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	Lecture slides "Introduction to Deep Learning"
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	Lecture slides "Transformers - GAN - VAE - Diffusion"
Friday 12/15/23 8:30--11:45	Uncertainty + Semantic Segmentation Optional Homework (bonus 1 point): participate to CVPR 2024 AI Art Exhibition Script example #1 Script example #2 HW Report expected for Jan, 22!	Gianni FRANCHI	Lecture slides "Semantic segmentation"
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	Link to the Colab notebook
Friday 1/12/24 8:30--11:45	Tracking by detection Explainable AI: TP Report expected for March, 4!	Gianni FRANCHI	Lecture slides "Tracking by detection" Lecture slides "Explainable AI" Link to the Colab notebook for XAI
Friday 1/19/24 8:30--11:45	Visual Object Tracking Object Tracking: TP Report expected for March, 12!	Antoine MANZANERA Marwane HARIAT	Lecture slides "Visual Object Tracking" Instruction TP Code Python-OpenCV Test videos
Friday 1/26/24 8:30--11:45	Written exam	Marwane HARIAT Rémi KAZMIERCZAK