TP4b.1

Physics-Informed Machine Learning for Computational Imaging

Kristina Monakhova, Massachusetts Institute of Technology, United States
Session:
TP4b: Advances in Aensing and Imaging (Invited) Lecture
Track:
Speech, Image and Video Processing
Location:
Nautilus
Presentation Time:
Tue, 31 Oct, 15:30 - 15:55 PT (UTC -7)
Session Chair:
Aviad Levis, California Institute of Technology
Presentation
Discussion
Resources
No resources available.
Session TP4b
TP4b.1: Physics-Informed Machine Learning for Computational Imaging
Kristina Monakhova, Massachusetts Institute of Technology, United States
TP4b.2: Thermal Image Calibration and Correction using Unpaired Cycle-Consistent Adversarial Networks
Hossein Rajoli, Pouya Afshin, Fatemeh Afghah, Clemson University, United States
TP4b.3: Learning to See: Data Driven Approaches for Optical Design
Nick Antipa, University of California San Diego, United States
TP4b.4: One-Bit Unlimited Sampling with Fourier Domain Recovery
Ruiming Guo, Ayush Bhandari, Imperial College London, United Kingdom
TP4b.5: Unlimited Sampling of FRI Signals with Dithered One-Bit Quantization
Arian Eamaz, Farhang Yeganegi, University of Illinois Chicago, United States; Kumar Vijay Mishra, United States DEVCOM Army Research Laboratory, United States; Mojtaba Soltanalian, University of Illinois Chicago, United States
Contacts