Today we’re joined by Georgia Gkioxari, a research scientist at Facebook AI Research (FAIR).
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Georgia was hand-picked by the TWIML community to discuss her work on the recently released open-source library PyTorch 3D. In our conversation, Georgia describes her experiences as a computer vision researcher prior to the 2012 deep learning explosion, and how the entire landscape has changed since then.
Georgia walks us through the user experience of PyTorchn3D, while also detailing who the target audience is, why the library is useful, and how it fits in the broad goal of giving computers better means of perception. Finally, Georgia gives us a look at what it’s like to be a co-chair for CVPR 2021 and the challenges with updating the peer review process for the larger academic conferences.
Connect with Georgia!
Resources
- PyTorch 3D Project Page
- 3D Deep Learning with PyTorch3D
- #360 – Geometry-Aware Neural Rendering with Josh Tobin
- Paper: Mesh rCNN
- Paper: NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
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“More On That Later” by Lee Rosevere licensed under CC By 4.0
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