Class schedule (16-720, Spring 2026).xlsx

	A	B	C	D
1	Date	Topic	References	Items Due
2	1/13	Introduction		[First class]
3	1/15	Filters
4	1/20	Edges		HW0 - Python Intro (not graded)
5	1/22	Texture
6	1/27	Linear algebra review
7	1/29	Warping		HW1 - HOG Image Classification
8	2/3	Alignment
9	2/5	Frequency
10	2/10	Correspondence
11	2/12	Descriptors		HW2 - LK Tracking
12	2/17	Image Formation
13	2/19	Cameras
14	2/24	Motion
15	2/26	Flow		HW3 - Homographies
16	3/3	NO CLASS [Spring Break]
17	3/5	NO CLASS [Spring Break]
18	3/10	Two-view
19	3/12	Stereo
20	3/17	SFM
21	3/19	Recognition		HW4 - Reconstruction
22	3/24	Classifiers
23	3/26	MLPs
24	3/31	CNNs
25	4/2	Training Recipes	Guest lecture
26	4/7	Interpreting Networks		HW5 - Neural Networks
27	4/9	NO CLASS [Spring Carnival]
28	4/14	Radiometry
29	4/16	Color
30	4/21	Recent Trends / Catchup
31	4/23	Recent Trends / Catchup		HW6 - Photometric Stereo
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34	Image Processing
35	Geometry
36	Recognition
37	Radiometry
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