Schedule — Modern Computer Vision

Wk	Date	Lecture	Tutorial	Assignments	Resources
1	Apr 12	Basics of Imaging	PyTorch + Point Ops	HW 1 Open on Moodle → Due: Apr 26 Extended to May 17	Lecture Slides 📹 Lecture Recording Tutorial Slides Conv 1D Demo Filters 2D Demo Lens & Focus Demo
2	Apr 19	ML Basics	Linear Classification		Lecture Slides 📹 Lecture Recording Tutorial Slides
—	Apr 26 – May 10	No class — Exam period (semester paused 2 weeks)			—
3	May 17	Neural Networks	PyTorch Autograd	HW 2 Open on Moodle → Due: May 31	Lecture Slides 📹 Lecture Recording Tutorial Slides
4	May 24	Frequencies & Sampling	Image Pyramids	HW 2 Open on Moodle → Due: May 31	Lecture Slides 📹 Lecture Recording Tutorial Slides FT Explorer FT Explorer 2D FT Filter Explorer Resize Simulation
5	May 31	CNNs	Adversarial Examples	HW 3 Open on Moodle → Due: Jun 21	Lecture Slides 📹 Lecture Recording Tutorial Slides
6	Jun 7	Training & Architectures	Transformers		Lecture Slides 📹 Lecture Recording Tutorial Slides Optimizers Demo
7	Jun 14	Geometry & 3D	Deep 3D		Lecture Slides 📹 Lecture Recording Tutorial Slides 3D Reconstruction Demo 3D Representations Demo LiDAR Demo Octree Demo PointNet Demo
8	Jun 21	Motion + Localization	Detection and Segmentation	HW 4 Due: Jul 5	Lecture Slides 📹 Lecture Recording Tutorial Slides Coarse-to-Fine LK Demo
9	Jun 28	Generative Models 1	Text to Image	HW 4 Due: Jul 5	Lecture Slides 📹 Lecture Recording Tutorial Slides
10	Jul 5	Generative Models 2	Generative Image Editing	HW 5 Due: Jul 19	Lecture Slides 📹 Lecture Recording Tutorial Slides 📹 Tutorial Recording
11	Jul 12	Self-Supervision + Interp.	Efficiency	HW 5 Due: Jul 19	Lecture Slides 📹 Lecture Recording Tutorial Slides
12	Jul 19	Neural Rendering	—	Final project period →	Lecture Slides 📹 Lecture Recording

Course Schedule