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Wan-Yen Lo
Researcher at Facebook
Publications - 5
Citations - 600
Wan-Yen Lo is an academic researcher from Facebook. The author has contributed to research in topics: Network planning and design & Hardware acceleration. The author has an hindex of 3, co-authored 5 publications receiving 206 citations.
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Accelerating 3D Deep Learning with PyTorch3D
Nikhila Ravi,Jeremy Reizenstein,David Novotny,Taylor Gordon,Wan-Yen Lo,Justin Johnson,Georgia Gkioxari +6 more
TL;DR: 1. Accelerating 3D Deep Learning with PyTorch3D, arXiv 2007 2. Mesh R-CNN, ICCV 2019 3. SynSin: End-to-end View Synthesis from a Single Image, CVPR 2020 4. Fast Differentiable Raycasting for Neural Rendering using Sphere-based Representations.
Proceedings ArticleDOI
On Network Design Spaces for Visual Recognition
TL;DR: A new comparison paradigm of distribution estimates is introduced, in which network design spaces are compared by applying statistical techniques to populations of sampled models, while controlling for confounding factors like network complexity.
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On Network Design Spaces for Visual Recognition
TL;DR: In this paper, the authors introduce a new comparison paradigm of distribution estimates, in which network design spaces are compared by applying statistical techniques to populations of sampled models, while controlling for confounding factors like network complexity.
Proceedings ArticleDOI
PyTorchVideo: A Deep Learning Library for Video Understanding
Haoqi Fan,Tullie Murrell,Heng Wang,Kalyan Vasudev Alwala,Yanghao Li,Yilei Li,Bo Xiong,Nikhila Ravi,Meng Li,Haichuan Yang,Jitendra Malik,Ross Girshick,Matt Feiszli,Aaron Adcock,Wan-Yen Lo,Christoph Feichtenhofer +15 more
TL;DR: PyTorchVideo as discussed by the authors is an open-source deep learning library that provides a rich set of modular, efficient, and reproducible components for a variety of video understanding tasks, including classification, detection, self-supervised learning, and low-level processing.
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PyTorchVideo: A Deep Learning Library for Video Understanding.
Haoqi Fan,Tullie Murrell,Heng Wang,Kalyan Vasudev Alwala,Yanghao Li,Yilei Li,Bo Xiong,Nikhila Ravi,Meng Li,Haichuan Yang,Jitendra Malik,Ross Girshick,Matt Feiszli,Aaron Adcock,Wan-Yen Lo,Christoph Feichtenhofer +15 more
TL;DR: PyTorchVideo as discussed by the authors is an open-source deep learning library that provides a rich set of modular, efficient, and reproducible components for a variety of video understanding tasks, including classification, detection, self-supervised learning, and low-level processing.