AI Rewind 2019: Trends in Computer Vision with Amir Zamir
EPISODE 338
|
JANUARY
9,
2020
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About this Episode
Today we close out AI Rewind 2019 joined by Amir Zamir, who recently began his tenure as an Assistant Professor of Computer Science at the Swiss Federal Institute of Technology.
Amir joined us on the podcast back in 2018 to discuss his CVPR Best Paper winner, and in today's conversation, we continue with the thread of Computer Vision. In our conversation, we discuss quite a few topics, including Vision-for-Robotics, the expansion of the field of 3D Vision, Self-Supervised Learning for CV Tasks, and much more! Check out the rest of the series at twimlai.com/rewind19!
We want to hear from you! Send your thoughts on the year that was 2019 below in the comments, or via Twitter at @samcharrington or @twimlai!
About the Guest
Amir Zamir
Swiss Federal Institute of Technology (EPFL)
Connect with Amir
Resources
- #164 - Taskonomy: Disentangling Transfer Learning for Perception (CVPR 2018 Best Paper Winner) with Amir Zamir
- Gibson Database of 3D Spaces
- Habitat 2019
- Habitat Background Info
- Mid-Level Visual Representations for Improving Generalization and Sample Efficiency of Visuomotor Policies
- Does Computer Vision Matter for Action?
- Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight
- Learning the Depths of Moving People by Watching Frozen People
- Deep Hough Voting for 3D Object Detection in Point Clouds
- Self-Supervised Learning Overview
- Data-Efficient Image Recognition with Contrastive Predictive Coding
- Image Synthesis with a Single (Robust) Classifier
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