16-720 Computer Vision

Time / Location: Tue / Thu, 3:30–4:50 PM · TEP 1403

Kris KitaniInstructorOH by appt.

Ce ZhangMon · 4–5 PM ET
NSH 1604D

Wenli XiaoThu · 2–3 PM ET
Zoom

Vihaan MisraFri · 1–2 PM ET
Zoom (link in Slack)

Aviral ChhariaWed · 4–5 PM ET
Zoom

Manan ShahThu · 11 AM–12 PM ET
Location: Smith Hall Graphics Lounge

This course covers core ideas in computer vision, including image formation, filtering, recognition, geometry, 3D vision, and modern vision and generative models, with an emphasis on fundamental principles and influential recent work.

Assignments are published on this website. Enrolled students should use Canvas for announcements, due dates, and class resources.

Schedule

Date	No.	Topic	Assignments / Notes
Aug 25	L1	Intro to Computer Vision
Aug 27	L2	Image Filtering and Pyramids
Sep 1	L3	Fourier Domain
Sep 3	L4	Image Boundaries
Sep 8	L5	Feature Detection	HW1 Released: Image Features
Sep 10	L6	Feature Descriptors
Sep 15	L7	Image Representations
Sep 17	–	Checkpoint 1, lecture continuation
Sep 22	L8	Classification
Sep 24	L9	Neural Networks and Gradient Descent
Sep 29	L10	CNN	HW1 Due HW2 Released: Recognition
Oct 1	L11	CNN Detection
Oct 6	L12	Attention
Oct 8	L13	Vision Transformer
Oct 13	–	NO CLASS — Fall Break
Oct 15	–	NO CLASS — Fall Break
Oct 20	L14	2D Transformations: Euclidean, Similarity, Affine, Projective
Oct 22	–	Checkpoint 2, lecture continuation
Oct 27	L15	Homography Estimation	HW2 Due HW3 Released: Geometry and Motion
Oct 29	L16	Single-View Geometry
Nov 3	–	NO CLASS — Democracy Day
Nov 5	LX	Special Topic
Nov 10	L17	Camera Models, Pose Estimation, and Triangulation
Nov 12	L18	Epipolar Geometry
Nov 17	L19	Structure from Motion
Nov 19	–	Checkpoint 3, lecture continuation
Nov 24	L20	Stereo, Optical Flow	HW3 Due
Nov 26	–	NO CLASS — Thanksgiving
Dec 1	L21	Optical Flow, Image Alignment
Dec 3	LX	Special Topic