75.5k citations · 100.8k across the 160 of their papers we have counts for
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Personalizing Human Video Pose Estimation
James Charles, Tomas Pfister, Derek Magee +2
We propose a personalized ConvNet pose estimator that automatically adapts itself to the uniqueness of a person's appearance to improve pose estimation in long videos. We make the…
Flowing ConvNets for Human Pose Estimation in Videos
Tomas Pfister, James Charles, Andrew Zisserman
The objective of this work is human pose estimation in videos, where multiple frames are available. We investigate a ConvNet architecture that is able to benefit from temporal cont…
Spatial Transformer Networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman +1
Convolutional Neural Networks define an exceptionally powerful class of models, but are still limited by the lack of ability to be spatially invariant to the input data in a comput…