2024
- Invited talk on “Computational Imaging: Restoration Deep Networks as Image Priors” the workshop on Imaging Inverse Problems and Generative Models in Edinburgh, UK. [slides]
2023
- Keynote talk on “Plug-and-Play Models for Large-Scale Computational Imaging” at the International Symposium on Computational Sensing (ISCS) 2023 in Luxembourg. [video]
2022
- Invited talk on “Computational Imaging: Integrating Physical and Learned Models” at EPFL. [slides] [video]
- Invited talk on “Plug-and-Play Models for Large-Scale Computational Imaging” at ENS de Lyon. [slides]
- Invited talk on “Online Deep Equilibrium Models for Computational Imaging” at the Google Computational Imaging Workshop. [slides]
- Invited talk at the CVPR UG2+ Workshop. [video]
2021
- Invited talk on “Computational Imaging: Reconciling Physical and Learned Models” at the Seminar in Mathematics, Physics & Machine Learning at Tecnico Lisboa. [video & slides]
- Invited talk on “Computational Imaging: Reconciling Physical and Learned Models” at the Signal and Information Processing (SIP) Seminar Series at Rutgers University. [video] [slides]
- Invited talk on “Computational Imaging: Reconciling Physical and Learned Models” at Stanford University Center for Image System Engineering (SCIEN). [slides]
2020
- Keynote on “Regularization by Artifact Removal (RARE): Image Reconstruction using Deep Priors Learned without Groundtruth” at the CVPR 2020 workshop on Computational Cameras and Displays (CCD). [video] [slides]
- Guest lecture on “Computational Imaging: Reconciling Models and Learning” at the Rice University. [video]
- Invited talk on “Computational Imaging: Reconciling Models and Learning” at the IPAM Workshop on Deep Learning and Medical Applications. [video] [slides]
2019
- Invited talk on “Computational Imaging: Reconciling Models and Learning in Scalable Algorithms” at the ICCV 2019 workshop on Learning for Computational Imaging. [slides]
- Summer school lecture on “Computational Imaging: Reconciling Models and Learning” at the Imaging in Wave Physics: Multi-Wave and Large Sensor Networks 2019. [slides]
- Invited talk on “Computational Microscopy: Reconciling Model-Based and Data-Adaptive Imaging” at the ORNL AI Summer Institute seminar series. [slides]
- Invited talk on “Computational Microscopy: Advanced Priors beyond Optimization” at the ICERM Workshop on Computational Imaging. [video] [slides]
2018
- Plenary talk on “Signal Processing for Nonlinear Diffractive Imaging” at iTWIST 2018. [video] [slides]
- Talk by Yu on “Stability of Scattering Decoder for Nonlinear Diffractive Imaging” at iTWIST 2018. [slides]
- Lecture notes on “Computational Imaging with Convex and Non-Convex Optimization” at iTWIST 2018 Doctoral School. [notes]