Academic Year 2019 - 2020
Teaching Assistant: Nachwa Aboubakr
Wednesdays 11h15 - 12h45 in H203*
*except 9 oct., 23 oct., 18 dec.
Verify Lecture Locations in ADE
Schedule of Classes
http://crowley-coutaz.fr/jlc/Courses/2019/PRML/ENSI3.PRML.html
Class notes (pdf)
9 October 2019 Detecting and Locating Faces in Image (C005)
Lab Project 1: Detecting Faces with Color
(Oral
Presentation 6 November, Written reports due Wednesday 13
November)
UMASS FDDB: Face Detection Data Set and
Benchmark
Background Reading: [Jain and Learned-Miller 2010],
[Schwerdt-Crowley FG2000]
16 October 2019 Progamming Clinic: Python, OpenCV,
Face Image Data Bases - H203 (Nachwa Aboubakr)
23 October 2019 Performance Evaluation for Machine Learning - H202
30 October - pas de cours - Vacance de Toussaint
6 November 2019 Oral Presentations for project 1 - H203
14 novembre 2019 Project 1 written reports due by email.
No
Class - Journée éthique et developpeent durable
20 novembre 2019 No Class - programming project
27 November 2019 Viola Jones
Face Detector. - H203
Lab
Project
2: Viola Jones Faces Detector (Evaluation Criteria)
(Oral Presentations
11 December, Written reports due Wed 18 december)
Background Reading: [Viola-Jones CVPR 2001]
04 December 2019 Clustering and Non-Supervised Learning with K-Means and EM
Jeff Bilmes, A Gentle
Tutorial of the EM Algorithm
11 December 2019 Viola Jones Face Detector - Project Team
Presentations - H203
18 December 2019 Perceptrons and Gradient Descent - H202
Extra lecture:
Support Vector Machines
Background Reading: Training Support Vector Machines: An Application to Face Detection
Viola Jones Face
Detector - Project Written reports due
08 January 2020 Artificial Neural Networks: Introduction, Multi-layer networks, Backpropagation
Paper
on Xavier GLORIOT's initialisation procedure
Background Reading:
Face Detection with Neural Nets (Rowley-Kanade 1998)
Lab Project 3: Face Detection with Artificial
Neural Networks
15 January 2020 Convolutional
Neural Networks, Pooling, Architectures (lecture by Nachwa Abubakr)
Background Reading: VGG, Simonyan and Zisserman, ICLR 2015
22 January 2020 Generative Networks
Background Reading: Noh et al, Deconvolution for Semantic Segmentation. ICCV 2015
Background Reading: Kingma et al, Deep Generative Models, NIPS 2014
Background Reading: Review on Generative Adversarial Networks, Gui et al 2020
29 January 2020 Face Dection with Neural Networks - Project Team
Presentations
5 February 2020 Written reports for Lab project 3 due
by email
Annals:
Exam from Jan 2017
Exam from Jan 2019
Face Detection Data Sets:
FDDB dataset: FDDB dataset contains the annotations for 5,171 faces in a set of 2,845 images.
WIDER FACE:
A face detection benchmark dataset with 32,203 images and labels for
393,703 faces with a high degree of variability in scale, pose and
occlusion.
MALF dataset: Face Detection in the Wild. MALF consists of 5,250 images and 11,931 faces.
AFW dataset: Face Detetion in the Wild. AFW dataset is built using Flickr images. It has 205
images with 473 labeled faces.
For each face, annotations include a
rectangular bounding box, 6 landmarks and the pose angles.
IJB-A dataset: US NIST IJB-A dataset for face detection and face
recognition. IJB-A contains 24,327 images and 49,759 faces.
http://www-prima.inrialpes.fr/Prima/Homepages/jlc/Courses/2019/PRML/PRML.html
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Copyright:
Crowley, J. L. , "Class Notes - Pattern Recognition and Machine
Learning", ENSIMAG, Grenoble Institut Polytechnique,
Crée par James L.
Crowley. Last update 19 jan 2020