Schedule (Tentative)

The following is my compile-time schedule of this term. It will be updated as we collect more runtime information.

The presentation schedule/sign-up sheet is here.

Introduction (8/30) slides
Required Reading
Further Reading
Image Sensing (9/4)
Required Reading
Further Reading
Imaging and Vision Hardware (9/6, 9/11, 9/13)
Required Reading
Further Reading Rethinking classic ISP algorithms and hardware -- ISP now mostly produces images for CV algorithms, not human: Imaging algorithms, including the original HDR paper and the HDR+ paper that forms the basis of the HDR algorithm in Pixel 2 Camera, and a neural-network learning-based approach: We won't have time to discuss light field, but here are some resources for you:
Systems for Imaging and Vision (9/18, 9/20)
Required Reading
Further Reading
Language for Imaging and Vision (10/2, 10/4, 10/9, 10/11)
Required Reading
Further Reading
Virtual Reality (10/18, 10/23, 10/25)
Required Reading
Further Reading VR video capture: GPU-based VR video processing is essentially texture mapping.
Machine Learning and Deep Learning (10/30, 11/1, 11/6, 11/8)
Required Reading
Further Reading Neural Networks in the optical domain (you will need to teach yourself a bit of optics background, but nothing fancy):
SoC Optimizations (11/13, 11/15, 11/20)
Required Reading
Further Reading
Robotics and Autonomous Vehicle (11/27, 11/29, 12/4)
Required Reading
Further Reading
Victory Lap, Wild-and-Crazy Presentations (12/6, 12/11)
  • Day 1 (12/6)
  • Day 2 (12/11)