Zachary Teed will present his Pre FPO "Optimization Inspired Neural Networks for Multiview 3D" on Friday, January 21, 2022 at 4pm via Zoom.

Committee members:
Jia Deng (Adviser)
Adam Finkelstein
Felix Heide
Olga Russakovsky
Syzmon Rusinkiewicz

All are welcome to attend.

Title: Optimization Inspired Neural Networks for Multiview 3D

Abstract: Multiview 3D has traditionally been approached as an optimization problem. The solution is produced by an algorithm which searches over continuous variables (camera pose, depth, 3D points) to satisfy both geometric constraints and visual observations. In contrast, deep learning offers an alternative strategy where the solution is produced by a general-purpose network with learned weights. In this talk, I will be discussing a hybrid approach for multiview problems, where we explore neural architecture designs inspired by optimization. I then demonstrate this general strategy in building accurate and robust systems for optical flow, stereo, scene flow, and visual SLAM.