AI Rewind 2020: Trends in Computer Vision with Pavan Turaga
EPISODE 444
|
JANUARY
4,
2021
Watch
Follow
Share
About this Episode
AI Rewind continues today as we're joined by Pavan Turaga, Associate Professor, in both the Departments of Arts, Media, and Engineering & Electrical Engineering, and the Interim Director of the School of Arts, Media, and Engineering at Arizona State University.
Pavan, who joined us back in June to talk through his work from CVPR ‘20, Invariance, Geometry and Deep Neural Networks, is back to walk us through the trends he's seen in Computer Vision last year. We explore the revival of physics-based thinking about scenes, differential rendering, the best papers, and where the field is going in the near future.
We want to hear from you! Send your thoughts on the year that was 2020 below in the comments, or via Twitter at @samcharrington or @twimlai.
To follow along with the 2020 AI Rewind Series, head over to the series page!
About the Guest
Pavan Turaga
Arizona State University
Resources
- Invariance, Geometry and Deep Neural Networks with Pavan Turaga
- NeRF Representing Scenes as Neural Radiance Fields for View Synthesis
- Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
- Implicit Neural Representations with Periodic Activation Functions NeurIPS
- Computing the Testing Error without a Testing Set
- GANs Improve Video Conferencing with Maxine - Paper
- Neural Filters

