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3A - Parcours IA : IA 323 / Robotique : ROB 313

Deep Learning based Computer Vision

Programmation 2023-2024


Professeurs :
  • Gianni FRANCHI
  • Antoine MANZANERA

Chargés de TP :

  • Marwane HARIAT
  • Rémi KAZMIERCZAK

Modalités de contrôle des connaissances :

  • Comptes-rendus de TPs sur machine + Examen écrit

This course presents a wide panorama of recent computer vision methods based on machine learning.

CRÉNEAU
  DESCRIPTION DE LA SÉANCE
PROF. / CHARGES DE TP
RESSOURCES
Friday 12/1/23
8:30--11:45
  • Introduction to Deep Learning
Gianni FRANCHI
Friday 12/8/23
8:30--11:45
  • GAN + VAE + diffusion + normalising flow
  • Optional Homework (bonus 2 points) - choose between one of these (See example from Diffusion model here)
    • HW1: Code (on colab) one generative network using Conditional GAN trained on Fashion MNIST dataset
    • HW1bis: Code (on colab) one VQ-VAE trained on Fashion MNIST dataset
Gianni FRANCHI
Friday 12/15/23
8:30--11:45
Gianni FRANCHI
Friday 12/22/23
8:30--11:45
  • TP Deep Learning : Semantic Segmentation
    • TP Report expected for Jan, 22!
Gianni FRANCHI
Rémi KAZMIERCZAK
Marwane HARIAT
Friday 1/12/24
8:30--11:45
  • Tracking by detection
  • Explainable AI: TP Report expected for March, 4!
Gianni FRANCHI
Friday 1/19/24
8:30--11:45
  • Visual Object Tracking
  • Object Tracking: TP Report expected for March, 12!
Antoine MANZANERA
Marwane HARIAT
Friday 1/26/24
8:30--11:45
  • Written exam
Marwane HARIAT
Rémi KAZMIERCZAK