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05/09/2023
ImageBind: One Embedding Space To Bind Them All
We present ImageBind, an approach to learn a joint embedding across six ...
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03/23/2023
The effectiveness of MAE pre-pretraining for billion-scale pretraining
This paper revisits the standard pretrain-then-finetune paradigm used in...
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06/16/2022
OmniMAE: Single Model Masked Pretraining on Images and Videos
Transformer-based architectures have become competitive across a variety...
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11/18/2021
PyTorchVideo: A Deep Learning Library for Video Understanding
We introduce PyTorchVideo, an open-source deep-learning library that pro...
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05/28/2021
Revitalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation
We propose a novel sparse constrained formulation and from it derive a r...
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11/13/2020
Joint Sampling and Trajectory Optimization over Graphs for Online Motion Planning
Among the most prevailing motion planning techniques, sampling and traje...
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06/19/2019