPFL - EPF Lausanne (epfl.ch)
2020 – Present
MS student
Technische Universität München (tum.de)
2017 – 2020
Intern
Columbia University (columbia.edu)
2019 – 2019
Intern
University of Manchester (cs.manchester.ac.uk)
2018 – 2018
Intern
University of Waterloo (uwaterloo.ca)
2018 – 2018
Undergrad student
Department of Informatics, Technische Universität München (in.tum.de)
2013 – 2017
Intern
University of Roma "La Sapienza" (uniroma1.it)
2015 – 2016
Advisors, Relations & Conflicts
Expertise
pose estimation, tracking, action recognition/segmentation
2020 – Present
self-supervised learning, multi-modal learning, representation learning
2020 – Present
deep learning, computer vision
2016 – Present