MIT CSAIL 6.819/6.869: Advances in Computer Vision
Fall 2018
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This schedule is preliminary and subject to change as the term evolves.

Lecture	Date	Topic	Instructor	Course Materials	Assignments
Week 1
1	Thu 9/6/2018	Introduction. Simple vision systems.	Antonio	lecture slides notes	pset 1 out code
	Fri 9/8/2018 (2-3pm 32-G449)	Matlab Tutorial 1	Ifueko		code
Week 2
	Mon 9/10/2018 (5-6pm 32-G449)	Matlab Tutorial 2	Ifueko		code
2	Tue 9/11/2018	Describing the Signal: pinhole, computational, and corner cameras.	Bill	notes slides
3	Thu 9/13/2018	Color	Bill	slides notes	pset 1 due pset 2 out
Week 3
4	Tue 9/18/2018	Geometry, Stereo, Intrinsic-Extrinsic Camera Parameters	Antonio	slides slides continued
5	Thu 9/20/2018	Signal Processing	Antonio	lecture slides projector slides notes	pset 3 out code
Week 4
6	Tue 9/25/2018	Spatial Linear Filters	Antonio	slides notes
7	Thu 9/27/2018	Temporal Linear Filters	Bill	slides notes	pset 2 due
Week 5
8	Tue 10/2/2018	Multi-Scale Pyramids	Bill	notes slides	pset 3 due
9	Thu 10/4/2018	Introduction to Bayesian Inference. Color Constancy and Demosaicing.	Bill	slides notes	pset 4 out code
Week 6
10	Thu 10/11/2018	Statistical Models for Images	Bill	slides notes notes 2	pset 4 due pset 5 out code
Week 7
11	Tue 10/16/2018	Probabilistic Graphical Models	Bill	slides notes
12	Thu 10/18/2018	Introduction to Machine Learning	Phillip	slides keynote notes	pset 5 due pset 6 out code
Week 8
13	Tue 10/23/2018	Neural Networks	Phillip	slides keynote notes 1 notes 2
14	Thu 10/25/2018	Stochastic Gradient Descent, Back Propogation	Phillip	slides keynote regularization notes optimization notes	Final Project Proposal Due
	Fri 10/26/2018 (4-231 3pm)	Pytorch Tutorial	Yue and Yonglong		code
Week 9
	Mon 10/29/2018 (66-168 12pm)	Pytorch Tutorial	Yue and Yonglong		code
15	Tue 10/30/2018	Spatial NNs, CNNs, visualization of weights	Phillip	slides keynote notes
	Tue 10/30/2018 (24-121 2pm)	Tensorflow Tutorial	Ifueko		code
	Wed 10/31/2018 (32-124 6pm)	Tensorflow Tutorial	Ray		code
16	Thu 11/01/2018	Temporal NNs, RNNs, LSTMs, Attention	Phillip	slides keynote RNN Notes RNN Blog LSTM Blog	pset 6 due Mini Places Challenges Part 1 out code validation set
Week 10
17	Tue 11/6/2018	Representation Learning	Phillips	slides keynote Autoencoder Notes Representation Learning Notes
18	Thu 11/8/2018	Scene Understanding	Phillip	slides keynote	Mini Places Challenge Part 1 due Mini Places Challenge Part 2 out code
	Thu 11/8/2018 (5-6pm 32-144)	AWS Tutorial	Abigail and Stephen		notes
	Thu 11/8/2018 (7-8pm 32-144)	AWS Tutorial	Abigail and Stephen		notes
Week 11
19	Tue 11/13/2018	Vision and Language, Image Captioning, VQA	Phillip	slides keynote
20	Thu 11/15/2018	Image Synthesis: structured prediction, generative models, GANs, autoregressive models	Phillip	slides keynote	pset 7 out code model checker Mini Places Challenge Part 2 due
Week 12
21	Tue 11/20/2018	Datasets, curation, biases, and domain adaption	Phillip	slides keynote
Week 13
22	Tue 11/27/2018	Vision for embodied agents	Phillip	slides keynote Pulkit Talk Deepak Slides Notes 1 Notes 2
23	Thu 11/29/2017	How to do research; How to write papers; How to give talks	Phillip, Antonio, Bill	Slides: Research (Bill) Slides: Papers and Talks (Bill) Slides: Research (Antonio) Slides: Research (Phillip) keynote (Phillip)	pset 7 due
Week 14
24	Tue 12/4/2018	Guest Lecture: Re-rendering Reality	Tali Dekel
25	Thu 12/6/2018	Guest Lecture: Video and 3D generation; Understanding GANs	Jun-Yan Zhu	slides
Week 15
26	Tue 12/11/2018	Final Project Presentations
25	Wed 12/12/2018				Final Project Write Up Due