Jean-Marc Odobez
EPFL STI IEM LIDIAP
ELD 241 (Bâtiment ELD)
Station 11
1015 Lausanne
+41 21 693 16 38
EPFL › STI › IEM › LIDIAP
Website: https://idiap.epfl.ch/
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EPFL › VPA › VPA-AVP-DLE › AVP-DLE-EDOC › EDEE-GE
Website: https://go.epfl.ch/phd-edee
Expertise
Activity analysis, human behavior understanding, human communication, interaction modeling
His research interests are the design of multimodal perception systems rooted in computer vision, statistical machine learning and deep learning, or social sciences, for activity and behavior recognition, human-human or human-robot interaction modeling and understanding. Application domains include human health assessment, social robotics, or media content analysis. He has published more than 50 journals and 160 conference refereed papers in his research field. He has been the principal investigator of more than 16 European and Swiss projects, and has worked on 10 tech transfer projects with SMEs. He holds several patents in computer vision, and is the cofounder of Klewel SA (www.klewel.ch) and Eyeware SA (eyeware.tech), a tech company in eye tracking and attention modeling. He is an IEEE member and associate editor of the Machine Vision and Application journal. He regularly serves as area chair for the ICMI, ICCV, CVPR or ECCV conferences.
Education
PhD
| Computer Science1994 – 1994 Rennes I University
Engineering Degree
|1990 – 1990 ENST Bretagne (Ecole Nationale d'Ing�nieur des T�l�coms de Bretagne)
Infoscience
Teaching & PhD
PhD Students
Yesmine Abdennadher, Karl El Hajal, João Pedro Gandarela de Souza, Vivek Samir Gupte, Nawal Haidar, Hadi Hammoud, Manon Laurence L. Haulotte, Mingchi Hou, Danilo Miranda Gusicuma, Anirban Mukherjee, Mojtaba Nafez, Gökhan Özbulak, Shalutha Navindu Rajapakshe Rajapakshe Mudiyanselage, Mahshid Shiri, Elija Maria Vida, Pierre François Marie Vuillecard, Hasindri Sankalpana Watawana
Past EPFL PhD Students
Alexandre Samuel Philippe Bittar (2024), Roberto Boghetti (2026), Julian David Fritsch (2023), Kenneth Alberto Funes Mora (2015), Hakan Girgin (2023), Weipeng He (2021), Alexandre Heili (2014), Enno Hermann (2023), Christian Jaques (2020), Thibaut Antoine Kulak (2021), Do Hoang Nam Le (2019), Teguh Santoso Lembono (2022), Olivia Mariani (2021), Angel Noe Martinez Gonzalez (2021), Alejandro Ramírez Atrio (2023), Samira Sheikhi (2014), Rémy Alain Siegfried (2021), Samy Tafasca (2026), Jagannadan Varadarajan (2012), Yu Yu (2020)
Past EPFL PhD Students as codirector
Silèye Oumar Ba (2007), Gülcan Can (2017), Guillaume Lathoud (2006), Edgar Roman Rangel (2013), Pedro Manuel Da Silva Quelhas (2007)
Courses
Machine Learning for Engineers
EE-613
The objective of this course is to give an overview of machine learning techniques used for real-world applications, and to teach how to implement and use them in practice. Laboratories will be done in python using jupyter notebooks.