Deep Learning for Image Analysis

Deep learning has achieved formidable results in the image analysis field in recent years, in many cases exceeding human performance. This success opens paths for new applications, entrepreneurship and research, while making the field very competitive.

This course aims at providing the students with the theoretical and practical basis for understanding and using deep learning for image analysis applications.

Lecturers

• Etienne Decencière
• Thomas Walter
• Santiago Velasco-Forero

Download starting practical sessions structure:

https://tinyurl.com/w8m9ckf

Download shared material:

https://tinyurl.com/s6vmt8q

Invited speakers

• Marc Huertas (Canaries Astrophysics Institute)
• Maximilian Jaritz (Valeo.ai)
• Olivier Moindrot (Owkin)

Teaching assistants

• Joseph Boyd
• Leonardo Gigli
• David Duque
• Eric Bazan

Invited speakers

• Pierre Fillard (Therapixel)
• Marc Huertas-Company (Canaries Astrophysics Institute; Observatoire de Paris)
• Bogdan Stanciulescu (CAOR, MINES ParisTech)
• Pauline Luc (Facebook AI Research)

Teaching assistants

• Robin Alais
• Joseph Boyd
• Leonardo Gigli
• Peter Naylor
• Robin Alais